def estimate_2ndseg_lift_drag_ratio(config):
"""Estimates the 2nd segment climb lift to drag ratio (all engine operating)
Assumptions:
All engines operating
Source:
Fig. 27.34 of "Aerodynamic Design of Transport Airplane" - Obert
Inputs:
config.
V2_VS_ratio [Unitless]
wings.
areas.reference [m^2]
spans.projected [m]
aspect_ratio [Unitless]
maximum_lift_coefficient [Unitless]
Outputs:
lift_drag_ratio [Unitless]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
try:
V2_VS_ratio = config.V2_VS_ratio
except:
V2_VS_ratio = 1.20 # typical condition
# getting geometrical data (aspect ratio)
n_wing = 0
for wing in config.wings:
if not isinstance(wing,Wings.Main_Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span ** 2 / reference_area
n_wing += 1
if n_wing > 1:
print(' More than one Main_Wing in the config. Last one will be considered.')
elif n_wing == 0:
print('No Main_Wing defined! Using the 1st wing found')
for wing in config.wings:
if not isinstance(wing,Wings.Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span ** 2 / reference_area
break
# Determining vehicle maximum lift coefficient
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = config.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = Data()
conditions.freestream = Data()
conditions.freestream.density = 0.90477283
conditions.freestream.dynamic_viscosity = 1.69220918e-05
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(config,conditions)
config.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError("Maximum lift coefficient calculation error. Please, check inputs")
# Compute CL in V2
lift_coeff = maximum_lift_coefficient / (V2_VS_ratio ** 2)
# Estimate L/D in 2nd segment condition, ALL ENGINES OPERATIVE!
lift_drag_ratio = -6.464 * lift_coeff + 7.264 * aspect_ratio ** 0.5
return lift_drag_ratio
def estimate_take_off_field_length(vehicle,analyses,airport,compute_2nd_seg_climb = 0):
""" Computes the takeoff field length for a given vehicle configuration in a given airport.
Also optionally computes the second segment climb gradient.
Assumptions:
For second segment climb gradient:
One engine inoperative
Only validated for two engine aircraft
Source:
http://adg.stanford.edu/aa241/AircraftDesign.html
Inputs:
analyses.base.atmosphere [SUAVE data type]
airport.
altitude [m]
delta_isa [K]
vehicle.
mass_properties.takeoff [kg]
reference_area [m^2]
V2_VS_ratio (optional) [Unitless]
maximum_lift_coefficient (optional) [Unitless]
propulsors.*.number_of_engines [Unitless]
Outputs:
takeoff_field_length [m]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
atmo = analyses.base.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.takeoff
reference_area = vehicle.reference_area
try:
V2_VS_ratio = vehicle.V2_VS_ratio
except:
V2_VS_ratio = 1.20
# ==============================================
# Computing atmospheric conditions
# ==============================================
atmo_values = atmo.compute_values(altitude,delta_isa)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = atmo.compute_values(10000. * Units.ft)
conditions.freestream=Data()
conditions.freestream.density = conditions.density
conditions.freestream.dynamic_viscosity = conditions.dynamic_viscosity
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(vehicle,conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, V2, 0.7*V2)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity / (rho * reference_area * maximum_lift_coefficient)) ** 0.5
V2_speed = V2_VS_ratio * stall_speed
speed_for_thrust = 0.70 * V2_speed
# ==============================================
# Determining vehicle number of engines
# ==============================================
engine_number = 0.
for propulsor in vehicle.propulsors : # may have than one propulsor
engine_number += propulsor.number_of_engines
if engine_number == 0:
raise ValueError, "No engine found in the vehicle"
# ==============================================
# Getting engine thrust
# ==============================================
state = Data()
state.conditions = Aerodynamics()
state.numerics = Numerics()
conditions = state.conditions
conditions.freestream.dynamic_pressure = np.array(np.atleast_1d(0.5 * rho * speed_for_thrust**2))
conditions.freestream.gravity = np.array([np.atleast_1d(sea_level_gravity)])
conditions.freestream.velocity = np.array(np.atleast_1d(speed_for_thrust))
conditions.freestream.mach_number = np.array(np.atleast_1d(speed_for_thrust/ a))
conditions.freestream.speed_of_sound = np.array(a)
conditions.freestream.temperature = np.array(np.atleast_1d(T))
conditions.freestream.pressure = np.array(np.atleast_1d(p))
conditions.propulsion.throttle = np.array(np.atleast_1d(1.))
results = vehicle.propulsors.evaluate_thrust(state) # total thrust
thrust = results.thrust_force_vector
# ==============================================
# Calculate takeoff distance
# ==============================================
# Defining takeoff distance equations coefficients
try:
takeoff_constants = vehicle.takeoff_constants # user defined
except: # default values
takeoff_constants = np.zeros(3)
if engine_number == 2:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
elif engine_number == 3:
takeoff_constants[0] = 667.9
takeoff_constants[1] = 2.343
takeoff_constants[2] = 0.000093
elif engine_number == 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
elif engine_number > 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
print 'The vehicle has more than 4 engines. Using 4 engine correlation. Result may not be correct.'
else:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
print 'Incorrect number of engines: {0:.1f}. Using twin engine correlation.'.format(engine_number)
# Define takeoff index (V2^2 / (T/W)
takeoff_index = V2_speed**2. / (thrust[0][0] / weight)
# Calculating takeoff field length
takeoff_field_length = 0.
for idx,constant in enumerate(takeoff_constants):
takeoff_field_length += constant * takeoff_index**idx
takeoff_field_length = takeoff_field_length * Units.ft
# calculating second segment climb gradient, if required by user input
if compute_2nd_seg_climb:
# Getting engine thrust at V2 (update only speed related conditions)
state.conditions.freestream.dynamic_pressure = np.array(np.atleast_1d(0.5 * rho * V2_speed**2))
state.conditions.freestream.velocity = np.array(np.atleast_1d(V2_speed))
state.conditions.freestream.mach_number = np.array(np.atleast_1d(V2_speed/ a))
results = vehicle.propulsors['turbofan'].engine_out(state)
thrust = results.thrust_force_vector[0][0]
# Compute windmilling drag
windmilling_drag_coefficient = windmilling_drag(vehicle,state)
# Compute asymmetry drag
asymmetry_drag_coefficient = asymmetry_drag(state, vehicle, windmilling_drag_coefficient)
# Compute l over d ratio for takeoff condition, NO engine failure
l_over_d = estimate_2ndseg_lift_drag_ratio(vehicle)
# Compute L over D ratio for takeoff condition, WITH engine failure
clv2 = maximum_lift_coefficient / (V2_VS_ratio) **2
cdv2_all_engine = clv2 / l_over_d
cdv2 = cdv2_all_engine + asymmetry_drag_coefficient + windmilling_drag_coefficient
l_over_d_v2 = clv2 / cdv2
# Compute 2nd segment climb gradient
second_seg_climb_gradient = thrust / (weight*sea_level_gravity) - 1. / l_over_d_v2
return takeoff_field_length, second_seg_climb_gradient
else:
# return only takeoff_field_length
return takeoff_field_length
def estimate_landing_field_length(vehicle, analyses, airport):
""" Computes the landing field length for a given vehicle configuration in a given airport.
Assumptions:
See source
Two wheel trucks (code needed for four wheel trucks also included)
Source:
Torenbeek, E., "Advanced Aircraft Design", 2013 (equation 9.25)
Inputs:
airport.
atmosphere [SUAVE data type]
altitude [m]
delta_isa [K]
vehicle.
mass_properties.landing [kg]
reference_area [m^2]
maximum_lift_coefficient (optional) [Unitless]
Outputs:
landing_field_length [m]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
atmo = airport.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.landing
reference_area = vehicle.reference_area
try:
Vref_VS_ratio = vehicle.Vref_VS_ratio
except:
Vref_VS_ratio = 1.23
# ==============================================
# Computing atmospheric conditions
# ==============================================
atmo_values = atmo.compute_values(altitude, delta_isa)
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
# Condition to CLmax calculation: 90KTAS @ airport
state = Data()
state.conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics(
)
state.conditions.freestream = Data()
state.conditions.freestream.density = rho
state.conditions.freestream.velocity = 90. * Units.knots
state.conditions.freestream.dynamic_viscosity = mu
settings = analyses.aerodynamics.settings
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(
state, settings, vehicle)
# ==============================================
# Computing speeds (Vs, Vref)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity /
(rho * reference_area * maximum_lift_coefficient))**0.5
Vref = stall_speed * Vref_VS_ratio
# ========================================================================================
# Computing landing distance, according to Torenbeek equation
# Landing Field Length = k1 + k2 * Vref**2
# ========================================================================================
# Defining landing distance equation coefficients
try:
landing_constants = config.landing_constants # user defined
except: # default values - According to Torenbeek book
landing_constants = np.zeros(3)
landing_constants[0] = 250.
landing_constants[1] = 0.
landing_constants[
2] = 2.485 / sea_level_gravity # Two-wheels truck : [ (1.56 / 0.40 + 1.07) / (2*sea_level_gravity) ]
#landing_constants[2] = 2.9725 / sea_level_gravity # Four-wheels truck: [ (1.56 / 0.32 + 1.07) / (2*sea_level_gravity) ]
# Calculating landing field length
landing_field_length = 0.
for idx, constant in enumerate(landing_constants):
landing_field_length += constant * Vref**idx
# return
return landing_field_length
def estimate_landing_field_length(vehicle,config,airport):
""" SUAVE.Methods.Performance.estimate_landing_field_length(vehicle,config,airport):
Computes the landing field length for a given vehicle condition in a given airport
Inputs:
vehicle - SUAVE type vehicle
config - data dictionary with fields:
Mass_Properties.landing - Landing weight to be evaluated
S - Wing Area
Vref_VS_ratio - Ratio between Approach Speed and Stall speed
[optional. Default value = 1.23]
maximum_lift_coefficient - Maximum lift coefficient for the config
[optional. Calculated if not informed]
airport - SUAVE type airport data, with followig fields:
atmosphere - Airport atmosphere (SUAVE type)
altitude - Airport altitude
delta_isa - ISA Temperature deviation
Outputs:
landing_field_length - Landing field length
Assumptions:
- Landing field length calculated according to Torenbeek, E., "Advanced
Aircraft Design", 2013 (equation 9.25)
- Considering average aav/g values of two-wheel truck (0.40)
"""
# ==============================================
# Unpack
# ==============================================
atmo = airport.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = config.mass_properties.landing
reference_area = config.reference_area
try:
Vref_VS_ratio = config.Vref_VS_ratio
except:
Vref_VS_ratio = 1.23
# ==============================================
# Computing atmospheric conditions
# ==============================================
p0, T0, rho0, a0, mu0 = atmo.compute_values(0)
p , T , rho , a , mu = atmo.compute_values(altitude)
T_delta_ISA = T + delta_isa
sigma_disa = (p/p0) / (T_delta_ISA/T0)
rho = rho0 * sigma_disa
a_delta_ISA = atmo.fluid_properties.compute_speed_of_sound(T_delta_ISA)
mu = 1.78938028e-05 * ((T0 + 120) / T0 ** 1.5) * ((T_delta_ISA ** 1.5) / (T_delta_ISA + 120))
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = config.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
p_stall , T_stall , rho_stall , a_stall , mu_stall = atmo.compute_values(10000. * Units.ft)
conditions = Data()
conditions.freestream = Data()
conditions.freestream.density = rho_stall
conditions.freestream.viscosity = mu_stall
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(config,conditions)
config.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, Vref)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity / (rho * reference_area * maximum_lift_coefficient)) ** 0.5
Vref = stall_speed * Vref_VS_ratio
# ========================================================================================
# Computing landing distance, according to Torenbeek equation
# Landing Field Length = k1 + k2 * Vref**2
# ========================================================================================
# Defining landing distance equation coefficients
try:
landing_constants = config.landing_constants # user defined
except: # default values - According to Torenbeek book
landing_constants = np.zeros(3)
landing_constants[0] = 250.
landing_constants[1] = 0.
landing_constants[2] = 2.485 / sea_level_gravity # Two-wheels truck : [ (1.56 / 0.40 + 1.07) / (2*sea_level_gravity) ]
## landing_constants[2] = 2.9725 / sea_level_gravity # Four-wheels truck: [ (1.56 / 0.32 + 1.07) / (2*sea_level_gravity) ]
# Calculating landing field length
landing_field_length = 0.
for idx,constant in enumerate(landing_constants):
landing_field_length += constant * Vref**idx
# return
return landing_field_length
def estimate_landing_field_length(vehicle, analyses, airport):
""" SUAVE.Methods.Performance.estimate_landing_field_length(vehicle,config,airport):
Computes the landing field length for a given vehicle condition in a given airport
Inputs:
vehicle - SUAVE type vehicle
config - data dictionary with fields:
Mass_Properties.landing - Landing weight to be evaluated
S - Wing Area
Vref_VS_ratio - Ratio between Approach Speed and Stall speed
[optional. Default value = 1.23]
maximum_lift_coefficient - Maximum lift coefficient for the config
[optional. Calculated if not informed]
airport - SUAVE type airport data, with followig fields:
atmosphere - Airport atmosphere (SUAVE type)
altitude - Airport altitude
delta_isa - ISA Temperature deviation
Outputs:
landing_field_length - Landing field length
Assumptions:
- Landing field length calculated according to Torenbeek, E., "Advanced
Aircraft Design", 2013 (equation 9.25)
- Considering average aav/g values of two-wheel truck (0.40)
"""
# ==============================================
# Unpack
# ==============================================
atmo = airport.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.landing
reference_area = vehicle.reference_area
try:
Vref_VS_ratio = config.Vref_VS_ratio
except:
Vref_VS_ratio = 1.23
# ==============================================
# Computing atmospheric conditions
# ==============================================
atmo_values = atmo.compute_values(altitude, delta_isa)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
conditions.freestream = Data()
conditions.freestream.density = rho
conditions.freestream.dynamic_viscosity = mu
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(
vehicle, conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, Vref)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity /
(rho * reference_area * maximum_lift_coefficient))**0.5
Vref = stall_speed * Vref_VS_ratio
# ========================================================================================
# Computing landing distance, according to Torenbeek equation
# Landing Field Length = k1 + k2 * Vref**2
# ========================================================================================
# Defining landing distance equation coefficients
try:
landing_constants = config.landing_constants # user defined
except: # default values - According to Torenbeek book
landing_constants = np.zeros(3)
landing_constants[0] = 250.
landing_constants[1] = 0.
landing_constants[
2] = 2.485 / sea_level_gravity # Two-wheels truck : [ (1.56 / 0.40 + 1.07) / (2*sea_level_gravity) ]
## landing_constants[2] = 2.9725 / sea_level_gravity # Four-wheels truck: [ (1.56 / 0.32 + 1.07) / (2*sea_level_gravity) ]
# Calculating landing field length
landing_field_length = 0.
for idx, constant in enumerate(landing_constants):
landing_field_length += constant * Vref**idx
# return
return landing_field_length
def estimate_2ndseg_lift_drag_ratio(config):
"""Estimates the 2nd segment climb lift to drag ratio (all engine operating)
Assumptions:
All engines operating
Source:
Fig. 27.34 of "Aerodynamic Design of Transport Airplane" - Obert
Inputs:
config.
V2_VS_ratio [Unitless]
wings.
areas.reference [m^2]
spans.projected [m]
aspect_ratio [Unitless]
maximum_lift_coefficient [Unitless]
Outputs:
lift_drag_ratio [Unitless]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
try:
V2_VS_ratio = config.V2_VS_ratio
except:
V2_VS_ratio = 1.20 # typical condition
# getting geometrical data (aspect ratio)
n_wing = 0
for wing in config.wings:
if not isinstance(wing,Wings.Main_Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span ** 2 / reference_area
n_wing += 1
if n_wing > 1:
print ' More than one Main_Wing in the config. Last one will be considered.'
elif n_wing == 0:
print 'No Main_Wing defined! Using the 1st wing found'
for wing in config.wings:
if not isinstance(wing,Wings.Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span ** 2 / reference_area
break
# Determining vehicle maximum lift coefficient
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = config.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = Data()
conditions.freestream = Data()
conditions.freestream.density = 0.90477283
conditions.freestream.dynamic_viscosity = 1.69220918e-05
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(config,conditions)
config.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# Compute CL in V2
lift_coeff = maximum_lift_coefficient / (V2_VS_ratio ** 2)
# Estimate L/D in 2nd segment condition, ALL ENGINES OPERATIVE!
lift_drag_ratio = -6.464 * lift_coeff + 7.264 * aspect_ratio ** 0.5
return lift_drag_ratio
def estimate_take_off_field_length(vehicle,
analyses,
airport,
compute_2nd_seg_climb=0):
""" Computes the takeoff field length for a given vehicle configuration in a given airport.
Also optionally computes the second segment climb gradient.
Assumptions:
For second segment climb gradient:
One engine inoperative
Only validated for two engine aircraft
Source:
http://adg.stanford.edu/aa241/AircraftDesign.html
Inputs:
analyses.base.atmosphere [SUAVE data type]
airport.
altitude [m]
delta_isa [K]
vehicle.
mass_properties.takeoff [kg]
reference_area [m^2]
V2_VS_ratio (optional) [Unitless]
maximum_lift_coefficient (optional) [Unitless]
propulsors.*.number_of_engines [Unitless]
Outputs:
takeoff_field_length [m]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
atmo = analyses.base.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.takeoff
reference_area = vehicle.reference_area
try:
V2_VS_ratio = vehicle.V2_VS_ratio
except:
V2_VS_ratio = 1.20
# ==============================================
# Computing atmospheric conditions
# ==============================================
atmo_values = atmo.compute_values(altitude, delta_isa)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = atmo.compute_values(10000. * Units.ft)
conditions.freestream = Data()
conditions.freestream.density = conditions.density
conditions.freestream.dynamic_viscosity = conditions.dynamic_viscosity
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(
vehicle, conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, V2, 0.7*V2)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity /
(rho * reference_area * maximum_lift_coefficient))**0.5
V2_speed = V2_VS_ratio * stall_speed
speed_for_thrust = 0.70 * V2_speed
# ==============================================
# Determining vehicle number of engines
# ==============================================
engine_number = 0.
for propulsor in vehicle.propulsors: # may have than one propulsor
engine_number += propulsor.number_of_engines
if engine_number == 0:
raise ValueError, "No engine found in the vehicle"
# ==============================================
# Getting engine thrust
# ==============================================
state = Data()
state.conditions = Aerodynamics()
state.numerics = Numerics()
conditions = state.conditions
conditions.freestream.dynamic_pressure = np.array(
np.atleast_1d(0.5 * rho * speed_for_thrust**2))
conditions.freestream.gravity = np.array(
[np.atleast_1d(sea_level_gravity)])
conditions.freestream.velocity = np.array(np.atleast_1d(speed_for_thrust))
conditions.freestream.mach_number = np.array(
np.atleast_1d(speed_for_thrust / a))
conditions.freestream.temperature = np.array(np.atleast_1d(T))
conditions.freestream.pressure = np.array(np.atleast_1d(p))
conditions.propulsion.throttle = np.array(np.atleast_1d(1.))
results = vehicle.propulsors.evaluate_thrust(state) # total thrust
thrust = results.thrust_force_vector
# ==============================================
# Calculate takeoff distance
# ==============================================
# Defining takeoff distance equations coefficients
try:
takeoff_constants = vehicle.takeoff_constants # user defined
except: # default values
takeoff_constants = np.zeros(3)
if engine_number == 2:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
elif engine_number == 3:
takeoff_constants[0] = 667.9
takeoff_constants[1] = 2.343
takeoff_constants[2] = 0.000093
elif engine_number == 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
elif engine_number > 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
print 'The vehicle has more than 4 engines. Using 4 engine correlation. Result may not be correct.'
else:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
print 'Incorrect number of engines: {0:.1f}. Using twin engine correlation.'.format(
engine_number)
# Define takeoff index (V2^2 / (T/W)
takeoff_index = V2_speed**2. / (thrust[0][0] / weight)
# Calculating takeoff field length
takeoff_field_length = 0.
for idx, constant in enumerate(takeoff_constants):
takeoff_field_length += constant * takeoff_index**idx
takeoff_field_length = takeoff_field_length * Units.ft
# calculating second segment climb gradient, if required by user input
if compute_2nd_seg_climb:
# Getting engine thrust at V2 (update only speed related conditions)
state.conditions.freestream.dynamic_pressure = np.array(
np.atleast_1d(0.5 * rho * V2_speed**2))
state.conditions.freestream.velocity = np.array(
np.atleast_1d(V2_speed))
state.conditions.freestream.mach_number = np.array(
np.atleast_1d(V2_speed / a))
results = vehicle.propulsors['turbofan'].engine_out(state)
thrust = results.thrust_force_vector[0][0]
# Compute windmilling drag
windmilling_drag_coefficient = windmilling_drag(vehicle, state)
# Compute asymmetry drag
asymmetry_drag_coefficient = asymmetry_drag(
state, vehicle, windmilling_drag_coefficient)
# Compute l over d ratio for takeoff condition, NO engine failure
l_over_d = estimate_2ndseg_lift_drag_ratio(vehicle)
# Compute L over D ratio for takeoff condition, WITH engine failure
clv2 = maximum_lift_coefficient / (V2_VS_ratio)**2
cdv2_all_engine = clv2 / l_over_d
cdv2 = cdv2_all_engine + asymmetry_drag_coefficient + windmilling_drag_coefficient
l_over_d_v2 = clv2 / cdv2
# Compute 2nd segment climb gradient
second_seg_climb_gradient = thrust / (
weight * sea_level_gravity) - 1. / l_over_d_v2
return takeoff_field_length, second_seg_climb_gradient
else:
# return only takeoff_field_length
return takeoff_field_length
def estimate_2ndseg_lift_drag_ratio(config):
""" SUAVE.Methods.Aerodynamics.Drag.Correlations.estimate_2ndseg_lift_drag_ratio(config):
Estimates the 2nd segment Lift to drag ration (all engine operating)
Inputs:
config - data dictionary with fields:
reference_area - Airplane reference area
V2_VS_ratio - Ratio between V2 and Stall speed
[optional. Default value = 1.20]
Main_Wing.aspect_ratio - Main_Wing aspect ratio
maximum_lift_coefficient - Maximum lift coefficient for the config
[Calculated if not informed]
Outputs:
takeoff_field_length - Takeoff field length
Assumptions:
All engines Operating. Must be corrected for second segment climb configuration
reference: Fig. 27.34 of "Aerodynamic Design of Transport Airplane" - Obert
"""
# ==============================================
# Unpack
# ==============================================
try:
V2_VS_ratio = config.V2_VS_ratio
except:
V2_VS_ratio = 1.20 # typical condition
# getting geometrical data (aspect ratio)
n_wing = 0
for wing in config.wings:
if not isinstance(wing, Wings.Main_Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span**2 / reference_area
n_wing += 1
if n_wing > 1:
print ' More than one Main_Wing in the config. Last one will be considered.'
elif n_wing == 0:
print 'No Main_Wing defined! Using the 1st wing found'
for wing in config.wings:
if not isinstance(wing, Wings.Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span**2 / reference_area
break
# Determining vehicle maximum lift coefficient
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = config.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = Data()
conditions.freestream = Data()
conditions.freestream.density = 0.90477283
conditions.freestream.dynamic_viscosity = 1.69220918e-05
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(
config, conditions)
config.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# Compute CL in V2
lift_coeff = maximum_lift_coefficient / (V2_VS_ratio**2)
# Estimate L/D in 2nd segment condition, ALL ENGINES OPERATIVE!
lift_drag_ratio = -6.464 * lift_coeff + 7.264 * aspect_ratio**0.5
return lift_drag_ratio
def estimate_take_off_field_length(vehicle,analyses,airport,compute_2nd_seg_climb = 0):
""" SUAVE.Methods.Performance.estimate_take_off_field_length(vehicle,analyses,airport,compute_2nd_seg_climb = 0):
Computes the takeoff field length for a given vehicle condition in a given airport, and
allow user to compute 2nd segment climb gradient
Inputs:
vehicle - SUAVE type vehicle, with following fields:
mass_properties.takeoff - Takeoff weight to be evaluated
vehicle.reference_area - Airplane reference area
V2_VS_ratio - Ratio between V2 and Stall speed
[optional. Default value = 1.20]
takeoff_constants - Coefficients for takeoff field length equation
[optional. Default values: AA241 method]
maximum_lift_coefficient - Maximum lift coefficient for the config
[Calculated if not informed]
analyses - SUAVE analyses type data structure, with the following fields:
analyses.base.atmosphere - Atmosphere to be used for calculation
airport - SUAVE type airport data, with followig fields:
atmosphere - Airport atmosphere (SUAVE type)
altitude - Airport altitude
delta_isa - ISA Temperature deviation
compute_2nd_seg_climb - Flag to define if second segment climb gradient
should be calculated
Outputs:
takeoff_field_length - Takeoff field length
second_seg_climb_gradient - Second Segment Climb gradient [ optional]
Assumptions:
Correlation based.
Second segment climb gradient:
- Considers ONE engine inoperative, for any number of engines.
- Valid for twin engine airplane - NOT VALIDATED/VERIFICATED WITH 3 OR MORE ENGINES.
"""
# ==============================================
# Unpack
# ==============================================
atmo = analyses.base.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.takeoff
reference_area = vehicle.reference_area
try:
V2_VS_ratio = vehicle.V2_VS_ratio
except:
V2_VS_ratio = 1.20
# ==============================================
# Computing atmospheric conditions
# ==============================================
atmo_values = atmo.compute_values(altitude,delta_isa)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = atmo.compute_values(10000. * Units.ft)
conditions.freestream=Data()
conditions.freestream.density = conditions.density
conditions.freestream.dynamic_viscosity = conditions.dynamic_viscosity
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(vehicle,conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, V2, 0.7*V2)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity / (rho * reference_area * maximum_lift_coefficient)) ** 0.5
V2_speed = V2_VS_ratio * stall_speed
speed_for_thrust = 0.70 * V2_speed
# ==============================================
# Determining vehicle number of engines
# ==============================================
engine_number = 0.
for propulsor in vehicle.propulsors : # may have than one propulsor
engine_number += propulsor.number_of_engines
if engine_number == 0:
raise ValueError, "No engine found in the vehicle"
# ==============================================
# Getting engine thrust
# ==============================================
state = Data()
state.conditions = Aerodynamics()
state.numerics = Numerics()
conditions = state.conditions
conditions.freestream.dynamic_pressure = np.array(np.atleast_1d(0.5 * rho * speed_for_thrust**2))
conditions.freestream.gravity = np.array([np.atleast_1d(sea_level_gravity)])
conditions.freestream.velocity = np.array(np.atleast_1d(speed_for_thrust))
conditions.freestream.mach_number = np.array(np.atleast_1d(speed_for_thrust/ a))
conditions.freestream.temperature = np.array(np.atleast_1d(T))
conditions.freestream.pressure = np.array(np.atleast_1d(p))
conditions.propulsion.throttle = np.array(np.atleast_1d(1.))
results = vehicle.propulsors.evaluate_thrust(state) # total thrust
thrust = results.thrust_force_vector
# ==============================================
# Calculate takeoff distance
# ==============================================
# Defining takeoff distance equations coefficients
try:
takeoff_constants = vehicle.takeoff_constants # user defined
except: # default values
takeoff_constants = np.zeros(3)
if engine_number == 2:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
elif engine_number == 3:
takeoff_constants[0] = 667.9
takeoff_constants[1] = 2.343
takeoff_constants[2] = 0.000093
elif engine_number == 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
elif engine_number > 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
print 'The vehicle has more than 4 engines. Using 4 engine correlation. Result may not be correct.'
else:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
print 'Incorrect number of engines: {0:.1f}. Using twin engine correlation.'.format(engine_number)
# Define takeoff index (V2^2 / (T/W)
takeoff_index = V2_speed**2. / (thrust[0][0] / weight)
# Calculating takeoff field length
takeoff_field_length = 0.
for idx,constant in enumerate(takeoff_constants):
takeoff_field_length += constant * takeoff_index**idx
takeoff_field_length = takeoff_field_length * Units.ft
# calculating second segment climb gradient, if required by user input
if compute_2nd_seg_climb:
# Getting engine thrust at V2 (update only speed related conditions)
state.conditions.freestream.dynamic_pressure = np.array(np.atleast_1d(0.5 * rho * V2_speed**2))
state.conditions.freestream.velocity = np.array(np.atleast_1d(V2_speed))
state.conditions.freestream.mach_number = np.array(np.atleast_1d(V2_speed/ a))
results = vehicle.propulsors[0].engine_out(state)
thrust = results.thrust_force_vector[0][0]
# Compute windmilling drag
windmilling_drag_coefficient = windmilling_drag(vehicle,state)
# Compute asymmetry drag
asymmetry_drag_coefficient = asymmetry_drag(state, vehicle, windmilling_drag_coefficient)
# Compute l over d ratio for takeoff condition, NO engine failure
l_over_d = estimate_2ndseg_lift_drag_ratio(vehicle)
# Compute L over D ratio for takeoff condition, WITH engine failure
clv2 = maximum_lift_coefficient / (V2_VS_ratio) **2
cdv2_all_engine = clv2 / l_over_d
cdv2 = cdv2_all_engine + asymmetry_drag_coefficient + windmilling_drag_coefficient
l_over_d_v2 = clv2 / cdv2
# Compute 2nd segment climb gradient
second_seg_climb_gradient = thrust / (weight*sea_level_gravity) - 1. / l_over_d_v2
return takeoff_field_length, second_seg_climb_gradient
else:
# return only takeoff_field_length
return takeoff_field_length
def estimate_take_off_field_length(vehicle,analyses,airport):
""" SUAVE.Methods.Performance.estimate_take_off_field_length(vehicle,airport):
Computes the takeoff field length for a given vehicle condition in a given airport
Inputs:
vehicle - SUAVE type vehicle
includes these fields:
Mass_Properties.takeoff - Takeoff weight to be evaluated
S - Wing Area
V2_VS_ratio - Ratio between V2 and Stall speed
[optional. Default value = 1.20]
takeoff_constants - Coefficients for takeoff field length equation
[optional. Default values: AA241 method]
maximum_lift_coefficient - Maximum lift coefficient for the config
[optional. Calculated if not informed]
airport - SUAVE type airport data, with followig fields:
atmosphere - Airport atmosphere (SUAVE type)
altitude - Airport altitude
delta_isa - ISA Temperature deviation
Outputs:
takeoff_field_length - Takeoff field length
Assumptions:
Correlation based.
"""
# ==============================================
# Unpack
# ==============================================
atmo = airport.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.takeoff
reference_area = vehicle.reference_area
try:
V2_VS_ratio = vehicle.V2_VS_ratio
except:
V2_VS_ratio = 1.20
# ==============================================
# Computing atmospheric conditions
# ==============================================
conditions0 = atmo.compute_values(0.)
atmo_values = atmo.compute_values(altitude)
conditions =SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu =atmo_values.dynamic_viscosity
p0 = conditions0.pressure
T0 = conditions0.temperature
rho0 = conditions0.density
a0 = conditions0.speed_of_sound
mu0 = conditions0.dynamic_viscosity
T_delta_ISA = T + delta_isa
sigma_disa = (p/p0) / (T_delta_ISA/T0)
rho = rho0 * sigma_disa
a_delta_ISA = atmo.fluid_properties.compute_speed_of_sound(T_delta_ISA)
mu = 1.78938028e-05 * ((T0 + 120) / T0 ** 1.5) * ((T_delta_ISA ** 1.5) / (T_delta_ISA + 120))
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = atmo.compute_values(10000. * Units.ft)
conditions.freestream=Data()
conditions.freestream.density = conditions.density
conditions.freestream.dynamic_viscosity = conditions.dynamic_viscosity
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(vehicle,conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, V2, 0.7*V2)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity / (rho * reference_area * maximum_lift_coefficient)) ** 0.5
V2_speed = V2_VS_ratio * stall_speed
speed_for_thrust = 0.70 * V2_speed
# ==============================================
# Determining vehicle number of engines
# ==============================================
engine_number = 0.
for propulsor in vehicle.propulsors : # may have than one propulsor
engine_number += propulsor.number_of_engines
if engine_number == 0:
raise ValueError, "No engine found in the vehicle"
# ==============================================
# Getting engine thrust
# ==============================================
state = Data()
state.conditions = conditions
state.numerics = Data()
conditions.freestream = Data()
conditions.propulsion = Data()
conditions.freestream.dynamic_pressure = np.array(np.atleast_1d(0.5 * rho * speed_for_thrust**2))
conditions.freestream.gravity = np.array([np.atleast_1d(sea_level_gravity)])
conditions.freestream.velocity = np.array(np.atleast_1d(speed_for_thrust))
conditions.freestream.mach_number = np.array(np.atleast_1d(speed_for_thrust/ a_delta_ISA))
conditions.freestream.temperature = np.array(np.atleast_1d(T_delta_ISA))
conditions.freestream.pressure = np.array(np.atleast_1d(p))
conditions.propulsion.throttle = np.array(np.atleast_1d(1.))
results = vehicle.propulsors.evaluate_thrust(state) # total thrust
thrust = results.thrust_force_vector
# ==============================================
# Calculate takeoff distance
# ==============================================
# Defining takeoff distance equations coefficients
try:
takeoff_constants = vehicle.takeoff_constants # user defined
except: # default values
takeoff_constants = np.zeros(3)
if engine_number == 2:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
elif engine_number == 3:
takeoff_constants[0] = 667.9
takeoff_constants[1] = 2.343
takeoff_constants[2] = 0.000093
elif engine_number == 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
elif engine_number > 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
print 'The vehicle has more than 4 engines. Using 4 engine correlation. Result may not be correct.'
else:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
print 'Incorrect number of engines: {0:.1f}. Using twin engine correlation.'.format(engine_number)
# Define takeoff index (V2^2 / (T/W)
takeoff_index = V2_speed**2. / (thrust[0][0] / weight)
# Calculating takeoff field length
takeoff_field_length = 0.
for idx,constant in enumerate(takeoff_constants):
takeoff_field_length += constant * takeoff_index**idx
p
takeoff_field_length = takeoff_field_length * Units.ft
# return
return takeoff_field_length
def estimate_2ndseg_lift_drag_ratio(config):
""" SUAVE.Methods.Aerodynamics.Drag.Correlations.estimate_2ndseg_lift_drag_ratio(config):
Estimates the 2nd segment Lift to drag ration (all engine operating)
Inputs:
config - data dictionary with fields:
reference_area - Airplane reference area
V2_VS_ratio - Ratio between V2 and Stall speed
[optional. Default value = 1.20]
Main_Wing.aspect_ratio - Main_Wing aspect ratio
maximum_lift_coefficient - Maximum lift coefficient for the config
[Calculated if not informed]
Outputs:
takeoff_field_length - Takeoff field length
Assumptions:
All engines Operating. Must be corrected for second segment climb configuration
reference: Fig. 27.34 of "Aerodynamic Design of Transport Airplane" - Obert
"""
# ==============================================
# Unpack
# ==============================================
try:
V2_VS_ratio = config.V2_VS_ratio
except:
V2_VS_ratio = 1.20 # typical condition
# getting geometrical data (aspect ratio)
n_wing = 0
for wing in config.wings:
if not isinstance(wing,Wings.Main_Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span ** 2 / reference_area
n_wing += 1
if n_wing > 1:
print ' More than one Main_Wing in the config. Last one will be considered.'
elif n_wing == 0:
print 'No Main_Wing defined! Using the 1st wing found'
for wing in config.wings:
if not isinstance(wing,Wings.Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span ** 2 / reference_area
break
# Determining vehicle maximum lift coefficient
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = config.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = Data()
conditions.freestream = Data()
conditions.freestream.density = 0.90477283
conditions.freestream.dynamic_viscosity = 1.69220918e-05
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(config,conditions)
config.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# Compute CL in V2
lift_coeff = maximum_lift_coefficient / (V2_VS_ratio ** 2)
# Estimate L/D in 2nd segment condition, ALL ENGINES OPERATIVE!
lift_drag_ratio = -6.464 * lift_coeff + 7.264 * aspect_ratio ** 0.5
return lift_drag_ratio
def estimate_take_off_field_length(vehicle, analyses, airport):
""" SUAVE.Methods.Performance.estimate_take_off_field_length(vehicle,airport):
Computes the takeoff field length for a given vehicle condition in a given airport
Inputs:
vehicle - SUAVE type vehicle
includes these fields:
Mass_Properties.takeoff - Takeoff weight to be evaluated
S - Wing Area
V2_VS_ratio - Ratio between V2 and Stall speed
[optional. Default value = 1.20]
takeoff_constants - Coefficients for takeoff field length equation
[optional. Default values: AA241 method]
maximum_lift_coefficient - Maximum lift coefficient for the config
[optional. Calculated if not informed]
airport - SUAVE type airport data, with followig fields:
atmosphere - Airport atmosphere (SUAVE type)
altitude - Airport altitude
delta_isa - ISA Temperature deviation
Outputs:
takeoff_field_length - Takeoff field length
Assumptions:
Correlation based.
"""
# ==============================================
# Unpack
# ==============================================
atmo = airport.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.takeoff
reference_area = vehicle.reference_area
try:
V2_VS_ratio = vehicle.V2_VS_ratio
except:
V2_VS_ratio = 1.20
# ==============================================
# Computing atmospheric conditions
# ==============================================
conditions0 = atmo.compute_values(0.)
atmo_values = atmo.compute_values(altitude)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
p0 = conditions0.pressure
T0 = conditions0.temperature
rho0 = conditions0.density
a0 = conditions0.speed_of_sound
mu0 = conditions0.dynamic_viscosity
T_delta_ISA = T + delta_isa
sigma_disa = (p / p0) / (T_delta_ISA / T0)
rho = rho0 * sigma_disa
a_delta_ISA = atmo.fluid_properties.compute_speed_of_sound(T_delta_ISA)
mu = 1.78938028e-05 * ((T0 + 120) / T0**1.5) * ((T_delta_ISA**1.5) /
(T_delta_ISA + 120))
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
# Condition to CLmax calculation: 90KTAS @ 10000ft, ISA
conditions = atmo.compute_values(10000. * Units.ft)
conditions.freestream = Data()
conditions.freestream.density = conditions.density
conditions.freestream.dynamic_viscosity = conditions.dynamic_viscosity
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(
vehicle, conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError, "Maximum lift coefficient calculation error. Please, check inputs"
# ==============================================
# Computing speeds (Vs, V2, 0.7*V2)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity /
(rho * reference_area * maximum_lift_coefficient))**0.5
V2_speed = V2_VS_ratio * stall_speed
speed_for_thrust = 0.70 * V2_speed
# ==============================================
# Determining vehicle number of engines
# ==============================================
engine_number = 0.
for propulsor in vehicle.propulsors: # may have than one propulsor
engine_number += propulsor.number_of_engines
if engine_number == 0:
raise ValueError, "No engine found in the vehicle"
# ==============================================
# Getting engine thrust
# ==============================================
state = Data()
state.conditions = conditions
state.numerics = Data()
conditions.freestream = Data()
conditions.propulsion = Data()
conditions.freestream.dynamic_pressure = np.array(
np.atleast_1d(0.5 * rho * speed_for_thrust**2))
conditions.freestream.gravity = np.array(
[np.atleast_1d(sea_level_gravity)])
conditions.freestream.velocity = np.array(np.atleast_1d(speed_for_thrust))
conditions.freestream.mach_number = np.array(
np.atleast_1d(speed_for_thrust / a_delta_ISA))
conditions.freestream.temperature = np.array(np.atleast_1d(T_delta_ISA))
conditions.freestream.pressure = np.array(np.atleast_1d(p))
conditions.propulsion.throttle = np.array(np.atleast_1d(1.))
results = vehicle.propulsors.evaluate_thrust(state) # total thrust
thrust = results.thrust_force_vector
# ==============================================
# Calculate takeoff distance
# ==============================================
# Defining takeoff distance equations coefficients
try:
takeoff_constants = vehicle.takeoff_constants # user defined
except: # default values
takeoff_constants = np.zeros(3)
if engine_number == 2:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
elif engine_number == 3:
takeoff_constants[0] = 667.9
takeoff_constants[1] = 2.343
takeoff_constants[2] = 0.000093
elif engine_number == 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
elif engine_number > 4:
takeoff_constants[0] = 486.7
takeoff_constants[1] = 2.282
takeoff_constants[2] = 0.0000705
print 'The vehicle has more than 4 engines. Using 4 engine correlation. Result may not be correct.'
else:
takeoff_constants[0] = 857.4
takeoff_constants[1] = 2.476
takeoff_constants[2] = 0.00014
print 'Incorrect number of engines: {0:.1f}. Using twin engine correlation.'.format(
engine_number)
# Define takeoff index (V2^2 / (T/W)
takeoff_index = V2_speed**2. / (thrust[0][0] / weight)
# Calculating takeoff field length
takeoff_field_length = 0.
for idx, constant in enumerate(takeoff_constants):
takeoff_field_length += constant * takeoff_index**idx
p
takeoff_field_length = takeoff_field_length * Units.ft
# return
return takeoff_field_length
def V_n_diagram(vehicle, analyses, weight, altitude, delta_ISA):
""" Computes a V-n diagram for a given aircraft and given regulations for ISA conditions
Source:
S. Gudmundsson "General Aviation Aircraft Design: Applied Methods and Procedures", Butterworth-Heinemann; 1 edition
CFR FAR Part 23: https://www.ecfr.gov/cgi-bin/text-idx?SID=0e6a13c7c1de7f501d0eb0a4d71418bd&mc=true&tpl=/ecfrbrowse/Title14/14cfr23_main_02.tpl
CFR FAR Part 25: https://www.ecfr.gov/cgi-bin/text-idx?tpl=/ecfrbrowse/Title14/14cfr25_main_02.tpl
Inputs:
analyses.base.atmosphere [SUAVE data type]
vehicle.
reference_area [m^2]
maximum_lift_coefficient [Unitless]
minimum_lift_coefficient [Unitless]
chords.mean_aerodynamic [m]
envelope.FARpart_number [Unitless]
limit_loads.positive [Unitless]
limit_loads.negative [Unitless]
cruise_mach [Unitless]
weight [kg]
altitude [m]
delta_ISA [deg C]
Outputs:
V_n_data
Properties Used:
N/A
Description:
The script creates an aircraft V-n diagram based on the input parameters specified by the user.
Depending on the certification flag, an appropriate diagram, output and log files are created.
"""
#------------------------
# Create a log - file
#------------------------
flog = open("V_n_diagram_" + vehicle.tag + ".log", "w")
print('Running the V-n diagram calculation...')
flog.write('Running the V-n diagram calculation...\n')
flog.write('Aircraft: ' + vehicle.tag + '\n')
flog.write('Category: ' + vehicle.envelope.category + '\n')
flog.write('FAR certification: Part ' +
str(vehicle.envelope.FAR_part_number) + '\n\n')
# ----------------------------------------------
# Unpack
# ----------------------------------------------
flog.write('Unpacking the input and calculating required inputs...\n')
FAR_part_number = vehicle.envelope.FAR_part_number
atmo = analyses.atmosphere
Mc = vehicle.envelope.cruise_mach
for wing in vehicle.wings:
reference_area = vehicle.reference_area
Cmac = wing.chords.mean_aerodynamic
for envelope in vehicle:
pos_limit_load = vehicle.envelope.limit_loads.positive
neg_limit_load = vehicle.envelope.limit_loads.negative
category_tag = vehicle.envelope.category
# ----------------------------------------------
# Computing atmospheric conditions
# ----------------------------------------------
atmo_values = atmo.compute_values(altitude, delta_ISA)
SL_atmo_values = atmo.compute_values(0, delta_ISA)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
rho = atmo_values.density
sea_level_rho = SL_atmo_values.density
sea_level_gravity = atmo.planet.sea_level_gravity
Vc = Mc * (1.4 * 287 * atmo_values.temperature)**0.5
# ------------------------------
# Computing lift-curve slope
# ------------------------------
CLa = datcom(vehicle.wings.main_wing, np.array([Mc]))
CLa = CLa[0]
# -----------------------------------------------------------
# Determining vehicle minimum and maximum lift coefficients
# -----------------------------------------------------------
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Condition to CLmax calculation: 0.333 * Vc @ specified altitude, ISA
conditions.freestream = Data()
conditions.freestream.density = atmo_values.density
conditions.freestream.dynamic_viscosity = atmo_values.dynamic_viscosity
conditions.freestream.velocity = 0.333 * Vc
try:
max_lift_coefficient, induced_drag_high_lift \
= compute_max_lift_coeff(vehicle,conditions)
maximum_lift_coefficient = max_lift_coefficient[0][0]
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError(
"Maximum lift coefficient calculation error. Please, check inputs"
)
try: # aircraft minimum lift informed by user
minimum_lift_coefficient = vehicle.minimum_lift_coefficient
except:
raise ValueError(
"The value not found. Specify minimum lift coefficient")
# -----------------------------------------------------------------------------
# Convert all terms to English (Used for FAR) and remove elements from arrays
# -----------------------------------------------------------------------------
altitude = altitude / Units.ft
rho = rho[0, 0] / Units['slug/ft**3']
sea_level_rho = sea_level_rho[0, 0] / Units['slug/ft**3']
density_ratio = (rho / sea_level_rho)**0.5
sea_level_gravity = sea_level_gravity / Units['ft/s**2']
weight = weight / Units['slug'] * sea_level_gravity
reference_area = reference_area / Units['ft**2']
Cmac = Cmac / Units.ft
wing_loading = weight / reference_area
Vc = Vc / Units['ft/s']
load_factors_pos = np.zeros(shape=(5))
load_factors_neg = np.zeros(shape=(5))
load_factors_pos[1] = 1
load_factors_neg[1] = -1
airspeeds_pos = np.zeros(shape=(5))
airspeeds_neg = np.zeros(shape=(5))
# --------------------------------------------------
# Establish limit maneuver load factors n+ and n-
# --------------------------------------------------
flog.write('Establish limit maneuver load factors n+ and n-...\n')
# CFR Part 25
# Positive and negative limits
if FAR_part_number == 25:
# Positive limit
flog.write(' Estimating n+...\n')
load_factors_pos[2] = 2.1 + 24000 / (weight + 10000)
if load_factors_pos[2] < 2.5:
flog.write(
' Defined positive limit load factor < 2.5. Setting 2.5...\n'
)
load_factors_pos[2] = 2.5
elif load_factors_pos[2] < pos_limit_load:
load_factors_pos[2] = pos_limit_load
elif load_factors_pos[2] > 3.8:
flog.write(
' Defined positive limit load factor > 3.8. Setting 3.8...\n'
)
load_factors_pos[2] = 3.8
# Negative limit
flog.write(' Estimating n-...\n')
load_factors_neg[2] = neg_limit_load
if load_factors_neg[2] > -1:
flog.write(
' Negative limit load factor magnitude is too small. Setting to -1...\n'
)
load_factors_neg[2] = -1
elif FAR_part_number == 23:
if category_tag == 'normal' or category_tag == 'commuter':
# Positive limit
flog.write(' Estimating n+...\n')
load_factors_pos[2] = 2.1 + 24000 / (weight + 10000)
if load_factors_pos[2] < 2.5:
flog.write(
' Defined positive limit load factor < 2.5. Setting 2.5...\n'
)
load_factors_pos[2] = 2.5
elif load_factors_pos[2] < pos_limit_load:
load_factors_pos[2] = pos_limit_load
elif load_factors_pos[2] > 3.8:
flog.write(
' Defined positive limit load factor > 3.8. Setting 3.8...\n'
)
load_factors_pos[2] = 3.8
# Negative limit
flog.write(' Estimating n-...\n')
load_factors_neg[2] = -0.4 * load_factors_pos[2]
elif category_tag == 'utility':
# Positive limit
flog.write(' Estimating n+...\n')
load_factors_pos[2] = pos_limit_load
if load_factors_pos[2] < 4.4:
flog.write(
' Defined positive limit load factor < 4.4. Setting 4.4...\n'
)
load_factors_pos[2] = 4.4
# Negative limit
flog.write(' Estimating n-...\n')
load_factors_neg[2] = -0.4 * load_factors_pos[2]
elif category_tag == 'acrobatic':
# Positive limit
load_factors_pos[2] = pos_limit_load
if load_factors_pos[2] < 6.0:
flog.write(
' Defined positive limit load factor < 6.0. Setting 6.0...\n'
)
load_factors_pos[2] = 6.0
# Negative limit
load_factors_neg[2] = -0.5 * load_factors_pos[2]
else:
raise ValueError(
"Check the category_tag input. The parameter was not found")
else:
raise ValueError(
"Check the FARflag input. The parameter was not found")
# Check input of the limit load
if abs(neg_limit_load) > abs(load_factors_neg[2]):
load_factors_neg[2] = neg_limit_load
#----------------------------------------
# Generate a V-n diagram data structure
#----------------------------------------
V_n_data = Data()
V_n_data.limit_loads = Data()
V_n_data.limit_loads.dive = Data()
V_n_data.load_factors = Data()
V_n_data.gust_load_factors = Data()
V_n_data.Vb_load_factor = Data()
V_n_data.airspeeds = Data()
V_n_data.Vs1 = Data()
V_n_data.Va = Data()
V_n_data.Vb = Data()
V_n_data.load_factors.positive = load_factors_pos
V_n_data.load_factors.negative = load_factors_neg
V_n_data.airspeeds.positive = airspeeds_pos
V_n_data.airspeeds.negative = airspeeds_neg
V_n_data.Vc = Vc
V_n_data.weight = weight
V_n_data.wing_loading = wing_loading
V_n_data.altitude = altitude
V_n_data.density = rho
V_n_data.density_ratio = density_ratio
V_n_data.reference_area = reference_area
V_n_data.maximum_lift_coefficient = maximum_lift_coefficient
V_n_data.minimum_lift_coefficient = minimum_lift_coefficient
V_n_data.limit_loads.positive = load_factors_pos[2]
V_n_data.limit_loads.negative = load_factors_neg[2]
# --------------------------------------------------
# Computing critical speeds (Va, Vc, Vb, Vd, Vs1)
# --------------------------------------------------
flog.write('Computing critical speeds (Va, Vc, Vb, Vd, Vs1)...\n')
# Calculate Stall and Maneuver speeds
flog.write(' Computing Vs1 and Va...\n')
stall_maneuver_speeds(V_n_data)
# convert speeds to KEAS for future calculations
convert_keas(V_n_data)
# unpack modified airspeeds
airspeeds_pos = V_n_data.airspeeds.positive
airspeeds_neg = V_n_data.airspeeds.negative
Vc = V_n_data.Vc
Va_pos = V_n_data.Va.positive
Va_neg = V_n_data.Va.negative
Va_pos = V_n_data.Va.positive
Va_neg = V_n_data.Va.negative
flog.write(' Checking Vc wrt Va...\n')
if Va_neg > Vc and Va_neg > Va_pos:
flog.write(' Negative Va > Vc. Setting Vc = 1.15 * Va...\n')
Vc = 1.15 * Va_neg
elif Va_pos > Vc and Va_neg < Va_pos:
flog.write(' Positive Va > Vc. Setting Vc = 1.15 * Va...\n')
Vc = 1.15 * Va_pos
# Gust speeds between Vb and Vc (EAS) and minimum Vc
miu = 2 * wing_loading / (rho * Cmac * CLa * sea_level_gravity)
Kg = 0.88 * miu / (5.3 + miu)
if FAR_part_number == 25:
if altitude < 15000:
Uref_cruise = (-0.0008 * altitude + 56)
Uref_rough = Uref_cruise
Uref_dive = 0.5 * Uref_cruise
else:
Uref_cruise = (-0.0005142 * altitude + 51.7133)
Uref_rough = Uref_cruise
Uref_dive = 0.5 * Uref_cruise
# Minimum Cruise speed Vc_min
coefs = [
1, -Uref_cruise * (2.64 + (Kg * CLa * airspeeds_pos[1]**2) /
(498 * wing_loading)),
1.72424 * Uref_cruise**2 - airspeeds_pos[1]**2
]
Vc1 = max(np.roots(coefs))
elif FAR_part_number == 23:
if altitude < 20000:
Uref_cruise = 50
Uref_dive = 25
else:
Uref_cruise = (-0.0008333 * altitude + 66.67)
Uref_dive = (-0.0004167 * altitude + 33.334)
if category_tag == 'commuter':
if altitude < 20000:
Uref_rough = 66
else:
Uref_rough = -0.000933 * altitude + 84.667
else:
Uref_rough = Uref_cruise
# Minimum Cruise speed Vc_min
if category_tag == 'acrobatic':
Vc1 = 36 * wing_loading**0.5
if wing_loading >= 20:
Vc1 = (-0.0925 * wing_loading + 37.85) * wing_loading**0.5
else:
Vc1 = 33 * wing_loading**0.5
if wing_loading >= 20:
Vc1 = (-0.055 * wing_loading + 34.1) * wing_loading**0.5
# checking input Cruise speed
flog.write(' Checking Vc wrt Vcmin... \n')
if Vc1 > Vc:
flog.write(
' Specified cruise speed is less than the minimum required. Setting th minimum required value...\n'
)
Vc = Vc1
# Dive speed
flog.write(' Computing Vd...\n')
if FAR_part_number == 25:
airspeeds_pos[4] = 1.25 * Vc
elif FAR_part_number == 23:
if category_tag == 'acrobatic':
airspeeds_pos[4] = 1.55 * Vc1
if wing_loading > 20:
airspeeds_pos[4] = (-0.0025 * wing_loading + 1.6) * Vc1
elif category_tag == 'utility':
airspeeds_pos[4] = 1.5 * Vc1
if wing_loading > 20:
airspeeds_pos[4] = (-0.001875 * wing_loading + 1.5375) * Vc1
else:
airspeeds_pos[4] = 1.4 * Vc1
if wing_loading > 20:
airspeeds_pos[4] = (-0.000625 * wing_loading + 1.4125) * Vc1
if airspeeds_pos[4] < 1.15 * Vc:
flog.write(
' Based on min Vc, Vd is too close Vc. Setting Vd = 1.15 Vc...\n'
)
airspeeds_pos[4] = 1.15 * Vc
Vd = airspeeds_pos[4]
airspeeds_pos[3] = airspeeds_pos[4]
airspeeds_neg[3] = Vc
airspeeds_neg[4] = airspeeds_pos[4]
# complete initial load factors
load_factors_pos[4] = 0
load_factors_neg[4] = 0
if category_tag == 'acrobatic' or category_tag == 'utility':
load_factors_neg[4] = -1
load_factors_pos[3] = load_factors_pos[2]
load_factors_neg[3] = load_factors_neg[2]
# add parameters to the data structure
V_n_data.load_factors.positive = load_factors_pos
V_n_data.load_factors.negative = load_factors_neg
V_n_data.airspeeds.positive = airspeeds_pos
V_n_data.airspeeds.negative = airspeeds_neg
V_n_data.Vd = Vd
V_n_data.Vc = Vc
#------------------------
# Create Stall lines
#------------------------
flog.write('Creating stall lines...\n')
Num_of_points = 20 # number of points for the stall line
upper_bound = 2
lower_bound = 1
stall_line(V_n_data, upper_bound, lower_bound, Num_of_points, 1)
stall_line(V_n_data, upper_bound, lower_bound, Num_of_points, 2)
# ----------------------------------------------
# Determine Gust loads
# ----------------------------------------------
flog.write('Calculating gust loads...\n')
V_n_data.gust_data = Data()
V_n_data.gust_data.airspeeds = Data()
V_n_data.gust_data.airspeeds.rough_gust = Uref_rough
V_n_data.gust_data.airspeeds.cruise_gust = Uref_cruise
V_n_data.gust_data.airspeeds.dive_gust = Uref_dive
gust_loads(category_tag, V_n_data, Kg, CLa, Num_of_points, FAR_part_number,
1)
gust_loads(category_tag, V_n_data, Kg, CLa, Num_of_points, FAR_part_number,
2)
#----------------------------------------------------------------
# Finalize the load factors for acrobatic and utility aircraft
#----------------------------------------------------------------
if category_tag == 'acrobatic' or category_tag == 'utility':
V_n_data.airspeeds.negative = np.append(V_n_data.airspeeds.negative,
Vd)
V_n_data.load_factors.negative = np.append(
V_n_data.load_factors.negative, 0)
# ----------------------------------------------
# Post-processing the V-n diagram
# ----------------------------------------------
flog.write('Post-Processing...\n')
V_n_data.limit_loads.positive = max(V_n_data.load_factors.positive)
V_n_data.limit_loads.negative = min(V_n_data.load_factors.negative)
post_processing(category_tag, Uref_rough, Uref_cruise, Uref_dive, V_n_data,
vehicle)
print('Calculation complete...')
flog.write('Calculation complete\n')
flog.close()
return V_n_data
def estimate_2ndseg_lift_drag_ratio(state, settings, geometry):
"""Estimates the 2nd segment climb lift to drag ratio (all engine operating)
Assumptions:
All engines operating
Source:
Fig. 27.34 of "Aerodynamic Design of Transport Airplane" - Obert
Inputs:
config.
V2_VS_ratio [Unitless]
wings.
areas.reference [m^2]
spans.projected [m]
aspect_ratio [Unitless]
maximum_lift_coefficient [Unitless]
Outputs:
lift_drag_ratio [Unitless]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
try:
V2_VS_ratio = geometry.V2_VS_ratio
except:
V2_VS_ratio = 1.20 # typical condition
# getting geometrical data (aspect ratio)
n_wing = 0
for wing in geometry.wings:
if not isinstance(wing, Wings.Main_Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span**2 / reference_area
n_wing += 1
if n_wing > 1:
print(
' More than one Main_Wing in the config. Last one will be considered.'
)
elif n_wing == 0:
print('No Main_Wing defined! Using the 1st wing found')
for wing in geometry.wings:
if not isinstance(wing, Wings.Wing): continue
reference_area = wing.areas.reference
wing_span = wing.spans.projected
try:
aspect_ratio = wing.aspect_ratio
except:
aspect_ratio = wing_span**2 / reference_area
break
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(
state, settings, geometry)
# Compute CL in V2
lift_coeff = maximum_lift_coefficient / (V2_VS_ratio**2)
# Estimate L/D in 2nd segment condition, ALL ENGINES OPERATIVE!
lift_drag_ratio = -6.464 * lift_coeff + 7.264 * aspect_ratio**0.5
return lift_drag_ratio
def estimate_landing_field_length(vehicle,analyses,airport):
""" Computes the landing field length for a given vehicle configuration in a given airport.
Assumptions:
See source
Two wheel trucks (code needed for four wheel trucks also included)
Source:
Torenbeek, E., "Advanced Aircraft Design", 2013 (equation 9.25)
Inputs:
airport.
atmosphere [SUAVE data type]
altitude [m]
delta_isa [K]
vehicle.
mass_properties.landing [kg]
reference_area [m^2]
maximum_lift_coefficient (optional) [Unitless]
Outputs:
landing_field_length [m]
Properties Used:
N/A
"""
# ==============================================
# Unpack
# ==============================================
atmo = airport.atmosphere
altitude = airport.altitude * Units.ft
delta_isa = airport.delta_isa
weight = vehicle.mass_properties.landing
reference_area = vehicle.reference_area
try:
Vref_VS_ratio = config.Vref_VS_ratio
except:
Vref_VS_ratio = 1.23
# ==============================================
# Computing atmospheric conditions
# ==============================================
atmo_values = atmo.compute_values(altitude,delta_isa)
conditions = SUAVE.Analyses.Mission.Segments.Conditions.Aerodynamics()
p = atmo_values.pressure
T = atmo_values.temperature
rho = atmo_values.density
a = atmo_values.speed_of_sound
mu = atmo_values.dynamic_viscosity
sea_level_gravity = atmo.planet.sea_level_gravity
# ==============================================
# Determining vehicle maximum lift coefficient
# ==============================================
try: # aircraft maximum lift informed by user
maximum_lift_coefficient = vehicle.maximum_lift_coefficient
except:
# Using semi-empirical method for maximum lift coefficient calculation
from SUAVE.Methods.Aerodynamics.Fidelity_Zero.Lift import compute_max_lift_coeff
conditions.freestream = Data()
conditions.freestream.density = rho
conditions.freestream.dynamic_viscosity = mu
conditions.freestream.velocity = 90. * Units.knots
try:
maximum_lift_coefficient, induced_drag_high_lift = compute_max_lift_coeff(vehicle,conditions)
vehicle.maximum_lift_coefficient = maximum_lift_coefficient
except:
raise ValueError("Maximum lift coefficient calculation error. Please, check inputs")
# ==============================================
# Computing speeds (Vs, Vref)
# ==============================================
stall_speed = (2 * weight * sea_level_gravity / (rho * reference_area * maximum_lift_coefficient)) ** 0.5
Vref = stall_speed * Vref_VS_ratio
# ========================================================================================
# Computing landing distance, according to Torenbeek equation
# Landing Field Length = k1 + k2 * Vref**2
# ========================================================================================
# Defining landing distance equation coefficients
try:
landing_constants = config.landing_constants # user defined
except: # default values - According to Torenbeek book
landing_constants = np.zeros(3)
landing_constants[0] = 250.
landing_constants[1] = 0.
landing_constants[2] = 2.485 / sea_level_gravity # Two-wheels truck : [ (1.56 / 0.40 + 1.07) / (2*sea_level_gravity) ]
## landing_constants[2] = 2.9725 / sea_level_gravity # Four-wheels truck: [ (1.56 / 0.32 + 1.07) / (2*sea_level_gravity) ]
# Calculating landing field length
landing_field_length = 0.
for idx,constant in enumerate(landing_constants):
landing_field_length += constant * Vref**idx
# return
return landing_field_length
