from dtk import bicycle
# local dependencies
try:
f = open('Whipple.py', 'r')
except IOError:
from altk import alparse
alparse.alparse('Whipple', 'Whipple', code='Python')
else:
f.close()
del f
from Whipple import Whipple
# create the Whipple model (with my parameters)
whip = Whipple()
# load the benchmark parameters
pathToData='/media/Data/Documents/School/UC Davis/Bicycle Mechanics/BicycleParameters/data/'
benchmark = bp.Bicycle('Benchmark', pathToData)
benchmarkPar = bp.io.remove_uncertainties(benchmark.parameters['Benchmark'])
# convert to my parameter set
moorePar = bicycle.benchmark_to_moore(benchmarkPar, oldMassCenter=False)
# set the parameters
whip.parameters = moorePar
# set the initial conditions to match Meijaard2007
speedNaught = 4.6
rollRateNaught = 0.5
pitchAngle = bicycle.pitch_from_roll_and_steer(0., 0., moorePar['rf'],
moorePar['rr'], moorePar['d1'], moorePar['d2'], moorePar['d3'])
from dtk import bicycle
# local dependencies
try:
f = open('Whipple.py', 'r')
except IOError:
from altk import alparse
alparse.alparse('Whipple', 'Whipple', code='Python')
else:
f.close()
del f
from Whipple import Whipple
# create the Whipple model object
whip = Whipple()
# load the benchmark parameters
pathToData='/media/Data/Documents/School/UC Davis/Bicycle Mechanics/BicycleParameters/data/'
benchmark = bp.Bicycle('Benchmark', pathToData)
benchmarkPar = bp.io.remove_uncertainties(benchmark.parameters['Benchmark'])
# convert to my parameter set
moorePar = bicycle.benchmark_to_moore(benchmarkPar, oldMassCenter=False)
# set the parameters
whip.parameters = moorePar
whip.constants() # make sure the constants are recalculated with the new parameters
# load the input values specified in table one of Basu-Mandal2007
basuInput = bicycle.basu_table_one_input()
from dtk import bicycle
# local dependencies
try:
f = open('Whipple.py', 'r')
except IOError:
from altk import alparse
alparse.alparse('Whipple', 'Whipple', code='Python')
else:
f.close()
del f
from Whipple import Whipple
# create the Whipple model object
whip = Whipple()
# load the benchmark parameters
pathToData = '/media/Data/Documents/School/UC Davis/Bicycle Mechanics/BicycleParameters/data/'
benchmark = bp.Bicycle('Benchmark', pathToData)
benchmarkPar = bp.io.remove_uncertainties(benchmark.parameters['Benchmark'])
# convert to my parameter set
moorePar = bicycle.benchmark_to_moore(benchmarkPar, oldMassCenter=False)
# set the parameters
whip.parameters = moorePar
whip.constants(
) # make sure the constants are recalculated with the new parameters
# load the input values specified in table one of Basu-Mandal2007
