def __init__(self, block: Block, u_av: Tuple[float, float,
float], num_modes,
re_uu: float, re_vv: float, re_ww: float, ts_i: float,
k_arr: np.ndarray, energy: np.ndarray, time_arr: np.ndarray):
self.num_modes = num_modes
assert num_modes == k_arr.shape[0] == energy.shape[0]
self.c_data = STG_SpectralData()
Generator.__init__(self,
block=block,
u_av=u_av,
re_uu=re_uu,
re_vv=re_vv,
re_ww=re_ww,
re_uv=0,
re_uw=0,
re_vw=0,
ls_i=0,
ls_ux=0,
ls_uy=0,
ls_uz=0,
ls_vx=0,
ls_vy=0,
ls_vz=0,
ls_wx=0,
ls_wy=0,
ls_wz=0,
ts_i=ts_i,
ts_u=0,
ts_v=0,
ts_w=0,
k_arr=k_arr,
energy=energy,
time_arr=time_arr)
def __init__(self, block: Block, u_av: Tuple[float, float, float],
re_uu: float, re_vv: float, re_ww: float, re_uv: float,
re_uw: float, re_vw: float, time_arr: np.ndarray):
Generator.__init__(self,
block=block,
u_av=u_av,
re_uu=re_uu,
re_vv=re_vv,
re_ww=re_ww,
re_uv=re_uv,
re_uw=re_uw,
re_vw=re_vw,
ls_i=0.,
ls_ux=0.,
ls_uy=0,
ls_uz=0,
ls_vx=0.,
ls_vy=0,
ls_vz=0,
ls_wx=0.,
ls_wy=0,
ls_wz=0,
ts_i=0,
ts_u=0,
ts_v=0,
ts_w=0,
k_arr=np.zeros(5),
energy=np.zeros(5),
time_arr=time_arr)
def __init__(
self,
block: Block,
u_av: Tuple[float, float, float],
tau_t: float,
l_t: float,
dissip_rate: float,
viscosity: float,
k_t: float,
num_modes: int,
re_xx: float,
re_yy: float,
re_zz: float,
re_xy: float,
re_xz: float,
re_yz: float,
time_arr: np.ndarray,
):
self.tau_t = tau_t
self.l_t = l_t
self.k_t = k_t
assert k_t == (re_xx + re_yy + re_zz) / 2, 'The value of the kinetic energy of turbulence is not ' \
'consistent with the values of Reynolds stresses.'
self.dissip_rate = dissip_rate
self.viscosity = viscosity
self.num_modes = num_modes
self._time_step_field: float = None
self._time_step_puls: float = None
self.a_field: float = None
self.a_puls: float = None
self.b_field: float = None
self.b_puls: float = None
self.phi_field: List[np.ndarray] = []
self.psi_field: List[np.ndarray] = []
self.alpha_field: List[np.ndarray] = []
self.theta_field: List[np.ndarray] = []
self.k1_field: List[np.ndarray] = []
self.k2_field: List[np.ndarray] = []
self.k3_field: List[np.ndarray] = []
self.sigma1_field: List[np.ndarray] = []
self.sigma2_field: List[np.ndarray] = []
self.sigma3_field: List[np.ndarray] = []
self.phi_puls: List[np.ndarray] = []
self.psi_puls: List[np.ndarray] = []
self.alpha_puls: List[np.ndarray] = []
self.theta_puls: List[np.ndarray] = []
self.k1_puls: List[np.ndarray] = []
self.k2_puls: List[np.ndarray] = []
self.k3_puls: List[np.ndarray] = []
self.sigma1_puls: List[np.ndarray] = []
self.sigma2_puls: List[np.ndarray] = []
self.sigma3_puls: List[np.ndarray] = []
Generator.__init__(self, block, u_av, re_xx, re_yy, re_zz, re_xy,
re_xz, re_yz, time_arr)
def __init__(
self,
block: Block,
u_av: Tuple[float, float, float],
ts_i: float,
ls_i: float,
dissip_rate: float,
visc: float,
num_modes: int,
re_uu: float,
re_vv: float,
re_ww: float,
re_uv: float,
re_uw: float,
re_vw: float,
time_arr: np.ndarray,
):
self.ts_i = ts_i
self.ls_i = ls_i
self.dissip_rate = dissip_rate
self.visc = visc
self.num_modes = num_modes
self.c_stat_data = STG_DavidsonData_Stationary()
self.c_trans_data = STG_DavidsonData_Transient()
Generator.__init__(
self,
block,
u_av,
re_uu,
re_vv,
re_ww,
re_uv,
re_uw,
re_vw,
ls_i=ls_i,
ls_ux=0,
ls_uy=0,
ls_uz=0,
ls_vx=0,
ls_vy=0,
ls_vz=0,
ls_wx=0,
ls_wy=0,
ls_wz=0,
ts_i=ts_i,
ts_u=0,
ts_v=0,
ts_w=0,
time_arr=time_arr,
k_arr=np.zeros(5),
energy=np.zeros(5),
)
def __init__(
self,
block: Block,
u_av: Tuple[float, float, float],
ls_i: float,
ts_i: float,
re_uu: float,
re_vv: float,
re_ww: float,
re_uv: float,
re_uw: float,
re_vw: float,
time_arr: np.ndarray,
num_modes: int = 100,
):
self.ts_i = ts_i
self.ls_i = ls_i
self.mode_num = num_modes
self.c_data = STG_SmirnovData()
Generator.__init__(self,
block,
u_av,
re_uu,
re_vv,
re_ww,
re_uv,
re_uw,
re_vw,
ls_i=ls_i,
ls_ux=0,
ls_uy=0,
ls_uz=0,
ls_vx=0,
ls_vy=0,
ls_vz=0,
ls_wx=0,
ls_wy=0,
ls_wz=0,
ts_i=ts_i,
ts_u=0,
ts_v=0,
ts_w=0,
k_arr=np.zeros(5),
energy=np.zeros(5),
time_arr=time_arr)
def __init__(
self,
block: Block,
u_av: Tuple[float, float, float],
l_t: float,
tau_t: float,
re_xx: float,
re_yy: float,
re_zz: float,
re_xy: float,
re_xz: float,
re_yz: float,
time_arr: np.ndarray,
mode_num: int = 100,
):
self.tau_t = tau_t
self.l_t = l_t
self.mode_num = mode_num
Generator.__init__(self, block, u_av, re_xx, re_yy, re_zz, re_xy,
re_xz, re_yz, time_arr)
def __init__(
self,
block: Block,
u_av: Tuple[float, float, float],
sigma: float,
eddy_num: int,
re_xx: float,
re_yy: float,
re_zz: float,
re_xy: float,
re_xz: float,
re_yz: float,
time_arr: np.ndarray,
):
self.sigma = sigma
self.eddy_num = eddy_num
self.eddy_positions_field: np.ndarray = []
self.eddy_positions_puls: np.ndarray = []
Generator.__init__(self, block, u_av, re_xx, re_yy, re_zz, re_xy,
re_xz, re_yz, time_arr)
def __init__(self, block: Block, u_e: Tuple[float, float, float],
eddies_num: int, ls_ux: float, ls_uy: float, ls_uz: float,
ls_vx: float, ls_vy: float, ls_vz: float, ls_wx: float,
ls_wy: float, ls_wz: float, re_uu: float, re_vv: float,
re_ww: float, re_uv: float, re_uw: float, re_vw: float,
time_arr: np.ndarray):
self.eddies_num = eddies_num
self.u_e = u_e
self.c_stat_data = STG_SEMData_Stationary()
self.c_trans_data = STG_SEMData_Transient()
ls_i = (ls_ux + ls_uy + ls_uz + ls_vx + ls_vy + ls_vz + ls_wx + ls_wy +
ls_wz) / 9
Generator.__init__(
self,
block,
u_e,
re_uu,
re_vv,
re_ww,
re_uv,
re_uw,
re_vw,
ls_i=ls_i,
ls_ux=ls_ux,
ls_uy=ls_uy,
ls_uz=ls_uz,
ls_vx=ls_vx,
ls_vy=ls_vy,
ls_vz=ls_vz,
ls_wx=ls_wx,
ls_wy=ls_wy,
ls_wz=ls_wz,
ts_i=0.,
ts_u=0.,
ts_v=0.,
ts_w=0.,
k_arr=np.zeros(5),
energy=np.zeros(5),
time_arr=time_arr,
)
def __init__(self, block: Block, u_av: Tuple[float, float, float],
re_xx: float, re_yy: float, re_zz: float, re_xy: float,
re_xz: float, re_yz: float, time_arr: np.ndarray):
Generator.__init__(self, block, u_av, re_xx, re_yy, re_zz, re_xy,
re_xz, re_yz, time_arr)