diff --git a/Common/DataDrivenConfig.py b/Common/DataDrivenConfig.py index 2830274d..193a6a3f 100644 --- a/Common/DataDrivenConfig.py +++ b/Common/DataDrivenConfig.py @@ -1902,8 +1902,7 @@ def EnablePreferentialDiffusion(self, use_PD:bool=DefaultSettings_FGM.preferenti """ self.__preferential_diffusion = use_PD - if not self.__custom_Le_av_set: - self.SetAverageLewisNumbers() + self.SetAverageLewisNumbers() return diff --git a/Data_Generation/DataGenerator_NICFD.py b/Data_Generation/DataGenerator_NICFD.py index 8086716e..a7e1c3db 100644 --- a/Data_Generation/DataGenerator_NICFD.py +++ b/Data_Generation/DataGenerator_NICFD.py @@ -32,6 +32,7 @@ from tqdm import tqdm import csv import matplotlib.pyplot as plt +from scipy.interpolate import interp1d np.random.seed(2) #---------------------------------------------------------------------------------------------# @@ -74,6 +75,7 @@ class DataGenerator_CoolProp(DataGenerator_Base): __fd_step_size_rho:float = 7e-3 __fd_step_size_e:float = 7e-3 + __saturation_curve_interpolator:interp1d = False def __init__(self, Config_in:Config_NICFD=None): DataGenerator_Base.__init__(self, Config_in=Config_in) @@ -795,6 +797,14 @@ def ComputeSaturationCurve(self, N_samples:int=4000): sat_curve=np.column_stack((rho_sat,e_sat)) return sat_curve + def GenerateSaturationCurveInterpolator(self): + rhoe_sat_curve = self.ComputeSaturationCurve(4000) + self.__saturation_curve_interpolator = interp1d(rhoe_sat_curve[:,0], rhoe_sat_curve[:,1],kind="linear",bounds_error=False,fill_value="extrapolate") + return + + def GetSaturationCurveStaticEnergy(self, val_rho:float): + return self.__saturation_curve_interpolator(val_rho) + def GetFDStepSizes(self): return self.__fd_step_size_rho, self.__fd_step_size_e diff --git a/Manifold_Generation/LUT/LUTGenerators.py b/Manifold_Generation/LUT/LUTGenerators.py index 6eb509f1..a76a1e21 100644 --- a/Manifold_Generation/LUT/LUTGenerators.py +++ b/Manifold_Generation/LUT/LUTGenerators.py @@ -91,10 +91,21 @@ def _checkIfVariableIsValid(self, var_to_check:str): def _passRefinementOptions(self, mesher:MeshThermodynamicPlane): if self._Config.TwoPhase(): - rhoe_saturation_curve = self.__datagenerator.ComputeSaturationCurve(N_samples=2000) - saturation_curve_pts_scaled = self._scaler_controlling_variables.transform(rhoe_saturation_curve) + saturation_curve_pts_scaled = self.__calculateSaturationCurvePoints() mesher.setSaturationCurvePoints(saturation_curve_pts_scaled) + return super()._passRefinementOptions(mesher) + + def __calculateSaturationCurvePoints(self): + self.__datagenerator.GenerateSaturationCurveInterpolator() + n_samples = 5000 + rho_saturation_curve = self.__datagenerator.ComputeSaturationCurve(N_samples=n_samples)[:,0] + rho_min, rho_max = np.min(rho_saturation_curve), np.max(rho_saturation_curve) + rho_saturation_curve = np.linspace(rho_min, rho_max, n_samples) + e_saturation_curve = self.__datagenerator.GetSaturationCurveStaticEnergy(rho_saturation_curve) + rhoe_saturation_curve = np.column_stack((rho_saturation_curve, e_saturation_curve)) + saturation_curve_pts_scaled = self._scaler_controlling_variables.transform(rhoe_saturation_curve) + return saturation_curve_pts_scaled def _initiateMesher(self): return MeshThermodynamicPlane() diff --git a/Manifold_Generation/LUT/MeshTools.py b/Manifold_Generation/LUT/MeshTools.py index 0879f482..46b7fec9 100644 --- a/Manifold_Generation/LUT/MeshTools.py +++ b/Manifold_Generation/LUT/MeshTools.py @@ -3,6 +3,7 @@ from concave_hull import concave_hull, concave_hull_indexes from collections.abc import Callable from Common.CommonMethods import shoelace, FiniteDifferenceDerivative +from shapely.geometry import Point, Polygon def default_refinement_function(this, x:float, y:float, z:float): return 1.0 @@ -424,19 +425,13 @@ def __createSaturationCurveOffsets(self, normal_vector:np.ndarray[float]): def __clipSaturationCurveToPlane(self, pts_offset_lower:np.ndarray[float], pts_offset_upper:np.ndarray[float]): hull_pts_orig = concave_hull(self._pointCloud_hullNodes, length_threshold=self._base_cell_size) - ref_area = shoelace(hull_pts_orig) + polygon_thermodynamic_plane = Polygon(hull_pts_orig) within_hull = np.zeros(len(self.__saturation_curve_points),dtype=bool) for i in range(len(self.__saturation_curve_points)): - XY_with_pt = np.vstack((self._pointCloud_hullNodes[:,:2], pts_offset_upper[i,:])) - hull_n = concave_hull(XY_with_pt, length_threshold=self._base_cell_size) - area_n = shoelace(hull_n) - within_hull_upper = (area_n <= ref_area ) - XY_with_pt = np.vstack((self._pointCloud_hullNodes[:,:2], pts_offset_lower[i,:])) - hull_n = concave_hull(XY_with_pt, length_threshold=self._base_cell_size) - area_n = shoelace(hull_n) - within_hull_lower = (area_n <= ref_area ) - within_hull[i] = (within_hull_upper and within_hull_lower) + pt_upper = Point(pts_offset_upper[i]) + pt_lower = Point(pts_offset_lower[i]) + within_hull[i] = polygon_thermodynamic_plane.contains(pt_upper) and polygon_thermodynamic_plane.contains(pt_lower) return within_hull diff --git a/Manifold_Generation/MLP/Trainers_NICFD/Trainers.py b/Manifold_Generation/MLP/Trainers_NICFD/Trainers.py index d5a42281..68415584 100644 --- a/Manifold_Generation/MLP/Trainers_NICFD/Trainers.py +++ b/Manifold_Generation/MLP/Trainers_NICFD/Trainers.py @@ -41,12 +41,11 @@ import matplotlib.pyplot as plt from matplotlib import ticker -import CoolProp as CoolP -import CoolProp.CoolProp as CP from Common.DataDrivenConfig import Config_NICFD from Common.CommonMethods import readStateDataFromFile from Common.Properties import DefaultSettings_NICFD, EntropicVars +from Data_Generation.DataGenerator_NICFD import DataGenerator_CoolProp from Manifold_Generation.MLP.Trainer_Base import TensorFlowFit,PhysicsInformedTrainer,TrainMLP LabelPairing = {EntropicVars.s.name:r"Entropy $(s)[J/kg]$",\ @@ -58,45 +57,6 @@ EntropicVars.dpdrho_e.name:r"Pressure-density derivative $\left(\left.\frac{\partial p}{\partial \rho}\right|_e\right)$",\ EntropicVars.dpde_rho.name:r"Pressure-energy derivative $\left(\left.\frac{\partial p}{\partial e}\right|_\rho\right)$"} -def GetStateVector(fluid:CP.AbstractState): - """Extract the fluid thermodynamic properties from the CoolProp abstract state object. - - :param fluid: CoolProp abstract state of the equation of state. - :type fluid: CoolProp.CoolProp.AbstractState - :return: thermodynamic state properties, phase - :rtype: np.ndarray, bool - """ - state_vector_vals = np.ones(EntropicVars.N_STATE_VARS.value) - correct_phase = True - accepted_phases:list[int] = [CoolP.iphase_gas, CoolP.iphase_supercritical_gas, CoolP.iphase_supercritical] - if fluid.phase() in accepted_phases: - state_vector_vals[EntropicVars.s.value] = fluid.smass() - state_vector_vals[EntropicVars.dsde_rho.value] = fluid.first_partial_deriv(CP.iSmass, CP.iUmass, CP.iDmass) - state_vector_vals[EntropicVars.dsdrho_e.value] = fluid.first_partial_deriv(CP.iSmass, CP.iDmass, CP.iUmass) - state_vector_vals[EntropicVars.d2sde2.value] = fluid.second_partial_deriv(CP.iSmass, CP.iUmass, CP.iDmass, CP.iUmass, CP.iDmass) - state_vector_vals[EntropicVars.d2sdedrho.value] = fluid.second_partial_deriv(CP.iSmass, CP.iUmass, CP.iDmass, CP.iDmass, CP.iUmass) - state_vector_vals[EntropicVars.d2sdrho2.value] = fluid.second_partial_deriv(CP.iSmass, CP.iDmass, CP.iUmass, CP.iDmass, CP.iUmass) - state_vector_vals[EntropicVars.Density.value] = fluid.rhomass() - state_vector_vals[EntropicVars.Energy.value] = fluid.umass() - state_vector_vals[EntropicVars.T.value] = fluid.T() - state_vector_vals[EntropicVars.p.value] = fluid.p() - state_vector_vals[EntropicVars.c2.value] = fluid.speed_sound()**2 - state_vector_vals[EntropicVars.dTde_rho.value] = fluid.first_partial_deriv(CP.iT, CP.iUmass, CP.iDmass) - state_vector_vals[EntropicVars.dTdrho_e.value] = fluid.first_partial_deriv(CP.iT, CP.iDmass, CP.iUmass) - state_vector_vals[EntropicVars.dpde_rho.value] = fluid.first_partial_deriv(CP.iP, CP.iUmass, CP.iDmass) - state_vector_vals[EntropicVars.dpdrho_e.value] = fluid.first_partial_deriv(CP.iP, CP.iDmass, CP.iUmass) - state_vector_vals[EntropicVars.dhde_rho.value] = fluid.first_partial_deriv(CP.iHmass, CP.iUmass, CP.iDmass) - state_vector_vals[EntropicVars.dhdrho_e.value] = fluid.first_partial_deriv(CP.iHmass, CP.iDmass, CP.iUmass) - state_vector_vals[EntropicVars.dhdp_rho.value] = fluid.first_partial_deriv(CP.iHmass, CP.iP, CP.iDmass) - state_vector_vals[EntropicVars.dhdrho_p.value] = fluid.first_partial_deriv(CP.iHmass, CP.iDmass, CP.iP) - state_vector_vals[EntropicVars.dsdp_rho.value] = fluid.first_partial_deriv(CP.iSmass, CP.iP, CP.iDmass) - state_vector_vals[EntropicVars.dsdrho_p.value] = fluid.first_partial_deriv(CP.iSmass, CP.iDmass, CP.iP) - state_vector_vals[EntropicVars.cp.value] = fluid.cpmass() - else: - correct_phase = False - state_vector_vals[:] = None - return state_vector_vals, correct_phase - def ComputeRhoEGridData(config:Config_NICFD): """Compute the fluid thermodynamic properties for a coarse rho-e grid for visualization purposes. @@ -117,16 +77,18 @@ def ComputeRhoEGridData(config:Config_NICFD): state_cp = np.empty([Np_x, Np_y, EntropicVars.N_STATE_VARS.value]) state_cp[:] = np.nan - fluid = CP.AbstractState(config.GetEquationOfState(), config.GetFluid()) + dg = DataGenerator_CoolProp(config) + for i in range(Np_x): for j in range(Np_y): rho = xx[i,j] e = yy[i,j] state_cp[i,j,EntropicVars.Density.value] = rho state_cp[i,j,EntropicVars.Energy.value] = e + try: - fluid.update(CP.DmassUmass_INPUTS, rho, e) - state_vector_vals, correct_phase = GetStateVector(fluid) + dg.UpdateFluid(rho, e) + state_vector_vals, correct_phase = dg.GetStateVector() if correct_phase: state_cp[i,j,:] = state_vector_vals except: diff --git a/RegressionTests/TableGeneration/NICFD/LUT_test.ref b/RegressionTests/TableGeneration/NICFD/LUT_test.ref index 78feddeb..d5563a2b 100644 --- a/RegressionTests/TableGeneration/NICFD/LUT_test.ref +++ b/RegressionTests/TableGeneration/NICFD/LUT_test.ref @@ -12,10 +12,10 @@ HEOS Table contains two-phase data [Number of points] -297 +300 [Number of triangles] -527 +533 [Number of hull points] 65 @@ -88,48 +88,54 @@ Table contains two-phase data 1.18509867326749e+02 2.22222222222222e+05 2.46319349503526e+02 1.58581316602038e+06 1.09648440530994e+04 1.16457150510085e+03 -4.58399849499832e-01 4.05977038351056e-03 5.30537673870280e-03 -3.05498060879407e-06 -3.83961299746714e-09 1.85355516499270e-01 2.32961691558418e-04 9.60216995887537e+03 1.20683807731261e+01 1.10183439611701e+00 -3.18885293962576e+01 9.12992734344753e-02 -9.08559670035925e+02 3.36397273157875e-04 -3.68854364006397e+00 1.25148563409877e+03 7.46030316086011e+02 2.35603439365767e+05 2.39924962769179e-02 3.32029866248428e-05 3.22011668993972e-01 6.87193489153495e+01 2.22222222222222e+05 2.34333290174424e+02 1.04898100270258e+06 1.37716349955470e+04 1.19714489024703e+03 -9.47928455922052e-01 4.26742610602044e-03 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pydata-sphinx-theme - meshio - concave_hull -- ruff \ No newline at end of file +- ruff +- shapely diff --git a/required_packages.txt b/required_packages.txt index 0cc719a6..2de56841 100644 --- a/required_packages.txt +++ b/required_packages.txt @@ -20,4 +20,5 @@ pymoo==0.6.1.6 pydata-sphinx-theme meshio==5.3.5 concave_hull==0.1.2 -ruff==0.15.13 \ No newline at end of file +ruff==0.15.13 +shapely==2.1.2