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已同步 2025-08-06 12:36:51 +08:00
Overhaul of PMLs and introduction of new, optional MRIPML formulation.
这个提交包含在:
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import itertools
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from operator import add
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import os
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import sys
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from colorama import init, Fore, Style
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init()
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import h5py
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import matplotlib.pyplot as plt
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import numpy as np
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# Create/setup plot figure
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#colors = ['#E60D30', '#5CB7C6', '#A21797', '#A3B347'] # Plot colours from http://tools.medialab.sciences-po.fr/iwanthue/index.php
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#colorIDs = ["#62a85b", "#9967c7", "#b3943f", "#6095cd", "#cb5c42", "#c95889"]
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colorIDs = ["#79c72e", "#5774ff", "#ff7c2c", "#4b4e80", "#d7004e", "#007545", "#ff83ec"]
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#colorIDs = ["#ba0044", "#b2d334", "#470055", "#185300", "#ff96b1", "#3e2700", "#0162a9", "#fdb786"]
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colors = itertools.cycle(colorIDs)
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# for i in range(2):
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# next(colors)
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lines = itertools.cycle(('--', ':', '-.', '-'))
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markers = ['o', 'd', '^', 's', '*']
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basepath = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'pml_3D_pec_plate')
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path = 'rxs/rx1/'
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refmodel = 'pml_3D_pec_plate_ref'
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PMLIDs = ['CFS-PML', 'HORIPML-1', 'HORIPML-2', 'MRIPML-1', 'MRIPML-2']
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maxerrors = []
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testmodels = ['pml_3D_pec_plate_' + s for s in PMLIDs]
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Iterations', ylabel='Error [dB]'), figsize=(20, 10), facecolor='w', edgecolor='w')
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for x, model in enumerate(testmodels):
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# Get output for model and reference files
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fileref = h5py.File(os.path.join(basepath, refmodel + '.out'), 'r')
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filetest = h5py.File(os.path.join(basepath, model + '.out'), 'r')
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# Get available field output component names
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outputsref = list(fileref[path].keys())
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outputstest = list(filetest[path].keys())
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if outputsref != outputstest:
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raise GeneralError('Field output components do not match reference solution')
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# Check that type of float used to store fields matches
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if filetest[path + outputstest[0]].dtype != fileref[path + outputsref[0]].dtype:
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print(Fore.RED + 'WARNING: Type of floating point number in test model ({}) does not match type in reference solution ({})\n'.format(filetest[path + outputstest[0]].dtype, fileref[path + outputsref[0]].dtype) + Style.RESET_ALL)
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floattyperef = fileref[path + outputsref[0]].dtype
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floattypetest = filetest[path + outputstest[0]].dtype
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# print('Data type: {}'.format(floattypetest))
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# Arrays for storing time
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# timeref = np.zeros((fileref.attrs['Iterations']), dtype=floattyperef)
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# timeref = np.linspace(0, (fileref.attrs['Iterations'] - 1) * fileref.attrs['dt'], num=fileref.attrs['Iterations']) / 1e-9
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# timetest = np.zeros((filetest.attrs['Iterations']), dtype=floattypetest)
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# timetest = np.linspace(0, (filetest.attrs['Iterations'] - 1) * filetest.attrs['dt'], num=filetest.attrs['Iterations']) / 1e-9
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timeref = np.zeros((fileref.attrs['Iterations']), dtype=floattyperef)
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timeref = np.linspace(0, (fileref.attrs['Iterations'] - 1), num=fileref.attrs['Iterations'])
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timetest = np.zeros((filetest.attrs['Iterations']), dtype=floattypetest)
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timetest = np.linspace(0, (filetest.attrs['Iterations'] - 1), num=filetest.attrs['Iterations'])
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# Arrays for storing field data
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dataref = np.zeros((fileref.attrs['Iterations'], len(outputsref)), dtype=floattyperef)
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datatest = np.zeros((filetest.attrs['Iterations'], len(outputstest)), dtype=floattypetest)
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for ID, name in enumerate(outputsref):
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dataref[:, ID] = fileref[path + str(name)][:]
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datatest[:, ID] = filetest[path + str(name)][:]
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if np.any(np.isnan(datatest[:, ID])):
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raise ValueError('Test data contains NaNs')
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fileref.close()
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filetest.close()
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# Diffs
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datadiffs = np.zeros(datatest.shape, dtype=np.float64)
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for i in range(len(outputstest)):
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max = np.amax(np.abs(dataref[:, i]))
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datadiffs[:, i] = np.divide(np.abs(datatest[:, i] - dataref[:, i]), max, out=np.zeros_like(dataref[:, i]), where=max != 0) # Replace any division by zero with zero
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# Calculate power (ignore warning from taking a log of any zero values)
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with np.errstate(divide='ignore'):
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datadiffs[:, i] = 20 * np.log10(datadiffs[:, i])
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# Replace any NaNs or Infs from zero division
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datadiffs[:, i][np.invert(np.isfinite(datadiffs[:, i]))] = 0
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# Print maximum error value
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start = 210
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maxerrors.append(': {:.1f} [dB]'.format(np.amax(datadiffs[start::, 1])))
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print('{}: Max. error {}'.format(model, maxerrors[x]))
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# Plot diffs (select column to choose field component, 0-Ex, 1-Ey etc..)
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ax.plot(timeref[start::], datadiffs[start::, 1], color=next(colors), lw=2, ls=next(lines), label=model)
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ax.set_xticks(np.arange(0, 2200, step=100))
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ax.set_xlim([0, 2100])
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ax.set_yticks(np.arange(-160, 0, step=20))
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ax.set_ylim([-160, -20])
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ax.set_axisbelow(True)
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ax.grid(color=(0.75,0.75,0.75), linestyle='dashed')
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mylegend = list(map(add, PMLIDs, maxerrors))
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legend = ax.legend(mylegend, loc=1, fontsize=14)
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frame = legend.get_frame()
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frame.set_edgecolor('white')
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frame.set_alpha(0)
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plt.show()
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# Save a PDF/PNG of the figure
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fig.savefig(basepath + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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#fig.savefig(savename + '.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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#title: Response from an elongated thin PEC plate
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#domain: 0.051 0.126 0.026
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 2100
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#time_step_stability_factor: 0.99
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################################################
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## PML parameters
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## CFS (alpha, kappa, sigma)
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## sigma_max = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
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## z0 = 376.73, d = 0.001
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################################################
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#pml_cells: 10
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#############
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## CFS PML ##
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#############
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#python:
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import numpy as np
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# Parameters from http://dx.doi.org/10.1109/TAP.2018.2823864
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smax = 1.1 * ((4 + 1) / (150 * np.pi * 0.001))
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print('#pml_cfs: constant forward 0.05 0.05 quartic forward 1 8 quartic forward 0 {}'.format(smax))
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#end_python:
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#waveform: gaussiandotnorm 1 9.42e9 mypulse
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#hertzian_dipole: z 0.013 0.013 0.014 mypulse
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#rx: 0.038 0.114 0.013
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#plate: 0.013 0.013 0.013 0.038 0.113 0.013 pec
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_f f
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_n n
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#title: Response from an elongated thin PEC plate
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#domain: 0.051 0.126 0.026
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 2100
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#time_step_stability_factor: 0.99
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################################################
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## PML parameters
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## CFS (alpha, kappa, sigma)
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## sigma_max = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
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## z0 = 376.73, d = 0.001
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################################################
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#pml_cells: 10
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################################################
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## 1st order (default) HORIPML - Standard PML ##
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################################################
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#python:
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import numpy as np
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# Parameters from http://dx.doi.org/10.1109/TAP.2011.2180344
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smax = 0.7 * ((4 + 1) / (150 * np.pi * 0.001))
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print('#pml_cfs: constant forward 0 0 quartic forward 1 12 quartic forward 0 {}'.format(smax))
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#end_python:
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#waveform: gaussiandotnorm 1 9.42e9 mypulse
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#hertzian_dipole: z 0.013 0.013 0.014 mypulse
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#rx: 0.038 0.114 0.013
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#plate: 0.013 0.013 0.013 0.038 0.113 0.013 pec
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_f f
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_n n
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#title: Response from an elongated thin PEC plate
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#domain: 0.051 0.126 0.026
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 2100
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#time_step_stability_factor: 0.99
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################################################
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## PML parameters
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## CFS (alpha, kappa, sigma)
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## sigma_max = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
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## z0 = 376.73, d = 0.001
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################################################
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#pml_cells: 10
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#######################
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## 2nd order HORIPML ##
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#######################
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#python:
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import numpy as np
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# Parameters from http://dx.doi.org/10.1109/TAP.2018.2823864
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smax1 = 0.275 / (150 * np.pi * 0.001)
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smax2 = 2.75 / (150 * np.pi * 0.001)
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a0 = 0.07
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print('#pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 {}'.format(smax1))
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print('#pml_cfs: sextic forward {} {} cubic forward 1 8 quadratic forward 0 {}'.format(a0, a0 + smax1, smax2))
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#end_python:
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#waveform: gaussiandotnorm 1 9.42e9 mypulse
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#hertzian_dipole: z 0.013 0.013 0.014 mypulse
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#rx: 0.038 0.114 0.013
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#plate: 0.013 0.013 0.013 0.038 0.113 0.013 pec
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_f f
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_n n
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#title: Response from an elongated thin PEC plate
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#domain: 0.051 0.126 0.026
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 2100
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#time_step_stability_factor: 0.99
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################################################
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## PML parameters
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## CFS (alpha, kappa, sigma)
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## sigma_max = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
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## z0 = 376.73, d = 0.001
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################################################
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#pml_cells: 10
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######################
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## 1st order MRIPML ##
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######################
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#pml_formulation: MRIPML
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#python:
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import numpy as np
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# Parameters from Antonis' MATLAB script (M3Dparams.m)
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smax = 1.1 * ((4 + 1) / (150 * np.pi * 0.001))
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print('#pml_cfs: constant forward 0.05 0.05 quartic forward 1 8 quartic forward 0 {}'.format(smax))
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#end_python:
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#waveform: gaussiandotnorm 1 9.42e9 mypulse
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#hertzian_dipole: z 0.013 0.013 0.014 mypulse
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#rx: 0.038 0.114 0.013
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#plate: 0.013 0.013 0.013 0.038 0.113 0.013 pec
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_f f
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_n n
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#title: Response from an elongated thin PEC plate
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#domain: 0.051 0.126 0.026
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 2100
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#time_step_stability_factor: 0.99
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################################################
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## PML parameters
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## CFS (alpha, kappa, sigma)
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## sigma_max = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
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## z0 = 376.73, d = 0.001
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################################################
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#pml_cells: 10
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######################
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## 2nd order MRIPML ##
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######################
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#pml_formulation: MRIPML
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#python:
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import numpy as np
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# Parameters from http://dx.doi.org/10.1109/TAP.2018.2823864
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smax1 = 0.65 * ((4 + 1) / (150 * np.pi * 0.001))
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smax2 = 0.65 * ((2 + 1) / (150 * np.pi * 0.001))
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print('#pml_cfs: quadratic reverse 0 0.15 quartic forward 1 12 quartic forward 0 {}'.format(smax1))
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print('#pml_cfs: linear reverse 0 0.8 constant forward 0 0 quadratic forward 0 {}'.format(smax2))
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#end_python:
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#waveform: gaussiandotnorm 1 9.42e9 mypulse
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#hertzian_dipole: z 0.013 0.013 0.014 mypulse
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#rx: 0.038 0.114 0.013
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#plate: 0.013 0.013 0.013 0.038 0.113 0.013 pec
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_f f
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geometry_view: 0 0 0 0.051 0.126 0.026 0.001 0.001 0.001 pml_3D_pec_plate_n n
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#title: Standard PML of response from an elongated thin PEC plate
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#domain: 0.201 0.276 0.176
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 2100
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#time_step_stability_factor: 0.99
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################################################
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## PML parameters
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## CFS (alpha, kappa, sigma)
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## sigma_max = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
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## z0 = 376.73, d = 0.001
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################################################
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#pml_cells: 10
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#############
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## CFS PML ##
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#############
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#python:
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import numpy as np
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# Parameters from http://dx.doi.org/10.1109/TAP.2018.2823864
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smax = 1.1 * ((4 + 1) / (150 * np.pi * 0.001))
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print('#pml_cfs: constant forward 0.05 0.05 quartic forward 1 8 quartic forward 0 {}'.format(smax))
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#end_python:
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#waveform: gaussiandotnorm 1 9.42e9 mypulse
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#hertzian_dipole: z 0.088 0.088 0.089 mypulse
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#rx: 0.113 0.189 0.088
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#plate: 0.088 0.088 0.088 0.113 0.188 0.088 pec
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geometry_view: 0 0 0 0.201 0.276 0.176 0.001 0.001 0.001 pml_3D_pec_plate_ref_f f
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geometry_view: 0 0 0 0.201 0.276 0.176 0.001 0.001 0.001 pml_3D_pec_plate_ref_n n
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10
tests/models_pmls/pml_off.in
可执行文件
10
tests/models_pmls/pml_off.in
可执行文件
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#title: PML test none
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#domain: 0.100 0.100 0.100
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 3e-9
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#waveform: gaussiandot 1 1e9 myWave
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#hertzian_dipole: z 0.050 0.050 0.050 myWave
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#rx: 0.070 0.070 0.070
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#pml_cells: 0
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26
tests/models_pmls/pml_x0/pml_x0.in
可执行文件
26
tests/models_pmls/pml_x0/pml_x0.in
可执行文件
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#title: PML test x0 slab
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#domain: 0.100 0.100 0.100
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 3e-9
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#waveform: gaussiandot 1 1e9 myWave
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#hertzian_dipole: z 0.050 0.050 0.050 myWave
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#rx: 0.070 0.070 0.070
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#pml_cells: 10 0 0 0 0 0
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#pml_formulation: HORIPML
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## Built-in 1st order PML
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#pml_cfs: constant forward 0 0 constant forward 1 1 quartic forward 0 None
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## PMLs from http://dx.doi.org/10.1109/TAP.2011.2180344
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## Standard PML
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pml_cfs: constant forward 0 0 quartic forward 1 11 quartic forward 0 7.427
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## CFS PML
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pml_cfs: constant forward 0.05 0.05 quartic forward 1 7 quartic forward 0 11.671
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## 2nd order RIPML
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pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 0.5836
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pml_cfs: constant forward 0.05 0.05 cubic forward 1 8 quadratic forward 0 5.8357
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@@ -0,0 +1,26 @@
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#title: PML test xmax slab
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#domain: 0.100 0.100 0.100
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#dx_dy_dz: 0.001 0.001 0.001
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#time_window: 3e-9
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#waveform: gaussiandot 1 1e9 myWave
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#hertzian_dipole: z 0.050 0.050 0.050 myWave
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#rx: 0.070 0.070 0.070
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#pml_cells: 0 0 0 10 0 0
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||||
#pml_formulation: HORIPML
|
||||
|
||||
## Built-in 1st order PML
|
||||
#pml_cfs: constant forward 0 0 constant forward 1 1 quartic forward 0 None
|
||||
|
||||
## PMLs from http://dx.doi.org/10.1109/TAP.2011.2180344
|
||||
## Standard PML
|
||||
pml_cfs: constant forward 0 0 quartic forward 1 11 quartic forward 0 7.427
|
||||
|
||||
## CFS PML
|
||||
pml_cfs: constant forward 0.05 0.05 quartic forward 1 7 quartic forward 0 11.671
|
||||
|
||||
## 2nd order RIPML
|
||||
pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 0.5836
|
||||
pml_cfs: constant forward 0.05 0.05 cubic forward 1 8 quadratic forward 0 5.8357
|
26
tests/models_pmls/pml_y0/pml_y0.in
可执行文件
26
tests/models_pmls/pml_y0/pml_y0.in
可执行文件
@@ -0,0 +1,26 @@
|
||||
#title: PML test y0 slab
|
||||
#domain: 0.100 0.100 0.100
|
||||
#dx_dy_dz: 0.001 0.001 0.001
|
||||
#time_window: 3e-9
|
||||
|
||||
#waveform: gaussiandot 1 1e9 myWave
|
||||
#hertzian_dipole: z 0.050 0.050 0.050 myWave
|
||||
#rx: 0.070 0.070 0.070
|
||||
|
||||
#pml_cells: 0 10 0 0 0 0
|
||||
|
||||
#pml_formulation: HORIPML
|
||||
|
||||
## Built-in 1st order PML
|
||||
#pml_cfs: constant forward 0 0 constant forward 1 1 quartic forward 0 None
|
||||
|
||||
## PMLs from http://dx.doi.org/10.1109/TAP.2011.2180344
|
||||
## Standard PML
|
||||
pml_cfs: constant forward 0 0 quartic forward 1 11 quartic forward 0 7.427
|
||||
|
||||
## CFS PML
|
||||
pml_cfs: constant forward 0.05 0.05 quartic forward 1 7 quartic forward 0 11.671
|
||||
|
||||
## 2nd order RIPML
|
||||
pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 0.5836
|
||||
pml_cfs: constant forward 0.05 0.05 cubic forward 1 8 quadratic forward 0 5.8357
|
@@ -0,0 +1,26 @@
|
||||
#title: PML test ymax slab
|
||||
#domain: 0.100 0.100 0.100
|
||||
#dx_dy_dz: 0.001 0.001 0.001
|
||||
#time_window: 3e-9
|
||||
|
||||
#waveform: gaussiandot 1 1e9 myWave
|
||||
#hertzian_dipole: z 0.050 0.050 0.050 myWave
|
||||
#rx: 0.070 0.070 0.070
|
||||
|
||||
#pml_cells: 0 0 0 0 10 0
|
||||
|
||||
#pml_formulation: HORIPML
|
||||
|
||||
## Built-in 1st order PML
|
||||
#pml_cfs: constant forward 0 0 constant forward 1 1 quartic forward 0 None
|
||||
|
||||
## PMLs from http://dx.doi.org/10.1109/TAP.2011.2180344
|
||||
## Standard PML
|
||||
pml_cfs: constant forward 0 0 quartic forward 1 11 quartic forward 0 7.427
|
||||
|
||||
## CFS PML
|
||||
pml_cfs: constant forward 0.05 0.05 quartic forward 1 7 quartic forward 0 11.671
|
||||
|
||||
## 2nd order RIPML
|
||||
pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 0.5836
|
||||
pml_cfs: constant forward 0.05 0.05 cubic forward 1 8 quadratic forward 0 5.8357
|
26
tests/models_pmls/pml_z0/pml_z0.in
可执行文件
26
tests/models_pmls/pml_z0/pml_z0.in
可执行文件
@@ -0,0 +1,26 @@
|
||||
#title: PML test z0 slab
|
||||
#domain: 0.100 0.100 0.100
|
||||
#dx_dy_dz: 0.001 0.001 0.001
|
||||
#time_window: 3e-9
|
||||
|
||||
#waveform: gaussiandot 1 1e9 myWave
|
||||
#hertzian_dipole: z 0.050 0.050 0.050 myWave
|
||||
#rx: 0.070 0.070 0.070
|
||||
|
||||
#pml_cells: 0 0 10 0 0 0
|
||||
|
||||
#pml_formulation: HORIPML
|
||||
|
||||
## Built-in 1st order PML
|
||||
#pml_cfs: constant forward 0 0 constant forward 1 1 quartic forward 0 None
|
||||
|
||||
## PMLs from http://dx.doi.org/10.1109/TAP.2011.2180344
|
||||
## Standard PML
|
||||
pml_cfs: constant forward 0 0 quartic forward 1 11 quartic forward 0 7.427
|
||||
|
||||
## CFS PML
|
||||
pml_cfs: constant forward 0.05 0.05 quartic forward 1 7 quartic forward 0 11.671
|
||||
|
||||
## 2nd order RIPML
|
||||
pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 0.5836
|
||||
pml_cfs: constant forward 0.05 0.05 cubic forward 1 8 quadratic forward 0 5.8357
|
@@ -0,0 +1,26 @@
|
||||
#title: PML test zmax slab
|
||||
#domain: 0.100 0.100 0.100
|
||||
#dx_dy_dz: 0.001 0.001 0.001
|
||||
#time_window: 3e-9
|
||||
|
||||
#waveform: gaussiandot 1 1e9 myWave
|
||||
#hertzian_dipole: z 0.050 0.050 0.050 myWave
|
||||
#rx: 0.070 0.070 0.070
|
||||
|
||||
#pml_cells: 0 0 0 0 0 10
|
||||
|
||||
#pml_formulation: HORIPML
|
||||
|
||||
## Built-in 1st order PML
|
||||
#pml_cfs: constant forward 0 0 constant forward 1 1 quartic forward 0 None
|
||||
|
||||
## PMLs from http://dx.doi.org/10.1109/TAP.2011.2180344
|
||||
## Standard PML
|
||||
pml_cfs: constant forward 0 0 quartic forward 1 11 quartic forward 0 7.427
|
||||
|
||||
## CFS PML
|
||||
pml_cfs: constant forward 0.05 0.05 quartic forward 1 7 quartic forward 0 11.671
|
||||
|
||||
## 2nd order RIPML
|
||||
pml_cfs: constant forward 0 0 constant forward 1 1 sextic forward 0 0.5836
|
||||
pml_cfs: constant forward 0.05 0.05 cubic forward 1 8 quadratic forward 0 5.8357
|
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