(tests) Modidy SU2 test

Return 0 for pipeline

blast/tests/su2/blisu2.py

-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-
-# Copyright 2022 University of Liège
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-# @author Paul Dechamps
-# @date 2022 reworked 2025
-# Test the vii implementation using SU2 as the inviscid solver
-
-# Imports.
-import blast.blUtils as vutils
-from fwk.wutils import parseargs
-
-def cfgSu2(verb):
-    import os
-    return {
-    'filename' : os.path.abspath(os.path.join(os.path.split(os.path.abspath(__file__))[0], "config.cfg")),
-    'meshfile': os.path.abspath(os.path.join(os.path.split(os.path.abspath(__file__))[0], "../../models/su2/n0012_su2.su2")),
-    'wingTags' : ['airfoil', 'airfoil_'],
-    'Verb': verb,               # Verbosity level
-    }
-
-def cfgBlast():
-    return {
-    'Re' : 1e7,                 # Freestream Reynolds number
-    'CFL0' : 2,                 # Inital CFL number of the calculation
-    'couplIter': 2,            # Maximum number of iterations
-    'sections': {'airfoil': [0.0]},
-    'spans': {'airfoil': 1.0},
-    'couplTol' : 1e-4,          # Tolerance of the VII methodology
-    'iterPrint': 1,             # int, number of iterations between outputs
-    'resetInv' : True,          # bool, flag to reset the inviscid calculation at every iteration.
-    'xtrF' : [None, 0.4],       # Forced transition locations
-    'interpolator' : 'Matching',# Interpolator for the coupling
-    }
-
-def main():
-    args = parseargs()
-    icfg = cfgSu2(args.verb)
-    vcfg = cfgBlast()
-    coupler, isol, vsol = vutils.initBlast(icfg, vcfg, iSolver='SU2', task='analysis')
-    coupler.run()
-
-    import numpy as np
-    cpi = np.loadtxt('Cp_inviscid.dat')
-    cpCorrected = np.loadtxt('Cp_viscous.dat')
-    import matplotlib.pyplot as plt
-    # Clear plt
-    plt.close('all')
-    plt.figure()
-    plt.plot(cpCorrected[:,0], cpCorrected[:,1], lw=3)
-    plt.plot(cpi[:,0], cpi[:,1], '--', lw=3)
-    plt.gca().invert_yaxis()
-    plt.show()
-    #plt.savefig('cp.png')
-    quit()
-
-    # Extract solution
-
-    # Display results
-    from matplotlib import pyplot as plt
-    fig, (ax1, ax2) = plt.subplots(1, 2)
-    ax1.plot(cpCorrected[:,0], cpCorrected[:,1], lw=3)
-    ax1.plot(su2API.cp0[:,0], su2API.cp0[:,1], '--', lw=1.5, color='black')
-    ax1.invert_yaxis()
-    ax1.set_ylabel('$c_p$')
-    ax2.plot(solsu2['xoc'], solsu2['Cf'], lw=3)
-    ax2.set_ylabel('$c_f$')
-    ax2.set_xlim([0,1])
-    plt.show()
-
-    plt.plot(cpCorrected[:,0], cpCorrected[:,1], lw=3, color='darkblue')
-    plt.plot(su2API.cp0[:,0], su2API.cp0[:,1], '--', lw=3, color='black')
-    plt.xticks([0, 1])
-    plt.yticks([-1, 0, 1])
-    plt.gca().invert_yaxis()
-
-    for i, spine in enumerate(plt.gca().spines.values()):
-        if i%2 != 0:
-            spine.set_visible(False)
-    plt.show()
-
-if __name__ == "__main__":
-    main()