From a3376a35b7cbbf9ceb4282726e6a1bb82dbb66aa Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Thu, 21 Nov 2019 20:00:28 +0100 Subject: [PATCH] testing mechanics module with pytest --- python/tests/test_mechanics.py | 135 +++++++++++++++++++++++++++++++++ 1 file changed, 135 insertions(+) create mode 100644 python/tests/test_mechanics.py diff --git a/python/tests/test_mechanics.py b/python/tests/test_mechanics.py new file mode 100644 index 000000000..aeed1594a --- /dev/null +++ b/python/tests/test_mechanics.py @@ -0,0 +1,135 @@ +import numpy as np +from damask import mechanics + +class TestMechanics: + + n = 9 + c = np.random.randint(n) + + + def test_vectorize_Cauchy(self): + P = np.random.random((self.n,3,3)) + F = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.Cauchy(F,P)[self.c], + mechanics.Cauchy(F[self.c],P[self.c])) + + + def test_vectorize_strain_tensor(self): + F = np.random.random((self.n,3,3)) + t = ['V','U'][np.random.randint(0,2)] + m = np.random.random()*10. -5.0 + assert np.allclose(mechanics.strain_tensor(F,t,m)[self.c], + mechanics.strain_tensor(F[self.c],t,m)) + + + def test_vectorize_deviatoric_part(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.deviatoric_part(x)[self.c], + mechanics.deviatoric_part(x[self.c])) + + + def test_vectorize_spherical_part(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.spherical_part(x)[self.c], + mechanics.spherical_part(x[self.c])) + + + def test_vectorize_Mises_stress(self): + sigma = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.Mises_stress(sigma)[self.c], + mechanics.Mises_stress(sigma[self.c])) + + + def test_vectorize_Mises_strain(self): + epsilon = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.Mises_strain(epsilon)[self.c], + mechanics.Mises_strain(epsilon[self.c])) + + + def test_vectorize_symmetric(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.symmetric(x)[self.c], + mechanics.symmetric(x[self.c])) + + + def test_vectorize_maximum_shear(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.maximum_shear(x)[self.c], + mechanics.maximum_shear(x[self.c])) + + + def test_vectorize_principal_components(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.principal_components(x)[self.c], + mechanics.principal_components(x[self.c])) + + + def test_vectorize_transpose(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.transpose(x)[self.c], + mechanics.transpose(x[self.c])) + + + def test_vectorize_rotational_part(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.rotational_part(x)[self.c], + mechanics.rotational_part(x[self.c])) + + + def test_vectorize_left_stretch(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.left_stretch(x)[self.c], + mechanics.left_stretch(x[self.c])) + + + def test_vectorize_right_stretch(self): + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.right_stretch(x)[self.c], + mechanics.right_stretch(x[self.c])) + + + def test_Cauchy(self): + """Ensure Cauchy stress is symmetrized 1. Piola-Kirchhoff stress for no deformation.""" + P = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.Cauchy(np.broadcast_to(np.eye(3),(self.n,3,3)),P), + mechanics.symmetric(P)) + + + def test_strain_tensor_no_rotation(self): + """Ensure that left and right stretch give same results for no rotation.""" + F = np.broadcast_to(np.eye(3),[self.n,3,3])*np.random.random((self.n,3,3)) + m = np.random.random()*20.0-10.0 + assert np.allclose(mechanics.strain_tensor(F,'U',m), + mechanics.strain_tensor(F,'V',m)) + + + def test_strain_tensor_rotation(self): + """Ensure that pure rotation results in no strain.""" + F = mechanics.rotational_part(np.random.random((self.n,3,3))) + t = ['V','U'][np.random.randint(0,2)] + m = np.random.random()*2.0 - 1.0 + assert np.allclose(mechanics.strain_tensor(F,t,m), + 0.0) + + + def test_spherical_deviatoric_part(self): + """Ensure that full tensor is sum of spherical and deviatoric part.""" + x = np.random.random((self.n,3,3)) + sph = np.broadcast_to(np.eye(3),(self.n,3,3))\ + * np.repeat(mechanics.spherical_part(x),9).reshape(self.n,3,3) + assert np.allclose(sph + mechanics.deviatoric_part(x), + x) + + + def test_symmetric(self): + """Ensure that a symmetric tensor is half of the sum of a tensor and its transpose.""" + x = np.random.random((self.n,3,3)) + assert np.allclose(mechanics.symmetric(x)*2.0, + mechanics.transpose(x)+x) + + + def test_transpose(self): + """Ensure that a symmetric tensor equals its transpose.""" + x = mechanics.symmetric(np.random.random((self.n,3,3))) + assert np.allclose(mechanics.transpose(x), + x)