import pytest import numpy as np from damask import mechanics class TestMechanics: n = 1000 c = np.random.randint(n) @pytest.mark.parametrize('function',[mechanics.deviatoric_part, mechanics.eigenvalues, mechanics.eigenvectors, mechanics.left_stretch, mechanics.maximum_shear, mechanics.Mises_strain, mechanics.Mises_stress, mechanics.right_stretch, mechanics.rotational_part, mechanics.spherical_part, mechanics.symmetric, mechanics.transpose, ]) def test_vectorize_1_arg(self,function): epsilon = np.random.rand(self.n,3,3) assert np.allclose(function(epsilon)[self.c],function(epsilon[self.c])) @pytest.mark.parametrize('function',[mechanics.Cauchy, mechanics.PK2, ]) def test_vectorize_2_arg(self,function): P = np.random.rand(self.n,3,3) F = np.random.rand(self.n,3,3) assert np.allclose(function(P,F)[self.c],function(P[self.c],F[self.c])) def test_vectorize_strain_tensor(self): F = np.random.rand(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)) @pytest.mark.parametrize('function',[mechanics.Cauchy, mechanics.PK2, ]) def test_stress_measures(self,function): """Ensure that all stress measures are equivalent for no deformation.""" P = np.random.rand(self.n,3,3) assert np.allclose(function(P,np.broadcast_to(np.eye(3),(self.n,3,3))),mechanics.symmetric(P)) def test_deviatoric_part(self): I_n = np.broadcast_to(np.eye(3),(self.n,3,3)) r = np.logical_not(I_n)*np.random.rand(self.n,3,3) assert np.allclose(mechanics.deviatoric_part(I_n+r),r) def test_polar_decomposition(self): """F = RU = VR.""" F = np.broadcast_to(np.eye(3),[self.n,3,3])*np.random.rand(self.n,3,3) R = mechanics.rotational_part(F) V = mechanics.left_stretch(F) U = mechanics.right_stretch(F) assert np.allclose(np.matmul(R,U), np.matmul(V,R)) 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.rand(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_equivalence(self): """Ensure that left and right strain differ only by a rotation.""" F = np.broadcast_to(np.eye(3),[self.n,3,3]) + (np.random.rand(self.n,3,3)*0.5 - 0.25) m = np.random.random()*5.0-2.5 assert np.allclose(np.linalg.det(mechanics.strain_tensor(F,'U',m)), np.linalg.det(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.rand(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_rotation_determinant(self): """ Ensure that the determinant of the rotational part is +- 1. Should be +1, but random F might contain a reflection. """ x = np.random.rand(self.n,3,3) assert np.allclose(np.abs(np.linalg.det(mechanics.rotational_part(x))), 1.0) def test_spherical_deviatoric_part(self): """Ensure that full tensor is sum of spherical and deviatoric part.""" x = np.random.rand(self.n,3,3) sph = mechanics.spherical_part(x,True) assert np.allclose(sph + mechanics.deviatoric_part(x), x) def test_deviatoric_Mises(self): """Ensure that Mises equivalent stress depends only on deviatoric part.""" x = np.random.rand(self.n,3,3) full = mechanics.Mises_stress(x) dev = mechanics.Mises_stress(mechanics.deviatoric_part(x)) assert np.allclose(full, dev) def test_spherical_mapping(self): """Ensure that mapping to tensor is correct.""" x = np.random.rand(self.n,3,3) tensor = mechanics.spherical_part(x,True) scalar = mechanics.spherical_part(x) assert np.allclose(np.linalg.det(tensor), scalar**3.0) def test_spherical_Mises(self): """Ensure that Mises equivalent strrain of spherical strain is 0.""" x = np.random.rand(self.n,3,3) sph = mechanics.spherical_part(x,True) assert np.allclose(mechanics.Mises_strain(sph), 0.0) def test_symmetric(self): """Ensure that a symmetric tensor is half of the sum of a tensor and its transpose.""" x = np.random.rand(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.rand(self.n,3,3)) assert np.allclose(mechanics.transpose(x), x) def test_Mises(self): """Ensure that equivalent stress is 3/2 of equivalent strain.""" x = np.random.rand(self.n,3,3) assert np.allclose(mechanics.Mises_stress(x)/mechanics.Mises_strain(x), 1.5) def test_eigenvalues(self): """Ensure that the characteristic polynomial can be solved.""" A = mechanics.symmetric(np.random.rand(self.n,3,3)) lambd = mechanics.eigenvalues(A) s = np.random.randint(self.n) for i in range(3): assert np.allclose(np.linalg.det(A[s]-lambd[s,i]*np.eye(3)),.0) def test_eigenvalues_and_vectors(self): """Ensure that eigenvalues and -vectors are the solution to the characteristic polynomial.""" A = mechanics.symmetric(np.random.rand(self.n,3,3)) lambd = mechanics.eigenvalues(A) x = mechanics.eigenvectors(A) s = np.random.randint(self.n) for i in range(3): assert np.allclose(np.dot(A[s]-lambd[s,i]*np.eye(3),x[s,:,i]),.0) def test_eigenvectors_RHS(self): """Ensure that RHS coordinate system does only change sign of determinant.""" A = mechanics.symmetric(np.random.rand(self.n,3,3)) LRHS = np.linalg.det(mechanics.eigenvectors(A,RHS=False)) RHS = np.linalg.det(mechanics.eigenvectors(A,RHS=True)) assert np.allclose(np.abs(LRHS),RHS) def test_spherical_no_shear(self): """Ensure that sherical stress has max shear of 0.0.""" A = mechanics.spherical_part(mechanics.symmetric(np.random.rand(self.n,3,3)),True) assert np.allclose(mechanics.maximum_shear(A),0.0)