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| bool | generate_droplet_dynamics.do_simplifications = False |
| | Settings explanation DIMENSION TO COMPUTE: This symbolic generator is valid for both 2D and 3D cases. More...
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| |
| string | generate_droplet_dynamics.dim_to_compute = "Both" |
| |
| string | generate_droplet_dynamics.linearisation = "Picard" |
| |
| bool | generate_droplet_dynamics.divide_by_rho = True |
| |
| bool | generate_droplet_dynamics.ASGS_stabilization = True |
| |
| string | generate_droplet_dynamics.mode = "c" |
| |
| string | generate_droplet_dynamics.time_integration = "bdf2" |
| |
| string | generate_droplet_dynamics.output_filename = "droplet_dynamics_element.cpp" |
| |
| string | generate_droplet_dynamics.template_filename = "droplet_dynamics_template.cpp" |
| |
| string | generate_droplet_dynamics.err_msg = "Wrong time_integration. Given \'" + time_integration + "\'. Available option is \'bdf2\'." |
| |
| list | generate_droplet_dynamics.dim_vector = [2] |
| |
| | generate_droplet_dynamics.templatefile = open(template_filename) |
| | Read the template file. More...
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| |
| | generate_droplet_dynamics.outstring = templatefile.read() |
| |
| int | generate_droplet_dynamics.nnodes = 3 |
| |
| int | generate_droplet_dynamics.strain_size = 3 |
| |
| bool | generate_droplet_dynamics.impose_partion_of_unity = False |
| |
| | generate_droplet_dynamics.N |
| |
| | generate_droplet_dynamics.DN |
| |
| | generate_droplet_dynamics.DNenr = DefineMatrix('DNenr',nnodes,dim) |
| |
| | generate_droplet_dynamics.Nenr = DefineVector('Nenr',nnodes) |
| |
| | generate_droplet_dynamics.v = DefineMatrix('v',nnodes,dim) |
| | Unknown fields definition. More...
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| |
| | generate_droplet_dynamics.vn = DefineMatrix('vn',nnodes,dim) |
| |
| | generate_droplet_dynamics.vnn = DefineMatrix('vnn',nnodes,dim) |
| |
| | generate_droplet_dynamics.p = DefineVector('p',nnodes) |
| |
| | generate_droplet_dynamics.pn = DefineVector('pn',nnodes) |
| |
| | generate_droplet_dynamics.penr = DefineVector('penr',nnodes) |
| |
| | generate_droplet_dynamics.w = DefineMatrix('w',nnodes,dim) |
| | Test functions definition. More...
|
| |
| | generate_droplet_dynamics.q = DefineVector('q',nnodes) |
| |
| | generate_droplet_dynamics.qenr = DefineVector('qenr' ,nnodes) |
| |
| | generate_droplet_dynamics.f = DefineMatrix('f',nnodes,dim) |
| | Other data definitions. More...
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| |
| | generate_droplet_dynamics.fn = DefineMatrix('fn',nnodes,dim) |
| |
| | generate_droplet_dynamics.vmeshn = DefineMatrix('vmeshn',nnodes,dim) |
| |
| | generate_droplet_dynamics.C = DefineSymmetricMatrix('C',strain_size,strain_size) |
| | Constitutive matrix definition. More...
|
| |
| | generate_droplet_dynamics.stress = DefineVector('stress',strain_size) |
| | Stress vector definition. More...
|
| |
| | generate_droplet_dynamics.dt = sympy.Symbol('dt', positive = True) |
| | Other simbols definition. More...
|
| |
| | generate_droplet_dynamics.rho = sympy.Symbol('rho', positive = True) |
| |
| | generate_droplet_dynamics.nu = sympy.Symbol('nu', positive = True) |
| |
| | generate_droplet_dynamics.mu = sympy.Symbol('mu', positive = True) |
| |
| | generate_droplet_dynamics.tau1 = sympy.Symbol('tau1', positive = True) |
| |
| | generate_droplet_dynamics.tau2 = sympy.Symbol('tau2', positive = True) |
| |
| | generate_droplet_dynamics.h = sympy.Symbol('h', positive = True) |
| |
| | generate_droplet_dynamics.dyn_tau = sympy.Symbol('dyn_tau', positive = True) |
| |
| | generate_droplet_dynamics.stab_c1 = sympy.Symbol('stab_c1', positive = True) |
| |
| | generate_droplet_dynamics.stab_c2 = sympy.Symbol('stab_c2', positive = True) |
| |
| | generate_droplet_dynamics.vconv = DefineMatrix('vconv',nnodes,dim) |
| | Convective velocity definition. More...
|
| |
| | generate_droplet_dynamics.vmesh = DefineMatrix('vmesh',nnodes,dim) |
| |
| | generate_droplet_dynamics.vconv_gauss = vconv.transpose()*N |
| |
| float | generate_droplet_dynamics.vconv_gauss_norm = 0.0 |
| | Compute the stabilization parameters. More...
|
| |
| | generate_droplet_dynamics.bdf0 = sympy.Symbol('bdf0') |
| | Data interpolation to the Gauss points. More...
|
| |
| | generate_droplet_dynamics.bdf1 = sympy.Symbol('bdf1') |
| |
| | generate_droplet_dynamics.bdf2 = sympy.Symbol('bdf2') |
| |
| tuple | generate_droplet_dynamics.acceleration = (bdf0*v +bdf1*vn + bdf2*vnn) |
| |
| | generate_droplet_dynamics.v_gauss = v.transpose()*N |
| |
| | generate_droplet_dynamics.f_gauss = f.transpose()*N |
| |
| | generate_droplet_dynamics.p_gauss = p.transpose()*N |
| | Data interpolation to the Gauss points. More...
|
| |
| | generate_droplet_dynamics.penr_gauss = penr.transpose()*Nenr |
| |
| | generate_droplet_dynamics.w_gauss = w.transpose()*N |
| |
| | generate_droplet_dynamics.q_gauss = q.transpose()*N |
| |
| | generate_droplet_dynamics.qenr_gauss = qenr.transpose()*Nenr |
| |
| tuple | generate_droplet_dynamics.accel_gauss = acceleration.transpose()*N |
| |
| | generate_droplet_dynamics.grad_v = DN.transpose()*v |
| | Gradients computation. More...
|
| |
| | generate_droplet_dynamics.grad_w = DN.transpose()*w |
| |
| | generate_droplet_dynamics.grad_q = DN.transpose()*q |
| |
| | generate_droplet_dynamics.grad_qenr = DNenr.transpose()*qenr |
| |
| | generate_droplet_dynamics.grad_p = DN.transpose()*p |
| |
| | generate_droplet_dynamics.grad_penr = DNenr.transpose()*penr |
| |
| | generate_droplet_dynamics.div_v = div(DN,v) |
| |
| | generate_droplet_dynamics.div_w = div(DN,w) |
| |
| | generate_droplet_dynamics.div_vconv = div(DN,vconv) |
| |
| | generate_droplet_dynamics.grad_sym_v_voigt = grad_sym_voigtform(DN,v) |
| |
| | generate_droplet_dynamics.grad_sym_w_voigt = grad_sym_voigtform(DN,w) |
| |
| tuple | generate_droplet_dynamics.convective_term = (vconv_gauss.transpose()*grad_v) |
| |
| tuple | generate_droplet_dynamics.rv_galerkin = rho*w_gauss.transpose()*f_gauss - rho*w_gauss.transpose()*accel_gauss - rho*w_gauss.transpose()*convective_term.transpose() - grad_sym_w_voigt.transpose()*stress + div_w*p_gauss |
| | Galerkin Functional. More...
|
| |
| tuple | generate_droplet_dynamics.vel_residual = rho*f_gauss - rho*accel_gauss - rho*convective_term.transpose() - grad_p |
| |
| | generate_droplet_dynamics.mas_residual = -div_v[0,0] |
| |
| tuple | generate_droplet_dynamics.vel_subscale = tau1*vel_residual |
| |
| | generate_droplet_dynamics.mas_subscale = tau2*mas_residual |
| |
| tuple | generate_droplet_dynamics.rv_stab = grad_q.transpose()*vel_subscale |
| |
| tuple | generate_droplet_dynamics.rv = rv_galerkin + rv_stab |
| | Add the stabilization terms to the original residual terms. More...
|
| |
| | generate_droplet_dynamics.dofs = sympy.zeros(nnodes*(dim+1), 1) |
| | Define DOFs and test function vectors. More...
|
| |
| | generate_droplet_dynamics.testfunc = sympy.zeros(nnodes*(dim+1), 1) |
| |
| | generate_droplet_dynamics.rhs = Compute_RHS(rv.copy(), testfunc, do_simplifications) |
| | Compute LHS and RHS For the RHS computation one wants the residual of the previous iteration (residual based formulation). More...
|
| |
| | generate_droplet_dynamics.rhs_out = OutputVector_CollectingFactors(rhs, "rhs", mode) |
| |
| | generate_droplet_dynamics.lhs = Compute_LHS(rhs, testfunc, dofs, do_simplifications) |
| |
| | generate_droplet_dynamics.lhs_out = OutputMatrix_CollectingFactors(lhs, "lhs", mode) |
| |
| | generate_droplet_dynamics.vel_residual_enr = rho*f_gauss - rho*(accel_gauss + convective_term.transpose()) - grad_p - grad_penr |
| | K V x = b + rhs_eV H Kee penr = rhs_ee. More...
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| |
| | generate_droplet_dynamics.vel_subscale_enr = vel_residual_enr * tau1 |
| |
| | generate_droplet_dynamics.rv_galerkin_enriched = div_w*penr_gauss |
| |
| | generate_droplet_dynamics.rv_stab_enriched = grad_qenr.transpose()*vel_subscale_enr |
| |
| | generate_droplet_dynamics.rv_enriched = rv_galerkin_enriched |
| |
| | generate_droplet_dynamics.dofs_enr = sympy.zeros(nnodes,1) |
| | Add the stabilization terms to the original residual terms. More...
|
| |
| | generate_droplet_dynamics.testfunc_enr = sympy.zeros(nnodes,1) |
| |
| | generate_droplet_dynamics.rhs_eV |
| | K V x = b + rhs_eV H Kee penr = rhs_ee. More...
|
| |
| | generate_droplet_dynamics.V |
| |
| | generate_droplet_dynamics.rhs_ee |
| |
| | generate_droplet_dynamics.H |
| |
| | generate_droplet_dynamics.Kee |
| |
| | generate_droplet_dynamics.V_out = OutputMatrix_CollectingFactors(V,"V",mode) |
| |
| | generate_droplet_dynamics.H_out = OutputMatrix_CollectingFactors(H,"H",mode) |
| |
| | generate_droplet_dynamics.Kee_out = OutputMatrix_CollectingFactors(Kee,"Kee",mode) |
| |
| | generate_droplet_dynamics.rhs_ee_out = OutputVector_CollectingFactors(rhs_ee,"rhs_ee",mode) |
| |
| | generate_droplet_dynamics.out = open(output_filename,'w') |
| |
1.9.1