sfepy.homogenization.recovery module

sfepy.homogenization.recovery.add_strain_rs(corrs_rs, strain, vu, dim, iel, out=None)[source]
sfepy.homogenization.recovery.add_stress_p(out, pb, integral, region, vp, data)[source]
sfepy.homogenization.recovery.combine_scalar_grad(corrs, grad, vn, ii, shift_coors=None)[source]

\eta_k \partial_k^x p

or

(y_k + \eta_k) \partial_k^x p

sfepy.homogenization.recovery.compute_mac_stress_part(pb, integral, region, material, vu, mac_strain)[source]
sfepy.homogenization.recovery.compute_micro_u(corrs, strain, vu, dim, out=None)[source]

Micro displacements.

\bm{u}^1 = \bm{\chi}^{ij}\, e_{ij}^x(\bm{u}^0)

sfepy.homogenization.recovery.compute_p_corr_steady(corrs_pressure, pressure, vp, iel)[source]

\widetilde\pi^P\,p

sfepy.homogenization.recovery.compute_p_corr_time(corrs_rs, dstrains, corrs_pressure, pressures, vdp, dim, iel, ts)[source]

\sum_{ij} \int_0^t {\mathrm{d} \over \mathrm{d} t}
\widetilde\pi^{ij}(t-s)\, {\mathrm{d} \over \mathrm{d} s}
e_{ij}(\bm{u}(s))\,ds
+ \int_0^t {\mathrm{d} \over \mathrm{d} t}\widetilde\pi^P(t-s)\,p(s)\,ds

sfepy.homogenization.recovery.compute_p_from_macro(p_grad, coor, iel, centre=None, extdim=0)[source]

Macro-induced pressure.

\partial_j^x p\,(y_j - y_j^c)

sfepy.homogenization.recovery.compute_stress_strain_u(pb, integral, region, material, vu, data)[source]
sfepy.homogenization.recovery.compute_u_corr_steady(corrs_rs, strain, vu, dim, iel)[source]

\sum_{ij} \bm{\omega}^{ij}\, e_{ij}(\bm{u})

Notes

  • iel = element number

sfepy.homogenization.recovery.compute_u_corr_time(corrs_rs, dstrains, corrs_pressure, pressures, vu, dim, iel, ts)[source]

\sum_{ij} \left[ \int_0^t \bm{\omega}^{ij}(t-s) {\mathrm{d} \over
\mathrm{d} s} e_{ij}(\bm{u}(s))\,ds\right] + \int_0^t
\widetilde{\bm{\omega}}^P(t-s)\,p(s)\,ds

sfepy.homogenization.recovery.compute_u_from_macro(strain, coor, iel, centre=None)[source]

Macro-induced displacements.

e_{ij}^x(\bm{u})\,(y_j - y_j^c)

sfepy.homogenization.recovery.convolve_field_scalar(fvars, pvars, iel, ts)[source]

\int_0^t f(t-s) p(s) ds

Notes

  • t is given by step

  • f: fvars scalar field variables, defined in a micro domain, have shape [step][fmf dims]

  • p: pvars scalar point variables, a scalar in a point of macro-domain, FMField style have shape [n_step][var dims]

sfepy.homogenization.recovery.convolve_field_sym_tensor(fvars, pvars, var_name, dim, iel, ts)[source]

\int_0^t f^{ij}(t-s) p_{ij}(s) ds

Notes

  • t is given by step

  • f: fvars field variables, defined in a micro domain, have shape [step][fmf dims]

  • p: pvars sym. tensor point variables, a scalar in a point of macro-domain, FMField style, have shape [dim, dim][var_name][n_step][var dims]

sfepy.homogenization.recovery.destroy_pool()[source]
sfepy.homogenization.recovery.get_output_suffix(iel, ts, naming_scheme, format, output_format)[source]
sfepy.homogenization.recovery.get_recovery_points(region, eps0)[source]
sfepy.homogenization.recovery.recover_bones(problem, micro_problem, region, eps0, ts, strain, dstrains, p_grad, pressures, corrs_permeability, corrs_rs, corrs_time_rs, corrs_pressure, corrs_time_pressure, var_names, naming_scheme='step_iel')[source]

Notes

  • note that

    \widetilde{\pi}^P

    is in corrs_pressure -> from time correctors only ‘u’, ‘dp’ are needed.

sfepy.homogenization.recovery.recover_micro_hook(micro_filename, region, macro, eps0, region_mode='el_centers', eval_mode='constant', eval_vars=None, corrs=None, recovery_file_tag='', define_args=None, output_dir=None, verbose=False)[source]
Parameters
micro_filenamestr

The definition file of the microproblem.

regionRegion or array

The macroscopic region to be recovered. If array, the centers of microscopic RVEs (Representative Volume Element) are assumed to be stored in it. If Region, the RVE centers are computed according to region_mode, see below.

macrodict of arrays or tuples

Either macroscopic values (if array) or the tuple (mode, eval_var, nodal_values) is expected. The tuple is used to evaluate the macroscopic values in given points of RVEs (see ‘eval_mode`). mode can be ‘val’, ‘grad’, ‘div’, or ‘cauchy_strain’.

eps0float

The size of the microstructures (RVE).

region_mode{‘el_centers’, ‘tiled’}

If ‘el_centers’, the RVE centers are identical to the element centers of the macroscopic FE mesh. If ‘tiled’, the recovered region is tiled by rescaled RVEs.

eval_mode{‘constant’, ‘continuous’}

If ‘constant’, the macroscopic fields are evaluated only at the RVE centers. If ‘continuous’, the fields are evaluated at all points of the RVE mesh.

eval_varslist of variables

The list of variables use to evaluate the macroscopic fields.

corrsdict of CorrSolution

The correctors for recovery.

recovery_file_tagstr

The tag which is appended to the output file.

define_argsdict

The define arguments for the microscopic problem.

output_dirstr

The output directory.

verbosebool

The verbose terminal output.

sfepy.homogenization.recovery.recover_paraflow(problem, micro_problem, region, ts, strain, dstrains, pressures1, pressures2, corrs_rs, corrs_time_rs, corrs_alpha1, corrs_time_alpha1, corrs_alpha2, corrs_time_alpha2, var_names, naming_scheme='step_iel')[source]
sfepy.homogenization.recovery.save_recovery_region(mac_pb, rname, filename=None)[source]