.. _linear_elasticity-elastodynamic_identification: linear_elasticity/elastodynamic_identification.py ================================================= **Description** The linear elastodynamics solution of an iron plate impact problem with identification of material parameters from simulated measurement data. Find :math:`\ul{u}` such that: .. math:: \int_{\Omega} \rho \ul{v} \pddiff{\ul{u}}{t} + \int_{\Omega} D_{ijkl}\ e_{ij}(\ul{v}) e_{kl}(\ul{u}) = 0 \;, \quad \forall \ul{v} \;, where .. math:: D_{ijkl} = \mu (\delta_{ik} \delta_{jl}+\delta_{il} \delta_{jk}) + \lambda \ \delta_{ij} \delta_{kl} \;, \lambda = E \nu / ((1 + \nu)(1 - 2\nu)), \\ \mu = E / 2(1 + \nu) \;. Usage Examples -------------- - Run without the identification:: sfepy-run sfepy/examples/linear_elasticity/elastodynamic_identification.py sfepy-view output/edi/user_block.h5 -f u:wu:f1e3:p0 1:vw:p0 - Get help:: python3 sfepy/examples/linear_elasticity/elastodynamic_identification.py -h - Run the identification with default parameters, show live plot of convergence and launch ipython shell after the computation:: python3 sfepy/examples/linear_elasticity/elastodynamic_identification.py --plot-log --shell Result figures are in output/edi, if not changed using --output-dir option. - Check the Jacobian matrix by finite differences:: python3 sfepy/examples/linear_elasticity/elastodynamic_identification.py --opt-conf=max_nfev=1 --check-jac --shell - Identify also the damping parameters (zero by default):: python3 sfepy/examples/linear_elasticity/elastodynamic_identification.py --par-names=young,poisson,density,alpha,beta --plot-log --shell See also :ref:`linear_elasticity-elastodynamic`. .. image:: /../doc/images/gallery/linear_elasticity-elastodynamic_identification-res00004.png .. image:: /../doc/images/gallery/linear_elasticity-elastodynamic_identification-pars.png :download:`source code ` .. literalinclude:: /../sfepy/examples/linear_elasticity/elastodynamic_identification.py