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Hyper-reduction of mechanical models involving internal variables. (English) Zbl 1195.74299
Summary: We propose to improve the efficiency of the computation of the reduced-state variables related to a given reduced basis. This basis is supposed to be built by using the snapshot proper orthogonal decomposition (POD) model reduction method. In the framework of nonlinear mechanical problems involving internal variables, the local integration of the constitutive laws can dramatically limit the computational savings provided by the reduction of the order of the model. This drawback is due to the fact that, using a Galerkin formulation, the size of the reduced basis has no effect on the complexity of the constitutive equations. In this paper we show how a reduced-basis approximation and a Petrov-Galerkin formulation enable to reduce the computational effort related to the internal variables. The key concept is a reduced integration domain where the integration of the constitutive equations is performed. The local computations being not made over the entire domain, we extrapolate the computed internal variable over the full domain using POD vectors related to the internal variables. This paper shows the improvement of the computational saving obtained by the hyper-reduction of the elasto-plastic model of a simple structure.

MSC:
74S30 Other numerical methods in solid mechanics (MSC2010)
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