Interpretable data‐driven modeling of hyperelastic membranes

Author:

Salamatova Victoria12,Liogky Alexey23

Affiliation:

1. Institute for Computer Science and Mathematical Modeling I. M. Sechenov First Moscow State Medical University (Sechenov University) Moscow Russia

2. Scientific Center for Information Technology and Artificial Intelligence Sirius University of Science and Technology Sochi Russia

3. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences Moscow Russia

Abstract

AbstractWe proposed an approach for interpretable data‐driven modeling of an isotropic incompressible hyperelastic membrane deformation. The approach is based on the response functions in terms of the Laplace stretch and the finite element method, where response functions are partial derivatives of a hyperelastic potential with respect to the chosen strain measure. The Laplace stretch as the strain measure allows us to recover directly the response functions from experimental data and construct automatically data‐driven constitutive relations. All needed formulas were obtained explicitly. We tested our approach for membrane inflation with data‐driven constitutive relations based on the perforated membrane extension tests.

Funder

Ministry of Science and Higher Education of the Russian Federation

Russian Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

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