A class of optimal virtual fields for inverse problems in elasticity

This work addresses the identification of nonhomogeneous constitutive parameters from full-field measurements in both linear and nonlinear elasticity, considering incompressible as well as compressible materials. The inverse identification procedure relies on the Virtual Fields Method (VFM), which is based on the principle of virtual work with specifically chosen virtual fields. We propose an optimal class of virtual fields, designed to optimize the reconstruction stability with respect to measurement noise. A series of numerical experiments illustrate the effectiveness of the proposed approach. The method exhibits moderate sensitivity to measurement noise and remains robust even when the boundary conditions are only partially known.

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Publication Details

Journal
Comptes Rendus Mécanique
Published
2026-04-02
DOI
https://doi.org/10.5802/crmeca.361
Primary Topic
Numerical methods in inverse problems
Type
article
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article

A class of optimal virtual fields for inverse problems in elasticity

Sébastien Imperiale, Martin Genet, Nagham Chibli
Comptes Rendus Mécanique
Numerical methods in inverse problems
article

A class of optimal virtual fields for inverse problems in elasticity

Sébastien Imperiale, Martin Genet, Nagham Chibli
article en

Abstract

This work addresses the identification of nonhomogeneous constitutive parameters from full-field measurements in both linear and nonlinear elasticity, considering incompressible as well as compressible materials. The inverse identification procedure relies on the Virtual Fields Method (VFM), which is based on the principle of virtual work with specifically chosen virtual fields. We propose an optimal class of virtual fields, designed to optimize the reconstruction stability with respect to measurement noise. A series of numerical experiments illustrate the effectiveness of the proposed approach. The method exhibits moderate sensitivity to measurement noise and remains robust even when the boundary conditions are only partially known.

Comptes Rendus MécaniqueVol. 354(G1)
Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Centre Inria de Saclay (FR)
Sustainable cities and communities
Openalex Percentile: Top 4%
Numerical methods in inverse problems
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