Communication Dans Un Congrès Année : 2024

Optimising test sequences for robust material identification using a data assimilation approach

Résumé

This study investigates the optimisation of test sequences for robust material identification. Traditional approaches for constitutive behaviour characterisation usually consist in a sequence of independent identification problems, each one considering one single experiment and a small subset of parameters. Conversely, data assimilation approaches consider all measurements stemming from all experiments at once. This work demonstrates the potential of data assimilation to improve multiple parameters identification by optimising the experimental set-up of the tests sequence.
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Dates et versions

hal-04928428 , version 1 (04-02-2025)

Identifiants

  • HAL Id : hal-04928428 , version 1

Citer

M Guerder, R Bouclier, J C Passieux, J N Périé, L Barrière. Optimising test sequences for robust material identification using a data assimilation approach. PhotoMechanics 2024 – International DIC Society 2024 Conference, Oct 2024, Clermont-Ferrand, France. ⟨hal-04928428⟩
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