Global sensitivity analysis in the identi cation of cohesive models using full- eld kinematic data

Global sensitivity analysis in the identi cation of cohesive models using full- eld kinematic data

Alfano, Marco; Lubineau, Gilles; Paulino, Glaucio H.

Abstract:

The analysis of damage and fracture in engineering structures is e ectively carried out using the cohesive zone model (CZM). The successful use of the CZM requires the precise determination of the traction-separation relation. The recent progress in image processing prompted the development of versatile inverse parameter identi cation procedures combining Finite Element simulations and full eld kinematic data. Our focus is to assess the e ectiveness of these methods in the identi cation of cohesive zone models. In particular, the analysis is developed in the framework of the variance based global sensitivity analysis. The sensitivity of kinematic data to the sought cohesive properties is explored through the computation of the so-called Sobol sensitivity indexes. The results show that the global sensitivity analysis can help to ascertain the most in uential cohesive parameters. In addition, it is shown that suitable displacement sampling in time and space can lead to optimized measurements for identi cation purposes.

The analysis of damage and fracture in engineering structures is e ectively carried out using the cohesive zone model (CZM). The successful use of the CZM requires the precise determination of the traction-separation relation. The recent progress in image processing prompted the development of versatile inverse parameter identi cation procedures combining Finite Element simulations and full eld kinematic data. Our focus is to assess the e ectiveness of these methods in the identi cation of cohesive zone models. In particular, the analysis is developed in the framework of the variance based global sensitivity analysis. The sensitivity of kinematic data to the sought cohesive properties is explored through the computation of the so-called Sobol sensitivity indexes. The results show that the global sensitivity analysis can help to ascertain the most in uential cohesive parameters. In addition, it is shown that suitable displacement sampling in time and space can lead to optimized measurements for identi cation purposes.

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Como citar:

Alfano, Marco; Lubineau, Gilles; Paulino, Glaucio H.; "Global sensitivity analysis in the identi cation of cohesive models using full- eld kinematic data", p-29-29. In: Proceedings of the 13th International Symposium on Multiscale, Multifunctional and Functionally Graded Materials [=Blucher Material Science Proceedings, v.1, n.1]. São Paulo: Blucher, 2014.
ISSN 23589337, DOI