Identification of stochastic material properties in multiscale modelling

Wacław Kuś¹ , Tadeusz Burczyński^1,2

¹Silesian University of Technology, Department for Strength of Materials and Computational.
²Cracow University of Technology, Institute of Computer Science, Cracow, Poland.

DOI:

https://doi.org/10.7494/cmms.2011.4.0376

Abstract:

The paper is devoted to multiscale identification of material properties in microscale. The identification process allows one to identify properties (like material constants, geometry) in microscale on the basis of measurements performed for macroscale. The presented approach assumes stochastic material properties in microscale. The identification problem is formulated as minimization of a functional which represents a distance between measured and theoretical values of displacements and strains. The Monte Carlo method combined with the finite element method is used to obtain theoretical displacements and strains values. The identification problem is solved with use of an evolutionary algorithm.

Cite as:

Kuś, W., & Burczyński, T. (2011). Identification of stochastic material properties in multiscale modelling. Computer Methods in Materials Science, 11(4), 524 – 530. https://doi.org/10.7494/cmms.2011.4.0376

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