## Abstract The parameters of a constitutive model are usually identified by minimization of the distance between model response and experimental data. However, measurement failures and differences in the specimens lead to deviations in the determined parameters. In this article we present our resu
Identification of material parameters for inelastic constitutive models: statistical analysis and design of experiments
β Scribed by T. Harth; S. Schwan; J. Lehn; F.G. Kollmann
- Book ID
- 108147262
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 551 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0749-6419
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This paper presents an automated system for parameter identification of inelastic constitutive models. The system can find good approximate parameters for various identification problems under a user-friendly environment. In order to identify parameters efficiently and in a robust manner, an optimis
## Abstract The paper summarizes the comprehensive experience of the authors in the numerical identification and estimation of parameters for anisotropic elastoplastic material laws analyzing inhomogeneous mechanical fields. Generally, the constitutive model under consideration represents a system