Parameter identification of a non-associative elastoplastic constitutive model using ANN and multi-objective optimization

• DOI: 10.1007/s12289-009-0392-1
• Publication Date: 2009-03-03T10:51:50Z
• Authors: H. Aguir; A. Chamekh; H. BelHadjSalah; A. Dogui; R. Hambli
• Keywords: 02 engineering and technology; 0210 nano-technology

This paper deals with the identification of material parameters using a hybrid method of multi-objective optimization. This approach was used in a previous work to identify the Hill’48 criterion under the associative normality assumption and the Voce law hardening parameters of the Stainless Steel AISI 304. In this work, we apply the proposed method in order to identify the orthotropic criterion of Hill’48 under the non-associative normality assumption. The two models are compared and analysed using several experimental tests.