Automatic calibration of 3D anisotropic yield criteria using a parallel evolutionary algorithm

Abstract

Advanced 3D non-quadratic anisotropic yield criteria are usually required to describe highly anisotropic materials such as aluminium alloys. One issue related to the advanced anisotropic yield criteria is that they often require the identification of many parameters that are difficult to calibrate. An automatic and reliable technique for the determination of the coefficients of 3D anisotropic yield criteria is presented here. The error between predictions and experimental data is minimised by finding the yield criteria coefficients using a modification of the evolutionary algorithm described in (Pedroso et al. 2017 Applied Soft Computing 61 995-1012). The method is implemented for parallel computation to both speed up calculations and to make sure the results are consistent after several runs. The results show that the proposed method can produce good coefficients for the 3D anisotropic yield criteria.