Efficient and robust stress integration algorithm for anisotropic distortional hardening law under cross-loading with latent hardening

A fast and robust stress-update algorithm based on the general cutting-plane method (GCPM) was developed for a distortional hardening model, known as the HAH-DPS model. It captures the anisotropic hardening behaviors such as the Bauschinger effect, transient hardening, differential permanent softening, and cross-loading effects. The lower computational efficiency of the direct application of GCPM was rectified by considering the allevolutionary plastic state variables during iterations. The newly proposed algorithm was formulated on the dependence of the equivalent plastic strain and the other state variables defined in the distortional hardening model. And it was implemented in a commercial finite element software using a user-defined material subroutine (UMAT). Finite element simulations under strain-path change were carried out to demonstrate the performance of the new numerical algorithm in terms of the convergence behavior locally as well as globally.

Automated summary

This study developed a fast and robust stress-update algorithm based on the general cutting-plane method for a distortional hardening model, and rectified the lower computational efficiency issue by considering the evolutionary plastic state variables. The algorithm was formulated on the dependence of the equivalent plastic strain and other state variables defined in the distortional hardening model, and implemented in a commercial finite element software using a user-defined material subroutine.