EXASTEEL: Towards a Virtual Laboratory for the Multiscale Simulation of Dual-Phase Steel Using High-Performance Computing
Lecture Notes in Computational Science and Engineering
We present a numerical two-scale simulation approach of the Nakajima test for dual-phase steel using the software package FE2TI, a highly scalable implementation of the well known homogenization method FE 2 . We consider the incorporation of contact constraints using the penalty method as well as the sample sheet geometries and adequate boundary conditions. Additional software features such as a simple load step strategy and prediction of an initial value by linear extrapolation are introduced.
... The macroscopic material behavior of dual-phase steel strongly depends on its microstructure and has to be incorporated for an accurate solution. For a reasonable computational effort, the concept of statistically similar representative volume A. Klawonn ( ) · M. Lanser · M. Uran A. Klawonn et al. elements (SSRVEs) is presented. Furthermore, the highly scalable nonlinear domain decomposition methods NL-FETI-DP and nonlinear BDDC are introduced and weak scaling results are shown. These methods can be used, e.g., for the solution of the microscopic problems. Additionally, some remarks on sparse direct solvers are given, especially to PARDISO. Finally, we come up with a computationally derived Forming Limit Curve (FLC). to [. . . ] [the] paradigm shift from sequential or just moderately parallel to massively parallel processing" and thereby to "advance the frontier of parallel computing"  . From the beginning, SPPEXA aimed at a true co-design, i.e., closely connecting "computer science with the needs of Computational Science and Engineering (CSE) and HPC"  . The project EXASTEEL addresses three of the main SPPEXA research areas, namely computational algorithms, application software, and programming, i.e., we have, e.g., introduced new nonlinear solver algorithms, implemented our multiscale application software FE2TI, and applied hybrid programming and performance engineering to our codes. This work was only possible in close collaboration of mathematics, computer science, and engineering.