High performance computing for multidisciplinary design optimization and robustness of vehicle structures

Abstract

This chapter presents a paper that deals with the application of multidisciplinary design optimization (MDO) and robustness design methods to automotive vehicle structures in a massively concurrent processing environment. High-performance computing (HPC) and surrogate modeling methods are utilized to facilitate vehicle studies in a realistic time-frame to impact vehicle design cycle. Rigorous MDO and robustness design strategies are critical to delivering high-quality products at low costs. The effective implementation of multidisciplinary design optimization and robustness design strategies necessitates engineering process integration across a heterogeneous computing environment. Recent advancements in HPC technology, especially in massively concurrent processing, is enabling effective deployment of simpler procedures for design optimization and robustness studies of large-scale vehicle systems.