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Application of Descriptive Sampling & Metamodeling Methods for Optimal Design and Robustness of Vehicle Structures

The application of well established technologies such as Numerical Optimization and Monte Carlo simulation to a realistic vehicle system impact problem is addressed. An investigation of a limited set of design space metamodeling and sampling procedures is performed. The complete study is performed in a High Performance Computing (HPC) environment thereby addressing several of the high fidelity simulation, problem dimensionality, and computational infrastructure bottlenecks in engineering design. The recent advancements in HPC technology, especially massively concurrent processing, is enabling effective deployment of simpler procedures for design optimization and robustness studies of large-scale, vehicle systems. In addition, the low cost of HPC technology combined with the superior value derived from application of these design methodologies mandates their usage as a natural component of a vehicle system “best” design practice.