On the Robustness of a Simple Domain Reduction Scheme for Simulation-Based Optimization
Nielen Stander, K.J. Craig
This paper presents the SRSM approach, a simulation-driven optimization framework using parametric modeling and adaptive response surfaces. It enables efficient shape optimization even in the presence of noise and nonlinearity by reducing the design domain based on predictive criteria. Engineering examples, including crash and impact simulations, show its effectiveness in converging to robust, high-performance designs.