Application of Descriptive Monte Carlo Simulation by iSIGHT to Crash Multi-Objective Optimization

Abstract

A new approach based on descriptive Monte-Carlo simulation sampling for non-linear engineering problem, such as crash problems, is presented. The "descriptive" way is known as one of VRTs (Variance Reduction Techniques) in Monte Carlo simulation techniques, and it is aimed to predict mean behavior of a system by less number of sampling points. In this paper, data analysis example connecting to optimization is also presented. Optimization was performed as a multi-objective optimization considering trade-off.