A Shape Similarity Recognition Method Using Dimensional Compression Based on Eigenmode Decomposition
Masahiro Okamura · Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu · 2023
In recent years, the speed required for product development has increased significantly over the years. With the increasing levels of sophistication in requirements, data-driven development utilizing past data has been attracting attention in the automotive industry. Compared to physical testing, simulation is characterized by the ease of obtaining information from calculations and analyses, but on the other hand, handling huge amounts of data is a challenging issue. In this paper, a novel process to search for similar behavior of parts of interest from dozens of crash simulation results is proposed with order reduction by modal decomposition techniques.