Parameter Estimation for Elastic-Plastic Finite Element Analysis using Ensemble Smoother with Multiple Data Assimilation

Abstract

Data assimilation is a technique for estimating uncertain parameters and states in a simulation by integrating observed data into a numerical simulation. In this study, the applicability of the data assimilation algorithm, Ensemble Smoother with Data Assimilation (ES-MDA), to parameter estimation in elastoplastic finite element analysis was verified through twin experiments using pseudo-observational data. The results confirm the applicability of ES-MDA to parameter estimation in elastic-plastic finite element analysis.