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.
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