主催: 一般社団法人 日本機械学会
会議名: 第37回 計算力学講演会
開催日: 2024/10/18 - 2024/10/20
An estimation method for unknown constitutive parameters of elasto-viscoplasticity material models by constructing a database that consists of results of finite element analysis is developed. Recently, a Bayesian approach to estimate accurately material properties from data of a single spherical indentation test has been proposed. In this study, we aim to improve generality of the identification method by increasing the number of parameters to be estimated and verify the validity of the material parameter values estimated using spherical indentation test data. Identification of four material properties was attempted, but the data did not differ in the range of small values for the strain sensitivity index, and the identification could not be performed with sufficiently high accuracy. In selecting the parameters to be estimated, it is necessary to fully verify the sensitivity of the parameters to the data used for Bayesian estimation.