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정민호(Min-Ho Jeong),량티에이(Tie-Yi Liang),양현익(Hyun-Ik Yang),박경진(Gyung-Jin Park) 한국자동차공학회 2022 한국 자동차공학회논문집 Vol.30 No.12
A parameter identification method of nonlinear dynamic systems is proposed. The error function of the finite element model is defined by the given input/output data and is minimized through structural optimization. In general, nonlinear dynamic response optimization is costly. This study uses the equivalent static load method to perform nonlinear dynamic response optimization for the identification. After identification is completed, the error function is reduced since the simulation value is close to the experimental value. Eventually, the finite element model becomes more accurate. The proposed method is applied to three numerical examples. The results indicate that the proposed method can minimize the model error through parameter identification.