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Bayesian Inference Based Uncertainty Quantification and Calibration of Numerical Models of Existing Structures
ベイズ推定による既存構造物数値モデルの不確定性定量化とキャリブレーション
2013
Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM))
ベイズ推定による既存構造物数値モデルの不確定性定量化とキャリブレーション
博(工) 横浜国立大学准教授 都市イノベーション研究院(〒240-8501 神奈川県横浜市保土ヶ谷区常盤台 79-5) ** Ph.D. 東京大学教授 工学系研究科社会基盤学専攻(〒113-8656 東京都文京区本郷 7-3-1) This paper presents the Bayesian inference based model calibration strategy for constructing validated numerical models of the existing structures. There exist uncertain changes in the model parameters, such as material properties and boundary conditions, from the nominal condition due to deteriorations or possible damages in the existing structures. The target in this study was
doi:10.2208/jscejam.69.i_711
fatcat:lzmmxwzinffs5mpmb4pghyvlai