Application of Bayesian model calibration to numerical modeling of existing bridges for seismic design

2015 Fiscal Year Final Research Report

• Project/Area Number: 25820203
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Structural engineering/Earthquake engineering/Maintenance management engineering
• Research Institution: Yokohama National University
• Principal Investigator: Nishio Mayuko 横浜国立大学, 都市イノベーション研究院, 准教授 (00586795)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 既存橋梁 / 有限要素モデル / 事後分布 / ベイズ推定 / モデルV&V / 橋梁振動 / 計測

Outline of Final Research Achievements

In the modeling of existing bridges, the uncertainties of model parameters due to deteriorations, seismic loading histories, and other factors during their operations must be considered to obtain validated numerical models for several applications, such as the seismic reinforcement design, the reliability analysis of existing bridges. In this study, the applicability of posterior distributions of model parameters, which were derived by the Bayesian inference by using measurement dynamic data, to those applications in the existing bridges was shown by several verifications with actual target bridges and the experimental study.

Free Research Field

構造工学・地震工学・維持管理工学