Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Refinement of nonlinear seismic response analysis model for bridges using data assimilation technology
Yusuke NISHIZAWA, Hiroyasu MIURA, Devin GUNAWAN, Noa IGARASHI, Naoki SOGABE, Nobuyuki IWAMAE, Keigo TAMANO, Kazuyuki NAKAMURA
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JOURNAL OPEN ACCESS

2024 Volume 5 Issue 3 Pages 42-52

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Abstract

Quantitative structural evaluation using measurement data is essential for realizing resilient infrastructure, but the operation of many measuring instruments is a heavy burden. Therefore, in this study, we proposed a method to refine a nonlinear analysis model during an earthquake from measured values at some points using SIS, which is a type of data assimilation. Numerical experiments on a virtual bridge showed that the stiffness of a member, which decreases due to plasticization of the pier base, can be estimated from the acceleration response at one point on the bridge girder with an average error of 21.4%. We also confirmed that the vertical component of the acceleration response is effective as a measured value, and that the rela- tionship between the estimation point and the measurement point affects the estimation accuracy. Further- more, we proposed a method for creating a measurement plan using the proposed method and a flow for assessing the health of bridges during earthquakes.

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© 2024 Japan Society of Civil Engineers
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