PARAMETER IDENTIFICATION OF NON-LINEAR RESPONSE ANALYSIS MODEL FOR FULL-SCALE FIVE STORY WOODEN BUILDING

被引：0

作者：

Namba, Tokikatsu ^{[1
]}

Nakagawa, Takafumi ^{[1
]}

Isoda, Hiroshi ^{[1
]}

Inayama, Masahiro ^{[2
]}

Tamura, Akira ^{[3
]}

Miyata, Yujiro ^{[4
]}

Kado, Yuji ^{[5
]}

机构：

[1] RISH, Kyoto Univ.

[2] Holzstr Co., Ltd.

[3] Technology Development Section, Product Development Dept., AQ Group Co., Ltd.

[4] Faculty of Engineering and Design, Hosei Univ.

来源：

AIJ Journal of Technology and Design | 2025年 / 31卷 / 77期

关键词：

Interpretable machine learning; Nonlinear response; Parameter identification; Quality engineering; Wooden building;

D O I：

10.3130/aijt.31.222

中图分类号：

学科分类号：

摘要：

In this paper, parameter identification using interpretable machine learning and quality engineering is applied to a shaking table test data of a full-scale 5-story wooden structure. The following results are shown; 1) By the parameter identification for detailed analysis model, good agreement with experimental result is obtained. 2) It was confirmed that the difference between the analytical results and the experimental results becomes smaller when the capacity of some walls and other elements was increased. © 2025 Architectural Institute of Japan. All rights reserved.

引用

页码：222 / 227

页数：5

共 13 条

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[3]

Namba Tokikatsu, Nakagawa Takafumi, Kado Yuji, Isoda Hiroshi, Takino Atsuo, Data Assimilation Method of Full-Scale Shaking Table Tests of Wooden Houses

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