書誌事項
- タイトル別名
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- STUDY ON FRAGILITY FUNCTION UPDATING FOR PARTITION WALL USING IMAGE PROCESSING AND MONITORING SYSTEM
抄録
<p>A large shaking table test of a steel-framed unit house specimen with a partition wall was conducted to obtain the relationship between the rotation angle (Rot) of a partition wall obtained from the gyro sensor and the inter-story drift ratio (IDR) of the frame. Additionally, damage classification using deep learning was performed from the images obtained by the monitoring camera employed to the shaking table test. Combining the IDR and/or Rot information obtained from the monitoring sensors and the visible damage information obtained from the monitoring cameras (as the damage state of DS1, DS2 and DS3), a method of updating the prepared fragility curve by Bayesian estimation is proposed. Furthermore, possibility of optimizing the prepared fragility curve by applying the appropriate IDR-Rot relation is discussed.</p>
収録刊行物
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- 構造工学論文集B
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構造工学論文集B 68B (0), 261-270, 2022
一般社団法人 日本建築学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390010292923213568
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- ISSN
- 24366285
- 09108033
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- KAKEN
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- 抄録ライセンスフラグ
- 使用可