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  1. 学術雑誌掲載済論文
  2. 洋雑誌

Vibration‐based structural state identification by a 1‐dimensional convolutional neural network

https://kitami-it.repo.nii.ac.jp/records/2000035
bb4e5bb0-2412-444e-ab5f-6c31646835ce
名前 / ファイル ライセンス アクション
Comput https://kitami-it.repo.nii.ac.jp/record/2000035/files/Comput Aided Civ Inf. 2019, 34, 822? 839.pdf (1.8 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2021-04-26
タイトル
言語 en
タイトル Vibration‐based structural state identification by a 1‐dimensional convolutional neural network
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 ZHANG, YOUQI

× ZHANG, YOUQI

WEKO 90185

en ZHANG, YOUQI

Search repository
宮森, 保紀

× 宮森, 保紀

WEKO 280
CiNii ID 9000003821187
KAKEN - 研究者検索 00363383

ja 宮森, 保紀

en MIYAMORI, Yasunori

ja-Kana ミヤモリ, ヤスノリ

Search repository
三上, 修一

× 三上, 修一

WEKO 36180
KAKEN - 研究者検索 30113715

ja 三上, 修一

en Mikami, Shuichi

ja-Kana ミカミ, シュウイチ

Search repository
齊藤, 剛彦

× 齊藤, 剛彦

WEKO 310
KAKEN - 研究者検索 70646984

ja 齊藤, 剛彦

ja-Kana サイトウ, タケヒコ

en SAITO, Takehiko

Search repository
抄録
内容記述タイプ Abstract
内容記述 Deep learning has ushered in many breakthroughs in vision‐based detection via convolutional neural networks (CNNs), but the vibration‐based structural damage detection by CNN remains being refined. Thus, this study proposes a simple one‐dimensional CNN that detects tiny local structural stiffness and mass changes, and validates the proposed CNN on actual structures. Three independent acceleration databases are established based on a T‐shaped steel beam, a short steel girder bridge (in test field), and a long steel girder bridge (in service). The raw acceleration data are not pre‐processed and are directly used as the training and validation data. The well‐trained CNN almost perfectly identifies the locations of small local changes in the structural mass and stiffness, demonstrating the high sensitivity of the proposed simple CNN to tiny structural state changes in actual structures. The convolutional kernels and outputs of the convolutional and max pooling layers are visualized and discussed as well.
言語 en
書誌情報 en : Computer‐Aided Civil and Infrastructure Engineering

巻 34, 号 9, p. 822-839, 発行日 2019-09
ISSN
収録物識別子タイプ EISSN
収録物識別子 1467-8667
DOI
関連識別子
識別子タイプ DOI
関連識別子 https://doi.org/10.1111/mice.12447
権利
言語 en
権利情報 This is the peer reviewed version of the following article: Zhang, Y, Miyamori, Y, Mikami, S, Saito, T. Vibration‐based structural state identification by a 1‐dimensional convolutional neural network. Comput Aided Civ Inf. 2019; 34: 822? 839., which has been published in final form at https://doi.org/10.1111/mice.12447. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
出版者
出版者 Wiley
著者版フラグ
値 author
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
リンク Yorozugawa Bridge Database 1/6 State_0
Yorozugawa Bridge Database 2/6 State_1
Yorozugawa Bridge Database 3/6 State_2
Yorozugawa Bridge Database 4/6 State_3
Yorozugawa Bridge Database 5/6 State_4
Yorozugawa Bridge Database 6/6 State_5
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