J045081 ニューラルネットによる構造物のヘルスモニタリング : 構造損傷同定のための情報の検討(〔J045-08〕知的材料・構造システム(8))

• 花原 和之

  神戸大学大学院システム情報学研究科

• 多田 幸生

  神戸大学大学院システム情報学研究科

書誌事項

タイトル別名

• J045081 Structural Health Monitoring by Means of Neural Network : Consideration on Information Required for Damage Identification

抄録

Health monitoring is an important issue especially for a structural system being in operation for a long time. In this study, we deal with an approach to damage identification of structural system by means of a multi-layered neural network. The approach is based on the change in some specific characteristics caused by the damage of the structural members. The relation between the damage and the characteristics is implemented with a multi-layered neural network; the error back-propagation with fixed connection weight is adopted to solve the inverse problem for the damage identification. We discuss the type of characteristics used for the damage identification. Numerical experiments with truss structures are conducted and the feasibility of the proposed approach is demonstrated.

収録刊行物

• 年次大会

  年次大会 2013 (0), _J045081-1-_J045081-4, 2013

  一般社団法人 日本機械学会

キーワード

• Damage Identification
• Health Monitoring
• Neural Network
• Inverse Problem
• Structure
• Truss

詳細情報

• CRID: 1390001205839485952
• NII論文ID: 110009934750
• DOI: 10.1299/jsmemecj.2013._j045081-1
• ISSN: 24242667
• Web Site: https://www.jstage.jst.go.jp/article/jsmemecj/2013/0/2013__J045081-1/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可