Structural damage identification using adaptive immune clonal selection algorithm and acceleration data

R. Li, A. Mita

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In order to identify damage of civil engineering structures precisely and efficiently, an approach for damage identification by employing Adaptive Immune Clonal Selection Algorithm (AICSA) is proposed. By utilizing secondary response, adaptive mutation regulation and vaccination operator, AICSA achieves the dynamic control of evolution process, which realizes global optimal computing combined with the local searching. Compared with basic clonal selection algorithm, AICSA improves convergence rate and global optimum searching ability. The experimental results show that AICSA can efficiently and precisely identify single and multiple damages of civil engineering structures respect to different damage location, extent and measurement noise.

本文言語English
ホスト出版物のタイトルSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
DOI
出版ステータスPublished - 2011 5 26
イベントSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011 - San Diego, CA, United States
継続期間: 2011 3 72011 3 10

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
7981
ISSN(印刷版)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
国/地域United States
CitySan Diego, CA
Period11/3/711/3/10

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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