Hybrid immune algorithm for structural health monitoring using acceleration data

R. Li, A. Mita

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In order to detect and identify damage of civil engineering structures precisely and efficiently, an approach for damage detection by employing hybrid immune algorithm combined with Negative Selection (NS) and Clonal Selection Algorithm (CSA) is proposed. NS and CSA play different roles in this process. The first step is to create a detector set by using normal acceleration data as input. The second step is to use negative selection algorithm to detect and localize the damage of the structure. At last, CSA will quantify the damage severity of the structure. The experimental results of an 8-story shear frame structure indicated that this hybrid immune algorithm can efficiently and precisely detect, localize and quantify damage of civil engineering structures with different damage location, extent and measurement noise.

本文言語English
ホスト出版物のタイトルStructural Health Monitoring 2011
ホスト出版物のサブタイトルCondition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
ページ1095-1102
ページ数8
出版ステータスPublished - 2011
イベント8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Stanford, CA, United States
継続期間: 2011 9月 132011 9月 15

出版物シリーズ

名前Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
1

Other

Other8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures
国/地域United States
CityStanford, CA
Period11/9/1311/9/15

ASJC Scopus subject areas

  • 土木構造工学

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