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Proceedings Paper

Structural damage identification using adaptive immune clonal selection algorithm and acceleration data
Author(s): R. Li; A. Mita
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Paper Abstract

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.

Paper Details

Date Published: 18 April 2011
PDF: 10 pages
Proc. SPIE 7981, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011, 79815A (18 April 2011); doi: 10.1117/12.879782
Show Author Affiliations
R. Li, Keio Univ. (Japan)
A. Mita, Keio Univ. (Japan)


Published in SPIE Proceedings Vol. 7981:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
Masayoshi Tomizuka, Editor(s)

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