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月 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月 7 → 2011 3月 10 |
出版物シリーズ
| 名前 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 巻 | 7981 |
| ISSN（印刷版） | 0277-786X |
Other
| Other | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011 |
|---|---|
| 国/地域 | United States |
| City | San Diego, CA |
| Period | 11/3/7 → 11/3/10 |
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
UN SDG
この成果は、次の持続可能な開発目標に貢献しています
