FUNDAMENTAL EFFECTIVENESS OF STRUCTURAL DAMAGE IDENTIFICATION USING GENETIC ALGORITHM
Author:
Affiliation:
1. Graduate School of Agriculture, Kyoto University
Publisher
Japan Society of Civil Engineers
Link
https://www.jstage.jst.go.jp/article/jscej1984/2004/760/2004_760_269/_pdf
Reference11 articles.
1. 1) Mita, A. and Takahira, S.: A Smart sensor using mechanical memory for structural health monitoring of a damage-controlled building, Smart Mater. Struct, Vol. 12, pp. 204-209, 2003.
2. 2) Kawahara, K., Miyamoto, A., Nakamura, H., and Ono, M.: Development of maintenance strategy support system for bridge management system (BMS), J. Const. Management Eng., JSCE, Vol. 48, No. 658, pp. 121-139, 2000 (in Japanese).
3. 3) Chen, H. L., Spyrakos, C. C., and Venkatesh, G.: Evaluating structural deterioration by dynamic response, J. Struct. Eng., ASCE, Vol. 121, pp 1197-1204, 1995.
4. 4) Doebling, H. L., Farrar, C. R., Prime, M. B., and Shevits, D. W.: Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review, Research Rep., No. LA-13070-MS, ESA-EA, Los Alamos National Laboratory, 1996.
5. 5) Pothisiri, T. and Hjelmstad, K. D.: Structural damage detection and assessment from modal response, J. Eng. Mech., ASCE, Vol. 129, pp135-145, 2003.
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