This study presents an experimental verification of a structural damage recognition technique based on a fiber Bragg grating array and a back propagation neural network. A flat plate was designed and fabricated for these experiments. The plate structure was loaded using a lever and a weight, and damage was introduced by putting a hole in the plate. Data was collected for the healthy and damaged cases when the load was applied at different positions on the plate. The neural network was able to identify damage to the plate. This approach for damage detection is useful when a static load can be applied at multiple points on a structure.
Yanbiao, L. ( 2000). Fiber Optics, pp. 131-217, Publishing Company of Tsinghua University Beijing, China.
2.
Cheng, L.K. and Oostdijck, B.W. ( 2002). High-speed structural monitoring using a fiber Bragg grating sensor system. IEEE, 1, 215-218.
3.
Todd, M.D., Johnson, G.A. and Vohra, S.T. ( 2001). Deployment of a fiber Bragg grating-based measurement system in a structural health monitoring application. Smart Material and Structures, 10, 534-539.
4.
Morey, W.W., Meltz, G. and Glenn, W.H. ( 1989). Fiber optic Bragg grating sensors. SPIE Proceedings, 1169, 98-107.
5.
Suwen, C. and Guoqiang, L. ( 2001). Application of artificial neural network in structural damage recognition. Vibration, Measurement and Diagnosis, 21(2), 116-125.
6.
Xinglin, G. and Jianlin, C. ( 2002). Structural damage detection based on neural network technology . Journal of Dalian University of Technology, 45(2), 269-276.
7.
Bosheng, W. ( 1999). Study on critical problems of structural damage recognition with neural network, pp. 16-36.
8.
Dongliang, Z. , Zhongfu, L. and Hongxing, H. (2002). Developmental trend and actuality of structural early damage recognition technology. Vibration and Strike, 21(2), 1-8.
9.
Kudva, J.N., Munir, N. and Tan, P.W. ( 1991). Damage detection in smart structures using neural networks and finite element analysis. In: Proceedings of ADPA/AIAA/ ASME/SPIE Conference on Active Materials and Adeptive Structures , pp. 559-562.
