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Proceedings Paper

Guided wave propagation based damage detection in welded rectangular tubular structures
Author(s): Xi Lu; M. Y. Lu; L. M. Zhou; Z. Q. Su; Li Cheng; Lin Ye; Guang Meng
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Paper Abstract

Guided wave based methods have shown great potential to practical use and have been the object of many researches for structural health monitoring (SHM). In this paper, a welded steel structure with rectangular section, which is almost 1:1 scale model for a bogie frame segment of train, is investigated by using both finite element method (FEM) and experimental analysis for the purpose of damage detection. Finite element models are established to simulate the propagation behavior of guided waves in the structure. An active actuator/sensor network is employed to generate guided waves propagating in the structures and collect response signals. Excitations at selected frequency are used to minimize the effect of the intrinsic multi-mode phenomenon of guided waves on the consequent signal interpretation. Modern signal processing approaches, such as continuous wavelet transform (CWT) and Hilbert transform (HT), are applied to all collected signals. An algorithm based on the concept of damage presence probability (DPP) is proposed for estimation of damage location. The results indicate that the recommended guided wave propagation based approach is reasonable for damage detection in such kind of structures.

Paper Details

Date Published: 21 October 2009
PDF: 8 pages
Proc. SPIE 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering, 749313 (21 October 2009); doi: 10.1117/12.838679
Show Author Affiliations
Xi Lu, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Shanghai Jiao Tong Univ. (China)
M. Y. Lu, The Hong Kong Polytechnic Univ. (Hong Kong, China)
L. M. Zhou, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Z. Q. Su, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Li Cheng, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Lin Ye, The Hong Kong Polytechnic Univ. (Hong Kong, China)
The Univ. of Sydney (Australia)
Guang Meng, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 7493:
Second International Conference on Smart Materials and Nanotechnology in Engineering

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