Locating and quantifying structure damage using spatial wavelet packet signature

Chih-Chen Chang; Zhi Sun

doi:10.1117/12.482769

18 August 2003 Locating and quantifying structure damage using spatial wavelet packet signature

Chih-Chen Chang, Zhi Sun

Proceedings Volume 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures; (2003) https://doi.org/10.1117/12.482769
Event: Smart Structures and Materials, 2003, San Diego, California, United States

Abstract

The use of dynamic response to identify damage location and extent of civil engineering structures has been an increasing research focus in recent years. Most of the vibration-based damage assessment methods developed till now require modal properties that are obtained via the traditional Fourier transform. Unfortunately, these Fourier-based modal properties, such as natural frequencies, mode shapes, etc., have been reported to be insensitive to structural damage and hence are not regarded as good damage indicators. In this paper, a novel structural condition index, wavelet packet signature (WPS), is proposed for locating and quantifying structure damage. After extracting the WPS from the response measured at various locations, the spatial distribution curvature of the WPS is used for locating damage. A numerical study on a simply supported beam shows that, according to the difference of the spatial WPS distribution curvature, the damage position can be accurately located and the damage severity can be qualitatively assessed. One special advantage of the proposed method is it does not require an accurate analytical model of the structure been monitored and is very suitable for practical application.

Citation Download Citation

Chih-Chen Chang and Zhi Sun "Locating and quantifying structure damage using spatial wavelet packet signature", Proc. SPIE 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures, (18 August 2003); https://doi.org/10.1117/12.482769

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