Structural damage detection based on wavelet transform in strain energy signal processing

Pengbo Wang

doi:10.1117/12.2300344

19 December 2017 Structural damage detection based on wavelet transform in strain energy signal processing

Pengbo Wang

Proceedings Volume 10613, 2017 International Conference on Robotics and Machine Vision; 106130G (2017) https://doi.org/10.1117/12.2300344
Event: Second International Conference on Robotics and Machine Vision, 2017, Kitakyushu, Japan

Abstract

Structural damage detection is of great significance for engineering applications. Most damage detection methods are vibration-based methods. In this paper, we propose a method for damage detection of structures under static loads. The wavelet transform technique is introduced in the spatially distributed strain energy signal processing. We can use the singularity of wavelet coefficients to determine the damaged location. Numerical examples under four cases of damages are provided to illustrate the applicability of the proposed method. We use the element stiffness reduction to simulate the damage. The results of the damaged cases have indicated that the different damage locations in a structure can be precisely determined using the proposed method. The damage detection method proposed in this paper can be introduced for engineering applications.

Citation Download Citation

Pengbo Wang "Structural damage detection based on wavelet transform in strain energy signal processing", Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130G (19 December 2017); https://doi.org/10.1117/12.2300344

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