Abstract
This paper presents an application of wavelet analysis for damage detection in steel structures. Wavelet analysis is a new mathematical and advanced signal processing tool that can be used to analyze the vibration data and the damage in the structure can be identified. It is found that spikes in the wavelet occurs either by damage or striking on the structure. The observed spikes in wavelet pattern are used for damage detection in multistory structures. A software application is developed that can process up to six sensors data and can locate the exact location of the damage. The application of Continuous Daubechies (Db8) wavelet in damage identification proved to be more robust in detecting the damage location. The experiments were conducted on a five-story steel structure at the CSIR-CBRI, Roorkee, India to verify the proposed method using two types of accelerometers.
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Patel, C., Panigrahi, S.K., Chourasia, A., Roy, T.B., Bagchi, A., Tirca, L. (2020). Wavelet Transformation Approach for Damage Identification of Steel Structure Model. In: Chakraverty, S., Biswas, P. (eds) Recent Trends in Wave Mechanics and Vibrations. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-0287-3_18
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DOI: https://doi.org/10.1007/978-981-15-0287-3_18
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