Work place: Department of Civil Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran
E-mail: a.tabatabai@iauctb.ac.ir
Website:
Research Interests: Mathematics, Discrete Mathematics, Mathematics of Computing, Computational Mathematics
Biography
A. A. Tabatabei, is a professor of Mathematics, in the Department of Fundamental Science, College of Technical and Engineering, Islamic Azad University of Tehran, Iran. His research focus is on pure mathematics topics. He is author of several books in mathematics, and he has several papers in the valuable journals and conferences.
By H. Rouhollah Pour J. Asgari Marnani A. A. Tabatabei
DOI: https://doi.org/10.5815/ijigsp.2018.04.01, Pub. Date: 8 Apr. 2018
The first step in Structures Health Monitoring (SHM), are determining the location, intensity and type of damage in structures. Crack is a damage that often occurs in structural elements and may cause serious ruptures in the structure. One of the important approaches is the wavelet analysis of vibration modes structures. In this study, it has been performed the crack detection method in steel cantilever beam structure, using an optimized wavelet-based model. The wavelet analysis has been performed based on the higher orders of the structure’s mode shapes. The results show that the proposed method is able to accurately detect all kinds of cracks, in which the cracks location are variable. In this study also, cracks with length of 20%, 10%, 5% and 2% of the beam’s depth have been considered and one of the most prominent results is introducing a method for detecting robust and environmental noisy cracks. The proposed method is capable of accurately detecting crack in the cantilever beams in noisy conditions about 20 dB of SNR.
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