Multiple damage detection in frames using wavelet transforms

5^th International Conference on Steel and Concrete Structures

August 29-30, 2018 Tokyo, Japan

Jalal Akbari

Malayer University, Iran

Scientific Tracks Abstracts: J Steel Struct Constr

Abstract :

Wavelet transforms are convenient tools in the structural health monitoring and damage detection fields. However, these methods have encountered some limitations in practical usage. Thus, signal energy analysis was also used as an alternative technique for damage detection. In this research, firstly, comparison between the wavelet and signal energy methods for frame type structures with different support conditions and multiple damage scenarios has been conducted. Then, Discrete Wavelet Transforms (DWT) and Teager Energy Operator (TEO) have been applied on the curvature of mode shapes of the beams and the locations of the damages have been identified. The results showed that in comparison with discrete wavelet transform signal energy operator has preference. This superiority in detecting the damages, especially near the support of the beam, is obvious and contains enough sensitivity in low damage intensities. Additionally, the damage detection in the cases that the response data is noisy has been investigated. For this purpose, by adding low intensity noises to the curvature of the mode shapes, the abilities of mentioned methods have been evaluated. The results indicated that each method is not individually efficient in recognizing damages in noisy condition, but the combination of them under noisy conditions is more reliable.

Biography :

Jalal Akbari is an Assistant Professor of Civil Engineering at Malayer University since 2008. He spent about one-year (2006-2007) as a Research Scholar at University of Florida (UF) in USA. He has been graduated with PhD from Tarbait Modares University (TMU), Tehran. He has completed his MSc degree in the Civil Engineering field. He has completed his BSc degree in the Civil Engineering field from Bu-Ali Sina University in 1999 in Hamedan.

E-mail: akbari@malayeru.ac.ir