Damage Detection in Steel Plates Based on Comparing Analytical Results of the Discrete 2-D Wavelet Transform of Primary and Secondary Modes Shape

Abstract

Damage occurrence is always inevitable in structures. So far, many examples of damage types in engineering structures have been recorded with many losses of human and financial. For this reason, the detecting of structural damages during its exploitation to provide safety with the lowest cost has been the subject of many researchers in the last two decades. In this regard, the wavelet transform is a powerful mathematical tool for signal processing, has attracted the attention of many researchers in the field of health monitoring of structures. In this paper, due to the increase of steel plate shear wall in the building industry, it was considered the problem of detecting the location of the damage in steel plates. In this paper, due to the increase of steel plate shear wall in the building industry, it was considered the problem of detecting the location of the damage in steel plates. At first, the steel plate was modeled in ABAQUS finite element software with free support conditions, and then the healthy and damaged first eight mode shape was extracted. The primary and secondary modes shape was analyzed using discrete two-dimensional wavelet transform as a two-dimensional spatial signal. The results of the diagonal details of the wavelet analysis of secondary modes shape show the turbulence of the wavelet coefficients, compared with primary modes shape in damage locations; so that, wavelet analysis of the modes shape of the first mode, show damage location with the better equivalence of wavelet coefficients and the error of less than 6%.

Keywords

• wavelet transform
• signal processing
• structural health monitoring
• steel plate
• mode shape
• damage detection