Damage Detection of Structures Using Blind Source Separation and Multifractal Detrend Fluctuation Analysis

Document Type : Research Article


Assistant Professor, Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran


In this paper, a damage detection technique is proposed based on multifractal detrended fluctuation analysis and blind source separation. In the first stage, the accuracy of three methods of blind source separation is compared and the most efficient method in decomposing structural vibration signals is selected. These methods include blind modal identification, combined method, and sparse coding. Three structural models are employed to investigate the  of the procedures which consists of a range of numerical SDOF models with a limited degree of freedom to real structures. In the second stage, a damage index is proposed based on the width of the multifractal spectrum. Results show that the aforementioned method can identify various damage patterns and can detect slight damages.


Main Subjects

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