A Histogram-Based Algorithm for Concrete Infrastructures Destruction Detection

Abstract

In this article, to detect dam destruction, statistical analysis of recorded observations was used. The efficiency of the introduced method is estimated by numerical simulations. The acceleration measurements in different nodes are obtained in both damaged and intact cases after implementing of three earthquake records with low, middle, and high frequencies, respectively. The statistical segmentation of measurements is performed based on a histogram framework. Consequently, a new automatic method is devised based on the zero-order and first-order cumulative momentums to determine the presence of structure destruction. The proposed histogram-based dam detector has been analyzed and simulated in the MATLAB simulator. To do so, the Peak-to-Sidelobe Ratio (PSLR) of the histogram curves is considered as a performance assessment criterion. According to the simulation results, the proposed method has an efficient performance to detect destruction and determine its position in the dam.