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Damage detection of 3D structures using nearest neighbor search method

Earthquake Engineering and Engineering Vibration 2021年第3期20卷 705-725页

作者： Ali Abasi vahid harsij Ahmad Soraghi Department of Civil and Environmental Engineering Western UniversityLondonONCanada Department of Civil Engineering Amirkabir University of Technology(Tehran Polytechnic)TehranIran Department of Civil Engineering University of AkronASEC 210Sumner StAkronOH 44325USA

An innovative damage identification method using the nearest neighbor search method to assess 3D structures is *** frequency response function was employed as the input parameters to detect the severity and place of damage in 3D spaces since it includes the most dynamic characteristics of the ***-dimensional principal component analysis was utilized to reduce the size of the frequency response function *** nearest neighbor search method was employed to detect the severity and location of damage in different damage *** accuracy of the approach was verified using measured data from an experimental test;moreover,two asymmetric 3D numerical examples were considered as the numerical *** superiority of the method was demonstrated through comparison with the results of damage identification by using artificial neural *** levels of white Gaussian noise were used for polluting the frequency response function data to investigate the robustness of the methods against noise-polluted *** results indicate that both methods can efficiently detect the damage properties including its severity and location with high accuracy in the absence of noise,but the nearest neighbor search method is more robust against noisy data than the artificial neural network.

关键词： damage identification damage index frequency response function two-dimensional principal component analysis nearest neighbor search artificial neural network white Gaussian noise

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