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		题名	作者	年代	出处	被引量
	1	土木工程系统辨识统计方法的现状与展望显示文摘土木工程由于内在材料的离散性,结构体系的复杂性,外在环境因素的随机性,有必要引入统计方法来进行面向健康监测的损伤辨识。探讨了土木工程系统辨识的定义,分析了现有研究中与统计方法相关的Bayesian统计、随机有限元、统计模式辨识、损伤特征辨识的统计描述及其他等五类研究;根据土木工程系统辨识的特点与已有研究,展望了统计方法进一步的研究前景与方向。	李炜明董莪朱宏平	2012	振动与冲击2012，31，11：	7
	2	Damage detection of 3D structures using nearest neighbor search method显示文摘An innovative damage identification method using the nearest neighbor search method to assess 3D structures is presented.The 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 structures.Two-dimensional principal component analysis was utilized to reduce the size of the frequency response function data.The nearest neighbor search method was employed to detect the severity and location of damage in different damage scenarios.The accuracy of the approach was verified using measured data from an experimental test;moreover,two asymmetric 3D numerical examples were considered as the numerical study.The superiority of the method was demonstrated through comparison with the results of damage identification by using artificial neural network.Different levels of white Gaussian noise were used for polluting the frequency response function data to investigate the robustness of the methods against noise-polluted data.The 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.	Ali Abasi Vahid Harsij Ahmad Soraghi	2021	Earthquake Engineering and Engineering Vibration2021，20，3：	1

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