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发表时间：2022-10-10

发表刊物：振动工程学报

所属单位：建设工程学部

期号：1

页面范围：51-56

ISSN号：1004-4523

摘要：It's important to identify structural modal parameter in time and accurately for structural health monitoring and damage identification. Wavelet analysis is one of the various kinds of identification methods, which has been used in linear and nonlinear system response data since it can decompose signals simultaneously both in time-domain and frequency-domain with adaptive windows. In this paper, the basic theories of continuous wavelet transform are firstly introduced. And then the structural modal parameter identification method based on ridge and skeleton extraction techniques is discussed, following that a novel signal extension method using auto regressive moving average (ARMA) prediction is presented, Finally a numerical simulation is carried out by use of the Benchmark model which was developed by American Society of Civil Engineers (ASCE). The results show that the method presented here can effectively correct end effects errors, and the wavelet transform can identify structural model parameter accurately.

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