An approach of dynamic response analysis of nonlinear structures based on least square Volterra kernel function identification

Author:

Zhang Zhenhao12,Xiong Jun1ORCID,Zhao Zhenpeng1,Wang Fuming12,Zeng Yi1,Zhao Bing1,Ke Lu23

Affiliation:

1. School of Civil Engineering, Changsha University of Science and Technology , Changsha 410114 , Hunan, China

2. Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University , Nanning 530004 , Guangxi, China

3. College of Civil engineering and Architecture, Guangxi University , Nanning 530004 , Guangxi, China

Abstract

Abstract Analysis of the dynamic response of a complex nonlinear system is always a difficult problem. By using Volterra functional series to describe a nonlinear system, its response analysis can be similar to using Fourier/Laplace transform and linear transfer function method to analyse a linear system's response. In this paper, a dynamic response analysis method for nonlinear systems based on Volterra series is developed. Firstly, the recursive formula of the least square method is established to solve the Volterra kernel function vector, and the corresponding MATLAB programme is compiled. Then, the Volterra kernel vector corresponding to the nonlinear response of a structure under seismic excitation is identified, and the accuracy and applicability of using the kernel vector to predict the response of a nonlinear structure are analysed. The results show that the Volterra kernel function identified by the derived recursive formula can accurately describe the nonlinear response characteristics of a structure under an excitation. For a general nonlinear system, the first three order Volterra kernel function can relatively accurately express its nonlinear response characteristics. In addition, the obtained Volterra kernel function can be used to accurately predict the nonlinear response of a structure under the similar type of dynamic load.

Funder

National Key Research and Development programme of China

Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University

Natural Science Foundation of Changsha City, China

Publisher

Oxford University Press (OUP)

Subject

Engineering (miscellaneous),Safety, Risk, Reliability and Quality,Control and Systems Engineering

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