To read this content please select one of the options below:

Frequency domain analysis method of nonstationary random vibration based on evolutionary spectral representation

Yan Zhao (State Key Laboratory of Structural Analysis for Industrial Equipment, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian, China)
L.T. Si (State Key Laboratory of Structural Analysis for Industrial Equipment, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian, China)
H. Ouyang (School of Engineering, University of Liverpool, Liverpool, UK)

Engineering Computations

ISSN: 0264-4401

Article publication date: 16 April 2018

197

Abstract

Purpose

A novel frequency domain approach, which combines the pseudo excitation method modified by the authors and multi-domain Fourier transform (PEM-FT), is proposed for analyzing nonstationary random vibration in this paper.

Design/methodology/approach

For a structure subjected to a nonstationary random excitation, the closed-form solution of evolutionary power spectral density of the response is derived in frequency domain.

Findings

The deterministic process and random process in an evolutionary spectrum are separated effectively using this method during the analysis of nonstationary random vibration of a linear damped system, only modulation function of the system needs to be estimated, which brings about a large saving in computational time.

Originality/value

The method is general and highly flexible as it can deal with various damping types and nonstationary random excitations with different modulation functions.

Keywords

Acknowledgements

The authors are grateful for support under grants from the National Science Foundation of China (11772084), from the National Basic Research Program of China (2015CB057804) and the Dalian University of Technology Start-Up Fund (DUT16RC(3)027).

Citation

Zhao, Y., Si, L.T. and Ouyang, H. (2018), "Frequency domain analysis method of nonstationary random vibration based on evolutionary spectral representation", Engineering Computations, Vol. 35 No. 2, pp. 1098-1127. https://doi.org/10.1108/EC-06-2017-0219

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles