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ROAD SIMULATION TEST RANDOM SPECRTRUM PLUS WINDOWS RECONSTRUCTION METHOD

Authors :
WANG YiRong
YU JiaWei
LUAN ShiJie
ZHENG SongLin
LI YuXiao
JIN Qing
Source :
Jixie qiangdu, Vol 42, Pp 954-959 (2020)
Publication Year :
2020
Publisher :
Editorial Office of Journal of Mechanical Strength, 2020.

Abstract

Using the damage editing theory,the random spectrum of road simulation test can be compiled to achieve the purpose of removing the small load and achieving the accelerated test. However,less literature dealed with the key technical issues of how to smoothly connect and reconstruct the retained payload fragments after the small payload is removed. In this paper,a random spectrum connection and reconstruction method based on signal windowing overlap is proposed. Comparing the effects of several common window functions on the connection reconstruction of measured random spectra,it is found that the Hanning window not only effectively solve the problem of smooth connection reconstruction of two-stage signals,but also does not introduce extreme load. Based on the measured load of a vehicle test field,combined with the time domain damage editing method,the experimental acceleration spectrum was constructed by using the Hanning window method. The validity and rationality of the windowed spectrum were analyzed from the amplitude and frequency domains. It is verified that the windowed spectrum completely retains the damage of the non-windowed spectrum and the power spectral density curves of the two are highly coincident. Finally,the vehicle simulation experiment is established by applying the accelerated spectrum. The experimental response spectrum is highly consistent with the target spectrum,and the effectiveness of the method is verified.

Details

Language :
Chinese
ISSN :
10019669
Volume :
42
Database :
Directory of Open Access Journals
Journal :
Jixie qiangdu
Publication Type :
Academic Journal
Accession number :
edsdoj.95d6a2be822f4011bbb5aac915dcfecf
Document Type :
article
Full Text :
https://doi.org/10.16579/j.issn.1001.9669.2020.04.031