Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion

A vibration transfer analysis method based on polynomial chaos expansion (PCE) is proposed in this study and is used to analyze the stochastic dynamic compliance of uncertain systems with the Gaussian distribution. The random dynamic compliance is established by utilizing mode superposition on the s...

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Main Authors: Bin Xiao, Yu-long Zhou, Chao Gao, Shuang-Xia Shi, Ze-Xi Sun, Zong-biao Song
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2020/8074351
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author Bin Xiao
Yu-long Zhou
Chao Gao
Shuang-Xia Shi
Ze-Xi Sun
Zong-biao Song
author_facet Bin Xiao
Yu-long Zhou
Chao Gao
Shuang-Xia Shi
Ze-Xi Sun
Zong-biao Song
author_sort Bin Xiao
collection DOAJ
description A vibration transfer analysis method based on polynomial chaos expansion (PCE) is proposed in this study and is used to analyze the stochastic dynamic compliance of uncertain systems with the Gaussian distribution. The random dynamic compliance is established by utilizing mode superposition on the system as the parameters of system uncertainties are regarded as input variables. Considering the asymptotic probability density function of mode shape, the dynamic compliance is decomposed into the mean of mode shape and the subsystem represented as an orthogonal polynomial expansion. Following this, the vibration transmission analysis approach is proposed for the random vibration. Results of a numerical simulation carried out employing the PCE approach show that broad-band spectrum analysis is more effective than narrow-band spectrum analysis because the former jump of the dynamic compliance amplitude is weakened. This proposed approach is valid and feasible, but since broad-band spectrum analysis loses some important information about the random vibration, both the aforementioned processes need to simultaneously be applied to analyze the random vibration transmission of low-medium frequency systems.
format Article
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institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-013584f7918f427ba279a0067a6789102025-02-03T01:04:07ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/80743518074351Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos ExpansionBin Xiao0Yu-long Zhou1Chao Gao2Shuang-Xia Shi3Ze-Xi Sun4Zong-biao Song5School of Energy and Power Engineering, Northeast Electric Power University, Jilin City, Jilin 132012, ChinaSchool of Energy and Power Engineering, Northeast Electric Power University, Jilin City, Jilin 132012, ChinaSchool of Energy and Power Engineering, Northeast Electric Power University, Jilin City, Jilin 132012, ChinaSchool of Energy and Power Engineering, Northeast Electric Power University, Jilin City, Jilin 132012, ChinaSchool of Energy and Power Engineering, Northeast Electric Power University, Jilin City, Jilin 132012, ChinaSchool of Energy and Power Engineering, Northeast Electric Power University, Jilin City, Jilin 132012, ChinaA vibration transfer analysis method based on polynomial chaos expansion (PCE) is proposed in this study and is used to analyze the stochastic dynamic compliance of uncertain systems with the Gaussian distribution. The random dynamic compliance is established by utilizing mode superposition on the system as the parameters of system uncertainties are regarded as input variables. Considering the asymptotic probability density function of mode shape, the dynamic compliance is decomposed into the mean of mode shape and the subsystem represented as an orthogonal polynomial expansion. Following this, the vibration transmission analysis approach is proposed for the random vibration. Results of a numerical simulation carried out employing the PCE approach show that broad-band spectrum analysis is more effective than narrow-band spectrum analysis because the former jump of the dynamic compliance amplitude is weakened. This proposed approach is valid and feasible, but since broad-band spectrum analysis loses some important information about the random vibration, both the aforementioned processes need to simultaneously be applied to analyze the random vibration transmission of low-medium frequency systems.http://dx.doi.org/10.1155/2020/8074351
spellingShingle Bin Xiao
Yu-long Zhou
Chao Gao
Shuang-Xia Shi
Ze-Xi Sun
Zong-biao Song
Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
Shock and Vibration
title Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
title_full Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
title_fullStr Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
title_full_unstemmed Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
title_short Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
title_sort vibration analysis of driving point system with uncertainties using polynomial chaos expansion
url http://dx.doi.org/10.1155/2020/8074351
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AT shuangxiashi vibrationanalysisofdrivingpointsystemwithuncertaintiesusingpolynomialchaosexpansion
AT zexisun vibrationanalysisofdrivingpointsystemwithuncertaintiesusingpolynomialchaosexpansion
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