Moment-Based Hybrid Polynomial Chaos Method for Interval and Random Uncertain Analysis of Periodical Composite Structural-Acoustic System with Multi-Scale Parameters
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作者:
Chen, Ning
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Cent South Univ Changsha, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R ChinaCent South Univ Changsha, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China
Chen, Ning
[1
]
Chen, Jiaojiao
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Cent South Univ Changsha, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R ChinaCent South Univ Changsha, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China
Chen, Jiaojiao
[1
]
Yin, Shengwen
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Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R ChinaCent South Univ Changsha, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China
Yin, Shengwen
[2
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机构:
[1] Cent South Univ Changsha, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China
[2] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
An interval and random moment-based arbitrary polynomial chaos method (IRMAPCM) is proposed in this paper for the analysis of periodical composite structural-acoustic systems with multi-scale uncertain-but-bounded parameters. In IRMAPCM, the response of structural-acoustic system is approximated as moment-based arbitrary polynomial chaos (maPC) expansion. IRMAPCM can construct the polynomial basis according to the moment of the random variable without knowing the Probability Density Function (PDF), which can avoid the errors introduced by estimating the PDF. Numerical examples of a hexahedral box and an automobile passenger compartment are given to investigate the effectiveness of IRMAPCM for the prediction of the sound pressure response of structural-acoustic systems.