Hybrid uncertainty propagation in structural-acoustic systems based on the polynomial chaos expansion and dimension-wise analysis
Hybrid uncertainties are ubiquitous in the structural-acoustic analysis and greatly affect the behaviors of the coupled system. However, requirements of small uncertainties and rewriting simulation codes for the numerical analysis are always necessary for current methods. In this context, a non-intr...
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Veröffentlicht in: | Computer methods in applied mechanics and engineering 2017-06, Vol.320, p.198-217 |
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creator | Xu, Menghui Du, Jianke Wang, Chong Li, Yunlong |
description | Hybrid uncertainties are ubiquitous in the structural-acoustic analysis and greatly affect the behaviors of the coupled system. However, requirements of small uncertainties and rewriting simulation codes for the numerical analysis are always necessary for current methods. In this context, a non-intrusive dual-layer analysis procedure, i.e. a hybrid method of the polynomial chaos expansion and dimension-wise analysis (PCE-DW), is proposed in this paper. The PCE procedure based on the sparse grid collocation strategy is utilized to handle the random uncertainty while the DW procedure is employed to evaluate the interval bounds of statistical characteristics of the system response. The PCE-DW also applies to the structural-acoustic analysis with only random or interval parameters. The investigation of two structural-acoustic systems with hybrid uncertainties finally demonstrates the accuracy, efficiency and capability of the proposed method.
•The hybrid uncertainty propagation in structural-acoustic systems is accomplished.•Requirement of small uncertainties for current methods is greatly relaxed.•Integration with any existing numerical software without rewriting codes is simple.•PCE-DW applies to the structural-acoustic analysis with random or interval parameters. |
doi_str_mv | 10.1016/j.cma.2017.03.026 |
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•The hybrid uncertainty propagation in structural-acoustic systems is accomplished.•Requirement of small uncertainties for current methods is greatly relaxed.•Integration with any existing numerical software without rewriting codes is simple.•PCE-DW applies to the structural-acoustic analysis with random or interval parameters.</description><subject>Accuracy</subject><subject>Acoustic coupling</subject><subject>Acoustic propagation</subject><subject>Collocation</subject><subject>Computer simulation</subject><subject>Dimension-wise analysis</subject><subject>Hybrid systems</subject><subject>Interval parameters</subject><subject>Numerical analysis</subject><subject>Parameter uncertainty</subject><subject>Polynomial chaos expansion</subject><subject>Random parameters</subject><subject>Structural-acoustic systems</subject><subject>Studies</subject><subject>Uncertainty</subject><subject>Uncertainty analysis</subject><issn>0045-7825</issn><issn>1879-2138</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kEFr3DAQhUVpINskPyA3Qc92JdmyveRUljYpBHJJzmJWGme12Jajkdv6mH9ebbfnzmWY4b3HzMfYrRSlFLL5ciztCKUSsi1FVQrVfGAb2bXbQsmq-8g2QtS6aDulL9knoqPI1Um1Ye8P6z56x5fJYkzgp7TyOYYZXiH5MHE_cUpxsWmJMBRgw0LJW04rJRyJ74HQ8axLB-RzGNYpjB4Gbg8QiOPvGSY6xcDkuPMj_p2KX54wr2BYydM1u-hhILz516_Yy_dvz7uH4vHp_sfu62NhK6VTAbWzutVOQYt1Z7GxugaHuq5wq7HqeqtqIbHfNtj2-95ip6GpoBdCQt_aprpin8-5-b23BSmZY1hiPoKM3Cotc3its0qeVTYGooi9maMfIa5GCnMibY4mkzYn0kZUJpPOnruzB_P5Pz1GQ9ZjBup8RJuMC_4_7j9mi4ro</recordid><startdate>20170615</startdate><enddate>20170615</enddate><creator>Xu, Menghui</creator><creator>Du, Jianke</creator><creator>Wang, Chong</creator><creator>Li, Yunlong</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20170615</creationdate><title>Hybrid uncertainty propagation in structural-acoustic systems based on the polynomial chaos expansion and dimension-wise analysis</title><author>Xu, Menghui ; Du, Jianke ; Wang, Chong ; Li, Yunlong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-a4dc575d2a7e48ce6c54ade543e95e38fc2401ef96e7fbfce85a63af001af7c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accuracy</topic><topic>Acoustic coupling</topic><topic>Acoustic propagation</topic><topic>Collocation</topic><topic>Computer simulation</topic><topic>Dimension-wise analysis</topic><topic>Hybrid systems</topic><topic>Interval parameters</topic><topic>Numerical analysis</topic><topic>Parameter uncertainty</topic><topic>Polynomial chaos expansion</topic><topic>Random parameters</topic><topic>Structural-acoustic systems</topic><topic>Studies</topic><topic>Uncertainty</topic><topic>Uncertainty analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Menghui</creatorcontrib><creatorcontrib>Du, Jianke</creatorcontrib><creatorcontrib>Wang, Chong</creatorcontrib><creatorcontrib>Li, Yunlong</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer methods in applied mechanics and engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Menghui</au><au>Du, Jianke</au><au>Wang, Chong</au><au>Li, Yunlong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hybrid uncertainty propagation in structural-acoustic systems based on the polynomial chaos expansion and dimension-wise analysis</atitle><jtitle>Computer methods in applied mechanics and engineering</jtitle><date>2017-06-15</date><risdate>2017</risdate><volume>320</volume><spage>198</spage><epage>217</epage><pages>198-217</pages><issn>0045-7825</issn><eissn>1879-2138</eissn><abstract>Hybrid uncertainties are ubiquitous in the structural-acoustic analysis and greatly affect the behaviors of the coupled system. However, requirements of small uncertainties and rewriting simulation codes for the numerical analysis are always necessary for current methods. In this context, a non-intrusive dual-layer analysis procedure, i.e. a hybrid method of the polynomial chaos expansion and dimension-wise analysis (PCE-DW), is proposed in this paper. The PCE procedure based on the sparse grid collocation strategy is utilized to handle the random uncertainty while the DW procedure is employed to evaluate the interval bounds of statistical characteristics of the system response. The PCE-DW also applies to the structural-acoustic analysis with only random or interval parameters. The investigation of two structural-acoustic systems with hybrid uncertainties finally demonstrates the accuracy, efficiency and capability of the proposed method.
•The hybrid uncertainty propagation in structural-acoustic systems is accomplished.•Requirement of small uncertainties for current methods is greatly relaxed.•Integration with any existing numerical software without rewriting codes is simple.•PCE-DW applies to the structural-acoustic analysis with random or interval parameters.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.cma.2017.03.026</doi><tpages>20</tpages></addata></record> |
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subjects | Accuracy Acoustic coupling Acoustic propagation Collocation Computer simulation Dimension-wise analysis Hybrid systems Interval parameters Numerical analysis Parameter uncertainty Polynomial chaos expansion Random parameters Structural-acoustic systems Studies Uncertainty Uncertainty analysis |
title | Hybrid uncertainty propagation in structural-acoustic systems based on the polynomial chaos expansion and dimension-wise analysis |
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