Discrete inclusion models for reinforced composites: Comparative performance analysis and modeling challenges
We report the results of a comparative analysis of mesh independent discrete inclusion models and point out some shortcomings of classical approaches in the approximation of the strain field across an inclusion (artificial continuity) and the slip profile along an inclusion (oscillatory behavior). W...
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Veröffentlicht in: | Computer methods in applied mechanics and engineering 2019-10, Vol.355, p.535-557 |
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description | We report the results of a comparative analysis of mesh independent discrete inclusion models and point out some shortcomings of classical approaches in the approximation of the strain field across an inclusion (artificial continuity) and the slip profile along an inclusion (oscillatory behavior). We also present novel embedded reinforcement models based on partition of unity enrichment strategies, adaptive h-refinement, and order/regularity extensions. These novel models are assessed by means of mesh convergence studies and it is shown that they improve the quality of the solution by significantly decreasing local spurious oscillations in the slip profile along an inclusion.
•Embedded reinforcement models are reviewed.•Classical embedded reinforcement models show spurious oscillations in slip profiles.•Improved versions of classical models are proposed.•Weak discontinuity and order/regularity extension effectively reduce oscillations. |
doi_str_mv | 10.1016/j.cma.2019.06.026 |
format | Article |
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•Embedded reinforcement models are reviewed.•Classical embedded reinforcement models show spurious oscillations in slip profiles.•Improved versions of classical models are proposed.•Weak discontinuity and order/regularity extension effectively reduce oscillations.</description><subject>Embedded reinforcement</subject><subject>Fiber-reinforced composite</subject><subject>Finite element method</subject><subject>Non-smooth slip profile</subject><subject>Platelet inclusion</subject><subject>Slip</subject><issn>0045-7825</issn><issn>1879-2138</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtqwzAQRUVpoenjA7oTdG1Xkm1ZblclfUKgm-yFMhqnMrblSk4gf1-FdN3ZzDDcO9w5hNxxlnPG5UOXw2BywXiTM5kzIc_Igqu6yQQv1DlZMFZWWa1EdUmuYuxYKsXFggwvLkLAGakbod9F50c6eIt9pK0PNKAbUwe0FPww-ehmjI90mWYTzOz2SCcMSTGYEZCa0fSH6GIa7OmMG7cUvk3f47jFeEMuWtNHvP3r12T99rpefmSrr_fP5fMqg0JUc1ZvrGyEAigqhdJWWBZVbbkBYaWqhGIyZS82pbSl4m1aAnIoWdPWXG6wLq7J_ensFPzPDuOsO78LKVvUQqimkk1T86TiJxUEH2PAVk_BDSYcNGf6CFV3OkHVR6iaSZ2gJs_TyZMA4d5h0BEcptetCwiztt794_4FC_WBGw</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Goudarzi, M.</creator><creator>Simone, A.</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><orcidid>https://orcid.org/0000-0002-7321-3432</orcidid></search><sort><creationdate>20191001</creationdate><title>Discrete inclusion models for reinforced composites: Comparative performance analysis and modeling challenges</title><author>Goudarzi, M. ; Simone, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-7bd6928cc358e6d5e4357d1ac2d68528068123b46d481f2d6ce1c409f716be73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Embedded reinforcement</topic><topic>Fiber-reinforced composite</topic><topic>Finite element method</topic><topic>Non-smooth slip profile</topic><topic>Platelet inclusion</topic><topic>Slip</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goudarzi, M.</creatorcontrib><creatorcontrib>Simone, A.</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>Goudarzi, M.</au><au>Simone, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discrete inclusion models for reinforced composites: Comparative performance analysis and modeling challenges</atitle><jtitle>Computer methods in applied mechanics and engineering</jtitle><date>2019-10-01</date><risdate>2019</risdate><volume>355</volume><spage>535</spage><epage>557</epage><pages>535-557</pages><issn>0045-7825</issn><eissn>1879-2138</eissn><abstract>We report the results of a comparative analysis of mesh independent discrete inclusion models and point out some shortcomings of classical approaches in the approximation of the strain field across an inclusion (artificial continuity) and the slip profile along an inclusion (oscillatory behavior). We also present novel embedded reinforcement models based on partition of unity enrichment strategies, adaptive h-refinement, and order/regularity extensions. These novel models are assessed by means of mesh convergence studies and it is shown that they improve the quality of the solution by significantly decreasing local spurious oscillations in the slip profile along an inclusion.
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subjects | Embedded reinforcement Fiber-reinforced composite Finite element method Non-smooth slip profile Platelet inclusion Slip |
title | Discrete inclusion models for reinforced composites: Comparative performance analysis and modeling challenges |
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