Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties
With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and more attention. In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-...
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Veröffentlicht in: | Engineering with computers 2022-12, Vol.38 (6), p.5489-5505 |
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description | With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and more attention. In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-mechanical continuum structure under multi-source uncertainties. To this end, a novel coupled thermo-mechanical RBTO model composed of triple-nested loops is first constructed based on fuzzy and probability theories, which aims to deal with the multi-source uncertainty factors, such as temperature rise fluctuation, thermal load variation, material property uncertainty, and manufacture tolerance. Second, a new mixed RBTO approach with single-loop is adopted to eliminate the nested triple loops, which aims to promote computational efficiency. Finally, the effectiveness and high performance of the proposed method are validated through a cantilever beam, clamped beam, and three-dimensional structure. |
doi_str_mv | 10.1007/s00366-022-01662-1 |
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In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-mechanical continuum structure under multi-source uncertainties. To this end, a novel coupled thermo-mechanical RBTO model composed of triple-nested loops is first constructed based on fuzzy and probability theories, which aims to deal with the multi-source uncertainty factors, such as temperature rise fluctuation, thermal load variation, material property uncertainty, and manufacture tolerance. Second, a new mixed RBTO approach with single-loop is adopted to eliminate the nested triple loops, which aims to promote computational efficiency. 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In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-mechanical continuum structure under multi-source uncertainties. To this end, a novel coupled thermo-mechanical RBTO model composed of triple-nested loops is first constructed based on fuzzy and probability theories, which aims to deal with the multi-source uncertainty factors, such as temperature rise fluctuation, thermal load variation, material property uncertainty, and manufacture tolerance. Second, a new mixed RBTO approach with single-loop is adopted to eliminate the nested triple loops, which aims to promote computational efficiency. Finally, the effectiveness and high performance of the proposed method are validated through a cantilever beam, clamped beam, and three-dimensional structure.</description><subject>Boundary conditions</subject><subject>CAE) and Design</subject><subject>Calculus of Variations and Optimal Control; Optimization</subject><subject>Cantilever beams</subject><subject>Civil engineering</subject><subject>Classical Mechanics</subject><subject>Computer Science</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Control</subject><subject>Epistemology</subject><subject>Heat conductivity</subject><subject>Load</subject><subject>Load fluctuation</subject><subject>Material properties</subject><subject>Math. Applications in Chemistry</subject><subject>Mathematical and Computational Engineering</subject><subject>Methods</subject><subject>Nested loops</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Systems Theory</subject><subject>Thermal analysis</subject><subject>Topology optimization</subject><subject>Uncertainty</subject><issn>0177-0667</issn><issn>1435-5663</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtLxDAUhYMoOI7-AVcF19G8ky5l8AUjbnQd0jSdydA2nSRFx19vtYI7Vxcu55x7zwfAJUbXGCF5kxCiQkBECERYCALxEVhgRjnkQtBjsEBYSoiEkKfgLKUdQpgiVC7A_tl_uLqIrvWm8q3PBxiid32eljkMoQ2bQxGG7Dv_abIPfdGEWOSti12AnbNb03tr2iLlONo8RpeKd5-3RTe22cMUxmhdMfbWxWx8n71L5-CkMW1yF79zCd7u715Xj3D98vC0ul1DS1iZYcMbUVJDm4oRUxrlmKRSVY1StSwlU03FS664rIkzFBvFlRBsqq4sw7Xili7B1Zw7xLAfXcp6N33TTyc1kYxjRTBWk4rMKhtDStE1eoi-M_GgMdLfaPWMVk9o9Q9ajScTnU1pEvcbF_-i_3F9AZKHftQ</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Meng, Zeng</creator><creator>Guo, Liangbing</creator><creator>Yıldız, Ali Rıza</creator><creator>Wang, Xuan</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-2485-7095</orcidid></search><sort><creationdate>20221201</creationdate><title>Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties</title><author>Meng, Zeng ; Guo, Liangbing ; Yıldız, Ali Rıza ; Wang, Xuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-f5f693a3fb42a9a8e47378bf88d79748fb595857d2ea31a8586641668c41d85c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Boundary conditions</topic><topic>CAE) and Design</topic><topic>Calculus of Variations and Optimal Control; Optimization</topic><topic>Cantilever beams</topic><topic>Civil engineering</topic><topic>Classical Mechanics</topic><topic>Computer Science</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Control</topic><topic>Epistemology</topic><topic>Heat conductivity</topic><topic>Load</topic><topic>Load fluctuation</topic><topic>Material properties</topic><topic>Math. Applications in Chemistry</topic><topic>Mathematical and Computational Engineering</topic><topic>Methods</topic><topic>Nested loops</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Systems Theory</topic><topic>Thermal analysis</topic><topic>Topology optimization</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meng, Zeng</creatorcontrib><creatorcontrib>Guo, Liangbing</creatorcontrib><creatorcontrib>Yıldız, Ali Rıza</creatorcontrib><creatorcontrib>Wang, Xuan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Engineering with computers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meng, Zeng</au><au>Guo, Liangbing</au><au>Yıldız, Ali Rıza</au><au>Wang, Xuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties</atitle><jtitle>Engineering with computers</jtitle><stitle>Engineering with Computers</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>38</volume><issue>6</issue><spage>5489</spage><epage>5505</epage><pages>5489-5505</pages><issn>0177-0667</issn><eissn>1435-5663</eissn><abstract>With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and more attention. In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-mechanical continuum structure under multi-source uncertainties. To this end, a novel coupled thermo-mechanical RBTO model composed of triple-nested loops is first constructed based on fuzzy and probability theories, which aims to deal with the multi-source uncertainty factors, such as temperature rise fluctuation, thermal load variation, material property uncertainty, and manufacture tolerance. Second, a new mixed RBTO approach with single-loop is adopted to eliminate the nested triple loops, which aims to promote computational efficiency. 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subjects | Boundary conditions CAE) and Design Calculus of Variations and Optimal Control Optimization Cantilever beams Civil engineering Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Epistemology Heat conductivity Load Load fluctuation Material properties Math. Applications in Chemistry Mathematical and Computational Engineering Methods Nested loops Optimization Original Article Systems Theory Thermal analysis Topology optimization Uncertainty |
title | Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties |
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