Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150735
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dc.contributor.authorWang, Leien_US
dc.contributor.authorLiu, Dongliangen_US
dc.contributor.authorYang, Yaowenen_US
dc.contributor.authorHu, Juxien_US
dc.date.accessioned2021-06-08T03:59:08Z-
dc.date.available2021-06-08T03:59:08Z-
dc.date.issued2019-
dc.identifier.citationWang, L., Liu, D., Yang, Y. & Hu, J. (2019). Novel methodology of non-probabilistic reliability-based topology optimization (NRBTO) for multi-material layout design via interval and convex mixed uncertainties. Computer Methods in Applied Mechanics and Engineering, 346, 550-573. https://dx.doi.org/10.1016/j.cma.2018.11.035en_US
dc.identifier.issn0045-7825en_US
dc.identifier.other0000-0003-0300-1423-
dc.identifier.urihttps://hdl.handle.net/10356/150735-
dc.description.abstractThis paper proposes an efficient topology optimization strategy for seeking the optimal layout of multi-material structures with mixed uncertainties of interval and convexity. In conjunction with the safety criterion for local displacement and the extended power-law interpolation scheme for the material property, the task of the optimization problem is formulated as to minimize the total volume of different materials while satisfying reliability requirement. By introducing the set-theoretical convex method, uncertainty quantification analysis under mixture of interval and convex uncertainties is firstly conducted for exploring boundary rules of considered responses. Combined with the area-ratio principle and the shortest distance judgment, a novel reliability index with favorable mathematical characteristics is then defined. Moreover, for guarantee the computational efficiency as well as the iterative convergence, the adjoint-variable model is also established and the investigated minimization issue can be solved by a gradient-based optimization algorithm. Eventually, several numerical applications are given to demonstrate the validity and reasonability of the present topology optimization methodology.en_US
dc.language.isoenen_US
dc.relation.ispartofComputer Methods in Applied Mechanics and Engineeringen_US
dc.rights© 2018 Elsevier B.V. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleNovel methodology of non-probabilistic reliability-based topology optimization (NRBTO) for multi-material layout design via interval and convex mixed uncertaintiesen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.identifier.doi10.1016/j.cma.2018.11.035-
dc.identifier.scopus2-s2.0-85058945667-
dc.identifier.volume346en_US
dc.identifier.spage550en_US
dc.identifier.epage573en_US
dc.subject.keywordsMulti-material Structuresen_US
dc.subject.keywordsReliability-based Topology Optimizationen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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