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    Reliability-Based Topology Optimization Using the Virtual Element Method: An Integrated Framework

    Source: Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 007::page 04024075-1
    Author:
    Junho Chun
    DOI: 10.1061/JSENDH.STENG-13071
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces a topology optimization approach based on the virtual element method (VEM), incorporating uncertainties. The objective of this optimization process is to design an optimal material layout for problems governed by linear elasticity equations to minimize the volume while satisfying probabilistic compliance constraints. The VEM is used to solve the boundary value problem in reliability-based topology optimization (RBTO). In the comparison between the VEM and the standard finite element method (FEM), a key difference emerges in the absence of explicitly defined shape functions tied to discrete degrees of freedom in VEM. Unlike FEM, VEM directly constructs the discrete bilinear form and load linear form without the need for computing shape function derivatives within the elements. This flexibility accommodates meshes with intricate geometries and arbitrarily shaped elements. The paper discusses the computational efficiency of VEM RBTO and explores the geometric impact of tessellations on converged topologies, demonstrating reduced susceptibility to checkerboard patterns compared to conventional quadrilateral elements. Additionally, the single-loop approach is examined, showcasing comparable accuracy to the first-order/second-order reliability methods (FORM/SORM) of RBTO using VEM. Numerical results for several problems that demonstrate the feasibility of the proposed method are presented.
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      Reliability-Based Topology Optimization Using the Virtual Element Method: An Integrated Framework

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298187
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    contributor authorJunho Chun
    date accessioned2024-12-24T10:02:30Z
    date available2024-12-24T10:02:30Z
    date copyright7/1/2024 12:00:00 AM
    date issued2024
    identifier otherJSENDH.STENG-13071.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298187
    description abstractThis paper introduces a topology optimization approach based on the virtual element method (VEM), incorporating uncertainties. The objective of this optimization process is to design an optimal material layout for problems governed by linear elasticity equations to minimize the volume while satisfying probabilistic compliance constraints. The VEM is used to solve the boundary value problem in reliability-based topology optimization (RBTO). In the comparison between the VEM and the standard finite element method (FEM), a key difference emerges in the absence of explicitly defined shape functions tied to discrete degrees of freedom in VEM. Unlike FEM, VEM directly constructs the discrete bilinear form and load linear form without the need for computing shape function derivatives within the elements. This flexibility accommodates meshes with intricate geometries and arbitrarily shaped elements. The paper discusses the computational efficiency of VEM RBTO and explores the geometric impact of tessellations on converged topologies, demonstrating reduced susceptibility to checkerboard patterns compared to conventional quadrilateral elements. Additionally, the single-loop approach is examined, showcasing comparable accuracy to the first-order/second-order reliability methods (FORM/SORM) of RBTO using VEM. Numerical results for several problems that demonstrate the feasibility of the proposed method are presented.
    publisherAmerican Society of Civil Engineers
    titleReliability-Based Topology Optimization Using the Virtual Element Method: An Integrated Framework
    typeJournal Article
    journal volume150
    journal issue7
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-13071
    journal fristpage04024075-1
    journal lastpage04024075-18
    page18
    treeJournal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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