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    Bayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via Design-by-Morphing With Large Eddy Simulation

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 008::page 81701-1
    Author:
    Lee, Sangjoon
    ,
    Moazam Sheikh, Haris
    ,
    Lim, Dahyun D.
    ,
    Gu, Grace X.
    ,
    Marcus, Philip S.
    DOI: 10.1115/1.4064413
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A computational approach is presented for optimizing new riblet surface designs in turbulent channel flow for drag reduction, utilizing design-by-morphing (DbM), large Eddy simulation (LES), and Bayesian optimization (BO). The design space is generated using DbM to include a variety of novel riblet surface designs, which are then evaluated using LES to determine their drag-reducing capabilities. The riblet surface geometry and configuration are optimized for maximum drag reduction using the mixed-variable Bayesian optimization (MixMOBO) algorithm. A total of 125 optimization epochs are carried out, resulting in the identification of three optimal riblet surface designs that are comparable to or better than the reference drag reduction rate of 8%. The Bayesian-optimized designs commonly suggest riblet sizes of around 15 wall units, relatively large spacing compared to conventional designs, and spiky tips with notches for the riblets. Our overall optimization process is conducted within a reasonable physical time frame with up to 12-core parallel computing and can be practical for fluid engineering optimization problems that require high-fidelity computational design before materialization.
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      Bayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via Design-by-Morphing With Large Eddy Simulation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4303541
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    contributor authorLee, Sangjoon
    contributor authorMoazam Sheikh, Haris
    contributor authorLim, Dahyun D.
    contributor authorGu, Grace X.
    contributor authorMarcus, Philip S.
    date accessioned2024-12-24T19:13:48Z
    date available2024-12-24T19:13:48Z
    date copyright2/1/2024 12:00:00 AM
    date issued2024
    identifier issn1050-0472
    identifier othermd_146_8_081701.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303541
    description abstractA computational approach is presented for optimizing new riblet surface designs in turbulent channel flow for drag reduction, utilizing design-by-morphing (DbM), large Eddy simulation (LES), and Bayesian optimization (BO). The design space is generated using DbM to include a variety of novel riblet surface designs, which are then evaluated using LES to determine their drag-reducing capabilities. The riblet surface geometry and configuration are optimized for maximum drag reduction using the mixed-variable Bayesian optimization (MixMOBO) algorithm. A total of 125 optimization epochs are carried out, resulting in the identification of three optimal riblet surface designs that are comparable to or better than the reference drag reduction rate of 8%. The Bayesian-optimized designs commonly suggest riblet sizes of around 15 wall units, relatively large spacing compared to conventional designs, and spiky tips with notches for the riblets. Our overall optimization process is conducted within a reasonable physical time frame with up to 12-core parallel computing and can be practical for fluid engineering optimization problems that require high-fidelity computational design before materialization.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleBayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via Design-by-Morphing With Large Eddy Simulation
    typeJournal Paper
    journal volume146
    journal issue8
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4064413
    journal fristpage81701-1
    journal lastpage81701-15
    page15
    treeJournal of Mechanical Design:;2024:;volume( 146 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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