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    Topology Optimization Using a Hybrid Cellular Automaton Method With Local Control Rules

    Source: Journal of Mechanical Design:;2006:;volume( 128 ):;issue: 006::page 1205
    Author:
    Andrés Tovar
    ,
    Neal M. Patel
    ,
    Glen L. Niebur
    ,
    Mihir Sen
    ,
    John E. Renaud
    DOI: 10.1115/1.2336251
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The hybrid cellular automaton (HCA) algorithm is a methodology developed to simulate the process of structural adaptation in bones. This methodology incorporates a distributed control loop within a structure in which ideally localized sensor cells activate local processes of the formation and resorption of material. With a proper control strategy, this process drives the overall structure to an optimal configuration. The controllers developed in this investigation include two-position, proportional, integral and derivative strategies. The HCA algorithm combines elements of the cellular automaton (CA) paradigm with finite element analysis (FEA). This methodology has proved to be computationally efficient to solve topology optimization problems. The resulting optimal structures are free of numerical instabilities such as the checkerboarding effect. This investigation presents the main features of the HCA algorithm and the influence of different parameters applied during the iterative optimization process.
    keyword(s): Density , Robots , Algorithms , Design , Optimization , Topology , Spectral energy distribution AND Control equipment ,
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      Topology Optimization Using a Hybrid Cellular Automaton Method With Local Control Rules

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    http://yetl.yabesh.ir/yetl1/handle/yetl/134241
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    contributor authorAndrés Tovar
    contributor authorNeal M. Patel
    contributor authorGlen L. Niebur
    contributor authorMihir Sen
    contributor authorJohn E. Renaud
    date accessioned2017-05-09T00:20:51Z
    date available2017-05-09T00:20:51Z
    date copyrightNovember, 2006
    date issued2006
    identifier issn1050-0472
    identifier otherJMDEDB-27837#1205_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/134241
    description abstractThe hybrid cellular automaton (HCA) algorithm is a methodology developed to simulate the process of structural adaptation in bones. This methodology incorporates a distributed control loop within a structure in which ideally localized sensor cells activate local processes of the formation and resorption of material. With a proper control strategy, this process drives the overall structure to an optimal configuration. The controllers developed in this investigation include two-position, proportional, integral and derivative strategies. The HCA algorithm combines elements of the cellular automaton (CA) paradigm with finite element analysis (FEA). This methodology has proved to be computationally efficient to solve topology optimization problems. The resulting optimal structures are free of numerical instabilities such as the checkerboarding effect. This investigation presents the main features of the HCA algorithm and the influence of different parameters applied during the iterative optimization process.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTopology Optimization Using a Hybrid Cellular Automaton Method With Local Control Rules
    typeJournal Paper
    journal volume128
    journal issue6
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.2336251
    journal fristpage1205
    journal lastpage1216
    identifier eissn1528-9001
    keywordsDensity
    keywordsRobots
    keywordsAlgorithms
    keywordsDesign
    keywordsOptimization
    keywordsTopology
    keywordsSpectral energy distribution AND Control equipment
    treeJournal of Mechanical Design:;2006:;volume( 128 ):;issue: 006
    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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