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    Topology Optimization of a Three-Dimensional Flexible Multibody System Via Moving Morphable Components

    Source: Journal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 002::page 21010
    Author:
    Sun, Jialiang
    ,
    Tian, Qiang
    ,
    Hu, Haiyan
    DOI: 10.1115/1.4038142
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this work, an efficient topology optimization approach is proposed for a three-dimensional (3D) flexible multibody system (FMBS) undergoing both large overall motion and large deformation. The FMBS of concern is accurately modeled first via the solid element of the absolute nodal coordinate formulation (ANCF), which utilizes both nodal positions and nodal slopes as the generalized coordinates. Furthermore, the analytical formulae of the elastic force vector and the corresponding Jacobian are derived for efficient computation. To deal with the dynamics in the optimization process, the equivalent static load (ESL) method is employed to transform the topology optimization problem of dynamic response into a static one. Besides, the newly developed topology optimization method by moving morphable components (MMC) is used and reevaluated to optimize the 3D FMBS. In the MMC-based framework, a set of morphable structural components serves as the building blocks of optimization and hence greatly reduces the number of design variables. Therefore, the topology optimization approach has a potential to efficiently optimize an FMBS of large scale, especially in 3D cases. Two numerical examples are presented to validate the accuracy of the solid element of ANCF and the efficiency of the proposed optimization methodology, respectively.
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      Topology Optimization of a Three-Dimensional Flexible Multibody System Via Moving Morphable Components

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4253765
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    contributor authorSun, Jialiang
    contributor authorTian, Qiang
    contributor authorHu, Haiyan
    date accessioned2019-02-28T11:12:06Z
    date available2019-02-28T11:12:06Z
    date copyright11/9/2017 12:00:00 AM
    date issued2018
    identifier issn1555-1415
    identifier othercnd_013_02_021010.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253765
    description abstractIn this work, an efficient topology optimization approach is proposed for a three-dimensional (3D) flexible multibody system (FMBS) undergoing both large overall motion and large deformation. The FMBS of concern is accurately modeled first via the solid element of the absolute nodal coordinate formulation (ANCF), which utilizes both nodal positions and nodal slopes as the generalized coordinates. Furthermore, the analytical formulae of the elastic force vector and the corresponding Jacobian are derived for efficient computation. To deal with the dynamics in the optimization process, the equivalent static load (ESL) method is employed to transform the topology optimization problem of dynamic response into a static one. Besides, the newly developed topology optimization method by moving morphable components (MMC) is used and reevaluated to optimize the 3D FMBS. In the MMC-based framework, a set of morphable structural components serves as the building blocks of optimization and hence greatly reduces the number of design variables. Therefore, the topology optimization approach has a potential to efficiently optimize an FMBS of large scale, especially in 3D cases. Two numerical examples are presented to validate the accuracy of the solid element of ANCF and the efficiency of the proposed optimization methodology, respectively.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTopology Optimization of a Three-Dimensional Flexible Multibody System Via Moving Morphable Components
    typeJournal Paper
    journal volume13
    journal issue2
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4038142
    journal fristpage21010
    journal lastpage021010-11
    treeJournal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 002
    contenttypeFulltext
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