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    Hierarchical Multiscale Modeling of Tire–Soil Interaction for Off-Road Mobility Simulation

    Source: Journal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 006::page 61007
    Author:
    Yamashita, Hiroki
    ,
    Chen, Guanchu
    ,
    Ruan, Yeefeng
    ,
    Jayakumar, Paramsothy
    ,
    Sugiyama, Hiroyuki
    DOI: 10.1115/1.4042510
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: A high-fidelity computational terrain dynamics model plays a crucial role in accurate vehicle mobility performance prediction under various maneuvering scenarios on deformable terrain. Although many computational models have been proposed using either finite element (FE) or discrete element (DE) approaches, phenomenological constitutive assumptions in FE soil models make the modeling of complex granular terrain behavior very difficult and DE soil models are computationally intensive, especially when considering a wide range of terrain. To address the limitations of existing deformable terrain models, this paper presents a hierarchical FE–DE multiscale tire–soil interaction simulation capability that can be integrated in the monolithic multibody dynamics solver for high-fidelity off-road mobility simulation using high-performance computing (HPC) techniques. It is demonstrated that computational cost is substantially lowered by the multiscale soil model as compared to the corresponding pure DE model while maintaining the solution accuracy. The multiscale tire–soil interaction model is validated against the soil bin mobility test data under various wheel load and tire inflation pressure conditions, thereby demonstrating the potential of the proposed method for resolving challenging vehicle-terrain interaction problems.
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      Hierarchical Multiscale Modeling of Tire–Soil Interaction for Off-Road Mobility Simulation

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    contributor authorYamashita, Hiroki
    contributor authorChen, Guanchu
    contributor authorRuan, Yeefeng
    contributor authorJayakumar, Paramsothy
    contributor authorSugiyama, Hiroyuki
    date accessioned2019-09-18T09:06:54Z
    date available2019-09-18T09:06:54Z
    date copyright4/8/2019 12:00:00 AM
    date issued2019
    identifier issn1555-1415
    identifier othercnd_014_06_061007.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259020
    description abstractA high-fidelity computational terrain dynamics model plays a crucial role in accurate vehicle mobility performance prediction under various maneuvering scenarios on deformable terrain. Although many computational models have been proposed using either finite element (FE) or discrete element (DE) approaches, phenomenological constitutive assumptions in FE soil models make the modeling of complex granular terrain behavior very difficult and DE soil models are computationally intensive, especially when considering a wide range of terrain. To address the limitations of existing deformable terrain models, this paper presents a hierarchical FE–DE multiscale tire–soil interaction simulation capability that can be integrated in the monolithic multibody dynamics solver for high-fidelity off-road mobility simulation using high-performance computing (HPC) techniques. It is demonstrated that computational cost is substantially lowered by the multiscale soil model as compared to the corresponding pure DE model while maintaining the solution accuracy. The multiscale tire–soil interaction model is validated against the soil bin mobility test data under various wheel load and tire inflation pressure conditions, thereby demonstrating the potential of the proposed method for resolving challenging vehicle-terrain interaction problems.
    publisherAmerican Society of Mechanical Engineers (ASME)
    titleHierarchical Multiscale Modeling of Tire–Soil Interaction for Off-Road Mobility Simulation
    typeJournal Paper
    journal volume14
    journal issue6
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4042510
    journal fristpage61007
    journal lastpage061007-11
    treeJournal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;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
    yabeshDSpacePersian