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    Cross Wind Effects on Vehicle–Track Interactions: A Methodology for Dynamic Model Construction

    Source: Journal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 003::page 31003
    Author:
    Xu, Lei
    ,
    Zhai, Wanming
    DOI: 10.1115/1.4042142
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An efficient and accurate model for the dynamic assessment of vehicle-track behavior subjected to cross wind actions is developed in this paper, where the wind–vehicle–track interaction is regarded as a coupled vibration system. First, a vehicle–track interaction model is proposed by taking the hypotheses of wheel/rail rigid contact and displacement complementarity. Unlike explicit force-based methods, the vehicle-track systems are wholly coupled by interaction matrices and load vectors, which are computationally more efficient than most of the existing methods and fairly accurate in low frequency vibrations. Then, the fluctuating cross winds are simulated by the fast Fourier transform technique from spectral representations with the consideration of spatial correlation of multipoint wind time histories and vehicle movement. The unsteady cross wind forces are obtained by introducing weighting function. Finally, a modeling framework, with the coupled interactions between cross winds, vehicle, and the tracks included, is built effectively. Through the validated dynamic model, the cross wind effects on vehicle-track dynamic performance can be fully revealed. Besides, it is concluded that the dynamic performance of vehicle-track systems differs significantly in various excitation modes, i.e., average cross wind, fluctuating cross wind, and track irregularities.
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      Cross Wind Effects on Vehicle–Track Interactions: A Methodology for Dynamic Model Construction

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4256841
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    contributor authorXu, Lei
    contributor authorZhai, Wanming
    date accessioned2019-03-17T11:14:51Z
    date available2019-03-17T11:14:51Z
    date copyright1/11/2019 12:00:00 AM
    date issued2019
    identifier issn1555-1415
    identifier othercnd_014_03_031003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256841
    description abstractAn efficient and accurate model for the dynamic assessment of vehicle-track behavior subjected to cross wind actions is developed in this paper, where the wind–vehicle–track interaction is regarded as a coupled vibration system. First, a vehicle–track interaction model is proposed by taking the hypotheses of wheel/rail rigid contact and displacement complementarity. Unlike explicit force-based methods, the vehicle-track systems are wholly coupled by interaction matrices and load vectors, which are computationally more efficient than most of the existing methods and fairly accurate in low frequency vibrations. Then, the fluctuating cross winds are simulated by the fast Fourier transform technique from spectral representations with the consideration of spatial correlation of multipoint wind time histories and vehicle movement. The unsteady cross wind forces are obtained by introducing weighting function. Finally, a modeling framework, with the coupled interactions between cross winds, vehicle, and the tracks included, is built effectively. Through the validated dynamic model, the cross wind effects on vehicle-track dynamic performance can be fully revealed. Besides, it is concluded that the dynamic performance of vehicle-track systems differs significantly in various excitation modes, i.e., average cross wind, fluctuating cross wind, and track irregularities.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleCross Wind Effects on Vehicle–Track Interactions: A Methodology for Dynamic Model Construction
    typeJournal Paper
    journal volume14
    journal issue3
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4042142
    journal fristpage31003
    journal lastpage031003-11
    treeJournal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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