• Title/Summary/Keyword: 명시적 수치적분기

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Development of Realtime Simulator for Multibody Dynamics Analysis of Wheeled Vehicle on Soft Soil (연약지반을 고려한 차량 실시간 시뮬레이터 개발)

  • Hong, Sup;Kim, Hyung-Woo;Cho, Yun-Sung;Cho, Hui-Je;Jung, Ji-Hyun;Bae, Dae-Sung
    • Journal of Ocean Engineering and Technology
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    • v.25 no.6
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    • pp.116-122
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    • 2011
  • A realtime simulator using an explicit integration method is introduced to improve the solving performance for the dynamic analysis of a wheeled vehicle. Because a full vehicle system has many parts, the development of a numerical technique for multiple d.o.f. and ground contacts has been required to achieve a realtime dynamics analysis. This study proposes an efficient realtime solving technique that considers the wheeled vehicle dynamics behavior with full degrees of freedom and wheel contact with soft ground such as sand or undersea ground. A combat vehicle was developed to verify this method, and its dynamics results are compared with commercial programs using implicit integration methods. The combat vehicle consists of a chassis, double wishbone type front and rear suspension, and drive train. Some cases of vehicle dynamics analysis are carried out to verify the realtime ratio.

Gaussian Kernel Smoothing of Explicit Transient Responses for Drop-Impact Analysis (낙하 충격 해석을 위한 명시법 과도응답의 가우스커널 평활화 기법)

  • Park, Moon-Shik;Kang, Bong-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.3
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    • pp.289-297
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    • 2011
  • The explicit finite element method is an essential tool for solving large problems with severe nonlinear characteristics, but its results can be difficult to interpret. In particular, it can be impossible to evaluate its acceleration responses because of severe discontinuity, extreme noise or aliasing. We suggest a new post-processing method for transient responses and their response spectra. We propose smoothing methods using a Gaussian kernel without in depth knowledge of the complex frequency characteristics; such methods are successfully used in the filtering of digital signals. This smoothing can be done by measuring the velocity results and monitoring the response spectra. Gaussian kernel smoothing gives a better smoothness and representation of the peak values than other approaches do. The floor response spectra can be derived using smoothed accelerations for the design.