• Title/Summary/Keyword: occupant risk indices

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Data Processing and Numerical Procedures Influencing on Occupant Risk Indices (탑승자 안전지수에 영향을 주는 데이터 처리과정과 수치절차)

  • Kim, Kee-Dong;Ko, Man-Gi;Nam, Min-Kyun
    • International Journal of Highway Engineering
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    • v.9 no.4
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    • pp.215-226
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    • 2007
  • To verify the performance of roadside barriers, occupant risk indices are calculated from acceleration and angular velocity data of vehicle crash tests. The occupant risk indices to be computed include THIV(Theoretical Head Impact Velocity), PHD(Post-impact Head Deceleration), ASI(Acceleration Severity Index), OIV(Occupant Impact Velocity) and ORA(Occupant Ridedown Acceleration). There is a confusion due to different values of occupant risk indices produced for the same test data because various computational procedures and data processing methods can be applied to compute them. To slove this problem the effects of various numerical procedures and data processing methods on occupant risk indices were investigated. If the sampling rate specified in the guidelines is used for full-scale vehicle crash tests, an interpolation of impact time and numerical integration methods do not result in an appreciable change of THIV and OIV. The way to determine 10msec moving average for PHD and zero offset of data processing should be specified in the guidelines because 10msec moving average and zero offset methods have a significant influence on occupant risk indices.

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Development of Crash Cushion by Computer Simulation (컴퓨터 시뮬레이션을 통한 충격흡수시설의 개발)

  • Kim, Dong-Sung;Kim, Kee-Dong;Ko, Man-Gi
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.513-516
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    • 2008
  • The development of crash cushions is finally completed by full-scale vehicle crash tests. Since the current development of crash cushions is achieved by numerous repeated full-scale vehicle crash tests based on empirical and irrational methods, it requires a great amount of costs. In this research, the more rational procedure based on prototype design by static tests and computer simulation is suggested and it can minimize the number of full-scale vehicle crash tests.

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