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Firefly Optimization and Mathematical Modeling of a Vehicle Crash Test Based on Single‐Mass

Author

Listed:
  • Andreas Klausen
  • Sondre Sanden Tørdal
  • Hamid Reza Karimi
  • Kjell G. Robbersmyr
  • Mladen Jecmenica
  • Ole Melteig

Abstract

In this paper mathematical modeling of a vehicle crash test based on a single‐mass is studied. The model under consideration consists of a single‐mass coupled with a spring and/or a damper. The parameters for the spring and damper are obtained by analyzing the measured acceleration in the center of gravity of the vehicle during a crash. A model with a nonlinear spring and damper is also proposed and the parameters will be optimized with different damper and spring characteristics and optimization algorithms. The optimization algorithms used are interior‐point and firefly algorithm. The objective of this paper is to compare different methods used to establish a simple model of a car crash and validate the results against real crash data.

Suggested Citation

  • Andreas Klausen & Sondre Sanden Tørdal & Hamid Reza Karimi & Kjell G. Robbersmyr & Mladen Jecmenica & Ole Melteig, 2014. "Firefly Optimization and Mathematical Modeling of a Vehicle Crash Test Based on Single‐Mass," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:150319
    DOI: 10.1155/2014/150319
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    References listed on IDEAS

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    1. Gaige Wang & Lihong Guo, 2013. "A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    2. Gaige Wang & Lihong Guo, 2013. "A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-21, February.
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