• DocumentCode
    830647
  • Title

    Soft-Computing-Based Car Body Deformation and EES Determination for Car Crash Analysis Systems

  • Author

    Várkonyi-Kóczy, Annamária R. ; Rövid, Andras ; Ruano, Maria Da Graça

  • Author_Institution
    Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ.
  • Volume
    55
  • Issue
    6
  • fYear
    2006
  • Firstpage
    2304
  • Lastpage
    2312
  • Abstract
    Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy absorbed by the deformation and the corresponding energy equivalent speed can be of key importance; however, their precise determination is a very difficult task. Starting from the results of crash tests, intelligent and soft methods offer a way to model the crash process itself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. In this paper, a modeling technique and an intelligent expert system are introduced, which, together, are able to follow the deformation process of car bodies in car crashes and analyze the strength of the different parts, which can significantly contribute to the improvement of the safety of car bodies
  • Keywords
    automobiles; expert systems; mechanical engineering computing; road accidents; road safety; 3D modeling; EES determination; car crash analysis systems; energy equivalent speed; fuzzy corner detection; fuzzy edge detection; fuzzy modeling; intelligent expert system; neural network-based modeling; soft-computing-based car body deformation; Computer crashes; Deformable models; Fuzzy neural networks; Fuzzy systems; Intelligent systems; Power generation economics; Road accidents; Statistical analysis; Vehicle crash testing; Vehicle safety; Car body deformation; crash analysis; energy equivalent speed (EES) determination; fuzzy and neural network (NN)-based modeling; fuzzy corner detection; fuzzy edge detection; intelligent systems; three-dimensional (3-D) modeling;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2006.873796
  • Filename
    4014742