• DocumentCode
    2480678
  • Title

    Identification and Reconstruction of Car Body Deformation Applying Tensor Product Models

  • Author

    Harmati, István ; Rövid, András ; Szeidl, László ; Várlaki, Péter

  • Author_Institution
    Dept. of Math. & Comput. Sci., Szechenyi Istvan Univ., Gyor
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    98
  • Lastpage
    101
  • 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. Although, using the results of crash tests, intelligent and soft methods offer an automatic 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 to analyze the strength of the different parts without any human intervention thus significantly can contribute to the improvement of the modeling, (automatic) design, and safety of car bodies
  • Keywords
    automobiles; deformation; intelligent design assistants; mechanical engineering computing; parameter estimation; road accidents; tensors; car body deformation modeling; crash accident analysis; intelligent expert system; parameter identification; safe car body design; tensor product model; Analytical models; Computer crashes; Deformable models; Finite element methods; Interpolation; Lightweight structures; Road accidents; Tensile stress; Vehicle crash testing; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 2006. INES '06. Proceedings. International Conference on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-9708-8
  • Type

    conf

  • DOI
    10.1109/INES.2006.1689349
  • Filename
    1689349