Refined Calculation and Simulation System of Local Large Deformation for Accident Vehicle

Determining the collision speed is the key to reconstruct vehicle crash accident and analyze the accident origin. The present paper aims to identify the process of vehicle crash and the local large deformation for accident vehicle. Based on the collected typical accident cases of the vehicle crash, the authors divide local large deformation into mesh using hexahedral mesh generation algorithm and ten node curved edge tetrahedral element. Based on the mesh chart of collision deformation energy of finite element theory, the relationship between vehicle collision speed and body deformation was analyzed quantitatively. Combined with the correlation between collision speed and residual body deformation, the equivalent speed loss was obtained. The model of the impact force and instantaneous speed for each meshing cell was created using vehicle dynamics model, elastic mechanics. According to the analysis for vehicle crash accident, the accurate values of speed and direction of the vehicle before the accident occurs have been calculated. This study provided a theoretical foundation for accident analysis and identification. According to the calculation model of the impact force and instantaneous speed, the authors build the analysis and reconstruction system of vehicle-fixity crash accidents on VC++ platform.The refined calculation and simulation system has been applied to analyze the actual vehicle-fixity crash accident on Xianning Western Road in Xi’an. This system is an important component in analysis and reconstruction system of traffic accidents, which can enrich the analyses of traffic accidents.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 8p
  • Monograph Title: 3rd International Conference on Road Safety and Simulation

Subject/Index Terms

Filing Info

  • Accession Number: 01506376
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 3 2014 9:17AM