Development of lumped-parameter mathematical models for a vehicle localized impact

In this paper, we propose a method of modeling for vehicle crash systems based on viscous and elastic properties of the materials. This paper covers an influence of different arrangement of spring and damper on the models’ response. Differences in simulating vehicle-torigid barrier collision and vehicle-to-pole collision are explained. Comparison of the models obtained from wideband (unfiltered) acceleration and filtered acceleration is done. At the end we propose a model which is suitable for localized collisions simulation.

[1]  W. Pawlus,et al.  Further results on mathematical models of vehicle localized impact , 2010, 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics.

[2]  ADRIAN ŞOICA,et al.  Theoretical and Experimental Approaches to Motor Vehicle – Pedestrian Collision , 2007 .

[3]  Mohamed Abdel-Aty,et al.  Light truck vehicles (LTVs) contribution to rear-end collisions. , 2007, Accident; analysis and prevention.

[4]  Dario Vangi Energy Loss in Vehicle to Vehicle Oblique Impact , 2009 .

[5]  Hamid Reza Karimi,et al.  Development of Mathematical Models for Analysis of a Vehicle Crash , 2010 .

[6]  A Deb,et al.  Development of a new lumped-parameter model for vehicle side-impact safety simulation , 2008 .

[7]  Chin-Hsu Lin,et al.  Modeling and Simulation of a Van for Side Impact Sensing Tests , 2007 .

[8]  Norman Jones,et al.  Vehicle Crash Mechanics , 2002 .

[9]  Hamid Reza Karimi,et al.  Signal Analysis and Performance Evaluation of a Vehicle Crash Test with a Fixed Safety Barrier Based on Haar Wavelets , 2011, Int. J. Wavelets Multiresolution Inf. Process..

[10]  Péter Várlaki,et al.  Energy distribution modeling of car body deformation using LPV representations and fuzzy reasoning , 2008 .

[11]  Jie Shen,et al.  Virtual Reconstruction of Two Types of Traffic Accident by the Tire Marks , 2006, ICAT.

[12]  Azim Eskandarian,et al.  Vehicle crash modelling using recurrent neural networks , 1998 .

[13]  O. Klyavin,et al.  Finite Element Modeling of the Crash-Tests for Energy Absorbing Lighting Columns , 2008 .

[14]  James A. Neptune,et al.  A Method for Determining Crush Stiffness Coefficients from Offset Frontal and Side Crash Tests , 1998 .

[15]  Hamid Reza Karimi,et al.  Comparative analysis of vehicle to pole collision models established using analytical methods and neural networks , 2010 .

[16]  Ivan Prebil,et al.  Statistical model of a vehicle-to-barrier collision , 2007 .

[17]  Hamid Reza Karimi,et al.  Mathematical modeling and analysis of a vehicle crash , 2010 .

[18]  Karl-Gustaf Sundin,et al.  Identification of lumped parameter automotive crash models for bumper system development , 2009 .

[19]  Matej Borovinšek,et al.  Simulation of crash tests for high containment levels of road safety barriers , 2007 .

[20]  Stelian Tarulescu,et al.  Computer simulation and experimental research of the vehicle impact , 2009 .

[21]  Hamid Reza Karimi,et al.  Mathematical modeling of a vehicle crash test based on elasto-plastic unloading scenarios of spring-mass models , 2011 .

[22]  Klemenc Jernej,et al.  NUMERICAL SIMULATION OF CRASH TEST FOR THE VEHICLE STUDENT ROADSTER , 2008 .

[23]  A. Edelman,et al.  VEHICLE DYNAMICS AND CRASH DYNAMICS WITH MINICOMPUTER , 1983 .

[24]  Carol Conroy,et al.  The influence of vehicle damage on injury severity of drivers in head-on motor vehicle crashes. , 2008, Accident; analysis and prevention.

[25]  Weixin Shen,et al.  Finite element models of rib as an inhomogeneous beam structure under high-speed impacts. , 2007, Medical engineering & physics.