6533b851fe1ef96bd12a8f6b

RESEARCH PRODUCT

Mathematical modeling of a vehicle crash test based on elasto-plastic unloading scenarios of spring-mass models

Hamid Reza KarimiWitold PawlusKjell G. Robbersmyr

subject

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413EngineeringTotal crash energyVehicle crashKinematicsIndustrial and Manufacturing EngineeringCoefficient of restitution; Spring-mass model; Total crash energy; Unloading stiffness; Vehicle crash; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringSimulationEvent (probability theory)Coefficient of restitutionbusiness.industrySpring-mass modelMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570UsabilityComputer Science Applications1707 Computer Vision and Pattern RecognitionStructural engineeringDissipationCollisionComputer Science ApplicationsNonlinear systemUnloading stiffnessSpring (device)Control and Systems EngineeringCoefficient of restitutionbusinessSoftware

description

Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher on SpringerLink: htp://dx.doi.org/10.1007/s00170-010-3056-x This paper investigates the usability of spring which exhibit nonlinear force-deflection characteristic in the area of mathematical modeling of vehicle crash. We present a method which allows us to obtain parameters of the spring-mass model basing on the full-scale experimental data analysis. Since vehicle collision is a dynamic event, it involves such phenomena as rebound and energy dissipation. Three different spring unloading scenarios (elastic, plastic, and elasto-plastic) are covered and their suitability for vehicle collision simulation is evaluated. Subsequently we assess which of those models fits the best to the real car’s behavior not only in terms of kinematic responses but also in terms of energy distribution.

http://hdl.handle.net/11250/136803