A fuzzy logic approach to modeling a vehicle crash test

Author:

Pawlus Witold,Karimi Hamid,Robbersmyr Kjell

Abstract

AbstractThis paper presents an application of fuzzy approach to vehicle crash modeling. A typical vehicle to pole collision is described and kinematics of a car involved in this type of crash event is thoroughly characterized. The basics of fuzzy set theory and modeling principles based on fuzzy logic approach are presented. In particular, exceptional attention is paid to explain the methodology of creation of a fuzzy model of a vehicle collision. Furthermore, the simulation results are presented and compared to the original vehicle’s kinematics. It is concluded which factors have influence on the accuracy of the fuzzy model’s output and how they can be adjusted to improve the model’s fidelity.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering,Environmental Engineering

Reference34 articles.

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4. Pawlus W., Karimi H.R., Robbersmyr K.G., Development of lumped-parameter mathematical models for a vehicle localized impact, International Journal of Advanced Manufacturing Technology, vol. 3, no. 2, pp. 57–77, 2010

5. Pawlus W., Karimi H.R., Robbersmyr K.G., Application of viscoelastic hybrid models to vehicle crash simulation, International Journal of Crashworthiness, vol. 16, no. 2, pp. 195–205, 2011

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