6533b873fe1ef96bd12d4f74

RESEARCH PRODUCT

A fuzzy logic approach to modeling a vehicle crash test

Kjell G. RobbersmyrHamid Reza KarimiWitold Pawlus

subject

EngineeringEnvironmental Engineeringmedia_common.quotation_subjectFuzzy setAerospace EngineeringFidelityCrashKinematicsFuzzy logicGeneral Materials Sciencevehicle crashElectrical and Electronic EngineeringCivil and Structural Engineeringmedia_commonAdaptive neuro fuzzy inference systemEvent (computing)business.industryMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570modelingControl engineeringEngineering (General). Civil engineering (General)Collisionfuzzy logicTA1-2040business

description

Published version of an article in the journal: Central European Journal of Engineering. Also available from the publisher at: http://dx.doi.org/10.2478/s13531-012-0032-2 This 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.

yearjournalcountryeditionlanguage
2013-03-01Open Engineering
https://doi.org/10.2478/s13531-012-0032-2