Title :
Soft computing based car body deformation and EES determination for car crash analysis systems
Author :
Rövid, András ; Várkonyi-Kóczy, Annamária R. ; Ruano, M.D.G. ; Varlaki, Peter ; Michelberger, Pal
Author_Institution :
Dept. of Automobiles, Budapest Univ. of Technol. & Econ., Hungary
Abstract :
Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy absorbed by the deformation and the corresponding energy equivalent speed can be of key importance, however their precise determination is a very difficult task. Although, using the results of crash tests, intelligent and soft methods offer a way to model the crash process itself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. In this paper a modeling technique and an intelligent expert system are introduced which together are able to follow the deformation process of car bodies in car crashes and to analyze the strength of the different parts, thus significantly can contribute to the improvement of the safety of car bodies.
Keywords :
automotive components; automotive engineering; computer vision; expert systems; fuzzy set theory; neural nets; road accidents; road safety; solid modelling; 3D modeling; car body deformation modeling; car crash analysis systems; computer vision; crash accident analyses; digital image processing; energy equivalent speed; fuzzy modeling; intelligent expert system; neural network based modeling; safe car body design; soft computing based modeling; Analytical models; Computational modeling; Computer crashes; Computer simulation; Information analysis; Road accidents; Statistical analysis; Stochastic processes; Vehicle crash testing; Vehicle safety;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351403