Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/5878
Título: Soft computing based car body deformation and EES determination for car crash analysis systems
Autor: Rovid, A.
Varkonyi-koczy, A. R.
Ruano, M. Graça
Varlaki, P.
Michelberger, P.
Palavras-chave: 3d modeling
Car body deformation
Crash analysis
Ees determination
Fuzzy and neural network based modeling
Fuzzy filtering
Intelligent systems
Data: 8-Out-2004
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.1/5878
ISSN: 10915281
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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