Investigation of vehicle crash modeling techniques: theory and application
Investigation of vehicle crash modeling techniques: theory and application
- New search for: Pawius, Witold
- New search for: Karimi, Hamid Reza
- New search for: Robbersmyr, Kjell G.
- New search for: Pawius, Witold
- New search for: Karimi, Hamid Reza
- New search for: Robbersmyr, Kjell G.
Creating a mathematical model of a vehicle crash is a task which involves considerations and analysis of different areas which need to be addressed because of the mathematical complexity of a crash event representation. Therefore, to simplify the analysis and enhance the modeling process, in this work, a brief overview of different vehicle crash modeling methodologies is proposed. The acceleration of a colliding vehicle is measured in its center of gravity - this crash pulse contains detailed information about vehicle behavior throughout a collision. A virtual model of a collision scenario is established in order to provide an additional data set further used to evaluate a suggested approach. Three different approaches are discussed here: lumped parameter modeling of viscoelastic systems, data-based approach taking advantage of neural networks and autoregressive models and wavelet-based method of signal reconstruction. The comparative analysis between each method's outcomes is performed and reliability of the proposed methodologies and tools is evaluated.
Document information
Investigation of vehicle crash modeling techniques: theory and application
Untersuchung zu Modelltechniken für Fahrzeug-Aufprallunfälle: Theorie und Anwendung
International Journal of Advanced Manufacturing Technology ; 70 , 5-8 ; 965-993
2014
29 Seiten, 47 Bilder, 9 Tabellen, 67 Quellen
Article (Journal)
English
Aufprallverhalten , Aufpralluntersuchung , Aufprallversuch , mathematisches Modell , Modellentwicklung , Modellmethode , Literaturübersicht , Beschleunigungsmessung , Impulsausbreitung , Fahrzeugverhalten , konzentrierte Parameter , Parameterstudie , neuronales Netzwerk , Autoregressionsanalyse , Signalregenerierung , Vergleichsanalyse , Leistungsvergleich , Zuverlässigkeitsanalyse , mathematische Modellierung
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