dc.contributor.author | Pawlus, Witold | |
dc.contributor.author | Karimi, Hamid Reza | |
dc.contributor.author | Robbersmyr, Kjell G. | |
dc.date.accessioned | 2014-01-16T12:48:54Z | |
dc.date.available | 2014-01-16T12:48:54Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Pawlus, W., Karimi, H. R., & Robbersmyr, K. G. (2013). Investigation of vehicle crash modeling techniques: theory and application. The International Journal of Advanced Manufacturing Technology, 1-29. doi: 10.1007/s00170-013-5320-3 | no_NO |
dc.identifier.issn | 0268-3768 | |
dc.identifier.uri | http://hdl.handle.net/11250/136991 | |
dc.description | Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-013-5320-3 | no_NO |
dc.description.abstract | 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. | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Springer | no_NO |
dc.subject | feedforward neural network | no_NO |
dc.subject | lumped parameter models | no_NO |
dc.subject | multiresolution analysis | no_NO |
dc.subject | vehicle crash modeling | no_NO |
dc.title | Investigation of vehicle crash modeling techniques: theory and application | no_NO |
dc.type | Journal article | no_NO |
dc.type | Peer reviewed | no_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413 | no_NO |
dc.subject.nsi | VDP::Technology: 500::Mechanical engineering: 570 | no_NO |
dc.source.pagenumber | 1-29 | no_NO |
dc.source.journal | The International Journal of Advanced Manufacturing Technology | no_NO |
dc.identifier.doi | 10.1007/s00170-013-5320-3 | |