Precrash vehicle velocity determination using inverse system and tensor product of Legendre polynomials - subcompact car class

• Autorzy: Gosławski Łukasz , Madziara Szymon , Droś Bartosz , Knap Lech , Ma Yanlin , Mrowicki Adam

Identyfikatory

DOI

10.14669/AM/155005

• Języki publikacji: EN

Abstrakty

EN

Presented paper discusses new approach to EES parameter determination in frontal car crash based on the tensor product of Legendre polynomials. In this paper Subcompact Car Class was analyzed using that method. Data that was used to perform analyses introduced in this paper was taken from National Highway Traffic Safety Administration (NHTSA) database. Such database consists of considerate number of test cases along with various information including vehicle mass, crash velocity, chassis deformation etc. New approach to the problem of determining the EES parameter was necessary due to the low accuracy of the currently used methods. Linear models used up till now for accident reconstruction show significant error as the relationship between mass, velocity and deformation cannot be well approximated with a flat plane. Proposed model produces better results, because of the nonlinear dependence of said parameters. This paper also includes a calculation example presenting a comparison of linear and nonlinear method on an actual crash test.

Słowa kluczowe

EN

car; crash; reconstruction; accidents; Tensor Product System; Inverse System; EES

• Wydawca: Wydawnictwo Naukowe Sieci Badawczej Łukasiewicz - Przemysłowego Instytutu Motoryzacji
• Czasopismo: Archiwum Motoryzacji
• Rocznik: 2022
• Tom: Vol. 97, nr 3
• Strony: 14--24
• Opis fizyczny: Bibliogr. 38 poz., rys.

Twórcy

autor

Gosławski Łukasz

• Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84, 02-524 Warsaw, Poland

• https://orcid.org/0000-0002-3369-5510

autor

Madziara Szymon

• Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84, 02-524 Warsaw, Poland

• https://orcid.org/0000-0002-6193-9260

autor

Droś Bartosz

• Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84, 02-524 Warsaw, Poland

• https://orcid.org/000-0003-1666-5720

autor

Knap Lech

• Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84, 02-524 Warsaw, Poland

• https://orcid.org/0000-0002-3199-0233

autor

Ma Yanlin

• School of Transportation Science and Engineering, Harbin Institute of Technology, 73 Huanghe Road, Nangang District, Harbin 150090, China

autor

Mrowicki Adam

• Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84, 02-524 Warsaw, Poland

• https://orcid.org/0000-0002-7865-099X

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