|
Vol: 54(68) No: 2 / June 2009 Heuristic Model for Energy Absorption of Car Body Deformational Processes István Harmati Department of Mathematics and Computational Sciences, Széchenyi István University, H-9026 Győr, Egyetem tér 1., Hungary, e-mail: harmati@sze.hu András Rövid Institute of Intelligent Engineering Systems, Budapest Tech, H-1034 Budapest, Bécsi út 96/B, Hungary, e-mail: rovid.andras@nik.bmf.hu Péter Várlaki Department of Chassis and Lightweight Structures, Budapest University of Technology and Economics, H-1111 Budapest, Bertalan Lajos u. 2., Hungary, e-mail: varlaki@kme.bme.hu Keywords: car crash, energy distribution Abstract The energy absorbing property of the car body is one of the most important feature of a vehicle in vehicle safety requirements. Exact determination of the absorbed energy and identification the changing its distribution during the collision process is a very complex, almost impossible task which requires amount of parameters. In this paper we introduce a modelling method to describe qualitativelly the energy absorbing process, but with using several crash test data and applying soft computing methods for parameter estimation, the real case can be approximated well. References [1] P. Griškevičius, A. Žiliukas: The crash energy absorption of vehicles front structures, Transport Vol. 18., No. 2., 2003., pp. 97-101. [2] T. Péter, E, Zibolen: Model analysis in vehicle dynamics in computer algebraic environment, Symposium on Euroconform Complex Petraining of Specialists in Road Transport, Budapest, June 9-15., 2001., pp. 319-331. [3] H. Steffan, B.C. Geigl, A. Moser, H. Hoschopf: Comparison of 10 to 100 km/h rigid barrier impacts, Paper No. 98-S3-P-12 [4] A. Rövid, A.R. Várkonyi-Kóczy, P. Várlaki, P. Michelberger: Soft computing based car body deformation and EES determination for car crash analysis, Proceedings of the Instrumentation and Measurment Conference, 2004. [5] A. Rővid, A.R. Várkonyi-Kóczy, P. Várlaki: Intelligent methods for car deformation modeling and crash speed estimation, Proceedings of the 1st Romanian-Hungarian Joint Symposium on Applied Computational Intelligence, 2004., pp. 75-84. [6] A.R. Várkonyi-Kóczy, A. Rövid: Fuzzy logic supported point correspondence matching for 3D reconstruction, Proceedings of the 5th International Symposium of Hungarian Researchers on Computational Intelligence, Budapest, 2004. [7] I. Harmati, A. Rövid, P. Várlaki: Energy absorption modelling technique for car body deformation, Proceedings of the 4th International Symposium on Applied Computational Intelligence and Informatics, Timisoara 2007, pp. 269-272. [8] I. Harmati, P. Várlaki: Identification of energy distribution for crash deformational processes of road vehicles, Acta Polytechnica Hungarica Vol.4. No.2. 2007, pp. 19-28. [9] C. Strother, R. Woolley, M. James, C. Warner: Crush energy in accident reconstruction, SAE Transactions 1986 (2), pp. 740-756. [10] K.Welsh, D. Struble: Crush energy and structural characterization, SAE Transactions 1999, Vol. 108 (6), pp. 290-301. [11] J. Neptune: A comparison of crush stiffness characteristics from partialoverlap and fill-overlap frontal crash tests, SAE Transactions 1999, Vol. 108 (6), pp. 383-391. [12] J. Neptune, J. Flynn: A method for determining crush stiffness coefficients from offset frontal and side crash test, SAE Transactions 1999, Vol. 107, pp. 93-109. |