Abstract
Although automobile crash test data have a comparatively large variation because of the complexity of the tests, only a limited number of crash tests are usually conducted due to monetary and time limitations. Thus, it is necessary to control input variables that cause the variation in test data to obtain consistent crash test results and to correctly assess the safety performance of an automobile under development. In this study, a MADYMO model was validated deterministically to yield the head, chest, pelvis deceleration pulses of anthropomorphic test devices and the belt load pulses similar to those from actual tests, and it was also validated stochastically to yield means and standard deviations of the head and chest injury numbers, i.e., HIC 15 and 3 msec clip similar to those from actual tests. A stochastic analysis was conducted using the validated MADYMO model to calculate the sensitivity of the standard deviations of the injury numbers to the standard deviations of influential input variables to determine the most influential input variable that makes the largest contribution to the variation in the injury numbers. Moreover, the Taguchi approach was used to determine the optimal values of the influential input variables to improve safety performance.
Similar content being viewed by others
References
Huang, M. (2002). Vehicle Crash Mechanics. CRC Press. Dearborn. Michigan. USA.
Morgan, R. M., Hackney, J. R., Versailles, M. L., Molino, L. and Lowrie, J. C. (1998). NHTSA crash testing and safety information for consumers. CRASHTECH Conf.. Munich. Germany.
NHTSA (2000). Final Rule on FMVSS208. Docket No. NHTSA 00-7013.
Reuter, R., Hoffmann, R. and Kamarajan, J. (2001). Application of Stochastic Simulation in the Automotive Industry. EASi Engineering GmbH. Alzenau. Germany.
Riha, D. S., Hassan, J., Forrest, M. and Ding, K. (2003). Stochastic Approach for Vehicle Crash Models. SAE. USA.
Shah, P. (2003). Stochastic Analysis of Frontal Crash Model. NAFEMS Seminar. Wiesbaden. Germany.
Taguchi, G. (1987). Introduction to Quality Engineering. American Supplier Institute, Inc.. Michigan. USA.
TNO Automotive (2001). MADYMO Database Manual. Version 6. 0. 1.
TNO Automotive (2001). MADYMO Theory Manual. Version 6. 0. 1.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kim, T.W., Jeong, H.Y. Stochastic analysis of the variation in injury numbers of automobile frontal crash tests. Int.J Automot. Technol. 11, 481–488 (2010). https://doi.org/10.1007/s12239-010-0059-4
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12239-010-0059-4