This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Occupant Model Correlation Using a Genetic Algorithm
Technical Paper
2004-01-1624
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Computer modeling has played important roles and gained great momentum in product development as numerical methods, computer software and hardware technologies advance rapidly. Computer models (e.g. MADYMO) that simulate vehicle interior, restraint system and occupants in various crash modes have been widely used to improve occupant safety. However, to build good occupant models, engineers often have to spend tremendous time on model correlation. The challenge of model correlation for occupant safety is that it requires matching numerous injury curves with tests, for examples: head G, chest G, chest deflection, shoulder belt load, femur loads, neck load and moment. Traditionally, this model correlation task is done by a trial and error method. This paper attempts to solve the problem systematically by using a genetic algorithm. It demonstrates that the genetic algorithm is a valuable optimization tool to obtain a high quality MADYMO model.
Recommended Content
Technical Paper | Numerical Models of Gas Leakage for Side Air Bags |
Technical Paper | Influences of Parameters at Vehicle Rollover |
Technical Paper | Finite Element Simulation Study of Airbag Load Phenomena |
Topic
Citation
Fu, Y., Lee, E., and Kang, S., "Occupant Model Correlation Using a Genetic Algorithm," SAE Technical Paper 2004-01-1624, 2004, https://doi.org/10.4271/2004-01-1624.Also In
CAE Methods for Vehicle Crashworthiness and Occupant Safety, and Safety-Critical Systems
Number: SP-1870; Published: 2004-03-08
Number: SP-1870; Published: 2004-03-08
References
- Dunn, S. A. “Modified Genetic Algorithm for the Identification of Aircraft Structures” J. Aircr. 34 251 253 1997
- Hajela P. “Genetic Search - An Approach to the Nonconvex Optimization Problem” AIAA Journal 28 7 1205 1210 1989
- Fu, Y. Yang R. J. Yeh I. S. “Optimal Design of an Inflatable Knee Bolster Using Genetic Algorithms” Crashworthiness Occupant Protection and Biomechanics in Transportation Systems, Proceedings of ASME International Mechanical Engineering Congress and Exposition New York, NY 279 288 November 11-16 2001
- Tayal M. Fu Y. Diwekar U. “Optimal Design of Heat Exchangers: A Genetic Algorithm Framework” Ind. Eng. Chem. Res. 38 456 465 1999
- Athier, G. Floquet P. Piblouleau L. “Synthesis of Heat-Exchanger Network by Simulated Annealing and NLP Procedures” AIChE J. 43 3007 3020 1997
- Fabbri, G. “Heat Transfer Optimization in Internally Finned Tubes under Laminar Low Conditions” Int. J. Heat Mass Transfer 41 10 1243 53 1998
- Chiba, T. Okado S. Fujii I. “Optimum Support Arrangement of Piping Systems Using Genetic Algorithm” J. Pressure Vessel Technol. 118 507 512 1996
- McLead, A. S. Johnston M. E. Gladden L. F. “Development of a Genetic Algorithm for Molecular Scale Catalyst Design” J. Catal. 167 279 285 1997
- Moriyama, H. Shimizu K. “On-line Optimization of Culture Temperature for Ethanol Fermentation Using a Genetic Algorithm” J. Chem. Technol. Biotehnol. 66 217 222 1996
- Shapiro, B. A. Wu J. C. “Predicting RNA H-Type Pseudoknots with the Massively Parallel Genetic Algorithm” Comput. Appl. Biosci. 13 4 459 472 1997
- Guarnieri, F. Mezei M. “Simulated Annealing of Chemical Potential: A General Procedure for Locating Bound Waters - Application to the Study of the Differential Hydration Propensities of the Major and Minor Grooves of DNA” J. Am. Chem. Soc. 118 8493 8494 1996
- Joseph, D. Kinsner W. “Design of a Parallel Genetic Algorithm for the Internet” IEEE WESCANEX 97 Commun., Power Comput. Conf. Proc. 333 343 1997
- Subramania, D. K. Subramanian K. “Query Optimization in Multidatabase Systems” Distrib. Parallel Databases 6 2 183 210 1998
- Levine, D. “Genetic Algorithms: A Practitioner's View” INFORMS Journal of Computing 9 3 256 259 1997
- Price, T. C. “Using Co-Evolutionary Programming to Simulate Strategic Behavior in Markets” J. Evolutionary Econ. 7 3 219 54 1997
- Wong, K. P. Wong Y. W. “Combined Genetic Algorithm/Simulated Annealing/Fuzzy Set Approach to Short-Term Generation Scheduling with Take-or-Pay Fuel Contract” IEEE Trans. Power Syst. 11 128 36 1997
- Goldberg, D. E. Genetic Algorithms in Search, Optimization and Machine Learning Addison-Wesley Reading, MA 1989
- Holland J. H. “Adaptation in Natural and Artificial Systems” The University of Michigan Press Ann Arbor, MI 1975