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Optimization of a Vehicle Restraint System Using a Genetic Algorithm
Technical Paper
2005-01-1227
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In an attempt to make vehicle restraint systems more effective in protecting occupants, many advanced safety technologies have been introduced. These advanced technologies are mostly adaptive technologies. The ability of a restraint system to adapt itself to crash parameters like crash speed and type, occupant size, and belt-usage status, offers possible enhancements in occupant protection.
Designing a restraint system boils down to the determination of the design variables of either the restraint technologies or vehicle interiors. A restraint system of adaptive technologies involves much more design variables than a restraint system containing only load-limited belts and dual stage inflators, possibly posing a challenge to safety engineers.
In this paper, a genetic algorithm (GA) tailored for restraint system optimization will be presented. Two restraint systems, one for the driver side and one for the passenger side, containing a variety of advanced safety technologies will be used as examples to demonstrate the feasibility of this new tool in optimizing advanced restraint systems. The efficiency of this optimization tool and its application to evaluating the net benefit of adaptive technologies will be discussed at the end.
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Citation
Yeh, I., Fu, Y., Kachnowski, B., and Subbian, T., "Optimization of a Vehicle Restraint System Using a Genetic Algorithm," SAE Technical Paper 2005-01-1227, 2005, https://doi.org/10.4271/2005-01-1227.Also In
Air Bags, Occupant Protection, and Child Passenger Restraints
Number: SP-1933; Published: 2005-04-11
Number: SP-1933; Published: 2005-04-11
SAE 2005 Transactions Journal of Passenger Cars: Mechanical Systems
Number: V114-6; Published: 2006-02-01
Number: V114-6; Published: 2006-02-01
References
- Kindleberger John “Children in Airbag Crash” SAE Government-Industry Meeting 2003
- “Advanced airbag material” NHTSA 2004
- Baker, R. “Genetic Algorithms in Search and Optimization” Financial Engineering News July 1998 5
- Goldberg, D.E 1989 Genetic Algorithms in Search, Optimization & Machine Learning Addison-Wesley Longman
- Fu, Y. Yang, R.J. Yeh, I. “Optimal Design of An Inflatable Knee Bolster Using Generic Algorithms” International Mechanical Engineering Congress and Exposition New York, NY November 11-16 2001
- Fu, Y. Yang, R.J. Yeh, I. “A genetic algorithm for optimal design of an inflatable knee bolster” Structure Multidiscipline Optimization 26 264 271 2004