Occupant Model Correlation Using a Genetic Algorithm

2004-01-1624

03/08/2004

Event
SAE 2004 World Congress & Exhibition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2004-01-1624
Pages
10
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.
Additional Details
Publisher
Published
Mar 8, 2004
Product Code
2004-01-1624
Content Type
Technical Paper
Language
English