Development of Correlation Methodology Using Optimization Technique

Recently, the applications of optimization technique for occupant simulation are increasing to achieve a good correlated model, simulation reliability with actual test condition and design improvement. However, when the simulation model becomes complicated, the number of unknown parameters increases. Currently, point (one dimension) parsing has been used in optimization technique. Therefore, it takes longer time to parse all design parameters and to control the input parameters after parsing design parameters. Also, a longer time is required to run all input parameters. To overcome this problem and achieve a good correlated model with test, this study introduces the new developed process, curve parsing method (two dimension parsing) and applications for correlation methodology with test and simulation using optimization technique. Particularly, the component and system level of occupant simulation are applied to the program developed with Engineous. Thus, simple parsing with the design parameters can be achieved for the optimization technique application. From the result, the convergence accuracy of new approach was better than the old approach with specific optimization techniques. And the simulation run numbers and time had dramatically reduced compared to the ones in the previous approach.

• Record URL:
  • http://www-nrd.nhtsa.dot.gov/pdf/nrd-01/esv/esv19/05-0120-O.pdf
• Corporate Authors:

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Hong, Soongu
  • Lee, Jeoungkeun
• Conference:
  • 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV)
  • Location: Washington DC, United States
  • Date: 2005-6-6 to 2005-6-9
• Publication Date: 2005-6

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 8p
• Monograph Title: Proceedings - 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Washington, D.C., June 6-9, 2005

Subject/Index Terms

• TRT Terms: Correlation analysis; Crash tests; Crash victim simulation; Optimization
• Subject Areas: Data and Information Technology; Highways; Research; Safety and Human Factors; I84: Personal Injuries;

Filing Info

• Accession Number: 01066449
• Record Type: Publication
• Report/Paper Numbers: 05-0120
• Files: TRIS, USDOT
• Created Date: Sep 11 2007 2:04PM