This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Improving Robustness Assessment Quality Via Response Decomposition
Technical Paper
2006-01-0760
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Response surface methods have been widely used in robust design for reducing turn-around time and improving quality. That is, from a given set of CAE data (design-of-experiments results), many different robust optimization studies can be performed with different constraints and objectives without large, recurring, computation costs. However, due to the highly nonlinear and non-convex nature of occupant injury responses, it is difficult to generate high quality response surface models from them. In this paper, we apply a cross validation technique to estimate the accuracy of response surface models, particularly in the context of robustness assessment. We then decompose selected occupant injury responses into more fundamental signals before fitting surfaces to improve the predictivity of the response surface models. Real-world case studies on an occupant restraint system robust design problem are used to demonstrate the methodology.
Recommended Content
Authors
Citation
Kachnowski, B. and Fu, Y., "Improving Robustness Assessment Quality Via Response Decomposition," SAE Technical Paper 2006-01-0760, 2006, https://doi.org/10.4271/2006-01-0760.Also In
Reliability and Robust Design in Automotive Engineering, 2006
Number: SP-2032; Published: 2006-04-03
Number: SP-2032; Published: 2006-04-03
References
- Kachnowski, B. Fu, Y. Experience With Response Surface Methods For Occupant Restraint System Design Society of Automotive Engineers 2005 SAE 2005-01-1306
- Jin, R. Chen, W. Simpson, T.W. Comparative Studies of Metamodeling Techniques Under Multiple Modeling Criteria American Institute of Aeronautics and Astronautics 2001
- Engineous Software, Inc. ISIGHT Reference Manual Version 9.0 Chapter 6: Quality Engineering Methods and Chapter 8: Approximation Models 2004
- Martin, J.D. Simpson, T.W. A Study on the Use of Kriging Models to Approximate Deterministic Computer Models American Society of Mechanical Engineers 2003
- National Highway Traffic Safety Administration (NHTSA) Preliminary Economic Assessment, SNPRM, FMVSS No. 208, Advanced Airbags Office of Regulatory Analysis & Evaluation, Plans and Policy October 1999 Section III Injury Criteria 1999
- Press, W.H. et al Numerical Recipes in C: The Art of Scientific Computing Second Chapter 2.6: Singular Value Decomposition Cambridge University Press 1992
- Trieste, Italy modeFrontier Version 3 User Manual 2003
- Minitab, Inc. Minitab Statistical Software StatGuide 2000
- TNO Road-Vehicles Research Institute MADYMO User's Manual 3D 1999
- Kleinberger, M. Sun, E. Eppinger, R. et al Development of Improved Injury Criteria for the Assessment of Advanced Automotive Restraint Systems NHTSA 1998
- National Highway Traffic Safety Administration Frontal New Car Assessment Program (NCAP) 2004