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Auto-Correlation of an Occupant Restraint System Model Using a Bayesian Validation Metric
Technical Paper
2009-01-1402
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Computer Aided Engineering (CAE) has become a vital tool for product development in automotive industry. Various computer models for occupant restraint systems are developed. The models simulate the vehicle interior, restraint system, and occupants in different crash scenarios. In order to improve the efficiency during the product development process, the model quality and its predictive capabilities must be ensured. In this research, an objective model validation metric is developed to evaluate the model validity and its predictive capabilities when multiple occupant injury responses are simultaneously compared with test curves. This validation metric is based on the probabilistic principal component analysis method and Bayesian statistics approach for multivariate model assessment. It first quantifies the uncertainties in both test and simulation results, extracts key features, and then evaluates the model quality. This paper presents a newly developed auto-correlation method using both the objective model validation metric and a genetic algorithm based advanced optimization approach to automatically select the best values of the model parameters. A successful application of the auto-correlation method is demonstrated by a case study.
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Authors
Topic
Citation
Fu, Y., Jiang, X., and Yang, R., "Auto-Correlation of an Occupant Restraint System Model Using a Bayesian Validation Metric," SAE Technical Paper 2009-01-1402, 2009, https://doi.org/10.4271/2009-01-1402.Also In
Reliability and Robust Design in Automotive Engineering, 2009
Number: SP-2232; Published: 2009-04-20
Number: SP-2232; Published: 2009-04-20
References
- FHWA/NHTSA National Crash Analysis Center “FHWA Quantitative Validation Procedure” 1997
- Ray M. H. “Repeatability of Full-Scale Crash Tests and a Criteria for Validating Finite Element Simulations” Transportation Research Record No.1528, Transportation Research Board Washington, D.C. December 1997
- TNO Automotive “Research and Technology Development News-ADVISER” May 2003
- TNO Automotive, Presentation Script “ADVISER” May 2003
- Ma D. at el “Correlation Grading Methodology for Occupant Protection System Models” SAE 2004-01-1631 Detroit, Michigan March 8 11 2004
- Liu X. Fu Y. Chen W. Pass M. “Automated Occupant Model Evaluation and Correlation,” IMECE2005-81258, Proceedings of 2005 ASME International Mechanical Engineering Congress & Exposition November 5-11 2005 Orlando, Florida
- Jiang X. Yang R. J. Barbat S. Weerappuli P. “Bayesian Probabilistic PCA Approach for Model Validation of Dynamic Systems,” SAE 2009 World Congress and Exhibition Detroit, MI March 2009