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Probabilistic Assessment of CAE Models
Technical Paper
2006-01-0456
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper investigates a wide range of statistical methods for application in model validation under uncertainty. Hypothesis testing methods are explored first and an interval-based testing is found to be more practically useful for model validation than the commonly used point null hypothesis testing. Also, a more direct approach is proposed by formulating model validation as a reliability estimation problem. The proposed methods are illustrated and compared using numerical examples.
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Citation
Rebba, R. and Mahadevan, S., "Probabilistic Assessment of CAE Models," SAE Technical Paper 2006-01-0456, 2006, https://doi.org/10.4271/2006-01-0456.Also In
Reliability and Robust Design in Automotive Engineering, 2006
Number: SP-2032; Published: 2006-04-03
Number: SP-2032; Published: 2006-04-03
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