Probabilistic Assessment of CAE Models

2006-01-0456

04/03/2006

Event
SAE 2006 World Congress & Exhibition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2006-01-0456
Pages
9
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.
Additional Details
Publisher
Published
Apr 3, 2006
Product Code
2006-01-0456
Content Type
Technical Paper
Language
English