Methodology for characterizing modeling and discretization uncertainties in computational simulation

ALVIN,KENNETH F. ; OBERKAMPF,WILLIAM L. ; RUTHERFORD,BRIAN M. ; DIEGERT,KATHLEEN V.

Sandia National Laboratories

关键词: Computerized Simulation;    Data Covariances;    Probabilistic Estimation;    Mathematical Models;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/752055
RP-ID  :  SAND2000-0515
RP-ID  :  AC04-94AL85000
RP-ID  :  752055

美国|英语

来源: UNT Digital Library

【 摘 要 】

This research effort focuses on methodology for quantifying the effects of model uncertainty and discretization error on computational modeling and simulation. The work is directed towards developing methodologies which treat model form assumptions within an overall framework for uncertainty quantification, for the purpose of developing estimates of total prediction uncertainty. The present effort consists of work in three areas: framework development for sources of uncertainty and error in the modeling and simulation process which impact model structure; model uncertainty assessment and propagation through Bayesian inference methods; and discretization error estimation within the context of non-deterministic analysis.