skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Methodology for characterizing modeling and discretization uncertainties in computational simulation

Abstract

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.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
752055
Report Number(s):
SAND2000-0515
TRN: AH200021%%298
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Mar 2000
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; MATHEMATICAL MODELS; COMPUTERIZED SIMULATION; DATA COVARIANCES; PROBABILISTIC ESTIMATION

Citation Formats

ALVIN, KENNETH F, OBERKAMPF, WILLIAM L, RUTHERFORD, BRIAN M, and DIEGERT, KATHLEEN V. Methodology for characterizing modeling and discretization uncertainties in computational simulation. United States: N. p., 2000. Web. doi:10.2172/752055.
ALVIN, KENNETH F, OBERKAMPF, WILLIAM L, RUTHERFORD, BRIAN M, & DIEGERT, KATHLEEN V. Methodology for characterizing modeling and discretization uncertainties in computational simulation. United States. https://doi.org/10.2172/752055
ALVIN, KENNETH F, OBERKAMPF, WILLIAM L, RUTHERFORD, BRIAN M, and DIEGERT, KATHLEEN V. 2000. "Methodology for characterizing modeling and discretization uncertainties in computational simulation". United States. https://doi.org/10.2172/752055. https://www.osti.gov/servlets/purl/752055.
@article{osti_752055,
title = {Methodology for characterizing modeling and discretization uncertainties in computational simulation},
author = {ALVIN, KENNETH F and OBERKAMPF, WILLIAM L and RUTHERFORD, BRIAN M and DIEGERT, KATHLEEN V},
abstractNote = {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.},
doi = {10.2172/752055},
url = {https://www.osti.gov/biblio/752055}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2000},
month = {Wed Mar 01 00:00:00 EST 2000}
}