Zobrazeno 1 - 10
of 20
pro vyhledávání: '"V. Gregory Weirs"'
Autor:
V. Gregory Weirs, Elaine M. Raybourn, Reed Milewicz, Killian Muollo, Jeffrey A. Mauldin, Thomas J. Otahal
Publikováno v:
2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV).
Autor:
Vicente J. Romero, V. Gregory Weirs
Publikováno v:
2018 AIAA Non-Deterministic Approaches Conference.
Publikováno v:
International Journal for Uncertainty Quantification. 3:255-270
In this paper we present the results from a series of focus groups on the visualization of uncertainty in equation-of-state (EOS) models. The initial goal was to identify the most effective ways to present EOS uncertainty to analysts, code developers
Autor:
Marco Ratto, Laura Painton Swiler, V. Gregory Weirs, James R. Kamm, Stefano Tarantola, Brian M. Adams, William J. Rider, Michael S. Eldred
Publikováno v:
Reliability Engineering & System Safety. 107:157-170
Sensitivity analysis is comprised of techniques to quantify the effects of the input variables on a set of outputs. In particular, sensitivity indices can be used to infer which input parameters most significantly affect the results of a computationa
Publikováno v:
Combustion Theory and Modelling. 10:727-747
We conduct several verification tests of the advection–reaction–diffusion flame-capturing model, developed by Khokhlov in 1995 for subsonic nuclear burning fronts in supernova simulations. We find that energy conservation is satisfied, but there
Autor:
V. Gregory Weirs
This report summarizes the results of a NEAMS project focused on the use of uncertainty and sensitivity analysis methods within the NEK-5000 and Dakota software framework for assessing failure probabilities as part of probabilistic risk assessment. N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a713352eb3aac037fba93256c6599daa
https://doi.org/10.2172/1155019
https://doi.org/10.2172/1155019
Autor:
V. Gregory Weirs
Prism is a ParaView plugin that simultaneously displays simulation data and material model data. This document describes its capabilities and how to use them. A demonstration of Prism is given in the first section. The second section contains more de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58cd6b217f8f996798d9ef1c4646a0df
https://doi.org/10.2172/1038200
https://doi.org/10.2172/1038200
Uncertainty quantification techniques are increasingly important in the interpretation of data and numerical simulations. Such techniques are typically employed either on data with poorly characterized underlying dynamics or on values from highly ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a404899200e4e0313b252b2ad9375ed7
http://publications.jrc.ec.europa.eu/repository/handle/JRC62989
http://publications.jrc.ec.europa.eu/repository/handle/JRC62989