Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Kathleen V. Diegert"'
Publikováno v:
Quality Engineering. 26:416-423
Three metrics have been been developed to assess the National Nuclear Security Agency (NNSA) Surveillance Program against its objectives of detecting defects, determining margins and validating predictions. The surveillance metrics use statistical me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f9bb836b8c19b5f9dbe22a3597a40b
https://doi.org/10.1080/08982112.2013.872795
https://doi.org/10.1080/08982112.2013.872795
Autor:
K. F. Alvin, William L. Oberkampf, Brian Milne Rutherford, Kathleen V. Diegert, Sharon M. Deland
Publikováno v:
Reliability Engineering & System Safety. 75:333-357
This article develops a general framework for identifying error and uncertainty in computational simulations that deal with the numerical solution of a set of partial differential equations (PDEs). A comprehensive, new view of the general phases of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cce4aff707ddfb5b86f160c754c99906
https://doi.org/10.1016/s0951-8320(01)00120-x
https://doi.org/10.1016/s0951-8320(01)00120-x
Autor:
Kathleen V. Diegert, Frances V. Stohl
Publikováno v:
Energy & Fuels. 8:117-123
The use of low amounts (≤ 0.5 wt %) of unsupported, fine-particle size (< 40 nm), iron-based catalysts in direct coal liquefaction has the potential to enhance desired reactions and minimize retrogressive reactions because of the very high surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7cb485040339e280b46215712527c5d
https://doi.org/10.1021/ef00043a020
https://doi.org/10.1021/ef00043a020
Autor:
Michael J Mundt, Rena M. Zurn, Quinn Fatherley, Michael A. Dvorack, James T. Ringland, Kathleen V. Diegert, John F. Lorio, Aparna V. Huzurbazar, Christine M. Anderson-Cook, Alyson G. Wilson
This paper develops Classical and Bayesian methods for quantifying the uncertainty in reliability for a system of mixed series and parallel components for which both go/no-go and variables data are available. Classical methods focus on uncertainty du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c497a91fc50311bc76595c859c5fcfb
https://doi.org/10.2172/970305
https://doi.org/10.2172/970305
Autor:
Rena M. Zurn, Matthew D. Grace, James T. Ringland, Philippe Pierre Pebay, Youssef M. Marzouk, John Red-Horse, Paul T. Boggs, Kathleen V. Diegert
The purpose of this project was to investigate the use of Bayesian methods for the estimation of the reliability of complex systems. The goals were to find methods for dealing with continuous data, rather than simple pass/fail data; to avoid assumpti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fbc8ad3de272193c790b20a64946f09
https://doi.org/10.2172/993614
https://doi.org/10.2172/993614
Publikováno v:
Technometrics. 33:287-298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d358eba1bcd2f38ecee7e35fb06aaf2d
https://doi.org/10.1080/00401706.1991.10484835
https://doi.org/10.1080/00401706.1991.10484835
Autor:
Timothy G. Trucano, Kathleen V. Diegert, Martin Pilch, Scott Edward Klenke, George Charles Novotny, Paulsen Robert A.
This paper presents the conceptual framework that is being used to define quantification of margins and uncertainties (QMU) for application in the nuclear weapons (NW) work conducted at Sandia National Laboratories. The conceptual framework addresses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c5d202f1fd84daf923453cca98717d3
https://doi.org/10.2172/933214
https://doi.org/10.2172/933214
Autor:
Youssef M. Marzouk, Paul T. Boggs, John Red-Horse, Kathleen V. Diegert, Philippe Pierre Pebay, Rena M. Zurn
Current work on the Integrated Stockpile Evaluation (ISE) project is evidence of Sandia's commitment to maintaining the integrity of the nuclear weapons stockpile. In this report, we undertake a key element in that process: development of an analytic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15aeea939416a935c681d9d15d50015d
https://doi.org/10.2172/922080
https://doi.org/10.2172/922080
Methodology for characterizing modeling and discretization uncertainties in computational simulation
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 w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23405de0a5c73ed040af55bf991578fd
https://doi.org/10.2172/752055
https://doi.org/10.2172/752055
Conference
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