Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Barron J. Bichon"'
Publikováno v:
AIAA Aviation 2019 Forum.
Autor:
Erin C. DeCarlo, Barron J. Bichon
Publikováno v:
Annual Conference of the PHM Society. 10
This paper presents the first steps toward managing uncertainty and assessing risk within the national airspace system (NAS) by investigating the impact of uncertainty on “flight plan flexibility” (FPF) – a proposed quantitative measure of an a
Autor:
H. A.. Kim, Stephen P. Engelstad, Michael D. Sangid, Vasisht Venkatesh, Rob Gorham, Akin Keskin, Vikas Saraf, Dale L. Ball, Charles H. Ward, Ben H. Thacker, John F. Matlik, Barron J. Bichon
Publikováno v:
55th AIAA Aerospace Sciences Meeting.
Publikováno v:
Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017).
Publikováno v:
Reliability Engineering & System Safety. 96:1386-1395
Despite many advances in the field of computational reliability analysis, the efficient estimation of the reliability of a system with multiple failure modes remains a persistent challenge. Various sampling and analytical methods are available, but t
Publikováno v:
Journal of Structural Engineering. 131:369-379
A design procedure utilizing an ant colony optimization (ACO) technique is developed for discrete optimization of steel frames. The objective function considered is the total weight (or cost) of the structure subjected to serviceability and strength
Publikováno v:
16th AIAA Non-Deterministic Approaches Conference.
Publikováno v:
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures ISBN: 9781138000865
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c348980bf4339bfe12bdf1d11642c0e9
https://doi.org/10.1201/b16387-465
https://doi.org/10.1201/b16387-465
Publikováno v:
Journal of Mechanical Design. 135
Determining the optimal (lightest, least expensive, etc.) design for an engineered component or system that meets or exceeds a specified level of reliability is a problem of obvious interest across a wide spectrum of engineering fields. Various formu
Autor:
John McFarland, Barron J. Bichon
Publikováno v:
52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference.
focusing the training data in the vicinity of the limit state. The algorithm is naturally amenable to forward reliability analysis, since the limit state contour for which it searches is known a priori. This work presents an extension of the method f