Results 21 to 30 of about 19,041 (309)
Iterative Solvers for the Stochastic Finite Element Method [PDF]
SIAM Journal on Scientific Computing, 2010 This paper presents an overview and comparison of iterative solvers for linear stochastic partial differential equations (PDEs). A stochastic Galerkin finite element discretization is applied to transform the PDE into a coupled set of deterministic PDEs.
Eveline Rosseel, Stefan Vandewalle
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Buildings, 2021 Numerous parameters assumed in the calculations of the buildings’ energy demand are uncertain. Therefore, calculations should be accompanied by determination of propagation of such uncertainties in the mathematical model. In the article, the influence of
Marcin Koniorczyk, Witold Grymin
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Convergence of adaptive stochastic collocation with finite elements
Computers & Mathematics with Applications, 2021 36 pages, 9 ...
Michael Feischl, Andrea Scaglioni
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THE STOCHASTIC FINITE ELEMENT METHOD FOR NUCLEAR APPLICATIONS [PDF]
Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), 2016 Nuclear materials are subjected to demanding environments, encountering high temperature gradients and fast neutron fluxes that gradually damage its structure and there-fore change the material properties. Some components of a nuclear reactor determine its life-time, such as the graphite core and steel pressure vessel for fission reactors.
Mena, José David Arregui +6 more
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A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
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High-Speed Railway, 2023 Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and ...
Jiahuan Li +3 more
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Stochastic Finite Element for Structural Vibration [PDF]
Mathematical Problems in Engineering, 2010 This paper proposes a new method of calculating stochastic field. It is an improvement of the midpoint method of stochastic field. The vibration equation of a system is transformed to a static problem by using the Newmark method and the Taylor expansion is extended for the structural vibration analysis with uncertain factors.
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Convergence of Finite Element Methods for Singular Stochastic Control [PDF]
SIAM Journal on Control and Optimization, 2018 A numerical method is proposed for a class of stochastic control problems including singular behavior. This method solves an infinite-dimensional linear program equivalent to the stochastic control problem using a finite element type approximation, which results in a solvable finite-dimensional program.
Martin G. Vieten, Richard H. Stockbridge
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Majorization and semidoubly stochastic operators on L 1 ( X ) $L^{1}(X)$
Journal of Inequalities and Applications, 2023 This paper is devoted to a study of majorization based on semidoubly stochastic operators (denoted by S D ( L 1 ) $S\mathcal{D}(L^{1})$ ) on L 1 ( X ) $L^{1}(X)$ when X is a σ-finite measure space.
Seyed Mahmoud Manjegani, Shirin Moein
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Comparison of two approaches to compute magnetic field in problems with random domains [PDF]
, 2012 This paper is a postprint of a paper submitted to and accepted for publication in Science, Measurement & Technology, IET and is subject to Institution of Engineering and Technology Copyright.
MAC, Duy Hung +2 more
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