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Stochastic finite element method with simple random elements [PDF]
, 2008 We propose a variant of the stochastic finite element method, where the random elements occuring in the problem formulation are approximated by simple random elements, i.e. random elements with only a finite number of possible values.
Starkloff, Hans-Jörg
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Stochastic Finite Element Method for Modelling Heat Transfer in the Building Envelope [PDF]
E3S Web of Conferences, 2020 Improving the energy efficiency of the buildings is one of the most effective and fastest ways of reduction of the carbon dioxide emission. However, in the assessment of the energy demand of the buildings, numerous factors are uncertain, i.e.
Grymin Witold, Koniorczyk Marcin
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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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Scientific Reports, 2021 The uncertainty and fluctuations in graphene characteristic parameters are inevitable issues in both of experimental measurements and numerical investigations.
Liu Chu +2 more
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Solution of Large Stochastic Finite Element Problems – Application to ECT-NDT [PDF]
, 2013 Version éditeur disponible à cette adresse : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514633This paper describes an efficient bloc iterative solver for the Spectral Stochastic Finite Element Method (SSFEM). The SSFEM was widely used to
MOREAU, Olivier +3 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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International Journal of Applied Mechanics and Engineering, 2015 The main purpose of this work is to verify the influence of the weighting procedure in the Least Squares Method on the probabilistic moments resulting from the stability analysis of steel skeletal structures.
M. Kamiński, J. Szafran
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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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Nanomaterials, 2023 Buckled graphene has potential applications in energy harvest, storage, conversion, and hydrogen storage. The investigation and quantification analysis of the random porosity in buckled graphene not only contributes to the performance reliability ...
Jiajia Shi +3 more
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A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method [PDF]
SIAM Journal on Numerical Analysis, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Diane Guignard, Fabio Nobile
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