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Fokker–Planck linearization for non-Gaussian stochastic elastoplastic finite elements · Study

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ArticleFokker–Planck linearization for non-Gaussian stochastic elastoplastic finite elements

Konstantinos Karapiperis2016

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Articlebronze2016

Fokker–Planck linearization for non-Gaussian stochastic elastoplastic finite elements

Konstantinos Karapiperis · Kallol Sett · M. Levent Kavvas · Boris Jeremić

18 citations·0/0 files stored·Computer Methods in Applied Mechanics and Engineering

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Probabilistic and Robust Engineering Design Advanced Numerical Methods in Computational Mathematics Geotechnical Engineering and Analysis

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References

1991Stochastic Finite Elements: A Spectral Approach 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data 1993Optimal Discretization of Random Fields 2004Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure 2009Fast Numerical Methods for Stochastic Computations: A Review 2010Spectral methods for uncertainty quantification : with applications to computational fluid dynamics 2004Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations

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2019Experimental and numerical investigations of statistical size effect in S235JR steel structural elements 2025Stochastic dynamic response analysis based on reduced dimension probability evolution equation under additive Gaussian white noise

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Year2016

Typearticle

Published2016-05-11

VenueComputer Methods in Applied Mechanics and Engineering

ISSN-L0045-7825

Languageen

Citations18

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.cma.2016.05.001

openalex_workW2385809190

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