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Numerical solution of the Fokker–Planck equation using physics-based mixture models · Study

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ArticleNumerical solution of the Fokker–Planck equation using physics-based mixture models

Armin Tabandeh2022

Article2022

Numerical solution of the Fokker–Planck equation using physics-based mixture models

Armin Tabandeh · Neetesh Sharma · Leandro Iannacone · Paolo Gardoni

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

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Probabilistic and Robust Engineering Design Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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References

1976Method for Random Vibration of Hysteretic Systems 1976Probabilistic Theory of Structural Dynamics 1967Probabilistic Structural Dynamics: Advanced Theory and Applications 2013An Introduction to Stochastic Differential Equations 1997A state-of-the-art report on computational stochastic mechanics 1993On the numerical solution of the Fokker-Planck equation for nonlinear stochastic systems 2022A review and assessment of importance sampling methods for reliability analysis 2000Efficient path integration methods for nonlinear dynamic systems

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2025DR-PDEE-based probabilistic response analysis for high-dimensional nonlinear dynamical systems under general non-white and non-stationary random excitations via constructing the auxiliary diffusion process 2025Stochastic dynamic response analysis based on reduced dimension probability evolution equation under additive Gaussian white noise

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Year2022

Typearticle

Published2022-08-03

VenueComputer Methods in Applied Mechanics and Engineering

ISSN-L0045-7825

Languageen

Citations23

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.cma.2022.115424

openalex_workW4289636634

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