An Introduction to Computational Fluctuating Hydrodynamics

Fuente: arXiv
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Auteurs principaux: Garcia, Alejandro L., Bell, John B., Nonaka, Andrew, Srivastava, Ishan, Ladiges, Daniel, Kim, Changho
Format: Preprint
Publié: 2024
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author Garcia, Alejandro L.
Bell, John B.
Nonaka, Andrew
Srivastava, Ishan
Ladiges, Daniel
Kim, Changho
author_facet Garcia, Alejandro L.
Bell, John B.
Nonaka, Andrew
Srivastava, Ishan
Ladiges, Daniel
Kim, Changho
contents These notes are an introduction to fluctuating hydrodynamics (FHD) and the formulation of numerical schemes for the resulting stochastic partial differential equations (PDEs). Fluctuating hydrodynamics was originally introduced by Landau and Lifshitz as a way to put thermal fluctuations into a continuum framework by including a stochastic forcing to each dissipative transport process (e.g., heat flux). While FHD has been useful in modeling transport and fluid dynamics at the mesoscopic scale, theoretical calculations have been feasible only with simplifying assumptions. As such there is great interest in numerical schemes for Computational Fluctuating Hydrodynamics (CFHD). There are a variety of algorithms (e.g., spectral, finite element, lattice Boltzmann) but in this introduction we focus on finite volume schemes. Accompanying these notes is a demonstration program in Python available on GitHub (https://github.com/AlejGarcia/IntroFHD).
format Preprint
id arxiv_https___arxiv_org_abs_2406_12157
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Introduction to Computational Fluctuating Hydrodynamics
Garcia, Alejandro L.
Bell, John B.
Nonaka, Andrew
Srivastava, Ishan
Ladiges, Daniel
Kim, Changho
Fluid Dynamics
Numerical Analysis
These notes are an introduction to fluctuating hydrodynamics (FHD) and the formulation of numerical schemes for the resulting stochastic partial differential equations (PDEs). Fluctuating hydrodynamics was originally introduced by Landau and Lifshitz as a way to put thermal fluctuations into a continuum framework by including a stochastic forcing to each dissipative transport process (e.g., heat flux). While FHD has been useful in modeling transport and fluid dynamics at the mesoscopic scale, theoretical calculations have been feasible only with simplifying assumptions. As such there is great interest in numerical schemes for Computational Fluctuating Hydrodynamics (CFHD). There are a variety of algorithms (e.g., spectral, finite element, lattice Boltzmann) but in this introduction we focus on finite volume schemes. Accompanying these notes is a demonstration program in Python available on GitHub (https://github.com/AlejGarcia/IntroFHD).
title An Introduction to Computational Fluctuating Hydrodynamics
topic Fluid Dynamics
Numerical Analysis
url https://arxiv.org/abs/2406.12157