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Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames
The spatial resolution requirements of the Stochastic Fields probability density function approach are investigated in the context of turbulent premixed combustion simulation. The Stochastic Fields approach is an attractive way to implement a transported Probability Density Function modelling framew...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297202/ https://www.ncbi.nlm.nih.gov/pubmed/30613189 http://dx.doi.org/10.1007/s10494-018-9953-z |
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author | Picciani, M. A. Richardson, E. S. Navarro-Martinez, S. |
author_facet | Picciani, M. A. Richardson, E. S. Navarro-Martinez, S. |
author_sort | Picciani, M. A. |
collection | PubMed |
description | The spatial resolution requirements of the Stochastic Fields probability density function approach are investigated in the context of turbulent premixed combustion simulation. The Stochastic Fields approach is an attractive way to implement a transported Probability Density Function modelling framework into Large Eddy Simulations of turbulent combustion. In premixed combustion LES, the numerical grid should resolve flame-like structures that arise from solution of the Stochastic Fields equation. Through analysis of Stochastic Fields simulations of a freely-propagating planar turbulent premixed flame, it is shown that the flame-like structures in the Stochastic Fields simulations can be orders of magnitude narrower than the LES filter length scale. The under-resolution is worst for low Karlovitz number combustion, where the thickness of the Stochastic Fields flame structures is on the order of the laminar flame thickness. The effect of resolution on LES predictions is then assessed by performing LES of a laboratory Bunsen flame and comparing the effect of refining the grid spacing and filter length scale independently. The usual practice of setting the LES filter length scale equal to grid spacing leads to severe under-resolution and numerical thickening of the flame, and to substantial error in the turbulent flame speed. The numerical resolution required for accurate solution of the Stochastic Fields equations is prohibitive for many practical applications involving high-pressure premixed combustion. This motivates development of a Thickened Stochastic Fields approach (Picciani et al. Flow Turbul. Combust. X, YYY (2018) in order to ensure the numerical accuracy of Stochastic Fields simulations. |
format | Online Article Text |
id | pubmed-6297202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-62972022019-01-03 Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames Picciani, M. A. Richardson, E. S. Navarro-Martinez, S. Flow Turbul Combust Article The spatial resolution requirements of the Stochastic Fields probability density function approach are investigated in the context of turbulent premixed combustion simulation. The Stochastic Fields approach is an attractive way to implement a transported Probability Density Function modelling framework into Large Eddy Simulations of turbulent combustion. In premixed combustion LES, the numerical grid should resolve flame-like structures that arise from solution of the Stochastic Fields equation. Through analysis of Stochastic Fields simulations of a freely-propagating planar turbulent premixed flame, it is shown that the flame-like structures in the Stochastic Fields simulations can be orders of magnitude narrower than the LES filter length scale. The under-resolution is worst for low Karlovitz number combustion, where the thickness of the Stochastic Fields flame structures is on the order of the laminar flame thickness. The effect of resolution on LES predictions is then assessed by performing LES of a laboratory Bunsen flame and comparing the effect of refining the grid spacing and filter length scale independently. The usual practice of setting the LES filter length scale equal to grid spacing leads to severe under-resolution and numerical thickening of the flame, and to substantial error in the turbulent flame speed. The numerical resolution required for accurate solution of the Stochastic Fields equations is prohibitive for many practical applications involving high-pressure premixed combustion. This motivates development of a Thickened Stochastic Fields approach (Picciani et al. Flow Turbul. Combust. X, YYY (2018) in order to ensure the numerical accuracy of Stochastic Fields simulations. Springer Netherlands 2018-08-11 2018 /pmc/articles/PMC6297202/ /pubmed/30613189 http://dx.doi.org/10.1007/s10494-018-9953-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Picciani, M. A. Richardson, E. S. Navarro-Martinez, S. Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames |
title | Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames |
title_full | Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames |
title_fullStr | Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames |
title_full_unstemmed | Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames |
title_short | Resolution Requirements in Stochastic Field Simulation of Turbulent Premixed Flames |
title_sort | resolution requirements in stochastic field simulation of turbulent premixed flames |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297202/ https://www.ncbi.nlm.nih.gov/pubmed/30613189 http://dx.doi.org/10.1007/s10494-018-9953-z |
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