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Resolution requirements in stochastic field simulation of turbulent premixed flames

Resolution requirements in stochastic field simulation of turbulent premixed flames
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 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.
1386-6184
1-16
Picciani, M.A.
f4318820-e11c-4345-af24-23806ce825b9
Richardson, E.S.
a8357516-e871-40d8-8a53-de7847aa2d08
Navarro-martinez, S.
a182c0e6-61af-4064-a9d8-4c0881ef943b
Picciani, M.A.
f4318820-e11c-4345-af24-23806ce825b9
Richardson, E.S.
a8357516-e871-40d8-8a53-de7847aa2d08
Navarro-martinez, S.
a182c0e6-61af-4064-a9d8-4c0881ef943b

Picciani, M.A., Richardson, E.S. and Navarro-martinez, S. (2018) Resolution requirements in stochastic field simulation of turbulent premixed flames. Flow Turbulence and Combustion, 1-16. (doi:10.1007/s10494-018-9953-z).

Record type: Article

Abstract

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.

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Accepted/In Press date: 15 June 2018
e-pub ahead of print date: 11 August 2018

Identifiers

Local EPrints ID: 425389
URI: http://eprints.soton.ac.uk/id/eprint/425389
ISSN: 1386-6184
PURE UUID: 0968a621-5c58-41f0-8ca7-bba7fdeea9af
ORCID for E.S. Richardson: ORCID iD orcid.org/0000-0002-7631-0377

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Date deposited: 17 Oct 2018 16:30
Last modified: 18 Mar 2024 03:17

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Contributors

Author: M.A. Picciani
Author: E.S. Richardson ORCID iD
Author: S. Navarro-martinez

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