READ ME File For Data for "A Thickened Stochastic Fields Approach For Turbulent Combustion Simulation"

Dataset DOI: 10.5258/SOTON/D0576

ReadMe Author: YOUR NAME, University of Southampton

This dataset supports the publication:
Picciani, M. A., Richardson, E. S., & Navarro-martinez, S. (2018). A thickened stochastic fields approach for turbulent combustion simulation. Flow Turbulence and Combustion, 1-18.

Picciani, M. A., Richardson, E., & Navarro-Martinez, S. (2018). A thickened stochastic fields approach for turbulent combustion simulation. Paper presented at Tenth Mediterranean Combustion Symposium, Napoli, Italy.

DESCRIPTION:
This dataset supports the following figures:

Fig. 3  Wrinkling factor ST∆/SL (left) and non-dimensional reaction front thickness δc∗/δL (right) versus sub-filter turbulence intensity u′∆/SL for well-resolved Stochastic Fields (∆x << ∆), Stochastic Fields simulation with ∆x = ∆, and the curve fit to the well resolved data given by Eq 13
Fig. 6  Instantaneous temperature contours of an individual stochastic field from the Bunsen flame LES: Stochastic Fields with ∆x = 0.5mm ∆ = 1.0 mm; Stochastic Fields with ∆x = ∆ = 1.0 mm; Thickened Stochastic Fields with ∆x = ∆ = 1.0mm
Fig. 8  Radial distributions of the time-averaged methane mass fraction 〈YCH4〉 and the normalised mean axial velocity at various axial locations for the three different simulations

Date of data collection: 1/6/2014-1/1/2018

Information about geographic location of data collection: University of Southampton, U.K.

Related projects:
Richardson ES - EPSRC career acceleration fellowship
E Richardson - High Performance Computing for United Kingdom Consortium on Turbulent Reacting Flows (UKCTRF)

Date that the file was created: October 2018