Large eddy simulations of a buoyant turbulent line flame using conditional source-term estimation (CSE)

References

• Y. Chen, J. Fang, X. Zhang, Y. Miao, Y. Lin, R. Tu, and L. Hu, Pool fire dynamics: Principles, models and recent advances, Prog. Energy Combust. Sci. 95 (2023), pp. 101070.
   Web of Science ®Google Scholar
• A. Trouvé and Y. Wang, Large eddy simulation of compartment fires, Int. J. Comput. Fluid Dyn.24(10) (2010), pp. 449–466.
   Web of Science ®Google Scholar
• B. Merci and T. Beji, Fluid mechanics aspects of fire and smoke dynamics in enclosures, CRC Press Leiden, London, 2022.
   Google Scholar
• A. Brown, M. Bruns, M. Gollner, J. Hewson, G. Maragkos, A. Marshall, R. McDermott, B. Merci, T. Rogaume, S. Stoliarov, J. Torero, A. Trouvé, Y. Wang, and E. Weckman, Proceedings of the first workshop organized by the IAFSS Working Group on Measurement and Computation of Fire Phenomena (MaCFP), Fire Saf. J. 101 (2018), pp. 1–17.
   Web of Science ®Google Scholar
• J. White, E. Link, A. Trouvé, P. Sunderland, A. Marshall, J. Sheffel, M. Corn, M. Colket, M. Chaos, and H.-Z. Yu, Radiative emissions measurements from a buoyant, turbulent line flame under oxidizer-dilution quenching conditions, Fire Saf. J. 76 (2015), pp. 74–84.
   Web of Science ®Google Scholar
• J.P. White, Measurement and simulation of suppression effects in a buoyant turbulent line fire, Ph.D. thesis, University of Maryland, College Park, 2016.
   Google Scholar
• J. White, E. Link, A. Trouvé, P. Sunderland, and A. Marshall, A general calorimetry framework for measurement of combustion efficiency in a suppressed turbulent line fire, Fire Saf. J. 92 (2017), pp. 164–176.
   Web of Science ®Google Scholar
• S. Vilfayeau, J. White, P. Sunderland, A. Marshall, and A. Trouvé, Large eddy simulation of flame extinction in a turbulent line fire exposed to air-nitrogen co-flow, Fire Saf. J. 86 (2016), pp. 16–31.
   Web of Science ®Google Scholar
• J. White, S. Vilfayeau, A. Marshall, A. Trouve, and R. McDermott, Modeling flame extinction and reignition in large eddy simulations with fast chemistry, Fire Saf. J. 90 (2017), pp. 72–85.
   PubMed Web of Science ®Google Scholar
• G. Maragkos and B. Merci, Large eddy simulations of flame extinction in a turbulent line burner, Fire Saf. J. 105 (2019), pp. 216–226.
   Web of Science ®Google Scholar
• M. Modest, The weighted-sum-of-gray-gases model for arbitrary solution methods in radiative transfer, J. Heat Tran. 113 (1991), pp. 650–656.
   Web of Science ®Google Scholar
• V.M. Le, A. Marchand, S. Verma, R. Xu, J. White, A. Marshall, T. Rogaume, F. Richard, J. Luche, and A. Trouvé, Simulations of a turbulent line fire with a steady flamelet combustion model coupled with models for non-local and local gas radiation effects, Fire Saf. J. 106 (2019), pp. 105–113.
   Web of Science ®Google Scholar
• L. Ma, F. Nmira, and J.-L. Consalvi, Modelling extinction/re-ignition processes in fire plumes under oxygen-diluted conditions using flamelet tabulation approaches, Combust. Theor. Model. 26 (2022), pp. 613–636.
   Web of Science ®Google Scholar
• R. Xu, V.M. Le, A. Marchand, S. Verma, T. Rogaume, F. Richard, J. Luche, and A. Trouvé, Simulations of the coupling between combustion and radiation in a turbulent line fire using an unsteady flamelet model, Fire Saf. J. 120 (2021), p. 103101.
   Web of Science ®Google Scholar
• B. Kruljevic, I. Stankovic, and B. Merci, Large eddy simulations of the UMD line burner with the conditional moment closure method, Fire Saf. J. 116 (2020), pp. 103206.
   Web of Science ®Google Scholar
• W.K. Bushe and H. Steiner, Laminar flamelet decomposition for conditional source-term estimation, Phys. Fluids 15 (2003), pp. 1564–1575.
   Web of Science ®Google Scholar
• J.W. Labahn and C.B. Devaud, Investigation of conditional source-term estimation applied to a non-premixed turbulent flame, Combust. Theor. Model. 17(5) (2013), pp. 960–982.
   Web of Science ®Google Scholar
• J. Labahn and C. Devaud, Large eddy simulations (LES) including conditional source-term estimation (CSE) applied to two Delft-Jet-in-Hot-Coflow (DJHC) flames, Combust. Flame 164 (2016), pp. 68–84.
   Web of Science ®Google Scholar
• J.W. Labahn, I. Stanković, C.B. Devaud, and B. Merci, Comparative study between Conditional Moment Closure (CMC) and Conditional Source-term Estimation (CSE) applied to piloted jet flames, Combust. Flame 181 (2017), pp. 172–187.
   Web of Science ®Google Scholar
• M. Mortada and C. Devaud, Large eddy simulation of lifted turbulent flame in cold air using doubly conditional source-term estimation, Combust. Flame 208 (2019), pp. 420–435.
   Web of Science ®Google Scholar
• S.M. Ashrafizadeh and C. Devaud, Investigation of conditional source-term estimation coupled with a semi-empirical model for soot predictions in two turbulent flames, Combust. Theor. Model. 26(5) (2022), pp. 856–878.
   Web of Science ®Google Scholar
• A. Hussien and C.B. Devaud, Simulations of turbulent acetone spray flames using the conditional source term estimation (CSE) approach, Combust. Theor. Model. 25(2) (2021), pp. 269–292.
   Web of Science ®Google Scholar
• A. Hussien and C. Devaud, Simulations of partially premixed turbulent ethanol spray flames using doubly conditional source term estimation (DCSE), Combust. Flame 239 (2022), p. 111651.
   Web of Science ®Google Scholar
• A. Hussien and C. Devaud, LES study of turbulent ethanol spray flames using CSE coupled with non-adiabatic chemistry tables, Proc. Combust. Inst. 39 (2022), pp. 2379–2388.
   Web of Science ®Google Scholar
• T. Poinsot and D. Veynante, Theoretical and numerical combustion, RT Edwards, Inc., Philadelphia, 2005.
   Google Scholar
• A.Y. Klimenko and R.W. Bilger, Conditional moment closure for turbulent combustion, Prog. Energy Combust. Sci. 25 (1999), pp. 595–687.
   Web of Science ®Google Scholar
• W. Bushe, Spatial gradients of conditional averages in turbulent flames, Combust. Flame 192 (2018), pp. 314–339.
   Web of Science ®Google Scholar
• R. Grout, W.K. Bushe, and C. Blair, Predicting the ignition delay of turbulent methane jets using conditional source-term estimation, Combust. Theor. Model. 11(6) (2007), pp. 1009–1028.
   Web of Science ®Google Scholar
• G. Nivarti, M. Salehi, and W. Bushe, A mesh partitioning algorithm for preserving spatial locality in arbitrary geometries, J. Comput. Phys. 281 (2015), pp. 352–364.
   Web of Science ®Google Scholar
• H. Tsui and W. Bushe, Conditional source-term estimation using dynamic ensemble selection and parallel iterative solution, Combust. Theor. Model. 20(5) (2016), pp. 812–833.
   Web of Science ®Google Scholar
• S. Girimaji, Assumed β-pdf model for turbulent mixing: Validation and extension to multiple scalar mixing, Combust. Sci. Technol. 78(4-6) (1991), pp. 177–196.
   Web of Science ®Google Scholar
• S. Pope and U. Maas, Simplifying chemical kinetics: Trajectory-generated low-dimensional manifolds, Mechanical and Aerospace Engineering Report, Ithaca, NY, Report No. FDA (1993) 93–11
   Google Scholar
• J. Huang and W. Bushe, Simulation of transient turbulent methane jet ignition and combustion under engine-relevant conditions using conditional source-term estimation with detailed chemistry, Combust. Theor. Model. 11 (2007), pp. 977–1008.
   Web of Science ®Google Scholar
• P.C. Hansen, Numerical tools for analysis and solution of fredholm integral equations of the first kind, Inverse. Probl. 8(6) (1992), pp. 849.
   Web of Science ®Google Scholar
• R.A. Willoughby, Solutions of ill-posed problems (AN Tikhonov and VY Arsenin), SIAM Rev. 21(2) (1979), pp. 266.
   Google Scholar
• G.P. Smith, Gri-mech 3.0, 1999. Available at http://www.me.berkley.edu/gri_mech/.
   Google Scholar
• R.J. Renka, Algorithm 751: Tripack: A constrained two-dimensional delaunay triangulation package, ACM Trans. Math. Softw. 22(1) (1996), pp. 1–8.
   Web of Science ®Google Scholar
• G. Maragkos, T. Beji, and B. Merci, Advances in modelling in CFD simulations of turbulent gaseous pool fires, Combust. Flame 181 (2017), pp. 22–38.
   Web of Science ®Google Scholar
• M.M. Ahmed and A. Trouvé, Large eddy simulation of the unstable flame structure and gas-to-liquid thermal feedback in a medium-scale methanol pool fire, Combust. Flame 225 (2021), pp. 237–254.
   Web of Science ®Google Scholar
• W.L. Grosshandler, A narrow-band model for radiation calculations in a combustion, Environment NIST Tech (1993).
   Google Scholar
• TNF Workshop, radiation models. Available at https://tnfworkshop.org/radiation/.
   Google Scholar
• P.J. Coelho, Numerical simulation of the interaction between turbulence and radiation in reactive flows, Prog. Energy Combust. Sci. 33(4) (2007), pp. 311–383.
   Web of Science ®Google Scholar
• OpenFOAM-7, FireFOAM solver. Available at https://github.com/OpenFOAM/OpenFOAM-7/tree/master/applications/solvers/combustion/fireFoam.
   Google Scholar
• J. Smagorinsky, General circulation experiments with the primitive equations: I. The basic experiment, Mon. Weather Rev. 91(3) (1963), pp. 99–164.
   Google Scholar
• C. Greenshields, OpenFOAM v8 User Guide: 5.2 Boundaries, July 2020. Available at https://cfd.direct/openfoam/user-guide/v8-boundaries/#x25-1770005.2.
   Google Scholar
• A. Hamins and A. Lock, The structure of a moderate-scale methanol pool fire, TN-1928, NIST, 2016
   Google Scholar
• L. Ma, F. Nmira, and J.-L. Consalvi, Large eddy simulation of medium-scale methanol pool fires-effects of pool boundary conditions, Combust. Flame 222 (2020), pp. 336–354.
   Web of Science ®Google Scholar
• B. Merci, J. Li, and G. Maragkos, On the importance of the heat release rate in numerical simulations of fires in mechanically ventilated air-tight enclosures, Proc. Combust. Inst. 39 (2023), pp. 3647–3672.
   Web of Science ®Google Scholar
• J. Consalvi and F. Nmira, Absorption turbulence-radiation interactions in sooting turbulent jet flames, J Quant. Spectrosc. Radiat. Transf. 201 (2017), pp. 1–9.
   Web of Science ®Google Scholar