基于自适应 TPDF-ASOM 燃烧模型的甲烷射流火焰和双旋流燃烧室模拟

王方 ,  雷思楠 ,  张敏琦 ,  韩宇轩 ,  金捷

燃烧科学与技术 ›› 2026, Vol. 32 ›› Issue (3) : 221 -232.

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燃烧科学与技术 ›› 2026, Vol. 32 ›› Issue (3) : 221 -232.

基于自适应 TPDF-ASOM 燃烧模型的甲烷射流火焰和双旋流燃烧室模拟

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Simulation of Methane Jet Flame and Dual-Vortex Combustion Chamber Based on the Adaptive TPDF-ASOM Combustion Model

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摘要

先进燃气轮机燃烧室设计需要对湍流火焰进行精确控制,提高模拟模型精度和效率至关重要。湍流与反应间的复杂非线性相互作用一直是挑战。本文针对湍流燃烧的局部特性,提出了自适应湍流燃烧模型的解决方案。在动态自适应燃烧模型研究基础上,类比湍流模拟的思路,提出了空间自适应燃烧模型。新模型将输运概率密度函数燃烧模型(transported probability density function combustion model,TPDF)与代数二阶矩燃烧模型 (algebraic second-order moment combustion model,ASOM)相结合,形成 TPDF-ASOM 模型。采用甲烷喷射火焰和煤油双漩涡燃烧器的实验数据进行验证,结果显示,新的 TPDF-ASOM 复合燃烧模型精度与 TPDF 模型相当,且能显著降低计算成本。临界准则可平衡仿真精度和效率。

Abstract

The design of advanced gas turbine combustors requires precise control of turbulent flames,and im-proving the accuracy and efficiency of simulation models is of vital importance.The complex nonlinear interactions between turbulence and chemical reactions have always been a challenge.This paper proposes a solution for an adaptive turbulent combustion model based on the local characteristics of turbulent combustion.Building on the research of dynamic adaptive combustion models and drawing on the ideas of turbulence simulation,this paper proposes a spatially adaptive combustion model.The new model is developed by integrating the transported prob-ability density function(TPDF)combustion model with the algebraic second-order moment(ASOM)combustion model,and is thus termed the TPDF-ASOM model.Experimental data from methane jet flames and kerosene dual-vortex burners are used for validation.The results show that the new TPDF-ASOM composite combustion model has accuracy comparable to that of the TPDF model and can significantly reduce computational costs.A critical criterion can balance simulation accuracy and efficiency.

关键词

概率密度函数输运方程湍流燃烧模型 / 代数二阶矩湍流燃烧模型 / 自适应 TPDF-ASOM 燃烧模型 / 达姆科勒数 Da

Key words

transported probability density function turbulent combustion model / algebraic second-order moment turbulent combustion model / adaptive TPDF-ASOM combustion model / Damkohler number

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王方,雷思楠,张敏琦,韩宇轩,金捷. 基于自适应 TPDF-ASOM 燃烧模型的甲烷射流火焰和双旋流燃烧室模拟[J]. 燃烧科学与技术, 2026, 32(3): 221-232 DOI:

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参考文献

[1]

Hochgreb S. Mind the gap:Turbulent combustion model validation and future needs[J]. Proceedings of the Com-bustion Institute, 2019, 37(2):2091-2107.

[2]

Peters N. Turbulent Combustion[M]. Cambridge: Cambridge University Press, 2000.

[3]

Pitsch H. Large-eddy simulation of turbulent combus-tion[J]. Annual Review of Fluid Mechanics, 2006, 38 (1):453-482.

[4]

吴显杨, 叶桃红, 朱明旻. 浓度分层下正庚烷自点火过程的直接数值模拟[J]. 燃烧科学与技术, 2019, 25 (4):353-358.

[5]

Wu Yuyang, Ye Taohong, Zhu Minming. Direct nu-merical sof n-heptane autoignition process with charge stratification[J]. Journal of Combustion Science and Technology, 2019, 25(4):353-358 (in Chinese).

[6]

谭莉, 亢银虎, 卢啸风. 二甲醚/空气湍流分层燃烧的直接数值模拟与机理研究[J]. 燃烧科学与技术, 2024, 30(2):196-204.

[7]

Tan Li, Kang Yinhu, Lu Xiaofeng. Direct numerical simulation and mechanism study of dimethyl ether/air turbulent stratified combustion[J]. Journal of Combus-tion Science and Technology, 2024, 30(2):196-204 (in Chinese).

[8]

Xu C, Ameen M M, Som S, et al. Dynamic adaptive combustion modeling of spray flames based on chemical explosive mode analysis[J]. Combustion and Flame, 2018, 195:30-39.

[9]

Duan Y, Xia Z, Ma L, et al. LES of the Sandia flame series D-F using the Eulerian stochastic field method coupled with tabulated chemistry[J]. Chinese Journal of Aeronautics, 2020, 33(1):116-133.

[10]

Yang T, Zhou H, Yin Y, et al. Zone-adaptive model-ing of turbulence flames with multiple chemical mecha-nisms[J]. Proceedings of the Combustion Institute, 2023, 39:2409-2418.

[11]

Pope S B. PDF methods for turbulent reactive flows[J]. Prog Energy Combust Sci, 1985, 11:119-192.

[12]

Klimenko A Y, Bilger R W. Conditional moment closure for turbulent combustion[J]. Progress in Energy and Combustion Science, 1999, 25:595-687.

[13]

Pierce C D, Moin P. Progress-variable approach for large-eddy simulation of non-premixed turbulent combus-tion[J]. J Fluid Mech, 2004, 504:73-97.

[14]

Bekdemir C, Somers L M T, De Goey L P H. Modeling diesel engine combustion using pressure dependent flamelet generated manifolds[J]. Proceedings of the Combustion Institute, 2011, 33:2887-2894.

[15]

Gicquel O, Darabiha N, Th é venin D, et al. Liminar premixed hydrogen/air counterflow flame simulations us-ing flame prolongation of ILDM with differential diffu-sion[J]. Proceedings of the Combustion Institute, 2000, 28:1901-1908.

[16]

Pitsch H, Barths H, Peters N. Three-dimensional mod-eling of NOx and soot formation in DI-diesel engines us-ing detailed chemistry based on the interactive flamelet approach[C]//SAE Transactions.1996:2010-2024.

[17]

Kundu P, Echekki T, Pei Y, et al. An equivalent dissi-pation rate model for capturing history effects in non-premixed flames[J]. Combustion and Flame, 2017, 176:202-212.

[18]

Zhou L X, Qiao L, Chen X L, et al. A USM turbu-lence-chemistry model for simulating NOx formation in turbulent combustion[J]. Fuel, 2002, 81(13):1703-1709.

[19]

Zhou L X. Development of SOM combustion model for Reynolds-averaged and large-eddy simulation of turbu-lent combustion and its validation by DNS[J]. Science in China(Series E:Technological Sciences), 2008(8): 1073-1086.

[20]

Wang F, Zhou L X, Xu C X. Large-eddy simulation of correlation moments in turbulent combustion and valida-tion of the RANS-SOM combustion model[J]. Fuel, 2006, 85:1242-1247.

[21]

Wang F, Xie X, Jiang Q, et al. Effect of turbulence on NO formation in swirling combustion[J]. Chinese Jour-nal of Aeronautics, 2014, 4:8-17.

[22]

王方. 湍流反应二阶矩模型的 RANS 模拟、LES 和 DNS 研究[D]. 北京: 清华大学, 2006.

[23]

Wang Fang. Studies on the Second Order Moment Turbu-lent Reaction Model by RANS,LES and DNS[D]. Bei-jing: Tsinghua University, 2006 (in Chinese).

[24]

Wang F, Zhou L X, Xu C X, et al. DNS-LES valida-tion of an algebraic second-order-moment combustion model[J]. Numerical Heat Transfer Part B Fundamen-tals, 2009, 55(6):523-532.

[25]

王方, 周力行, 许春晓, . 用 ASOM 和 PDF 方程模型模拟湍流射流燃烧[J]. 燃烧科学与技术, 2007, 13(5):431-436.

[26]

Wang Fang, Zhou Lixing, Xu Chunxiao, et al. Com-parison of ASOM model and PDF transport equation model in simulating turbulent jet combustion[J]. Journal of Combustion Science and Technology, 2007, 13 (5):431-436 (in Chinese).

[27]

Wang F, Zhou L X, Xu C X, et al. Comparison be-tween a composition PDF transport equation model and an ASOM model for simulating a turbulent jet flame[J]. International Journal of Heat and Mass Transfer, 2008, 51(1-2):136-144.

[28]

Luo K, Bai Y, Yang J, et al. A-priori validation of a second-order moment combustion model via DNS data-base[J]. International Journal of Heat and Mass Trans-fer, 2015, 86:415-425.

[29]

Luo K, Liu R Z. A priori and a posteriori studies of a direct moment closure approach for turbulent combustion using DNS data of a premixed flame[J]. Proceedings of the Combustion Institute, 2021, 38:3003-3011.

[30]

Jones W P, Marquis A J, Wang F. Large eddy simula-tion of a premixed propane turbulent bluff body flame us-ing the Eulerian stochastic field method[J]. Fuel, 2015, 140:514-525.

[31]

Wang F, Liu R, Dou L, et al. A dual timescale model for micromixing and its application in LES/TPDF simula-tions of turbulent nonpremixed flames[J]. Chinese Jour-nal of Aeronautics, 2019, 32 (4):875-887.

[32]

Wang Fang, Yang Zizheng, Shao Qi, et al. The influ-ence of the evaporation model on ethanol turbulent jet flame simulation[J]. Fuel, 2023(342): 127816.

[33]

Wang F, Wang YF, Wei G Y, et al. Flame structure of methane and kerosene combustion with a compact con-cave flame-holder using the LES-PDF method[J]. Jour-nal of Thermal Science, 2024, 33(1):222-234.

[34]

高东硕, 金捷, 沈硕, . 双旋流模型燃烧室高温区演化分析[J]. 燃烧科学与技术, 2021, 27(4): 434-442.

[35]

Gao Dongshuo, Jin Jie, Shen Shuo, et al. Evolution analysis of high temperature zones in a double-swirled model combustor[J]. Journal of Combustion Science and Technology, 2021, 27(4):434-442 (in Chinese).

[36]

Luo K, Bai Y, Yang J S, et al. A-priori validation of a second-order moment combustion model via DNS data-base[J]. International Journal of Heat and Mass Trans-fer, 2015, 86:415-425.

[37]

Jones W P, Prasad V N. Large eddy simulation of the Sandia Flame Series(D-F)using the Eulerian stochastic field method[J]. Combustion and Flame, 2010, 157(9):1621-1636.

[38]

Jones W P, Lindstedt R P. Global reaction schemes for hydrocarbon combustion[J]. Combustion and Flame, 1988, 73 (3):233-249.

[39]

Meier U, Johannes H, Stefan F, et al. Spray and flame structure of a generic injector at aeroengine condi-tions[J]. Journal of Engineering for Gas Turbines and Power, 2012, 134 (3): 031503.

[40]

Yamashita H, Shimada M, Takeno T. A numerical study on flame stability at the transition point of jet diffu-sion flames[J]. Proceedings of the Combustion Institute, 1996, 26 (1):27-34.

[41]

Mustata R, Valino L, Carmen J, et al. A probability density function Eulerian Monte Carlo field method for large eddy simulations:Application to a turbulent pi-loted methane/air diffusion flame(Sandia D)[J]. Com-bustion and Flame, 2006, 145(1/2):88-104.

基金资助

国家自然科学基金资助项目(20244BAB28005)

国家自然科学基金资助项目(20232ACB204026)

国家自然科学基金资助项目(12172345)

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