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A dynamic self-adaptive turbulence modelling approach for swirling reactive flow in a dual-swirl gas turbine combustor

  • Beijing Institute of Technology
  • College of Energy and Power Engineering
  • Nanjing University of Aeronautics and Astronautics

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摘要

Swirling flames are the dominant configuration in modern gas turbine combustors, yet accurate and efficient numerical prediction of high-Reynolds number turbulent swirling reactive flows remains a long-standing challenge. Traditional large eddy simulation (LES) suffers from prohibitive computational cost for industrial applications due to its stringent near-wall grid resolution requirements. An improved dynamic turbulence modelling approach, named self-adaptive turbulence eddy simulation (SATES), featuring a dynamically formulated mode transition coefficient CH that significantly enhances near-wall modeling performance, is proposed in this work. Comprehensive numerical simulations of a well-documented dual-swirl gas turbine model combustor (GTMC) are conducted under both isothermal and reactive conditions, with comparisons to two LES models (with and without wall damping) and experimental measurements. The flamelet generated manifold (FGM) approach based on the detailed GRI-Mech 3.0 mechanism is employed for turbulent combustion modelling. The results demonstrate that the dynamic SATES method accurately reproduces the large-scale recirculation zones, flow split ratio (relative error < 9%), and the characteristic precessing vortex core (PVC) frequency (relative error < 2%) under isothermal conditions. In contrast, LES with wall damping predicts an unphysical Coandă jet due to inaccurate inflow split ratio estimation. For reactive flows, the SATES-FGM model achieves excellent agreement with experimental measurements of velocity, temperature, and major species distributions, and exhibits significantly lower grid sensitivity than LES. This study reveals that accurate prediction of the swirler flow split ratio is critical for reliable downstream flow and flame simulations, and demonstrates the promising potential of the dynamic SATES method for efficient and high-fidelity numerical simulations of industrial gas turbine combustors.

源语言英语
期刊论文编号113617
期刊Aerospace Science and Technology
卷180
DOI
出版状态已出版 - 1月 2027
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