基于 ASOM 和 IBM 方法的双旋流燃烧室模拟

Turbulent combustion is prevalent in various power plants, where achieving a balance between high accuracy and efficiency in numerical simulations is crucial. The combination of Large Eddy Simulation (LES) with the Algebraic Second-Order Moment turbulent combustion model (ASOM) offers a promising solution, providing both computational accuracy and efficiency. Furthermore, the Immersed Boundary Method (IBM) proves effective in handling the intricate geometries of combustion chambers with precision. This study evaluates the ASOM model and algorithm using the Flame D algorithm, followed by a comparison of simulation results from the gas turbine model combustor (GTMC) utilizing body-fitted mesh and IBM mesh configurations. The findings indicate that the ASOM model demonstrates remarkable accuracy in turbulent combustion scenarios and exhibits robust suitability for two-phase turbulent combustion problems. Moreover, employing the LES-ASOM model in conjunction with IBM yields substantial reductions in computation time. Specifically, compared to the body-fitted mesh, implementing IBM leads to a six to tenfold decrease in computation duration while maintaining computational accuracy.