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首页> 外文期刊>Building and Environment >CFD simulations on high-buoyancy gas dispersion in the wake of an isolated cubic building using steady RANS model and LES
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CFD simulations on high-buoyancy gas dispersion in the wake of an isolated cubic building using steady RANS model and LES

机译:使用稳定的RAN模型和LES孤立的立方体建筑物逐渐发生的高浮力气体分散的CFD模拟

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As the use of emergency generators for buildings increases, the near-field dispersion of high-temperature and high-buoyancy exhaust gas is becoming a concern. We conducted computational fluid dynamics (CFD) simulations using steady Reynolds-averaged Navier-Stokes (RANS) model and large eddy simulation (LES) on the near-field dispersion of high-buoyancy exhaust gas emitted from a building's wake and validated using a wind tunnel experiment. Realizable k-epsilon 2-layer and wall-adapting local eddy viscosity (WALE) models were used in RANS and LES, respectively. The density difference between the light gas and ambient air in the experiment was reproduced as the temperature difference by an incompressible ideal gas model. RANS model exhibited good agreement with the experimental flow field values for the time-averaged velocity but underestimated the turbulent kinetic energy. LES accurately predicted both the time-averaged velocity and turbulent kinetic energy. For the concentration field, RANS model predicted the region of high time-averaged concentration near the exhaust port but overestimated ground-level values. Meanwhile, LES adequately predicted time-averaged and fluctuating concentrations. Additionally, an investigation of the effect of the turbulent Schmidt number Sc-t in RANS model demonstrated that a small Sc-t increased the overall prediction accuracy, while a large Sc-t compensated for the overestimation on ground-level time-averaged concentrations.
机译:随着使用应急发生器的建筑物增加,高温和高浮力废气的近场分散正成为一个问题。我们使用稳定的雷诺平均天Navier-Stokes(RANS)模型和大型涡流仿真(LES)进行了计算流体动力学(CFD)模拟,以及在建筑物尾醒的高浮力废气近场分散,并使用风验证隧道实验。可实现的K-Epsilon 2层和壁式适应局部涡流粘度(WALE)模型分别用于RAN和LES。通过不可压缩的理想气体模型再现实验中的光气和环境空气之间的密度差异。 RAN模型与时间平均速度的实验流场值表现出良好的一致性,但低估了湍流动能。 LES精确地预测了时间平均速度和湍流动能。对于浓度场,RAN模型预测了排气口附近的高时间平均浓度的区域,而是高估的地层值。同时,LES充分预测时间平均和波动浓度。另外,湍流施密特数SC-T在RAN模型中的效果的研究表明,小SC-T增加了整体预测精度,而在地面级时间平均浓度上的高度估计的大型SC-T增加。

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