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Performance evaluation by computational fluid dynamics modelling of the heavy gas dispersion with a low Froude number in a built environment

机译:建筑环境中具有低弗劳德数的重型气体分散的计算流体动力学绩效评估

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摘要

To evaluate the dispersion of a heavy gas, such as sulphur hexafluoride, with a low Froude number in a built environment, an experimental and numerical simulation study was conducted. The experiment was carried out using seven different injection inlet configurations in an experimental chamber. The release rate was found to have a great effect on the concentration in the lower part of the chamber. The obstacle in the middle of the chamber could cause a non-uniform distribution of concentration, particularly due to variations in locations and angles of the release outlets. Additionally, numerical simulations were carried out to evaluate four turbulence models: the standard k-epsilon model, the realizable k-epsilon model, the re-normalization group (RNG) k-epsilon model and the shear stress transport (SST) k-omega model. Four indicators were used to evaluate the turbulent model performance. In general, the SST k-omega model performed the best, with geometric mean bias (MG) = 0.968 and geometric variance (VG) = 1.09 at 0.055 m height, and with MG = 0.384 and VG = 2.80 at 0.6 m height. The standard k-epsilon model was the next best in performance, followed by the realizable k-epsilon and the RNG k-epsilon model.
机译:为了评估重气液的分散,例如六氟化硫,在建筑环境中具有低弗劳德数,进行了实验和数值模拟研究。在实验室中使用七种不同的注射入口配置进行实验。发现释放率对腔室下部的浓度具有很大的影响。腔室中间的障碍物可能导致浓度的不均匀分布,特别是由于释放出口的位置和角度的变化。另外,进行数值模拟以评估四种湍流模型:标准K-epsilon模型,可实现的K-epsilon模型,可实现的K-epsilon模型,重标准组(RNG)K-Epsilon模型和剪切应力传输(SST)K-Omega模型。四个指标用于评估湍流模型性能。通常,SST k-Omega模型最佳,具有几何平均偏置(Mg)= 0.968和几何方差(Vg)= 1.09,高度,Mg = 0.384和Vg = 2.80,高度为0.6米。标准K-EPSILON模型是下一个性能,其次是可实现的K-EPSILON和RNG K-EPSILON模型。

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