首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Assessment of spectral narrow band and weighted-sum-of-gray-gases models for computational fluid dynamics simulations of pool fires
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Assessment of spectral narrow band and weighted-sum-of-gray-gases models for computational fluid dynamics simulations of pool fires

机译:光谱窄带和灰色气体加权和模型的评估,用于水池火灾的计算流体动力学模拟

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摘要

The statistical narrow band (SNB), correlated-k (CK), and weighted-sum-of-gray-gases (WSGG) models have been incorporated into a computational fluid dynamics (CFD) code. Their accuracy and computing times are evaluated for three pool fires scenarios. CFD-CK and CFD_SNB yield similar predictions, and the former is three times more CPU demanding than the latter. CFD-CK is unrealistic for practical fire applications. Temperature and velocity predictions with CFD-WSGG and CFD-SNB agree better in the persistent and plume regions, but significant discrepancies are found in the intermittent region. The overall predictions of the two approaches show reasonable agreement. The WSGG model should not be discarded for CFD fire simulations.
机译:统计窄带(SNB),相关k(CK)和加权灰色气体总和(WSGG)模型已合并到计算流体动力学(CFD)代码中。针对三种池火灾情况评估了它们的准确性和计算时间。 CFD-CK和CFD_SNB得出相似的预测,并且前者的CPU需求是后者的三倍。 CFD-CK对于实际消防应用是不现实的。使用CFD-WSGG和CFD-SNB进行的温度和速度预测在持久性和羽状区域中的一致性更好,但是在间歇性区域中发现了显着差异。两种方法的总体预测显示出合理的一致性。 WSGG模型不应用于CFD火灾模拟。

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