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Modeling Heavy-Gas Dispersion in Air with Two-Layer Shallow Water Equations

机译:用双层浅水方程在空气中建模重型气体分散体

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Computation of gas dispersal in urban places or hilly grounds requires a large amount of computer time when addressed with conventional multidimensional models. Those are usually based on two-phase flow or Navier-Stokes equations. Different classes of simplified models exist. Among them, two-layer shallow water models are interesting to address large-scale dispersion. Indeed, compared to conventional multidimensional approaches, 2D simulations are carried out to mimic 3D effects. The computational gain in CPU time is consequently expected to be tremendous. However, such models involve at least three fundamental difficulties. The first one is related to the lack of hyperbolicity of most existing formulations, yielding serious consequences regarding wave propagation. The second is related to the non-conservative terms in the momentum equations. Those terms account for interactions between fluid layers. Recently, these two difficulties have been addressed in Chiapolino and Saurel (2018) and an unconditional hyperbolic model has been proposed along with a Harten-Lax-van Leer (HLL) type Riemann solver dealing with the non-conservative terms. In the same reference, numerical experiments showed robustness and accuracy of the formulation. In the present paper, a third difficulty is addressed. It consists of the determination of appropriate drag effect formulation. Such effects also account for interactions between fluid layers and become of particular importance when dealing with heavy-gas dispersion. With this aim, the model is compared to laboratory experiments in the context of heavy gas dispersal in quiescent air. It is shown that the model accurately reproduces experimental results thanks to an appropriate drag force correlation. This function expresses drag effects between the heavy and light gas layers. It is determined thanks to various experimental configurations of dam-break test problems.
机译:在城市地点或丘陵地上的煤气分散计算需要大量的计算机时间,以传统的多维模型解决。这些通常基于两相流或Navier-Stokes方程。存在不同类别的简化模型。其中,两层浅水模型有趣地解决了大规模的分散。实际上,与传统的多维方法相比,执行2D模拟以模拟3D效应。因此,CPU时间的计算增益预期是巨大的。然而,这些模型涉及至少三个基本困难。第一个与大多数现有配方的缺乏缺乏性有关,产生关于波传播的严重后果。第二个与动量方程中的非保守术语有关。这些条款占流体层之间的相互作用。最近,在ChiaPolino和Saurel(2018年)中已经解决了这两种困难,并且已经提出了无条件的双曲线模型以及Harten-Lax-Van Leer(HLL)类型的Riemann Solver处理非保守术语。在相同的参考文献中,数值实验表明了制剂的鲁棒性和准确性。在本文中,解决了第三个困难。它包括确定适当的阻力效应制剂。这种效果还考虑了流体层之间的相互作用,并且在处理重气分散时变得特别重要。通过这种目标,将该模型与静气空气中重气脉散射的实验室实验进行比较。结果表明,由于适当的阻力力相关性,模型精确地再现了实验结果。该功能表达了重型和轻质气层之间的拖动效果。由于坝断析测试问题的各种实验配置,确定了它。

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