两相岩浆流动与相交换:第二部分:火山导管的 1.5D 数值模拟火山导管的 1.5D 数值模拟

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-09-12 DOI:10.1111/sapm.12747
Alain Burgisser, Marielle Collombet, Gladys Narbona‐Reina, Didier Bresch
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引用次数: 0

摘要

在同卷的一篇综述论文中,我们介绍了从单相系统到两相系统的可压缩粘性流建模技术的现状。论文重点讨论了与弱稳定性相关的数学特性,因为这些特性对于数值分辨率非常重要,同时还讨论了从两个独立相的微观描述到平均两相模型的均质化过程。本综述是第一部分和第二部分的基础,这两部分介绍了适用于火山喷发过程中岩浆流动的具有相交换的平均两相模型。第一部分建立了一个两相瞬态导管流模型,确保:(1)质量和挥发物物种守恒;(2)考虑粘性松弛和挥发物扩散的非平衡脱气;以及(3)总能量耗散。然后,利用该模型的弛豫极限得到一个可简化的漂移-流动系统。在第 II 部分中,我们总结了这一模型,并提出了 1.5D 简化方案,该方案缓解了导致其数值实施困难的三个问题。我们将我们的模型输出结果与另一个稳态、平衡脱气、等温模型的输出结果进行了比较,后者是在安山岩火山喷发的典型条件下进行的。由于导管末端总是含有水过饱和的熔体,因此采用现实的水扩散系数无法实现完美的平衡脱气。这种过饱和对质量排出率的影响很小。相反,如果取消等温假设,由于气体膨胀导致冷却,反过来又增加了液体粘度,从而大大降低了质量排出率。我们提出了一个使用达西定律的简化系统,省略了剪切加热和液体惯性等几个过程。这个最小系统不耗散,但与整个系统的稳态质量排放率的近似度在 10%以内。一个在有限条件下有效的状态图表明了这个最小系统何时捕捉到喷出喷发的上升动力学。有趣的是,完整模型的两个新方面--扩散脱气和热平衡--不能被忽视。在某些扩散系数较高的情况下,最初会出现一个孔隙度和速度趋向于零的浅层区域,可能会阻碍最终的稳定状态。当稳态溶液受到浅层渗透率变化的影响时,也会出现这种局部孔隙率损失。由此产生的浅层孔隙度损失具有火神喷发前形成的堵塞的许多特征。
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Two‐phase magma flow with phase exchange: Part II. 1.5D numerical simulations of a volcanic conduit
In a review paper in this same volume, we present the state of the art on modeling of compressible viscous flows ranging from single‐phase to two‐phase systems. It focuses on mathematical properties related to weak stability because they are important for numerical resolution and on the homogenization process that leads from a microscopic description of two separate phases to an averaged two‐phase model. This review serves as the foundation for Parts I and II, which present averaged two‐phase models with phase exchange applicable to magma flow during volcanic eruptions. Part I establishes a two‐phase transient conduit flow model ensuring: (1) mass and volatile species conservation, (2) disequilibrium degassing considering both viscous relaxation and volatile diffusion, and (3) dissipation of total energy. The relaxation limit of this model is then used to obtain a drift‐flux system amenable to simplification. Here, in Part II, we summarize this model and propose a 1.5D simplification of it that alleviates three issues causing difficulties in its numerical implementation. We compare our model outputs to those of another steady‐state, equilibrium degassing, isothermal model under conditions typical of an effusive eruption at an andesitic volcano. Perfect equilibrium degassing is unreachable with a realistic water diffusion coefficient because conduit extremities always contain melt supersaturated with water. Such supersaturation has minor consequences on mass discharge rate. In contrast, releasing the isothermal assumption reduces significantly mass discharge rate by cooling due to gas expansion, which in turn increases liquid viscosity. We propose a simplified system using Darcy's law and omitting several processes such as shear heating and liquid inertia. This minimal system is not dissipative but approximates the steady‐state mass discharge rate of the full system within 10%. A regime diagram valid under a limited set of conditions indicates when this minimal system captures the ascent dynamics of effusive eruptions. Interestingly, the two novel aspects of the full model, diffusive degassing and heat balance, cannot be neglected. In some cases with high diffusion coefficients, a shallow region where porosity and velocities tend toward zero develops initially, possibly blocking an eventual steady state. This local porosity loss also occurs when a steady‐state solution is subjected to a change in shallow permeability. The resulting shallow porosity loss features many characteristics of a plug developing prior to a Vulcanian eruption.
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
期刊最新文献
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