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A two-layer shallow flow model with two axes of integration, well-balanced discretization and application to submarine avalanches

机译:一种两层浅流模型,具有两种集成轴,平衡的离散化和应用于潜艇雪崩

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We propose a two-layer model with two different axes of integration and a well-balanced finite volume method. The purpose is to study submarine avalanches and generated tsunamis by a depth-averaged model with different averaged directions for the fluid and the granular layers. Two-layer shallow depth-averaged models usually consider either Cartesian or local coordinates for both layers. However, the motion characteristics of the granular layer and the water wave are different: the granular flow velocity is mainly oriented downslope while water motion related to tsunami wave propagation is mostly horizontal. As a result, the shallow approximation and depth-averaging have to be imposed (i) in the direction normal to the topography for the granular flow and (ii) in the vertical direction for the water layer. To deal with this problem, we define a reference plane related to topography variations and use the associated local coordinates to derive the granular layer equations whereas Cartesian coordinates are used for the fluid layer. Depth-averaging is done orthogonally to that reference plane for the granular layer equations and in the vertical direction for the fluid layer equations. Then, a finite volume method is defined based on an extension of the hydrostatic reconstruction. The proposed method is exactly well-balanced for two kinds of stationary solutions: the classical one, when both water and granular masses are at rest; the second one, when only the granular mass is at rest. Several tests are presented to get insight into the sensitivity of the granular flow, deposit and generated water waves to the choice of the coordinate systems. Our results show that even for moderate slopes (up to 30 degrees), strong relative errors on the avalanche dynamics and deposit (up to 60%) and on the generated water waves (up to 120%) are made when using Cartesian coordinates for both layers instead of an appropriate local coordinate system as proposed here. (C) 2019 Elsevier Inc. All rights reserved.
机译:我们提出了一种双层模型,具有两种不同的集成轴和均衡的有限体积法。目的是通过深度平均模型来研究潜艇雪崩和产生的海啸,用于流体和粒状层的不同平均方向。两层浅景深型号通常考虑两层笛卡尔或局部坐标。然而,粒状层和水波的运动特性是不同的:颗粒流速主要取下落下流量,而与海啸波传播相关的水运动大多是水平的。结果,必须在正常的方向上施加浅近似和深度平均,以在水层的垂直方向上的颗粒流动的形貌和(ii)。为了解决这个问题,我们定义了与地形变化相关的参考平面,并使用相关的本地坐标来导出粒状层方程,而笛卡尔坐标用于流体层。深度平均正交地向颗粒层方程的参考平面和流体层方程的垂直方向进行正交。然后,基于静水压重建的延伸来定义有限体积方法。该方法适用于两种固定解决方案(仿古),当水和颗粒质量静置时;第二个,当只有颗粒质量静置时。提出了几次测试以了解粒状流动,沉积物和产生的水波的灵敏度来选择坐标系的敏感性。我们的结果表明,即使对于中等斜坡(最多30度),雪崩动力学和储存的强烈相对误差(高达60%)和产生的水波(高达120%)是在使用笛卡尔坐标时进行的图层而不是此处所提出的适当的局部坐标系。 (c)2019 Elsevier Inc.保留所有权利。

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