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A spectral multidomain penalty method solver for the numerical simulation of granular avalanches

机译:粒状雪崩数值模拟的光谱多麦田惩罚方法求解器

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This work presents a high-order element-based numerical simulation of an experimental granular avalanche, in order to assess the potential of these spectral techniques to handle geophysical conservation laws. The spatial discretization of these equations was developed via the spectral multidomain penalty method (SMPM). The temporal terms were discretized using a strong-stability preserving Runge-Kutta method. Stability of the numerical scheme is ensured with the use of a spectral filter and a constant or regularized lateral earth pressure coefficient. The test case is a granular avalanche that is generated in a small-scale rectangular flume with a topographical gradient. A grid independence test was performed to clarify the order of the error in the mass conservation produced by the treatments here implemented. The numerical predictions of the granular avalanches are compared with experimental measurements performed by Denlinger and Iverson (2001). Furthermore, the boundary conditions and parameters such as lateral earth pressure coefficients and the momentum correction factor were analyzed in order to observe the incidence of these features when solving the granular flow equations. This work identifies the benefits and weaknesses of the SMPM to solve this set of equations, and thus, it is possible to conclude that the SMPM provides an appropriate solution to the granular flow equations proposed by Iverson and Denlinger (2001) and comparable predictions for the experimental data.
机译:该工作介绍了实验粒度雪崩的基于高阶元素的数值模拟,以评估这些光谱技术的潜力来处理地球物理保护法。这些方程的空间离散化是通过光谱多麦田惩罚方法(SMPM)开发的。使用强稳定性保存的跳动-Kutta方法离散化时间术语。通过使用光谱滤波器和恒定或正则化横向地压系数来确保数值方案的稳定性。测试案例是一种颗粒状雪崩,其在具有地形梯度的小规模矩形小瓶中产生。进行网格独立性测试以澄清由此处所实施的治疗产生的质量保护中误差的顺序。将粒状雪崩的数值预测与Denlinger和Iverson(2001)进行的实验测量进行了比较。此外,分析了边界条件和诸如横向接地压力系数和动量校正因子的参数,以便在求解粒状流动方程时观察这些特征的发生率。这项工作识别SMPM解决这组方程的益处和缺点,因此,可以得出结论,SMPM为Iverson和Denlinger(2001)提出的粒状流程方程提供了适当的解决方案和对此的可比预测实验数据。

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