A MASS LUMPING AND DISTRIBUTING FINITE ELEMENT ALGORITHM FOR MODELING FLOW IN VARIABLY SATURATED POROUS MEDIA

IF 0.3 Q4 MATHEMATICS, APPLIED
M. S. Islam
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引用次数: 0

Abstract

The Richards equation for water movement in unsaturated soil is highly nonlinear partial differential equations which are not solvable analytically unless unrealistic and oversimplifying assumptions are made regarding the attributes, dynamics, and properties of the physical systems. Therefore, conventionally, numerical solutions are the only feasible procedures to model flow in partially saturated porous media. The standard Finite element numerical technique is usually coupled with an Euler time discretizations scheme. Except for the fully explicit forward method, any other Euler time-marching algorithm generates nonlinear algebraic equations which should be solved using iterative procedures such as Newton and Picard iterations. In this study, lumped mass and distributed mass in the frame of Picard and Newton iterative techniques were evaluated to determine the most efficient method to solve the Richards equation with finite element model. The accuracy and computational efficiency of the scheme and of the Picard and Newton models are assessed for three test problems simulating one-dimensional flow processes in unsaturated porous media. Results demonstrated that, the conventional mass distributed finite element method suffers from numerical oscillations at the wetting front, especially for very dry initial conditions. Even though small mesh sizes are applied for all the test problems, it is shown that the traditional mass-distributed scheme can still generate an incorrect response due to the highly nonlinear properties of water flow in unsaturated soil and cause numerical oscillation. On the other hand, non oscillatory solutions are obtained and non-physics solutions for these problems are evaded by using the mass-lumped finite element method.
变饱和多孔介质流动模拟的质量集总分布有限元算法
非饱和土壤中水运动的理查兹方程是高度非线性的偏微分方程,除非对物理系统的属性、动力学和性质作出不切实际和过于简化的假设,否则无法解析求解。因此,传统上,数值解是模拟部分饱和多孔介质流动的唯一可行方法。标准有限元数值方法通常与欧拉时间离散方案相结合。除完全显式正演法外,其他任何欧拉时间推进算法都会产生非线性代数方程,需要使用牛顿迭代和皮卡德迭代等迭代过程来求解。在本研究中,评估了Picard和Newton迭代技术框架下的集中质量和分布质量,以确定用有限元模型求解Richards方程的最有效方法。对模拟非饱和多孔介质中一维流动过程的三个测试问题,评估了该格式以及皮卡德模型和牛顿模型的精度和计算效率。结果表明,传统的质量分布有限元方法在湿锋处存在数值振荡,特别是在非常干燥的初始条件下。尽管所有的试验问题都采用了较小的网格尺寸,但由于非饱和土中水流的高度非线性特性,传统的质量分布方案仍然会产生不正确的响应,并引起数值振荡。另一方面,用质量集总有限元法得到了这些问题的非振荡解,并回避了这些问题的非物理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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