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Numerical simulation of Richards equation in partially saturated porous media: under-relaxation and mass balance

机译:部分饱和多孔介质中Richards方程的数值模拟:松弛和质量平衡

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Numerical simulation of Richards equation in unsaturated soil is known to be difficult because of the highly non-linear material properties involved. An extensive study was conducted to clarify the role of mass balance and under-relaxation on the rate in which the correct solution is approached. Both finite element and finite difference techniques were considered. For the former, the h-based formulation was compared with a mass-conservative mixed form. The conductivity function (K) was under-relaxed in two ways while the capacity function (C) is computed following the standard mass or non-mass conservative schemes recommended in literature. For fairly coarse discretisation, it was found that large errors were produced when K was under-relaxed by evaluating it at the average of heads from current and previous time step (UR1), regardless of the numerical scheme used. Maintaining global mass balance is found to have little impact on the accuracy. All numerical schemes that under-relaxed K by computing it at the average of two most recent iterations in the current time step (UR2) converged quicker to the correct solution with increasing discretisation, although more iterations per time step than UR1 is needed to achieve a stable solution. An important practical ramification is that it appears to be possible to achieve reasonably accurate and oscillation-free results using fairly coarse discretisation by making only minor modifications (namely, using UR2 for conductivity function) to the h-based finite element formulation and applying some minimum time step criteria.
机译:由于涉及高度非线性的材料特性,已知在非饱和土壤中进行Richards方程的数值模拟很困难。进行了广泛的研究,以阐明质量平衡和放松松弛对接近正确解决方案的速率的作用。同时考虑了有限元技术和有限差分技术。对于前者,将基于h的配方与质量保守的混合形式进行比较。电导率函数(K)有两种方法松弛,而电容函数(C)是按照文献中推荐的标准质量或非质量保守方案计算的。对于相当粗略的离散化,发现无论采用何种数值方案,通过以当前和上一时间步长(UR1)的磁头的平均值对K进行松弛,都会产生较大的误差。发现保持全局质量平衡对精度影响不大。通过在当前时间步长(UR2)中两次最新迭代的平均值进行计算来松弛K的所有数值方案,随着离散化程度的提高,收敛到正确的解决方案的速度更快,尽管每个时间步长的迭代需要比UR1更多的迭代稳定的解决方案。一个重要的实际后果是,通过对基于h的有限元公式进行较小的修改(即使用UR2作为电导函数),并使用相当粗糙的离散化,似乎有可能获得相当准确且无振荡的结果。时间步标准。

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