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A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method

机译:Galerkin有限元法求解无侧限渗水问题的实用自适应移动网格算法

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摘要

One of the great challenges of unconfined seepage through a dam lies in the accurate determination of free surface that depends on the complexity of the seepage model, especially if the model is characterized with complex geometry and sharp variations in permeability distribution. This study presents a practical methodology that combines the adaptive moving-mesh algorithm and the Galerkin finite element method (FEM) to solve an unconfined seepage problem with high efficiency and precision. The methodology employs a set of improvement terms, such as remainder factor, step-size parameter and termination condition, all of which guarantee that the simulation and the refinement fitting can be implemented efficiently until the free surface converges within a given allowable error. In particular, a specialized discussion is presented for the significant relation between the location of the exit point and the corresponding grid fineness. To validate the practicability of the proposed method, a series of examples are performed. Comparing the result with those of other numerical approaches, we conclude that even though the unconfined seepage model may be complicated with arbitrary complex geometry and sharp variations in permeability distribution, the proposed algorithm provides a great improvement in efficiency and accuracy in free-surface searching.
机译:大坝无侧限渗漏的一大挑战在于准确确定自由表面,这取决于渗流模型的复杂性,特别是如果模型的特征是复杂的几何形状和渗透率分布的急剧变化。这项研究提出了一种实用的方法,该方法结合了自适应运动网格算法和Galerkin有限元方法(FEM),可以高效,高精度地解决无限制渗流问题。该方法采用了一组改进项,例如余数因子,步长参数和终止条件,所有这些改进项可确保有效执行模拟和优化拟合,直到自由表面收敛于给定的允许误差内为止。特别是,针对出口点的位置与相应的网格细度之间的重要关系进行了专门的讨论。为了验证所提出方法的实用性,执行了一系列示例。将结果与其他数值方法进行比较,我们得出的结论是,即使无限制的渗流模型可能会因任意复杂的几何形状和渗透率分布的急剧变化而变得复杂,但所提出的算法在自由表面搜索方面仍提供了效率和准确性方面的巨大改进。

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