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首页> 外文期刊>Environmental Geology >The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network
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The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network

机译：通过PLAXIS 3D软件：神经网络对土坝瞬时渗流进行3D分析和估计

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摘要

The issue of seepage and its management is essential in earth dams which if exceeded from a certain stage the destruction of dam is probable. Despite the studies run through consulting engineers, the hydraulic behaviors of both body and foundation cannot be predicted. To understand the function of such structures, the geotechnical software PLAXIS 3D based on FEM is applied to determine the transient seepage analysis on the subject earth dam for 1 year. The outputs in downstream drain are compared with the actual obtained results from seepage at the same points with 15-day intervals for 1 year as an experimental sample. The obtained data here thorough PLAXIS 3D in addition to available actual seepage, permeability coefficients in x, y, and z directions, transient head upstream, soil-specific gravity for both the wet and dry conditions, Poisson coefficient, c, & x278;, and elasticity modulus material are trained through a neural network algorithm. Here, an equation is yield through which the seepage is calculated in transient head upstream at any point of the subject earth dam. This equation has a great accuracy of (P value > 0.05), and is applied in calculating the actual seepage of earth dams in critical situations such as earth dam failure due to piping operation or dam body erosion.
机译：渗流问题及其管理对土坝至关重要，如果从某个阶段超过渗流，大坝很可能被破坏。尽管研究是通过咨询工程师进行的，但无法预测车身和基础的水力行为。为了了解此类结构的功能，应用了基于FEM的岩土工程软件PLAXIS 3D来确定目标土坝1年的瞬态渗流分析。将下游排水的输出与实际渗漏得到的结果进行比较，这些结果是在相同的点上以15天的间隔在相同的点上连续渗水1年作为实验样品。除了可用的实际渗漏，x，y和z方向的渗透系数，上游瞬变压头，干湿条件下的土壤比重，泊松系数c和x278外，此处还通过PLAXIS 3D获得了数据。弹性模量材料通过神经网络算法进行训练。在此，给出了一个方程式，通过该方程式可以计算出在目标土坝任意点上游的瞬变水头中的渗流。该公式具有（P值> 0.05）的高精度，可用于计算关键情况下土坝的实际渗流，例如由于管道运营或坝体侵蚀导致的土坝破坏。

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