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<p>Excessive and uncontrolled seepage through an earth-fill dam is detrimental to its stability. Numerous researchers have developed empirical equations based on the finite element method (FEM) to predict the seepage rate through a specific type of earth-fill dam resting on an impervious foundation. However, the empirical correlation for seepage calculation across a non-homogenous earth dam lying on a pervious foundation is yet to be investigated. This study formulated an empirical equation to compute the seepage discharge through a non-homogenous earth-fill dam resting on a permeable foundation. Seepage analysis was performed on the SEEP/W program with three different values of each physical and geometrical parameter of the embankment (upstream slope, dam’s height, downstream slope, crest width, core’s slope, depth of pervious foundation, free board, permeability of foundation material, and permeability ratio of core-to-shell material). A total of 4374 dam models were analyzed to obtain the seepage datasets. The comparison of seepage values obtained from the SEEP/W program with the analytical equations revealed an average percentage error of less than 15%. Non-linear regression analysis was then performed on the seepage datasets using SPSS-19 software to obtain an empirical equation for seepage calculation. Furthermore, a seepage prediction model was developed using artificial neural networks (ANN) via MATLAB software. The comparison of seepage discharge measured from SEEP/W versus its quantity calculated from the developed empirical equation and ANN model gave a coefficient of determination (R<sup>2</sup>) of 0.96 and 0.971, respectively. The analysis shows that the dam's height has a higher relative importance (31.26%) in determining the seepage rate, while the upstream slope has the least importance (0.93%).</p>

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A novel numerical approach for the assessment of the seepage failure, predictive modelling of seepage through non-homogenous earth-fill dams resting on pervious foundations using artificial neural networks

  • 期刊论文

  • 发表日期：

    2025年1月8日

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  • Muhammad Zeeshan Khursheed,
  • Badee Alshameri,
  • Waqas Hassan,
  • Lokmane Abdeldjouad

摘要

Excessive and uncontrolled seepage through an earth-fill dam is detrimental to its stability. Numerous researchers have developed empirical equations based on the finite element method (FEM) to predict the seepage rate through a specific type of earth-fill dam resting on an impervious foundation. However, the empirical correlation for seepage calculation across a non-homogenous earth dam lying on a pervious foundation is yet to be investigated. This study formulated an empirical equation to compute the seepage discharge through a non-homogenous earth-fill dam resting on a permeable foundation. Seepage analysis was performed on the SEEP/W program with three different values of each physical and geometrical parameter of the embankment (upstream slope, dam’s height, downstream slope, crest width, core’s slope, depth of pervious foundation, free board, permeability of foundation material, and permeability ratio of core-to-shell material). A total of 4374 dam models were analyzed to obtain the seepage datasets. The comparison of seepage values obtained from the SEEP/W program with the analytical equations revealed an average percentage error of less than 15%. Non-linear regression analysis was then performed on the seepage datasets using SPSS-19 software to obtain an empirical equation for seepage calculation. Furthermore, a seepage prediction model was developed using artificial neural networks (ANN) via MATLAB software. The comparison of seepage discharge measured from SEEP/W versus its quantity calculated from the developed empirical equation and ANN model gave a coefficient of determination (R2) of 0.96 and 0.971, respectively. The analysis shows that the dam's height has a higher relative importance (31.26%) in determining the seepage rate, while the upstream slope has the least importance (0.93%).