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Upstream Cutoff and Downstream Filters to Control of Seepage in Dams

Author

Listed:
  • Farzin Salmasi

    (University of Tabriz)

  • Meysam Nouri

    (University of Urmia)

  • John Abraham

    (University of St. Thomas, Minnesota, School of Engineering)

Abstract

The finite element method was used in this study to investigate cutoff walls and downstream filters to control seepage, the exit hydraulic gradient, and uplift forces for dams. Experimental data was used for validating the numerical modelling. The effective parameters are the length of filter and its distance downstream from the dam, the depth of the cutoff walls, the upstream dam head, and the thickness of alluvial foundation. The results show that by increasing filter length, the exit hydraulic gradient, uplift force, and seepage are reduced. The optimum relative length of the filter is L/H = 0.028 which results in a decrease of about 65% in the exit hydraulic gradient, a 35% decrease in seepage and 10% reduction in the uplift force at the upstream foundation and a 60% decrease in the uplift force at the downstream foundation. Increase of cutoff wall depth reduces the exit hydraulic gradient, uplift force, and seepage. Using two cutoff walls both upstream and downstream of the dam decreases seepage, hydraulic gradient, and uplift force 132%, 450% and 11% respectively. However, using an upstream cutoff and downstream filter decreases seepage, hydraulic gradient, and uplift force by 180%, 490%, and 119% respectively. Thus, based on this study, recommendations for suitable combinations of upstream cutoff and downstream filter are provided.

Suggested Citation

  • Farzin Salmasi & Meysam Nouri & John Abraham, 2020. "Upstream Cutoff and Downstream Filters to Control of Seepage in Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4271-4288, October.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:13:d:10.1007_s11269-020-02674-6
    DOI: 10.1007/s11269-020-02674-6
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    References listed on IDEAS

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    1. Puneet Khatavkar & Larry W. Mays, 2017. "Optimization Models for the Design of Vegetative Filter Strips for Stormwater Runoff and Sediment Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2545-2560, July.
    2. Nafiseh Khoramshokooh & Mehdi Veiskarami & Mohammad Reza Nikoo & Somayeh Pourvahedi Roshandeh, 2018. "Multi-Objective Hydraulic Optimization of Diversion Dam’s Cut-Off," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3723-3736, September.
    3. Raj Singh, 2011. "Design of Barrages with Genetic Algorithm Based Embedded Simulation Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 409-429, January.
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    Cited by:

    1. Arjun Prasad & Raj Mohan Singh & S. K. Duggal, 2021. "Optimal Design of Barrage Profile on Anisotropic Soil Using Multi‐Objective Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2433-2448, June.
    2. Waqed H. Hassan & Hussein H. Hussein & Duaa H. Khashan & Musa H. Alshammari & Basim K. Nile, 2022. "Application of the Coupled Simulation–optimization Method for the Optimum Cut-off Design Under a Hydraulic Structure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4619-4636, September.
    3. Milica Markovic & Jelena Markovic Brankovic & Miona Andrejevic Stosovic & Srdjan Zivkovic & Bojan Brankovic, 2021. "A New Method for Pore Pressure Prediction on Malfunctioning Cells Using Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 979-992, February.

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