IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i3p694-d201542.html
   My bibliography  Save this article

Finite-Difference Numerical Simulation of Dewatering System in a Large Deep Foundation Pit at Taunsa Barrage, Pakistan

Author

Listed:
  • Ijaz Ahmad

    (Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Muhammad Tayyab

    (College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China)

  • Muhammad Zaman

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad 38000, Pakistan
    Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Muhammad Naveed Anjum

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Xiaohua Dong

    (College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China
    Hubei Provincial Collaborative Innovation Center for Water Security, Wuhan 430070, China)

Abstract

This study investigates a large deep foundation pit of a hydraulic structure rehabilitation program across the Indus river, in the Punjab province of Pakistan. The total area of the construction site was 195,040 m 2 . Two methods, constant head permeability test and Kozeny–Carman equation, were used to determine the hydraulic conductivity of riverbed strata, and numerical simulations using the three-dimensional finite-difference method were carried out. The simulations first used hydraulic conductivity parameters obtained by laboratory tests, which were revised during model calibration. Subsequently, the calibrated model was simulated by different aquifer hydraulic conductivity values to analyze its impact on the dewatering system. The hydraulic barrier function of an underground diaphragm wall was evaluated at five different depths: 0, 3, 6, 9, and 18 m below the riverbed level. The model results indicated that the aquifer drawdown decreases with the increase in depth of the underground diaphragm wall. An optimal design depth for the design of the dewatering system may be attained when it increases to 9 m below the riverbed level.

Suggested Citation

  • Ijaz Ahmad & Muhammad Tayyab & Muhammad Zaman & Muhammad Naveed Anjum & Xiaohua Dong, 2019. "Finite-Difference Numerical Simulation of Dewatering System in a Large Deep Foundation Pit at Taunsa Barrage, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:694-:d:201542
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/3/694/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/3/694/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Željko Vukelić & Evgen Dervarič & Jurij Šporin & Goran Vižintin, 2016. "The Development of Dewatering Predictions of the Velenje Coalmine," Energies, MDPI, vol. 9(9), pages 1-9, August.
    2. Dapeng Gao & Yuewu Liu & Tianjiao Wang & Daigang Wang, 2018. "Experimental Investigation of the Impact of Coal Fines Migration on Coal Core Water Flooding," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhaowen Du & Shaojie Chen & Junbiao Ma & Zhongping Guo & Dawei Yin, 2020. "Gob-Side Entry Retaining Involving Bag Filling Material for Support Wall Construction," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    2. Weibing Zhu & Shengchao Yu & Jingmin Xu, 2018. "Influence of the Elastic Dilatation of Mining-Induced Unloading Rock Mass on the Development of Bed Separation," Energies, MDPI, vol. 11(4), pages 1-16, March.
    3. Dongjing Xu & Suping Peng & Shiyao Xiang & Yunlan He, 2017. "A Novel Caving Model of Overburden Strata Movement Induced by Coal Mining," Energies, MDPI, vol. 10(4), pages 1-13, April.
    4. Dongyuan Li & Pingya Luo & Xiaojun Peng & Tao Zou & Li Fu & Wanchun Fu & Gang Xie, 2022. "Investigation on Coalbed Methane Fracturing Using Supercritical CO 2 Graphene Cement Slurry System," Energies, MDPI, vol. 15(20), pages 1-20, October.
    5. Xinxian Zhai & Guangshuai Huang & Chengyu Chen & Rubo Li, 2018. "Combined Supporting Technology with Bolt-Grouting and Floor Pressure-Relief for Deep Chamber: An Underground Coal Mine Case Study," Energies, MDPI, vol. 11(1), pages 1-16, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:694-:d:201542. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.