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Determination of Safety Monitoring Indices for Roller-Compacted Concrete Dams Considering Seepage–Stress Coupling Effects

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  • Wenbing Zhang

    (College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Hanhan Li

    (College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Danda Shi

    (College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Zhenzhong Shen

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Shan Zhao

    (College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Chunhui Guo

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

Abstract

Analyzing the working conditions of a dam using safety monitoring indices (SMIs) is a relatively intuitive and effective method for dam safety evaluation. Therefore, a reasonable and accurate method for determining the SMIs of a dam is of vital importance for dam safety assessment. However, the current methods for determining the SMIs of dams, especially roller-compacted concrete (RCC) dams, have many shortcomings, such as ignoring the construction process of the dam, the coupling effect among multiple physical fields, etc. In this paper, a novel SMI determination method considering the seepage–stress coupling effects was proposed for RCC dams with the assistance of a constructed seepage and stress coupling model so as to address the deficiency of existing RCC dams in determining SMIs. The coupled mathematical model was developed in COMSOL Multiphysics to establish a finite element analysis model of an RCC gravity dam in Henan Province, China. Moreover, the seepage anisotropy of the RCC construction layers was also considered in the model. Finally, the seepage, stress, and deformation characteristics of the RCC dam were analyzed based on the model, and the seepage and deformation SMIs of the dam were determined and compared with traditional methods. The results show that seepage, stress, and displacement fields are distributed similarly for both coupled and uncoupled models. However, in contrast to the uncoupled model, the hydraulic head contour distribution is more dispersed in the coupled model. Additionally, the stress and displacement simulated by the coupled model increase at different rates, with a more pronounced stress concentration near the dam heel. Comparing the seepage and stress SMIs of RCC dam obtained from different methods, it was found that the indices of dam seepage discharge and crest displacement that are calculated by considering the seepage–stress coupling effect and anisotropic characteristics of RCC construction layers are 34.78% and 31.98% lower than results obtained by ignoring these two effects, respectively. Therefore, it is crucial to consider the seepage–stress coupling effect and the anisotropic characteristics of RCC when determining the SMIs for RCC dams.

Suggested Citation

  • Wenbing Zhang & Hanhan Li & Danda Shi & Zhenzhong Shen & Shan Zhao & Chunhui Guo, 2023. "Determination of Safety Monitoring Indices for Roller-Compacted Concrete Dams Considering Seepage–Stress Coupling Effects," Mathematics, MDPI, vol. 11(14), pages 1-18, July.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3224-:d:1199919
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    References listed on IDEAS

    as
    1. Xiangnan Qin & Chongshi Gu & Erfeng Zhao & Bo Chen & Yanling Yu & Bo Dai, 2018. "Monitoring indexes of concrete dam based on correlation and discreteness of multi-point displacements," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-16, July.
    2. Liansheng Sang & Jun Wang & Jueyi Sui & Mauricio Dziedzic, 2022. "A New Approach for Dam Safety Assessment Using the Extended Cloud Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5785-5798, December.
    3. Liansheng SangJun & Jun Wang & Jueyi Sui & Mauricio Dziedzic, 2022. "Correction to: A New Approach for Dam Safety Assessment Using the Extended Cloud Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5799-5799, December.
    4. Shaowei Wang & Chongshi Gu & Tengfei Bao, 2013. "Safety Monitoring Index of High Concrete Gravity Dam Based on Failure Mechanism of Instability," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-14, December.
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