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Research Article | Open Access

Cement grouting online monitoring and intelligent control for dam foundations

Qixiang Fan1,2( )Xiaochun Jiang3Kexiang Wang1Canxin Huang1Guo Li2Pengcheng Wei4
China Three Gorges Corporation, Beijing 100038, China
China Huaneng Group Co., Ltd., Beijing 100031, China
Spring Energy Science and Technology Co. Ltd., Chengdu 610093, China
Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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Abstract

This paper shares the experience of China Three Gorges Corporation in intelligent grouting management for dam foundation reinforcement. An intelligent grouting control system called intelligent grout control hub with intelligent management (iGHM) was introduced to realize one-button closed-loop intelligent control of cement grouting by its robust grouting control models, novel grouting facilities, and intelligent online monitoring approaches. In this system, the grouting period (t) is intelligently divided into three zones and five phases based on the product of grouting pressure (P) and unit grouting rate (Q), which provide quantitative criteria for the grouting process control. Innovative grouting facilities (e.g., intelligent non-grading slurry tank, intelligent pressure control system, and central hub for grouting data management) and an intelligent grouting management cloud platform are subsequently incorporated to monitor, analyze, and evaluate grouting data online for efficient digital grouting management. Its application of consolidation grouting and high-pressure curtain grouting at the Baihetan Hydropower Station demonstrates that this intelligent grouting system could improve grouting quality with promising applications in similar projects.

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Journal of Intelligent Construction
Article number: 9180005
Cite this article:
Fan Q, Jiang X, Wang K, et al. Cement grouting online monitoring and intelligent control for dam foundations. Journal of Intelligent Construction, 2023, 1(1): 9180005. https://doi.org/10.26599/JIC.2023.9180005

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Received: 16 January 2023
Revised: 24 February 2023
Accepted: 24 February 2023
Published: 14 April 2023
© The Author(s) 2023. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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