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DGM-MDS: Dynamic grouting monitoring with a novel multi-channel distributed system

  • Fanqiang Lin
  • , Xiangpeng Wang*
  • , Wei Zhong
  • , Jin Hu
  • , Kunpeng Wang
  • , Kecheng Chen
  • , Hongwei Zhang
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

With the development of engineering construction, the construction of underground space with complex geological structures is increasing, resulting in more potential engineering problems (e.g., water inrush). Grouting, as a technology for prevention and control, has been widely used in engineering applications such as tunnel construction and pile foundation engineering. To the best of our knowledge, a trenchless visualization method, which can effectively control and evaluate grouting fluid filling of underground space for energy saving, environmental protection and reliable construction quality, is underexplored today. To this end, a novel distributed wireless sensor network-based solution is proposed in this paper. Specifically, metal electrodes are first inserted into the ground in the grouting area to collect data from underground space during the grouting process. Then, by leveraging resistivity inversion imaging software, an effective dynamic monitoring can be achieved so that the grouting effect can be evaluated accurately by observing the grouting diffusion, filling range and evolution process in the underground. Finally, the proposed distributed system can collect multiple profile data in quasi real-time by flexible wireless networking mode, leading to comprehensive and effective monitoring of underground filling for grouting engineering. Experiments on lossy clay area show the effectiveness of our proposed distributed system for engineering monitoring in the field of grouting. © 2023 Elsevier Ltd.
Original languageEnglish
Article number132087
JournalConstruction and Building Materials
Volume394
Online published28 Jun 2023
DOIs
Publication statusPublished - 29 Aug 2023

Funding

This study was supported by the National Natural Science Foundation of China (No. 42004057) and the Key Research and Development Project of Sichuan Provincial Science and Technology Plan (No. 2020YFS0472).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Distributed system
  • Electrical resistivity tomography
  • Grouting monitoring
  • Multi-channel

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