Research Article

Intelligent concrete transport methods for super-high arch dams

  • XU Jianjiang ,
  • CHEN Wenfu ,
  • TAN Yaosheng ,
  • GAO Shikui ,
  • ZHOU Tiangang ,
  • ZHOU Mengxia ,
  • LIU Chunfeng ,
  • LIANG Cheng ,
  • LI Xiangqian
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  • 1. PowerChina Chengdu Engineering Corporation Limited, Chengdu 610072, China;
    2. China Three Gorges Projects Development Co., Ltd., Chengdu 610041, China;
    3. China Three Gorges Group Corporation, Beijing 100038, China

Received date: 2020-12-11

  Online published: 2021-06-08

Abstract

Proper concrete transport at super-high arch dams is important for maintaining good concrete properties for dam integrity. This study used the Baihetan project as an example to analyze the problems of isolated information, difficult linkage control and safety control of cable crane groups for concrete transport when building super-high arch dams. The construction was further complicated by a double platform construction layout and the difficulties of concrete transport management with multiple, simultaneous pours. This paper presents a model of the concrete transport linkages and cable crane groups efficiency and safety characteristics with an intelligent management and control system. The system provides real-time analysis, feedback warnings and dynamic tracking in the intelligent management and control platform for the concrete transport. The platform has been successfully applied in the Baihetan project to provide digital control of the concrete transport efficiency and safety to effectively improve the traditional construction management that deals with poor linkage analyses, slow feedback, and poor process control. The research results can be used for similar projects.

Cite this article

XU Jianjiang , CHEN Wenfu , TAN Yaosheng , GAO Shikui , ZHOU Tiangang , ZHOU Mengxia , LIU Chunfeng , LIANG Cheng , LI Xiangqian . Intelligent concrete transport methods for super-high arch dams[J]. Journal of Tsinghua University(Science and Technology), 2021 , 61(7) : 768 -776 . DOI: 10.16511/j.cnki.qhdxxb.2021.26.007

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