Advances in concrete construction

  • 제17권5호
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  • Pages.257-271
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  • 2024
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  • 2287-5301(pISSN)
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  • 2287-531X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

An intelligent cooling control system for mitigating the cracking risks of mass concretes during bridge construction

  • Ruinan An (Department of Hydraulic Engineering, Tsinghua University) ;
  • Peng Lin (Department of Hydraulic Engineering, Tsinghua University) ;
  • Daoxiang Chen (Department of Hydraulic Engineering, Tsinghua University) ;
  • Jianshu Ouyang (Department of Hydraulic Engineering, Tsinghua University) ;
  • Zichang Li (Sichuan Energy Internet Research Institute, Tsinghua University) ;
  • Zheng Zhang (China Highway Engineering Consulting Corporation) ;
  • Yuanguang Liu (Snohydro Bureau 11 Co. LTD.)
  • 투고 : 2024.02.01
  • 심사 : 2024.09.03
  • 발행 : 2024.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

During any construction involving mass concrete, it is crucial to control cracking during the placement and curing process. This study develops an intelligent cooling control system that regulates water temperature and flow based on concrete hydration heat, effectively preventing cracking in bridge construction. The system consists of hardware, a neural network-based control algorithm, and an information management system. An optimal cooling control strategy is proposed to dynamically regulate water flow and temperature, preventing cracking by utilizing real-time temperature data, target control curves, neural network algorithms, and cloud-based computing. The intelligent cooling control system has been successfully implemented in controlling cracking risks during bridge construction. It not only mitigates the risk but also provides a convenient management strategy for bridge construction projects. The optimal cooling control strategy ensures high accuracy and stability under unsupervised learning conditions. This intelligent cooling control system can be applied to similar constructions such as bridge, dam, and building that involve the use of mass concrete.

키워드

과제정보

The research described in this paper was financially supported by Road & Bridge International Huabei Co., Ltd (Grant No. ZJLJ-JWGSXM-JSFW-2019-003), the China Three Gorges Corporation (No: WDD/0578) Snohydro Bureau 11 Co LTD's Management Department of the Julius Nyerere Hydropower Station Project in the United Republic of Tanzania (Grant No. SHC-JNHPP-JSFW-01-18012022) and Management Department of the Kafue Gorge Lower Hydropower Station Project in Zambia (Grant No. SH-KGL-SUB-2021003). The authors would like to express their gratitude for the financial support that made this study possible.

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