New advances in condition monitoring technology study for reinforced concrete structures
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Author:
Affiliation:

1.School of Civil Engineering, Southwest Jiaotong University, Chengdu 611756, P. R. China;2.National Key Laboratory of Bridge Intelligent and Green Construction, Southwest Jiaotong University, Chengdu 611756, P. R. China

Clc Number:

TU196.1;U445.7

Fund Project:

National Natural Science Foundation of China (No. 51778532); Key Consultancy Projects of the Chinese Academy of Engineering (No. 2015-05-ZD-002)

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    Abstract:

    The need for monitoring the condition of RC structures is imperative in order to safeguard their performance level, and this conventional approach has engendered novel development opportunities due to technological advances in related fields. In this paper, new technologies for reinforcing steel corrosion monitoring and concrete durability monitoring in reinforced concrete structures in recent years are reviewed: in the aspect of reinforcing steel corrosion monitoring, chemical monitoring methods such as the half-cell and natural potential monitoring method, polarisation resistance technology, current noise assessment method and physical monitoring techniques such as the ultrasonic monitoring method, physical imaging technology, electromagnetism monitoring technology and new monitoring methods based on artificial intelligence are reviewed; in the aspect of concrete condition and durability monitoring, the ultrasonic monitoring, digital imaging technology monitoring, damage evaluation index system research and other monitoring technologies based on the deterioration of concrete itself, and monitoring technologies based on the crack assessment of the concrete condition and new technologies based on artificial intelligence are reviewed; in the area of sensors and signal processing technology, an overview of optical fiber sensors and other new sensor technologies in the monitoring of corrosion of reinforcing bars and the latest research progress in the monitoring of the condition of concrete is presented. In conjunction with the advancement of front-end technologies at the condition-aware layer, the integration of artificial intelligence technologies is a prevailing trend in the future interdisciplinary development of RC structure condition monitoring.

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张方,丛龙宇,王雨辰,杨倩,钱永久.钢筋混凝土结构状态监测技术研究新进展[J].土木与环境工程学报(中英文),2026,48(2):150~162

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History
  • Received:October 17,2023
  • Revised:
  • Adopted:
  • Online: March 31,2026
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