Progress in Drainage Pipeline Condition Assessment and Deterioration Prediction Models

被引:5
作者
Zeng, Xuming [1 ]
Wang, Zinan [2 ]
Wang, Hao [2 ]
Zhu, Shengyan [1 ]
Chen, Shaofeng [1 ]
机构
[1] Powerchina Huadong Engn Corp Ltd, Bldg 35,Fuzhou Software Pk,Tongpan Rd, Fuzhou 350108, Peoples R China
[2] Fuzhou Univ, Zijin Sch Geol & Min, 2,Wulongjiang North Ave, Fuzhou 350108, Peoples R China
关键词
pipeline condition assessment; pipeline deterioration and breakage; influencing factors; artificial intelligence model; machine learning; OF-THE-ART; STRUCTURAL DETERIORATION; CONCRETE CORROSION; SEWER PIPES; INSPECTION; MANAGEMENT; FAILURE; SYSTEM; CLASSIFICATION; PERFORMANCE;
D O I
10.3390/su15043849
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The condition of drainage pipes greatly affects the urban environment and human health. However, it is difficult to carry out economical and efficient pipeline investigation and evaluation due to the location and structure of drainage pipes. Herein, the four most-commonly used drainage pipeline evaluation standards have been synthesized and analyzed to summarize the deterioration and breakage patterns of drainage pipes. The common pipe breakage patterns are also summarized by integrating the literature and engineering experience. To systematically describe the condition of drainage pipes, a system of influencing factors for the condition of pipes, including physical, environmental, and operational factors, has been established, and the mechanism of action of each influencing factor has been summarized. Physical, statistical, and AI models and their corresponding representative models have been categorized, and the research progress of current mainstream drainage-pipe deterioration and breakage prediction models are reviewed in terms of their principles and progress in their application.
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页数:29
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