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author:

Zeng, X. (Zeng, X..) [1] | Wang, Z. (Wang, Z..) [2] | Wang, H. (Wang, H..) [3] | Zhu, S. (Zhu, S..) [4] | Chen, S. (Chen, S..) [5]

Indexed by:

Scopus

Abstract:

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. © 2023 by the authors.

Keyword:

artificial intelligence model influencing factors machine learning pipeline condition assessment pipeline deterioration and breakage

Community:

  • [ 1 ] [Zeng, X.]Powerchina Huadong Engineering Corporation Limited, Building 35, D District, Fuzhou Software Park, Tongpan Road, Fuzhou, 350108, China
  • [ 2 ] [Wang, Z.]Zijin School of Geology and Mining, Fuzhou University, No. 2, Wulongjiang North Avenue, Fuzhou, 350108, China
  • [ 3 ] [Wang, H.]Zijin School of Geology and Mining, Fuzhou University, No. 2, Wulongjiang North Avenue, Fuzhou, 350108, China
  • [ 4 ] [Zhu, S.]Powerchina Huadong Engineering Corporation Limited, Building 35, D District, Fuzhou Software Park, Tongpan Road, Fuzhou, 350108, China
  • [ 5 ] [Chen, S.]Powerchina Huadong Engineering Corporation Limited, Building 35, D District, Fuzhou Software Park, Tongpan Road, Fuzhou, 350108, China

Reprint 's Address:

  • [Wang, H.]Zijin School of Geology and Mining, No. 2, Wulongjiang North Avenue, China

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Source :

Sustainability (Switzerland)

ISSN: 2071-1050

Year: 2023

Issue: 4

Volume: 15

2 . 5 9 2

JCR@2018

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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