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Progress in Drainage Pipeline Condition Assessment and Deterioration Prediction Models

Author

Listed:
  • Xuming Zeng

    (Powerchina Huadong Engineering Corporation Limited, Building 35, D District, Fuzhou Software Park, Tongpan Road, Fuzhou 350108, China)

  • Zinan Wang

    (Zijin School of Geology and Mining, Fuzhou University, No. 2, Wulongjiang North Avenue, Fuzhou 350108, China)

  • Hao Wang

    (Zijin School of Geology and Mining, Fuzhou University, No. 2, Wulongjiang North Avenue, Fuzhou 350108, China)

  • Shengyan Zhu

    (Powerchina Huadong Engineering Corporation Limited, Building 35, D District, Fuzhou Software Park, Tongpan Road, Fuzhou 350108, China)

  • Shaofeng Chen

    (Powerchina Huadong Engineering Corporation Limited, Building 35, D District, Fuzhou Software Park, Tongpan Road, Fuzhou 350108, China)

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.

Suggested Citation

  • Xuming Zeng & Zinan Wang & Hao Wang & Shengyan Zhu & Shaofeng Chen, 2023. "Progress in Drainage Pipeline Condition Assessment and Deterioration Prediction Models," Sustainability, MDPI, vol. 15(4), pages 1-29, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3849-:d:1074550
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    References listed on IDEAS

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