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Evaluation of Hydraulic-Tunnel-Lining Durability Based on ANP and Cloud-Model-Improved Matter–Element Theory

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  • Qingfu Li

    (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Chuangshi Fan

    (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

Compared with highway tunnels, hydraulic tunnel linings are in the water environment for a long time, and their lining materials and structures are more vulnerable to damage. Therefore, a comprehensive scientific durability evaluation of hydraulic tunnel linings is of great significance for the safe operation and daily maintenance of hydraulic tunnels. This paper proposes a new method for evaluating the durability of hydraulic tunnel linings. The paper first constructs a hydraulic tunnel concrete lining durability evaluation system, taking into account the feedback between the indices, and using the analytic network process (ANP) to calculate the weights of each index, as well as multiple-expert scoring to reduce its one-sidedness and subjectivity. Considering the randomness and fuzzy nature of the evaluation, the cloud model was used to modify the matter–element theory to evaluate the durability of the hydraulic tunnel lining. Finally, an example application was carried out, and the durability classes of five segments of the Nawei Tunnel were calculated as III, II, II, II, and III. The results were compared with the evaluation results of the method in the related literature, which proved that the method has good accuracy in evaluating the durability of hydraulic tunnel linings.

Suggested Citation

  • Qingfu Li & Chuangshi Fan, 2022. "Evaluation of Hydraulic-Tunnel-Lining Durability Based on ANP and Cloud-Model-Improved Matter–Element Theory," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11801-:d:919458
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    References listed on IDEAS

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    1. Thomas L. Saaty & Luis G. Vargas, 2013. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, edition 2, chapter 0, pages 1-40, Springer.
    2. Thomas L. Saaty & Luis G. Vargas, 2013. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-7279-7, April.
    3. Arends, B.J. & Jonkman, S.N. & Vrijling, J.K. & van Gelder, P.H.A.J.M, 2005. "Evaluation of tunnel safety: towards an economic safety optimum," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 217-228.
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    Cited by:

    1. Talieh Abdolkhaninezhad & Masoud Monavari & Nematollah Khorasani & Maryam Robati & Forogh Farsad, 2022. "Analysis Indicators of Health-Safety in the Risk Assessment of Landfill with the Combined Method of Fuzzy Multi-Criteria Decision Making and Bow Tie Model," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    2. Liujie Zhu & Changsheng Wang & Chuangshi Fan & Qingfu Li, 2023. "Evaluation of Hydraulic Tunnel Lining Durability Based on Entropy–G2 and Gray Correlation–TOPSIS Methods," Sustainability, MDPI, vol. 15(17), pages 1-17, September.

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