Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)

Research on the Safety Evaluation of the Operation Performance of the Sluice Gate Based on Modified Fuzzy Comprehensive Evaluation Method

Authors
Shuo Wang1, Guojiang Yin2, Jikai Zhou1, Liaojun Zhang3, *
1College of Civil and Transportation Engineering, Hohai University, Nanjing, China
2Safety Monitoring Center of Hydraulic Metal Structure of the Ministry of Water Resources, PRC, Hohai University, Nanjing, China
3College of Civil and Transportation Engineering, Hohai University, Nanjing, China
*Corresponding author. Email: ljzhang@hhu.edu.cn
Corresponding Author
Liaojun Zhang
Available Online 30 April 2025.
DOI
10.2991/978-94-6463-688-8_4How to use a DOI?
Keywords
Sluice gates; Safety evaluation; Analytical Hierarchy Process; Fuzzy comprehensive evaluation method
Abstract

Traditional safety evaluation methods of the sluice gate based on expert knowledge have failed to comprehensively consider the weights and relationships between indicators. The fuzzy comprehensive evaluation method (FCEM) is an analytical approach using artificial intelligence (AI) technique, offering an effective solution to address the uncertainty, fuzziness, and fuzzy reasoning of gate indicators. This study introduces a safety evaluation method for the gate based on the improved FCEM. A systematic evaluation index system is proposed, which considers five key aspects: appearance quality, corrosion conditions, material performance, welding quality, and results of strength tests from on-site inspections. The safety levels of the sluice gates are categorized into five levels ranging from high to low. The weights of each evaluation indicator are determined using the modified Analytic Hierarchy Process (AHP). Subsequently, the FCEM is applied to assess the operational safety status of sluice gates. The analysis is performed using the fifth operational sluice gate at the Xin’anjiang Hydropower Station as a case study. The evaluation results demonstrate a high level of consistency for the gate, highlighting the method’s notable accuracy and applicability. This study offers a crucial theoretical foundation and practical significance in ensuring the safe and stable operation of sluice gates.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)
Series
Advances in Engineering Research
Publication Date
30 April 2025
ISBN
978-94-6463-688-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-688-8_4How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Shuo Wang
AU  - Guojiang Yin
AU  - Jikai Zhou
AU  - Liaojun Zhang
PY  - 2025
DA  - 2025/04/30
TI  - Research on the Safety Evaluation of the Operation Performance of the Sluice Gate Based on Modified Fuzzy Comprehensive Evaluation Method
BT  - Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)
PB  - Atlantis Press
SP  - 25
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-688-8_4
DO  - 10.2991/978-94-6463-688-8_4
ID  - Wang2025
ER  -