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Application of Artificial Intelligence in Hydraulic Engineering, 2nd Edition
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Application of Artificial Intelligence in Hydraulic Engineering, 2nd Edition

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 383

Special Issue Editors

Dr. Lin Cheng

E-Mail Website
Guest Editor
Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China
Interests: hydraulic engineering; numerical simulation; seismic analysis; monitoring equipment; non-destructive test
Special Issues, Collections and Topics in MDPI journals
Dr. Chunhui Ma

E-Mail Website
Guest Editor
Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China
Interests: dam safety; discrete element method; monitoring model; machine learning; rockfill material
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jie Yang

E-Mail Website
Guest Editor
Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China
Interests: reservoir management; hydraulic structure; safety monitoring; non-destructive test; data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The intelligent algorithm is a research method that is frequently used to solve critical scientific problems in the field of engineering. It has been extensively employed for the optimal design, structural simulation, safety monitoring and safety evaluation of water conservancy projects due to its capacity for regression, classification, clustering and dimension reduction. Experiments and numerical simulations are limited by the duration and cost of traditional research methods. With the advancement of sensors and measurement technology, a large volume of safety monitoring data has been accumulated in water conservancy projects. By utilizing various numerical calculation methods, such as finite element, boundary element and discrete element, numerous structural calculation data have been obtained for analysis. Intelligent algorithms have become a powerful tool for the collection of monitoring data and calculation data, for the mining of information, and for the accurate and rapid construction of associations. Combined with traditional computing techniques such as geotechnical tests, non-destructive testing and numerical simulation, intelligent algorithms enable us to understand various laws and mechanisms in water-conservancy projects, and thus achieve the fusion of mechanism and data; this is crucial in enhancing the safety of water conservancy projects and the development of society. Therefore, this Special Issue will focus on the application of intelligent algorithms in water conservancy projects. The scope of this Special Issue includes, but is not limited to, the following topics: the intelligent sensing of structural monitoring or detection data, data analysis for dam monitoring, the fusion of multi-source monitoring information, the inverse analysis of material parameters, agent models of the numerical simulation method, the safety evaluation of hydraulic structures, and the intelligent modelling of water conservancy projects.

Dr. Lin Cheng
Dr. Chunhui Ma
Prof. Dr. Jie Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • hydraulic engineering
  • safety monitoring
  • mechanism and data fusion
  • numerical simu-lation

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Published Papers (1 paper)

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Research

20 pages, 19968 KiB  
Article
Influence Mechanism of Spatial Variability of Permeability Coefficient on Seepage Characteristics of High Core Rockfill Dams: Insights from Numerical Simulations
by Qinqin Guo, Xiang Lu, Xiaolian Liu and Jiankang Chen
Water 2025, 17(7), 1064; https://doi.org/10.3390/w17071064 - 3 Apr 2025
Viewed by 246
Abstract
The spatial variability of permeability coefficients in multi-component materials poses significant challenges for the seepage safety of high core rockfill dams. This study systematically investigates the influence mechanism of the spatial variability of permeability coefficients on seepage characteristics through a stochastic framework combining [...] Read more.
The spatial variability of permeability coefficients in multi-component materials poses significant challenges for the seepage safety of high core rockfill dams. This study systematically investigates the influence mechanism of the spatial variability of permeability coefficients on seepage characteristics through a stochastic framework combining random field simulation, non-intrusive finite element analysis, and multi-scheme numerical experiments. Based on the measured data and statistical analysis, random fields of permeability coefficients are constructed, and eight computational schemes are designed to analyze the differential impacts of spatial variability in zones of the core wall, cut-off wall, rockfill, overburden, and curtain. The results show that the spatial variability of permeability coefficients in the rockfill, overburden, and curtain materials has a negligible effect on the seepage behavior, with the coefficient of variation of the hydraulic gradient at feature points remaining below 0.04. In contrast, the spatial variability of permeability in the core wall and cut-off walls significantly affects the seepage characteristics. Specifically, the hydraulic gradient in the core wall increases by an average of 4.8%, with a maximum increase of 34%, and the coefficient of variation of the hydraulic gradient at feature points ranges from 0.15 to 0.18. The maximum hydraulic gradient at the release point of the core wall rises from 1.67 to 1.75 when the spatial variability is considered. Additionally, the spatial variability of permeability in the core wall leads to greater discreteness in the hydraulic gradient of the cut-off walls, weakening the coordinated anti-seepage effect between the main and secondary cut-off walls. The statistical analysis reveals that the hydraulic gradient at feature points follows a normal distribution. Furthermore, when the coefficient of variation of the core wall permeability increases from 1.46 to 2.03, the maximum hydraulic gradient at key points rises from 2.0 to 2.3. These findings highlight the necessity for the strict quality control of permeability parameters in core wall and cut-off wall materials to ensure the long-term seepage safety of high core rockfill dams. Full article
(This article belongs to the Special Issue Application of Artificial Intelligence in Hydraulic Engineering, 2nd Edition)
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