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New Aseismic Technology and Methods in Hydraulic Structures and Geotechnical...
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New Aseismic Technology and Methods in Hydraulic Structures and Geotechnical Engineering

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Soil and Water".

Deadline for manuscript submissions: 20 June 2026 | Viewed by 1177

Special Issue Editors

Dr. Xiang Yu

E-Mail Website
Guest Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, China
Interests: dam engineering; overburden foundation; dynamic response; damage of concrete diaphragm structure; liquefaction and stability analysis; numerical analysis method; refined analysis method
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yuke Wang

E-Mail Website
Guest Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, China
Interests: mechanical characteristics of soil; constitutive model of soil; foundation treatment; traffic geotechnical engineering; infrastructure inspection and ecological restoration;
Special Issues, Collections and Topics in MDPI journals
Dr. Yongqian Qu

E-Mail Website
Guest Editor
School of Water Conservancy and Transportation, Dalian University of Technology, Dalian, China
Interests: rockfill dam engineering; dynamic analysis; soil-structure interaction; multi-numerical analysis method; discontinuous deformation analysis; damage and failure of anti-seepage structure; overburden foundation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global seismic activity is frequent, and statistics for the past decade show that the average annual number of strong earthquakes above 6.0 on the Richter scale is more than a few hundred, posing a serious threat to the safety of engineering structures. Under the action of strong earthquakes, hydraulic buildings may experience damage modes such as structural instability and loss of function and, at the same time, induce secondary disasters such as to foundations.

In order to effectively deal with the challenges of earthquake damages to hydraulic structures and geotechnical engineering, it is particularly urgent to develop and apply new seismic technologies and methods, not only improving the safety and reliability of hydraulic structures and geotechnical engineering in earthquakes, but also providing more scientific and effective theoretical and technical support for engineering design, construction, operation, and maintenance.

This Special Issue, titled “New Aseismic Technology and Methods in Hydraulic Structures and Geotechnical Engineering”, aims to gather cutting-edge research results and promote the innovative development of anti-seismic technologies in this field. The topics of interest include but are not limited to seismic response analyses and seismic design of hydraulic structures, seismic disaster prevention and control technologies in geotechnical engineering, research and optimization of ground motion input methods, and developments in fine numerical simulation and experimental technology.

We firmly believe that these themes are of great significance to the safe and sustainable development of hydropower resources and infrastructure.

Dr. Xiang Yu
Prof. Dr. Yuke Wang
Dr. Yongqian Qu
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 250 words) can be sent to the Editorial Office for assessment.

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

  • hydraulic structures
  • geotechnical engineering
  • soft foundation
  • numerical simulation
  • experimental technology
  • dynamic response
  • damage behavior
  • liquefaction
  • stability
  • reliability analysis
  • treatment measure

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Published Papers (2 papers)

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Research

24 pages, 6307 KB  
Article
Refined Three-Dimensional Model of Concrete Cutoff Wall in Deep Overburden for Dynamic Numerical Simulation
by Yifan Ding, Junjie Hua, Yongqian Qu, Yongguang Fu and Xiang Yu
Water 2026, 18(9), 1061; https://doi.org/10.3390/w18091061 - 29 Apr 2026
Viewed by 235
Abstract
The mechanical performance of concrete cutoff walls in deep overburden is decisive for dam safety. Current coarse mesh models struggle to accurately simulate their response under complex conditions. In this paper, a refined numerical model is established specifically for a concrete cutoff wall [...] Read more.
The mechanical performance of concrete cutoff walls in deep overburden is decisive for dam safety. Current coarse mesh models struggle to accurately simulate their response under complex conditions. In this paper, a refined numerical model is established specifically for a concrete cutoff wall in deep overburden. The deformation and stress characteristics and mesh sensitivity of the cutoff wall are systematically investigated. A quantitative index of overstress area ratio is introduced innovatively, and the effects of cutoff wall mesh size along the thickness direction, dam height, and overburden parameters on the deformation and stress characteristics of the cutoff wall are explored in detail. The results show that the stress characteristics of the cutoff wall requires a fine mesh model with an element thickness ≤ 1/4 of the cutoff wall. The change in dam height and overburden parameters mainly affects the stress magnitude of the cutoff wall but does not change its tensile stress distribution pattern. The variable-size mesh generation achieves collaborative optimization of accuracy and efficiency, and the calculation amount is significantly reduced by about 16%, with error below 5%. This study presents an efficient method and can provide technical support for the safety evaluation of concrete cutoff walls in deep overburden. Full article
(This article belongs to the Special Issue New Aseismic Technology and Methods in Hydraulic Structures and Geotechnical Engineering)
31 pages, 5309 KB  
Article
Analysis of Embankment Seepage Responses Based on Physics-Informed Neural Networks Surrogate Model
by Cekai Fu, Qiang Wang, Chenfei Shao, Yanxin Xu and Sen Zheng
Water 2026, 18(6), 749; https://doi.org/10.3390/w18060749 - 23 Mar 2026
Viewed by 414
Abstract
Accurate and efficient analysis of embankment seepage is of vital importance for scientific assessment of embankment safety. Conventional numerical simulation techniques for embankment seepage analysis suffer from high computational cost and low efficiency. To address this issue, this paper proposes an embankment seepage [...] Read more.
Accurate and efficient analysis of embankment seepage is of vital importance for scientific assessment of embankment safety. Conventional numerical simulation techniques for embankment seepage analysis suffer from high computational cost and low efficiency. To address this issue, this paper proposes an embankment seepage response analysis method based on physical information neural network (PINN). Initially, this method considering the fluid–solid coupling and spatial variability of soil parameters of the embankment. Consequently, a numerical simulation method was developed using the finite difference method to analyze the seepage response. On this basis, a neural network loss function for the surrogate model is introduced by integrating the governing equations for fluid–solid coupling of embankments with boundary conditions. This integration incorporates physical restrictions into the seepage analysis, hence improving its interpretability. Furthermore, a feature sequence is derived from the soil parameter field via a Variational Autoencoder (VAE) to diminish input dimensionality and improve training accuracy. The feature sequence and hydraulic loading function as the model input, while the output is the piezometric head obtained from the pore water pressure. The PINN model is trained by numerical simulation results to establish the surrogate model for seepage responses analysis. A case study on the practical embankment engineering is employed to confirm the feasibility and efficacy of the proposed strategy. Comparative tests demonstrate that the PINN surrogate model markedly enhances computational accuracy relative to conventional baseline models. Overall, this approach offers a trustworthy and effective method for rapid and accurate assessment of embankment seepage characteristics. Full article
(This article belongs to the Special Issue New Aseismic Technology and Methods in Hydraulic Structures and Geotechnical Engineering)
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