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Water
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Safety Monitoring of Hydraulic Structures
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Safety Monitoring of Hydraulic Structures

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

Deadline for manuscript submissions: 25 June 2024 | Viewed by 2522

Special Issue Editor

Prof. Dr. Zhao Erfeng

E-Mail Website
Guest Editor
State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Interests: hydraulic structure; monitoring; risk assessment; health diagnosis; numerical simulation; model test; data mining; modelling

Special Issue Information

Dear Colleagues,

The theme of the Special Issue is ‘Safety Monitoring of Hydraulic Structures’. It mainly focuses on the research fields of ‘Structural Health Monitoring Methods and Techniques’, ’Computation Theories and Experimental Techniques’, ’ Materials and Reinforcement’, and ’Intelligent Construction’. It is dedicated to providing experts, scholars, engineers, etc., from different colleges and universities, research institutes, enterprises and institutions from home and abroad with an academic platform to share academic research findings, explore cutting-edge engineering issues and discuss current opportunities and challenges in a concerted effort to promote international cooperation and communication and the industrialization of scientific research results.

Prof. Dr. Zhao Erfeng
Guest Editor

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

  • hydraulic structure
  • safety monitoring
  • sensing technology
  • data mining
  • modelling
  • reliability analysis
  • failure simulation
  • new materials for sensing
  • performance improvement
  • artificial intelligence

Published Papers (2 papers)

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Research

22 pages, 16640 KiB  
Article
Deformation Field Analysis of Small-Scale Model Experiment on Overtopping Failure of Embankment Dams
by Qiang Lu, Yanchang Gu, Shijun Wang, Xiandong Liu and Hong Wang
Water 2023, 15(24), 4309; https://doi.org/10.3390/w15244309 - 18 Dec 2023
Viewed by 809
Abstract
There are a large number of reservoir dams in China, of which embankment dams account for more than 90%, and public safety will be seriously endangered in case of dam failure. Overtopping is the leading cause of dam failure, and the existing research [...] Read more.
There are a large number of reservoir dams in China, of which embankment dams account for more than 90%, and public safety will be seriously endangered in case of dam failure. Overtopping is the leading cause of dam failure, and the existing research mainly focuses on the study of the failure process, with less research on the change in the deformation field during the failure process. In this study, the measured deformation field data of a modeled embankment dam during the whole process of impoundment, operation, and failure were obtained by carrying out indoor small-scale model experiments of overtopping failure, embedding inclinometers inside the dam body, and setting vertical displacement measurement markers on the surface. A refined analysis of the measured deformation data shows that the dam body displaces vertically downward during the impoundment stage and the vertical displacement at the dam crest has the largest amplitude; the internal horizontal displacement changes to the left bank and downstream side, and the amplitude of the internal horizontal displacement (upstream and downstream direction and dam axis direction) on the right dam sections is more significant than that in the middle of the dam; during the breaching stage, the time sequence of the sudden change in each internal horizontal displacement measuring point is from the downstream side to the upstream side and from the higher elevation to the lower elevation, which is basically consistent with the process of overtopping of embankment dams; and the overall sudden change in left and right bank horizontal displacements within the downstream side of the dam crest and the downstream side of the dam body gauges is significant, and the sudden change in upstream and downstream horizontal displacement (U&D HD) within the downstream side of the dam crest gauges is significant. The experimental analysis results can support the disaster mechanism of embankment dam failure and the theory of early warning of failure. Full article
(This article belongs to the Special Issue Safety Monitoring of Hydraulic Structures)
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23 pages, 7030 KiB  
Article
Stress Prediction Model of Super-High Arch Dams Based on EMD-PSO-GPR Model
by Chunyao Hou, Yilun Wei, Hongyi Zhang, Xuezhou Zhu, Dawen Tan, Yi Zhou and Yu Hu
Water 2023, 15(23), 4087; https://doi.org/10.3390/w15234087 - 24 Nov 2023
Cited by 1 | Viewed by 922
Abstract
In response to the challenge of limited model availability for predicting the lifespan of super-high arch dams, a hybrid model named EMD-PSO-GPR (EPR) is proposed in this study. The EPR model leverages Empirical Mode Decomposition (EMD), Gaussian Process Regression (GPR), and Particle Swarm [...] Read more.
In response to the challenge of limited model availability for predicting the lifespan of super-high arch dams, a hybrid model named EMD-PSO-GPR (EPR) is proposed in this study. The EPR model leverages Empirical Mode Decomposition (EMD), Gaussian Process Regression (GPR), and Particle Swarm Optimization (PSO) to provide an effective solution for super-high arch dam stress prediction. This research focuses on three strategically selected measurement points within the dam, characterized by complex stress conditions. The predicted results from the EPR are compared with those from GPR, Long Short-Term Memory (LSTM), and Support Vector Regression (SVR), using actual stress data measured at research points within a super-high arch dam in Southwest China. The findings reveal that the proposed EPR model attains a maximum mean absolute error (MAE) of 0.02916 and a maximum root mean square error (RMSE) of 0.03055, surpassing the compared models. As a result, the EPR model introduces an innovative computational framework for stress prediction in super-high arch dams, excelling in handling stress data characterized by high vibration frequencies and providing more accurate predictions. Full article
(This article belongs to the Special Issue Safety Monitoring of Hydraulic Structures)
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