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Water
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New Methods and Technologies of Hydraulic Engineering Safety Assessment
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New Methods and Technologies of Hydraulic Engineering Safety Assessment

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

Deadline for manuscript submissions: 31 August 2024 | Viewed by 2346

Special Issue Editors

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
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
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,

As the main means of water resource allocation, the safety status of hydraulic structures is directly related to the efficiency of water resource utilization, economic and social development, human quality of life, and the sustainable development of the ecological environment. For structural aging and complex operating environments, the safety assessments of hydraulic engineering are beneficial for the timely and accurate identification of safety hazards and problems in dams, predicting their development trends, and providing a scientific basis for decision-makers. Numerous engineers and scientists have been analyzing the safety status of hydraulic structures using advanced technologies and methods such as various safety monitoring facilities, numerical simulations, intelligent algorithms, and non-destructive testing, providing recommendations for subsequent maintenance, reinforcement, and demolition decisions. Therefore, in the process of engineering safety assessment, if various new methods and technologies can be adopted to further improve the accuracy of monitoring data processing, numerical simulation, and on-site detection, it is of great significance to improve the safety of hydraulic structures and the development level of human society. This Special Issue mainly focuses on new methods and technologies for the safety assessments of hydraulic structures, such as new methods for processing safety monitoring data, new non-destructive testing technologies, and new models for comprehensive evaluation. We would like to invite you to submit your research paper to this Special Issue. The main topics of this Special Issue include, but are not limited to, the following: dam safety monitoring model, data processing and analysis of dam monitoring, inverse analysis of material parameters, model of numerical simulation methods, and safety assessment model of hydraulic structures.

Dr. Chunhui Ma
Dr. Lin Cheng
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

  • hydraulic engineering
  • safety monitoring
  • monitoring data analysis
  • artificial intelligence
  • numerical simulation
  • safety evaluation
  • risk analysis

Published Papers (3 papers)

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Research

21 pages, 4735 KiB  
Article
Safety Monitoring Method for the Uplift Pressure of Concrete Dams Based on Optimized Spatiotemporal Clustering and the Bayesian Panel Vector Autoregressive Model
by Lin Cheng, Jiaxun Han, Chunhui Ma and Jie Yang
Water 2024, 16(8), 1190; https://doi.org/10.3390/w16081190 - 22 Apr 2024
Viewed by 385
Abstract
To establish a safety monitoring method for the uplift pressure of concrete dams, spatiotemporal information from monitoring data is needed. In the present study, the method of ordering points to identify the clustering structure is employed to spatially cluster the uplift pressure measuring [...] Read more.
To establish a safety monitoring method for the uplift pressure of concrete dams, spatiotemporal information from monitoring data is needed. In the present study, the method of ordering points to identify the clustering structure is employed to spatially cluster the uplift pressure measuring points at different locations on the dam; three distance indexes and two clustering evaluation indexes are used to realize clustering optimization and select the optimal clustering results. The Bayesian panel vector autoregressive model is used to establish the uplift stress safety monitoring model for each category of monitoring point. For a nonstationary sequence, the difference method is selected to ensure that the sequence is stable, and the prediction is carried out according to the presence or absence of exogenous variables. The result is that the addition of exogenous variables increases the accuracy of the model’s forecast. Engineering examples show that the uplift pressure measurement points on the dam are divided into seven categories, and classification is based mainly on location and influencing factors. The multiple correlation coefficients of the training set and test set data of the BPVAR model are more than 0.80, and the prediction error of the validation set is lower than that of the Back Propagation neural network, XGBoost algorithm, and Support Vector Machines. The research in this paper provides some reference for seepage monitoring of concrete dams. Full article
(This article belongs to the Special Issue New Methods and Technologies of Hydraulic Engineering Safety Assessment)
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21 pages, 2923 KiB  
Article
Dynamic Response of PCCP under the Rockfall Impact Based on the Continuous–Discontinuous Method: A Case Study
by Chunhui Ma, Ying Tu, Yonglin Zhou, Jie Yang and Lin Cheng
Water 2024, 16(6), 801; https://doi.org/10.3390/w16060801 - 07 Mar 2024
Viewed by 798
Abstract
Rockfalls are major geological hazards threatening prestressed concrete cylinder pipes (PCCPs) in water diversion projects. To accurately assess the impact of large deformation movements of rockfalls on PCCPs, this study utilized the continuous–discontinuous method to investigate the dynamic response of a PCCP under [...] Read more.
Rockfalls are major geological hazards threatening prestressed concrete cylinder pipes (PCCPs) in water diversion projects. To accurately assess the impact of large deformation movements of rockfalls on PCCPs, this study utilized the continuous–discontinuous method to investigate the dynamic response of a PCCP under a rockfall. The impact mode of rockfalls, the mechanical characteristics of PCCP, and the nonlinear-contact characteristics between soil and PCCP were considered in this study. The advantages of continuous and discontinuous numerical simulation methods were utilized to establish a continuous and discontinuous coupling model of “tube-soil-rock” considering the interaction of soil and structure. The impact mechanism and process of PCCP under the rockfall were investigated by simulating the rockfall process and analyzing its spatiotemporal evolution. The influence of PCCP under rockfalls with different heights and radii was studied to clarify the effects of these two parameters on the PCCP. Combined with a practical application example of large-scale water transfer projects, there is a tendency of center flattening under static load and dynamic impact load, and the PCCP part directly below the impact point is the most dangerous. This investigation provided a comprehensive understanding of the impact mechanism of the PCCPs under rockfall. The findings of this study have significant implications for the design of the protection engineering of PCCPs and ensuring the safe operation of water diversion projects. Full article
(This article belongs to the Special Issue New Methods and Technologies of Hydraulic Engineering Safety Assessment)
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25 pages, 41787 KiB  
Article
Stress Prediction Model of Super-High Arch Dams during Their Initial Operation Stages
by Rongliang Cheng, Xiaofeng Han and Zhiqiang Wu
Water 2024, 16(5), 746; https://doi.org/10.3390/w16050746 - 01 Mar 2024
Viewed by 670
Abstract
It is of great significance to identify the spatiotemporal stress distribution characteristics to ensure the safety of a super-high arch dam during the initial operation stage. Taking the 285.5 m-high Xiluodu Dam as an example, the spatiotemporal distribution characteristics were analyzed based on [...] Read more.
It is of great significance to identify the spatiotemporal stress distribution characteristics to ensure the safety of a super-high arch dam during the initial operation stage. Taking the 285.5 m-high Xiluodu Dam as an example, the spatiotemporal distribution characteristics were analyzed based on the five-year observation data after impoundment. Statistical and boosted-regression-tree-based prediction models for the dam stress were established. The boosted-regression-tree-based prediction model is more accurate than the statistical model. The monitoring indicators for the measuring points of focused locations were determined using the confidence interval estimation method. The results show that the dam was in a compression state, and the arching effect was obvious. The arch direction compressive stress gradually increased and stabilized, and the maximum appeared in the middle of the upstream face of the crown cantilever monolith. For the crown cantilever, the cantilever direction stress at the dam heel was significantly affected by the interior temperature recovery, and the arch direction stress in the middle of the upstream face was significantly affected by the reservoir water level. The measuring points of the focused locations with reliable observation data can be selected as a monitoring index to guide the initial operation. Full article
(This article belongs to the Special Issue New Methods and Technologies of Hydraulic Engineering Safety Assessment)
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