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Technical Advances in Hydraulic Structure

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 July 2025 | Viewed by 1476

Special Issue Editors


E-Mail Website
Guest Editor
College of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: water conservancy geotechnical engineering; hydraulic structures; structural damage detection; structural health monitoring

E-Mail Website
Guest Editor
College of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: marine structure construction technology; offshore geotechnical engineering; ecological water resources engineering; coastal engineering

Special Issue Information

Dear Colleagues,

Hydraulic structures, which integrate principles from geotechnical, coastal, and structural engineering, play a critical role in ensuring the safety, functionality, and sustainability of water resource systems. This Special Issue, titled “Technical Advances in Hydraulic Structure”, will highlight innovative research and technological developments addressing the multifaceted challenges encountered in complex engineering environments and under evolving performance requirements.

We welcome original contributions that delve into the geotechnical challenges of hydraulic structures, including stability analysis, soil–structure interactions, and ground improvement techniques. Additionally, studies on the advanced design, construction, and performance evaluation of coastal and offshore structures are encouraged. Methodologies for damage detection, particularly those leveraging advanced sensing technologies and real-time monitoring systems, form another key focus area. This Special Issue also emphasizes the transformative potential of artificial intelligence in optimizing the design, performance analysis, predictive maintenance, and life-cycle management of hydraulic structures.

By promoting interdisciplinary approaches, the Special Issue will bridge theoretical advancements and practical applications, fostering innovative solutions that enhance the resilience, efficiency, and environmental sustainability of hydraulic infrastructures worldwide. Submissions showcasing experimental studies, field applications, or novel computational methodologies are particularly encouraged.

Recommended topics include, but are not limited to, the following:

  • Advanced computational method for dynamic modeling of hydraulic infrastructures;
  • Numerical simulations to predict the dynamic behavior of hydraulic structures under operational and extreme loading conditions;
  • Seismic analysis and design of hydraulic structures;
  • Advances in soil–structure interaction analysis;
  • Geotechnical challenges in the construction and stability of hydraulic structures;
  • Ground improvement techniques for hydraulic infrastructure;
  • Innovative materials and construction techniques for coastal protection;
  • Advanced techniques for identifying and quantifying structural damage;
  • Non-destructive testing and evaluation methods;
  • Multi-sensor data fusion and advanced analytics for structural health monitoring;
  • Machine learning algorithms for predictive maintenance and risk assessment;
  • Advanced neural network models for analyzing flow-structure interactions;
  • Machine learning approaches for predicting hydraulic structure responses.

Prof. Dr. Yonglai Zheng
Dr. Liquan Xie
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. Applied Sciences 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 2400 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
  • marine geotechnical engineering
  • soil-structure interaction
  • structural damage detection
  • structural health monitoring
  • artificial intelligence applications

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Published Papers (1 paper)

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Research

18 pages, 6724 KiB  
Article
Corrosion Detection and Grading Method for Hydraulic Metal Structures Based on an Improved YOLOv10 Sequential Architecture
by Haodong Cheng and Fei Kang
Appl. Sci. 2024, 14(24), 12009; https://doi.org/10.3390/app142412009 - 22 Dec 2024
Cited by 2 | Viewed by 1257
Abstract
Herein, we present a method for detecting and determining the corrosion level of hydraulic metal structure surfaces through images while reducing the difficulty of dataset annotation. To achieve accurate detection of corrosion targets, the MobileViTv3 block is integrated into YOLOv10, resulting in the [...] Read more.
Herein, we present a method for detecting and determining the corrosion level of hydraulic metal structure surfaces through images while reducing the difficulty of dataset annotation. To achieve accurate detection of corrosion targets, the MobileViTv3 block is integrated into YOLOv10, resulting in the proposed YOLOv10-vit for corrosion target detection. Based on YOLOv10-vit, the YOLOv10-vit-cls classification network is introduced for corrosion level determination. This network leverages the pre-trained parameters of YOLOv10-vit to more quickly learn the features of different corrosion levels. To avoid subjective factors in the corrosion level annotation process and reduce annotation difficulty, a cascaded corrosion detection architecture combining YOLOv10-vit and YOLOv10-vit-cls is proposed. Finally, based on the proposed corrosion detection architecture, we achieve accurate corrosion detection and level determination for hydraulic metal structures. Full article
(This article belongs to the Special Issue Technical Advances in Hydraulic Structure)
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