Advances in Intelligent Bridge: Maintenance and Monitoring

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

Deadline for manuscript submissions: 20 September 2024 | Viewed by 390

Special Issue Editor


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Guest Editor
School of Transportation, Southeast University, Nanjing 211189, China
Interests: bridge engineering; advanced steel for bridges; corrosion prevention for bridges; evaluation and design of structural fatigue resistance; smart construction of bridges

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Special Issue on Advances in Intelligent Bridge: Maintenance and Monitoring.

In the landscape of infrastructure engineering, bridges stand as critical assets essential for transportation and urban development. However, as these structures age and are subjected to environmental and load stresses, their maintenance and monitoring become increasingly challenging. Intelligent technologies present opportunities to revolutionize how we approach these challenges. Intelligent bridge maintenance and monitoring encompass a range of cutting-edge technologies such as advanced sensor systems, artificial intelligence, machine learning, and big data analytics. These technologies enable real-time data collection and analysis, predictive maintenance, and informed decision-making. These approaches improve the longevity and reliability of bridge structures and also reduce bridge failure risks. In this Special Issue, we expect authors to contribute their insights, studies, and innovations in this field. Submissions may cover a range of topics including, but not limited to, the development of new sensor technologies, AI algorithms for structural health monitoring, automated inspection techniques, advanced materials for bridge repair and reinforcement, and case studies demonstrating these technologies in real-world scenarios.

Dr. Jia Wang
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. 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

  • new sensor technology
  • AI algorithm for bridge health monitoring
  • automated inspection techniques
  • advanced materials for bridge repair and reinforcement

Published Papers (1 paper)

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Research

21 pages, 6591 KiB  
Article
Design and Evaluation of Novel Submerged Floating Tunnel Models Based on Dynamic Similarity
by Hongyu Ren, Tong Guo, Zhongxiang Liu, Guoliang Zhi and Xiangyang Xu
Appl. Sci. 2024, 14(9), 3724; https://0-doi-org.brum.beds.ac.uk/10.3390/app14093724 - 27 Apr 2024
Viewed by 261
Abstract
Submerged floating tunnels (SFTs), also known as the Archimedes Bridge, are new transportation structures designed for crossing deep waters. Compared with cross-sea bridges and subsea tunnels, SFTs offer superior environmental adaptability, reduced construction costs, and an enhanced spanning capacity, highlighting their significant development [...] Read more.
Submerged floating tunnels (SFTs), also known as the Archimedes Bridge, are new transportation structures designed for crossing deep waters. Compared with cross-sea bridges and subsea tunnels, SFTs offer superior environmental adaptability, reduced construction costs, and an enhanced spanning capacity, highlighting their significant development potential and research value. This paper introduces a new type of SFT scale model for hydrodynamic experiments, adhering to the criteria for geometric similarity, motion similarity, and dynamic similarity principles, including the Froude and Cauchy similarity principles. This model enables the accurate simulation of the elastic deformation of the tunnel body and complex hydrodynamic phenomena, such as fluid–structure interactions and vortex–induced vibrations. Moreover, this paper details the design methodology, fabrication process, and method for similarity evaluation, covering the mass, deflection under load, natural frequency in air, and the natural frequency of the various underwater motion freedoms of the model. The results of our experiments and numerical simulations demonstrate a close alignment, proving the reliability of the new SFT scale model. The frequency distribution observed in the white noise wave tests indicates that the SFT equipped with inclined mooring cables experiences a coupled interaction between horizontal motion, vertical motion, and rotation. Furthermore, the design methodology of this model can be applied to other types of SFTs, potentially advancing technical progress in scale modeling of SFTs and enhancing the depth of SFT research through hydrodynamic experiments. Full article
(This article belongs to the Special Issue Advances in Intelligent Bridge: Maintenance and Monitoring)
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