Structural Health Monitoring for Bridge Structures

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

Deadline for manuscript submissions: 30 July 2024 | Viewed by 857

Special Issue Editors


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Guest Editor
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Interests: structural health monitoring; intelligent operation & maintenance of structures; structural dynamics

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Guest Editor
College of Civil Engineering and Transportation, Hohai University, Nanjing, China
Interests: smart sensor networks; bridge health monitoring; data-driven structural condition evaluation
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Special Issue Information

Dear Colleagues,

Structural health monitoring (SHM) has emerged as a crucial field in ensuring the safety, reliability, and longevity of bridge structures. With the increasing complexity and aging infrastructure of bridges worldwide, the need for effective monitoring systems has become more pronounced than ever. The application of SHM techniques enables real-time assessment, the early detection of potential issues, and proactive maintenance strategies to prevent catastrophic failures.

In the past few years, Artificial Intelligence and Big Data technology have greatly promoted the development of structural health monitoring, assessment and maintenance. This Special Issue aims to bring together the latest advancements, research findings, and practical applications in the field of structural health monitoring for bridge structures. It provides a platform for researchers, engineers, and practitioners to share their innovative approaches, methodologies, and case studies for monitoring and evaluating the integrity and performance of bridge structures.

The scope of this Special Issue encompasses various aspects of SHM, including, but not limited to, the following:

  • Sensor technologies and data acquisition systems for bridge monitoring;
  • Advanced signal processing and data analysis techniques for structural health assessment;
  • Non-destructive testing and evaluation methods for bridge structures;
  • Wireless sensor networks and IoT applications in bridge monitoring;
  • Structural modeling and simulation for health monitoring and prognosis;
  • Remote sensing and imaging techniques for bridge inspection and monitoring;
  • Risk assessment and decision-making frameworks based on SHM data;
  • Case studies and practical applications of SHM in bridge structures.

Authors are invited to submit original research papers, review articles, or technical notes that address the challenges and advancements in the field of structural health monitoring for bridge structures. The papers should present novel contributions, experimental studies, or innovative applications that push the boundaries of SHM technology and its practical implementation.

We encourage submissions that demonstrate interdisciplinary approaches, theoretical developments, or practical innovations in the field. The submitted papers will undergo a rigorous peer-review process to ensure the quality, originality, and relevance to the theme of this Special Issue.

We hope that this Special Issue will serve as a valuable resource for researchers, practitioners, and policymakers in the field of bridge engineering, fostering collaborations and facilitating the exchange of knowledge and ideas to address the critical challenges in structural health monitoring of bridge structures.

Dr. Yi Zhou
Prof. Dr. Guangdong Zhou
Guest Editors

Manuscript Submission Information

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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

  • bridge structures
  • structural health monitoring
  • sensor technology
  • condition assessment
  • damage detection
  • non-destructive testing data analytics
  • life-cycle management

Published Papers (1 paper)

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Research

20 pages, 7568 KiB  
Article
Study on Corrosion Monitoring of Reinforced Concrete Based on Longitudinal Guided Ultrasonic Waves
by Ji Qian, Peiyun Zhang, Yongqiang Wu, Ruixin Jia and Jipeng Yang
Appl. Sci. 2024, 14(3), 1201; https://doi.org/10.3390/app14031201 - 31 Jan 2024
Viewed by 466
Abstract
The corrosion of reinforced concrete (RC) is one of the most serious durability problems in civil engineering structures, and the corrosion detection of internal reinforcements is an important basis for structural durability assessment. In this paper, the appropriate frequency required to cause excitation [...] Read more.
The corrosion of reinforced concrete (RC) is one of the most serious durability problems in civil engineering structures, and the corrosion detection of internal reinforcements is an important basis for structural durability assessment. In this paper, the appropriate frequency required to cause excitation signals in the specimen is first analyzed by means of frequency dispersion curves. Subsequently, the effectiveness of five damage indexes (DIs) is discussed using random corrosion in finite elements. Finally, guided ultrasonic wave (GUW) tests are conducted on reinforcement and RC specimens at different corrosion degrees, and the test results are verified using a theoretical corrosion model. The results show that the larger the covered thickness is at the same frequency, the higher the modal order of the GUW in the frequency dispersion curve is, and the smaller the group velocity is. The SAD is the most sensitive to the corrosion state of the reinforcement compared with the other DIs, and it shows a linear increasing trend with the increase in the corrosion degree of the reinforcement. The SAD values of the RC specimens showed a three-stage change with the increase in the corrosion time, and the time until the appearance of corrosion cracks was increased with the increase in the covered thickness. It can be seen that increasing the covered thickness is an effective method to delay the time until the appearance of corrosion cracks in RC specimens. Full article
(This article belongs to the Special Issue Structural Health Monitoring for Bridge Structures)
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