Advances in Reinforced Concrete Structural Health Monitoring

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

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1844

Special Issue Editor


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Guest Editor
Department of Civil Engineering, College of Engineering and Computer Sciences, Marshall University, Huntington, WV 25755, United States
Interests: SHM; NDT; concrete bridges; transportation infrastructure; deterioration; maintenance; structural risk assessment; asset management; FRP composites; green and sustainable infrastructure

Special Issue Information

Dear Colleagues,

I am pleased to invite you to submit to the Applied Sciences Special Issue on Advances in Reinforced Concrete Structural Health Monitoring. We are seeking the latest research on advances and developments in relevant areas of structural health monitoring.

Studies addressing the readiness of structural health monitoring for field application are welcome. Manuscripts which focus on advancing technologies and innovative protocols are also encouraged. We also seek submissions that describe the selection process for appropriate devices and sensors, analytical approaches to monitoring the health of reinforced and prestressed concrete and interpreting recorded data sets, work focused on implementing structural health monitoring for safe, resilient and reliable concrete infrastructure, and lessons learnt from the advanced monitoring of the structural health of reinforced concrete structures.

Prof. Dr. Wael Zatar
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

  • reinforced concrete
  • prestressed concrete
  • instrumentation
  • structural health monitoring, data interpretation
  • damage characterization
  • resilience

Published Papers (2 papers)

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Research

16 pages, 5932 KiB  
Article
New Concept of Dual-Sinusoid Distributed Fiber-Optic Sensors Antiphase-Placed for the SHM of Smart Composite Structures for Offshore
by Hao Su, Monssef Drissi-Habti and Valter Carvelli
Appl. Sci. 2024, 14(2), 932; https://doi.org/10.3390/app14020932 - 22 Jan 2024
Viewed by 818
Abstract
This work is a follow-up to previous research by our team and is devoted to studying a dual-sinusoidal placement of distributed fiber-optic sensors (FOSs) that are embedded inside an adhesive joint between two composite laminates. The constructed smart continuous fiber-reinforced polymer composite structure [...] Read more.
This work is a follow-up to previous research by our team and is devoted to studying a dual-sinusoidal placement of distributed fiber-optic sensors (FOSs) that are embedded inside an adhesive joint between two composite laminates. The constructed smart continuous fiber-reinforced polymer composite structure is well suited to the structural health monitoring (SHM) system for offshore wind turbine blades. Three main drawbacks of SHM through embedded distributed FOSs, however, have been identified in this article, so their impact must be analyzed. Despite existing research, the influence of the dual-sinusoidal placement under various loading conditions on structural mechanical behavior and sensing functionality has not been considered yet since its introduction. Thus, this study aims to identify the resulting strain patterns and sensing capabilities from an optimized dual-sinusoidal placement of FOSs in various loading cases through finite element modeling. Ultimately, this work illustrates the strain-measuring advantages of dual-sinusoidal FOSs, explains the correspondence between the strains measured by FOSs and that of host structures, and discusses the balance among mechanical influences, sensing functions, and monitoring coverage. It is worth noting that the current work is a still introductory concept that aims at refining key parameters that have been emphasized in previous research, before starting an applied study that will consider both numerical and validation steps on real large smart composite structures. Full article
(This article belongs to the Special Issue Advances in Reinforced Concrete Structural Health Monitoring)
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14 pages, 6979 KiB  
Article
Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging
by Thanh Thi Pham, Doyun Kim, Ukyong Woo, Su-Gwang Jeong and Hajin Choi
Appl. Sci. 2023, 13(24), 13025; https://doi.org/10.3390/app132413025 - 06 Dec 2023
Viewed by 644
Abstract
The objective of this study is to develop a monitoring algorithm that measures the displacement of concrete structures using light detection and ranging (LiDAR). The suggested method is based on non-contact measurements providing 3D point clouds of the scanning area with high resolution. [...] Read more.
The objective of this study is to develop a monitoring algorithm that measures the displacement of concrete structures using light detection and ranging (LiDAR). The suggested method is based on non-contact measurements providing 3D point clouds of the scanning area with high resolution. This overcomes the limitation of traditional contact-type and point-based measurement methods such as linear variable differential transformer (LVDT) and strain gauge. The developed algorithm enables one to track the boundaries of a concrete specimen and measures the vertical or lateral displacement. To demonstrate that displacement in the horizontal and vertical direction can be measured irrespective of the field of view (FOV), two different concrete specimens were constructed where gradually increasing vertical or lateral loads were applied. Then, the displacements were monitored using the set of LVDT and LiDAR for the correlation analysis. The results demonstrated a high accuracy of 98~99% correlation in comparison between LVDT and LiDAR. Full article
(This article belongs to the Special Issue Advances in Reinforced Concrete Structural Health Monitoring)
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