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Applied Sciences
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Structural Health Monitoring of Civil Structures and Infrastructures
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Structural Health Monitoring of Civil Structures and Infrastructures

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

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 5720

Special Issue Editors

Dr. M. Shamim Miah

E-Mail Website
Guest Editor
Institute of Engineering Geodesy and Measurement Systems (IGMS), Technische Universität Graz (TU Graz), A-8010 Graz, Austria
Interests: structural health monitoring; structural dynamics; smart structures
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Werner Lienhart

E-Mail Website
Guest Editor
Institute of Engineering Geodesy and Measurement Systems, Graz University of Technology, Steyrergasse 30/II, A-8010 Graz, Austria
Interests: distributed fiber optic sensing; machine learning; condition based & predictive maintenance; sensor testing & calibration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Civil structures and infrastructures are vulnerable to the extreme dynamic forces, such as gale load or earthquake. In order to keep such structures safe and healthy, many modern structures are adopting vibration mitigation technologies, e.g., active/passive/semi-active controlling devices. The further sensory information-based monitoring and damage detection of structures are gaining attention, as it saves money, time and lives, in contrast to manual monitoring. Due to the sensors and technological developments, real-time control and monitoring are also possible to implement for reducing the damage of important structures. Hence, the aim of this Special Issue would be gathering scientific knowledge and updates via the submission from the experts through their high-quality scientific paper, case studies, or state-of-the-art review works on the relevant area.

More specifically, this Special Issue will aim to cover the following: development of vibration mitigation technologies, e.g., active, passive and semi-active structural health monitoring damage detection and identification system identification strategy vibration mitigation and control under dynamic loads structural life-cycle assessments implementation of optimization algorithm for structural performance enhancement data-based modelling.

Dr. M. Shamim Miah
Prof. Dr. Werner Lienhart
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

  • structural health monitoring
  • structural dynamics
  • vibration control
  • system identification
  • optimization and modelling
  • sensor fusion

Published Papers (4 papers)

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Research

15 pages, 6443 KiB  
Article
Runway Pavement Structural Analysis Using Remote Laser Doppler Vibrometers
by Ge Yang, Xindong Zhao, Yu Tian and Lingjie Li
Appl. Sci. 2023, 13(18), 10539; https://doi.org/10.3390/app131810539 - 21 Sep 2023
Cited by 1 | Viewed by 827
Abstract
Structural analysis is crucial for airfield pavement evaluation and plays a critical role in ensuring airfield operation safety and efficiency. Traditionally, the evaluation has relied on the Heavy Weight Deflectometer (HWD) test. This method encounters challenges, including interruptions in airfield operations, limited coverage [...] Read more.
Structural analysis is crucial for airfield pavement evaluation and plays a critical role in ensuring airfield operation safety and efficiency. Traditionally, the evaluation has relied on the Heavy Weight Deflectometer (HWD) test. This method encounters challenges, including interruptions in airfield operations, limited coverage of inspection locations, and extensive time required for data collection and analysis. In the presented research, a remote method for the measurement and analysis of runway pavement structural deflection induced by transiting aircraft was introduced, employing a Remote Laser Doppler Vibrometer (RLDV). First, a test system was developed to acquire deflection measurements of airport pavements using RLDV. To address inaccuracies arising from minor angle measurements and fixed-end beam vibrations, vibration correction methods were developed and validated. Thereafter, a linear regression model was constructed using data from both RLDV and HWD measurements, yielding a correlation coefficient of 0.94. This correlation highlights the reliable utility of RLDV in analyzing pavement structural response. The objective of this research is to present a novel approach for the evaluation of pavement structural performance. Full article
(This article belongs to the Special Issue Structural Health Monitoring of Civil Structures and Infrastructures)
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16 pages, 3968 KiB  
Article
Localization of Cracks in Concrete Structures Lacking Reference Objects and Feature Points Using an Unmanned Aerial Vehicle
by Seung-Chan Baek, Jintak Oh, Hyun-Jung Woo, In-Ho Kim and Sejun Jang
Appl. Sci. 2023, 13(17), 9918; https://doi.org/10.3390/app13179918 - 1 Sep 2023
Cited by 2 | Viewed by 879
Abstract
Information on the location of cracks in concrete structures is an important factor enabling appropriate maintenance or reinforcement measures to be taken. Most studies related to concrete cracks are limited to crack detection and identification, and studies related to crack location information are [...] Read more.
Information on the location of cracks in concrete structures is an important factor enabling appropriate maintenance or reinforcement measures to be taken. Most studies related to concrete cracks are limited to crack detection and identification, and studies related to crack location information are insufficient. The novelty of this study is to develop application technology related to crack localization by proposing a methodology that can estimate the location of concrete cracks even when reference objects or feature points are lacking using an unmanned aerial vehicle and image processing techniques. For the development and verification of the proposed method, aerial photography and image acquisition were performed using mounting a laser pointer model on an unmanned aerial vehicle. To build the analysis data, image distortion correction and feature point extraction were performed using the homography matrix and scale-invariant feature transform algorithm. Spatial information was established using the point cloud technique and image stitching technique, and crack localization was estimated using generating crack expression data via layer merging. The proposed method was validated using comparison with field-measured data. In the future, the proposed methodology can be utilized for supplementing and improving the conventional methods for visual inspection of infrastructures and facilities. Full article
(This article belongs to the Special Issue Structural Health Monitoring of Civil Structures and Infrastructures)
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17 pages, 4917 KiB  
Article
Load Transfer Efficiency Assessment of Concrete Pavement Joints Using Distributed Optical Vibration Sensor
by Mengyuan Zeng, Hongduo Zhao, Kedi Peng, Zeying Bian and Difei Wu
Appl. Sci. 2022, 12(18), 9273; https://doi.org/10.3390/app12189273 - 15 Sep 2022
Viewed by 1448
Abstract
This paper presents a method to assess the load transfer efficiency (LTE) of concrete pavement joints using distributed optical vibration sensors. First, a theoretical analysis of concrete pavement vibration was conducted to investigate how to reflect LTE by spectral amplitude. Second, distributed optical [...] Read more.
This paper presents a method to assess the load transfer efficiency (LTE) of concrete pavement joints using distributed optical vibration sensors. First, a theoretical analysis of concrete pavement vibration was conducted to investigate how to reflect LTE by spectral amplitude. Second, distributed optical vibration sensor (DOVS) was applied to measure vibration around joints distributedly. Third, the corresponding processing method for DOVS data was proposed to calculate the ratio of spectral amplitude from different slabs through power spectral density (PSD) analysis. Then, field tests were conducted on nine concrete pavement slabs with three different types of joints (dummy joint, rabbet joint, and dowel bars). The deflection-based method as well as the proposed vibration-based method were employed to assess the LTE of eleven joints on two different dates. The comparative analysis results indicate the deflection-based LTE (DLTE) and the ratio of PSD (RPSD) have a strong correlation (0.871) and a slight difference (<±0.03) overall. The correlation is robust in different dates and types of joints (0.844~0.88). These findings prove the accuracy and effectiveness of the proposed vibration-based method. Full article
(This article belongs to the Special Issue Structural Health Monitoring of Civil Structures and Infrastructures)
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18 pages, 7543 KiB  
Article
Investigation of Time-Varying Cable Tension of Bridges Using Time-Frequency Reassignment Techniques Based on Structural Health Monitoring Data
by Maosen Cao, Shuaitao Hu, Xin Zhang, Shixiang Zhang, Dragoslav Sumarac and Jiayi Peng
Appl. Sci. 2022, 12(8), 4008; https://doi.org/10.3390/app12084008 - 15 Apr 2022
Cited by 3 | Viewed by 1549
Abstract
Cables have been increasingly utilized in modern long-span or tied-arch bridges as the main bearing structures. Real-time identification of time-varying cable tension is essential for assessing the service performance of bridges. Vibration-based methods have been an increasing research focus in recent decades. However, [...] Read more.
Cables have been increasingly utilized in modern long-span or tied-arch bridges as the main bearing structures. Real-time identification of time-varying cable tension is essential for assessing the service performance of bridges. Vibration-based methods have been an increasing research focus in recent decades. However, a long time interval is needed to estimate structural frequency using vibration-based methods, increasing the calculating time of cable tension. The time-varying cable tension is thus difficult to extract. This study proposes a time-frequency reassignment-based algorithm to reduce the detection time to address this issue. Combined with a time-frequency analysis tool and vibration theory of cables, the algorithm can identify the time-varying frequency and further quickly calculate the time-varying cable tension within 12.8 s. The features of the proposed algorithm are mainly threefold: identifying the time-varying frequencies with high precision; without some prior knowledge of vibration; having no other requirements for sensor modes. Moreover, the experimental validation is conducted using a quasi-static loading in a workshop and a dynamic field test on Sutong Bridge, respectively. The results show that the proposed algorithm can be used to identify time-varying tension and assess the service performance of cables, providing a new path for real-time condition monitoring of bridges in service. Full article
(This article belongs to the Special Issue Structural Health Monitoring of Civil Structures and Infrastructures)
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