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Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance...
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Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance Evaluation

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: closed (10 January 2024) | Viewed by 4354

Special Issue Editor

Dr. Qi-Ang Wang

E-Mail Website
Guest Editor
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: bridge and tunnel engineering; municipal engineering; structural engineering; building and civil engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Structural health monitoring (SHM) refers to the continuous monitoring of a structure based on different kinds of sensors to generate a structural response for evaluating its current structural performance and health status. In the framework of structural health monitoring, intelligent, efficient and high-precision sensors need to be developed to obtain more exact and robust monitoring data. Generally, a mass of time series data on the structural response is observed via a structural health monitoring system. Based on these monitoring data, it is necessary to develop corresponding deep learning algorithms or intelligent machine learning algorithms to carry out the structural performance and safety evaluations, which can improve the management and maintenance level. If damage is detected, the corresponding structural reinforcement measures should then be taken to avoid further catastrophic damage.

The goal of this Special Issue is to provide a collection of articles that present a wide range of advances and innovative applications of SHM, reinforcements and structural safety evaluations. The articles may address, but are not limited to, the following subjects:

  • Structural health monitoring;
  • Structural safety evaluation;
  • Sensors;
  • Structural reinforcement and retrofit;
  • Structural management;
  • Sensor optimization arrangement;
  • Nondestructive testing;
  • Machine learning and deep learning algorithms for data mining;
  • Other relevant topics.

Dr. Qi-Ang 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. Buildings is an international peer-reviewed open access monthly 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 2600 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 safety evaluation
  • sensors
  • structural reinforcement and retrofit
  • structural management
  • sensor optimization arrangement
  • nondestructive testing
  • maching learning algorithm for data mining
  • deep learning for data mining
  • other related aspects

Published Papers (5 papers)

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Research

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19 pages, 7777 KiB  
Article
Research on Bridge Integrity Assessment and Early Warning Monitoring Methods Based on Bearing Reaction Force
by Shu Li, Luyi Gan, Ruinan Zhao, Shenao Wang and Yu Zhou
Buildings 2024, 14(3), 763; https://doi.org/10.3390/buildings14030763 - 12 Mar 2024
Viewed by 512
Abstract
Traditional bridge monitoring and damage identification techniques typically rely on full-bridge coverage of sensors, such as displacement or strain sensors. However, this approach proves economically unfeasible for the vast numbers of small- and medium-span continuous beam bridges. In response to the need for [...] Read more.
Traditional bridge monitoring and damage identification techniques typically rely on full-bridge coverage of sensors, such as displacement or strain sensors. However, this approach proves economically unfeasible for the vast numbers of small- and medium-span continuous beam bridges. In response to the need for rapid damage identification and integrity assessment of continuous beam bridges, a novel bridge safety monitoring method relying solely on bearing reaction forces is proposed. Firstly, the analytical expressions for the bearing reaction influence lines of a three-span continuous beam bridge under damage conditions were derived. Secondly, a rapid structural damage localization method based on the bearing reaction influence lines was proposed. Finally, feasibility and applicability were confirmed through numerical simulations and experimental validation. Additionally, the discussion includes the implementation of the warning classification and threshold setting using data from bearing force monitoring. The research demonstrates that utilizing a limited amount of bearing reaction force information can not only identify damage areas in a “non-full-coverage” manner, but also facilitates early warning and the integrity assessment of bridges. In the future, there is potential for large-scale application in medium- and small-span continuous beam bridges. Full article
(This article belongs to the Special Issue Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance Evaluation)
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16 pages, 4810 KiB  
Article
Cable Force Calculation of Cable Hoisting of CFST Arch Bridge Research
by Yi Jia, Chaokuan Wei, Ziqiu Huang, Qi Li, Ping Liao and Wencong Lin
Buildings 2023, 13(9), 2370; https://doi.org/10.3390/buildings13092370 - 18 Sep 2023
Viewed by 740
Abstract
To effectively control the stress state and spatial alignment of arch ribs in the cable hoisting construction of a long-span, concrete-filled, steel tube arch bridge and ensure the safety of the structure, it is necessary to calculate and determine the appropriate cable force. [...] Read more.
To effectively control the stress state and spatial alignment of arch ribs in the cable hoisting construction of a long-span, concrete-filled, steel tube arch bridge and ensure the safety of the structure, it is necessary to calculate and determine the appropriate cable force. Based on the actual project of a double-span, concrete-filled, steel tubular arch bridge, the construction stage of the left span of the bridge from the beginning of construction to the closure is taken as an example. The linear control method of “quiet do not move” is adopted. Based on the principle that the vertical displacement of the front end of the installed segment caused by the self-weight of the new hoisting segment is equal to the vertical displacement of the front end of the previous segment caused by the tension of the new hoisting segment, the tension cable force is calculated by forward iteration. Finally, based on the theory of the stress-free state method, the ideal linear design of the structure was achieved. The results show that after the closure of the bridge, the error range of the cable tension force is −13.33–15.40% on the left bank and −8.37–11.00% on the right bank. The elevation error of the arch rib is −0.003–0.043 m on the left bank and −0.007–0.032 m on the right bank. The overall stress error of the bridge arch is ±7.0 MPa. The error between the theoretical value and the actual value is within the scope of the specification requirements, which meets the specification requirements. After the closure, the arch shape of the bridge meets the smooth requirements. Full article
(This article belongs to the Special Issue Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance Evaluation)
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15 pages, 3069 KiB  
Article
Research on Intelligent Monitoring of Fire Safety and Fire Rescue Plan for Tunnel Operation under Quasi-Unattended Background
by Hao Li, Zhitao Chen, Yanming Lu, Peng Li, Qi-Ang Wang, Zichen Liu and Shu Li
Buildings 2023, 13(8), 2110; https://doi.org/10.3390/buildings13082110 - 21 Aug 2023
Viewed by 1090
Abstract
Tunnel structures account for la large proportion of the structures in mountain highway transportation systems. Most tunnels are located in remote areas in which the geological conditions are complex and harsh and in which the layout of the management facilities along the way [...] Read more.
Tunnel structures account for la large proportion of the structures in mountain highway transportation systems. Most tunnels are located in remote areas in which the geological conditions are complex and harsh and in which the layout of the management facilities along the way is complex. Thus, the management and maintenance costs of various facilities are expensive, the cost of fire safety operations and management is high, and disaster prevention and rescue have a difficult time meeting the objective requirements. Therefore, it is urgent to carry out research on quasi-unmanned operations and intelligent remote monitoring. This study firstly proposes a fire safety intelligent monitoring framework for quasi-unattended tunnels. By making full use of various intelligent sensor monitoring data in the tunnel, the tunnel operation status can be grasped in real time. Then, a fire safety evaluation model can be established through the analytic hierarchy process (AHP), and, based on the monitoring data, the AHP model parameters can be evaluated to realize the real-time evaluation and management of tunnel fire safety. Finally, on the basis of the fire safety intelligent monitoring system and the fire safety evaluation system, an adaptive fire rescue plan formulation scheme is proposed for the quasi-unattended tunnels so as to provide guaranteed support for the rapid automatic response of tunnel fire protection and to provide technical data support for the design and realization of intelligent and efficient tunnel management Full article
(This article belongs to the Special Issue Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance Evaluation)
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14 pages, 6167 KiB  
Article
The Influence of Aeroelastic Effects on Wind Load and Wind-Induced Response of a Super-Tall Building: An Experimental Study
by Ze Xu and Jiangjiang Yin
Buildings 2023, 13(7), 1871; https://doi.org/10.3390/buildings13071871 - 24 Jul 2023
Cited by 2 | Viewed by 1081
Abstract
To investigate the wind-induced response and equivalent wind load of a super-tall building, an aeroelastic model of the building was designed to measure aerodynamic interference in wind tunnel tests. Experiments on pressure and vibration measurements were conducted in both uniform and turbulent wind [...] Read more.
To investigate the wind-induced response and equivalent wind load of a super-tall building, an aeroelastic model of the building was designed to measure aerodynamic interference in wind tunnel tests. Experiments on pressure and vibration measurements were conducted in both uniform and turbulent wind fields, and the displacement response and surface wind pressure at different locations of the model were recorded. The displacement time-history response spectrum and aerodynamic spectrum in both fields were compared and analyzed. The research showed that the mean displacement responses of the model in the across-wind and along-wind directions gradually increased with velocity under different wind attack angles. The mean displacement response of torsion moment in a uniform wind field changed very little, and the mean and fluctuating wind pressures in each layer were significantly stratified, making it is easy to generate a coupled vortex-induced resonance. On the other hand, the mean displacement response of torsion moment in a turbulent field increased with wind velocity. Strong turbulence made the fluctuating wind pressure at the top and bottom of the model slightly more significant than in a uniform field. The resistance of super-tall buildings came from turbulence excitation in the along-wind direction and the self-excited resistance generated by the across-wind direction. The test methods and main research conclusions may provide a reference for glass curtain walls and the structural wind-resistant design of super-tall buildings. Full article
(This article belongs to the Special Issue Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance Evaluation)
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Review

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18 pages, 12486 KiB  
Review
Concise Historic Overview of Rail Corrugation Studies: From Formation Mechanisms to Detection Methods
by Qi-Ang Wang, Xin-Yu Huang, Jun-Fang Wang, Yi-Qing Ni, Sheng-Cai Ran, Jian-Peng Li and Jia Zhang
Buildings 2024, 14(4), 968; https://doi.org/10.3390/buildings14040968 - 01 Apr 2024
Viewed by 443
Abstract
Rail corrugation is a serious problem in a railway transportation system, aggravating the operational risk and shortening the lifetime of train–track system. In order to ensure the safety and reliability of the railway system, the detection of rail corrugation is very important. Thus, [...] Read more.
Rail corrugation is a serious problem in a railway transportation system, aggravating the operational risk and shortening the lifetime of train–track system. In order to ensure the safety and reliability of the railway system, the detection of rail corrugation is very important. Thus, this study systematically summarizes the recent research progress of rail corrugation. First, this study introduces the definition of rail corrugation and the classification criteria. Then, the formation mechanism of rail corrugation is analyzed in detail, and its adverse consequences are investigated. Further, this study summarizes several main detection methods, which are corrugation-detection methods based on acceleration measurements, wavelet transform methods for corrugation evaluation, computer-vision-based methods for corrugation automatic detection, digital filtering algorithms for rail corrugation detection, and others. In this study, the formation mechanism and detection methods of rail corrugation are systematically described, and various corrugation-detection methods are also introduced in detail. This study not only provides a scientific basis for railway maintenance, but also lays a solid foundation for future experimental design and data analysis. This study can also guide engineering practice to improve the reliability and safety of railway systems. It also provides useful experience for future railway-engineering design and planning, as well as safer and more reliable operation. In general, this study can provide technical support for the detection of rail corrugation to ensure the safety of the rail–track system. Full article
(This article belongs to the Special Issue Development of Structural Health Monitoring, Structural Reinforcement and Structural Performance Evaluation)
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