Advances in Structural Monitoring for Infrastructures in Construction

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

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4030

Special Issue Editors


E-Mail Website
Guest Editor
College of Civil and Transportation Engineering, Hohai University, Nanjing 210024, China
Interests: structural health monitoring; reinforcement and maintenance of infrastructure; FRP and its application in civil engineering; AI and its application in civil engineering
College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
Interests: structural health monitoring; optical fiber sensing; underwater structure inspection
College of Civil Engineering, Nanjing Tech University, Nanjing 211167, China
Interests: smart materials and structures; vibration testing and assessment; structural health monitoring

Special Issue Information

Dear Colleagues,

Structural Monitoring is considered an important method for ensuring the safety and service performance for the structures and infrastructures in civil engineering. Most of the parameters are estimated by the previous experience during the design period, which may be different from the actual parameters, including the values, direction and distribution. Moreover, there will be inevitably some differences between the actual civil structures and the design blueprint, due to the complicated building process. There will be some accidental loads happening during the long service life of the infrastructures. Therefore, it is important to obtain the actual structural parameters to accurately assess the structures using the Structural Monitoring method.

The main aim of this Special Issue is to explore the recent challenges and developments of Structural Monitoring approaches in civil engineering. Topics include but are not limited to:

  • Sensors and sensing technology;
  • Non-destructive testing technology;
  • Structural parameter assessment;
  • Damage identification;
  • Structural performance assessment;
  • Residual life assessment of structure;
  • Monitoring data analysis;
  • Reliability and maintenance engineering;
  • Application of structural monitoring techniques in civil engineering.

Dr. Yongsheng Tang
Dr. Sheng Shen
Dr. Wan Hong
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. 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 monitoring
  • sensors and sensing technology
  • non-destructive testing technology
  • damage identification
  • structural performance assessment
  • data analysis
  • deep learning
  • reliability and maintenance

Published Papers (4 papers)

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Research

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23 pages, 13332 KiB  
Article
Deflection Monitoring Method for Simply Supported Girder Bridges Using Strain Response under Traffic Loads
by Yongsheng Tang, Jigang Cang, Bohan Zheng and Wei Tang
Buildings 2024, 14(1), 70; https://doi.org/10.3390/buildings14010070 - 26 Dec 2023
Cited by 1 | Viewed by 700
Abstract
Deflection measurements are usually used as a key index in civil engineering for performing structural assessments of bridge safety. However, owing to technical or cost issues, it may be difficult to implement long-term monitoring of bridge deflection, especially for short- or medium-span bridges. [...] Read more.
Deflection measurements are usually used as a key index in civil engineering for performing structural assessments of bridge safety. However, owing to technical or cost issues, it may be difficult to implement long-term monitoring of bridge deflection, especially for short- or medium-span bridges. Therefore, this study presents a novel method for measuring the deflection of simply supported girder bridges. In the proposed method, the strain measurement was implemented under traffic loading at only one position, such as middle span, and then the strain distribution along the girder was reconstructed to calculate the girder deflection with basic structural mechanical theory. To implement the method, the theory was constructed based on the displacement reciprocal theorem at first to assess the strain distribution along the girder from the strain measurement at some position during traffic loads passing across the bridge. Second, a strain measurement method, namely long-gauge fibre Bragg grating (FBG) sensing technology, was introduced to take strain measurements for a concrete bridge. Third, various finite element (FE) bridge models were developed to validate the proposed method’s accuracy, the results from which indicated that the method accurately implemented deflection measurement with an approximately 5% calculation error. In addition, the influence of some key parameters, such as vehicle type, vehicle speed, and structural damage, was investigated. The simulation results revealed that damage to the hinge joint in the middle location could significantly influence the proposed method’s accuracy such that the error may exceed 10%. Finally, on-site experiments were conducted on a simply supported girder bridge to further validate the proposed method’s accuracy, and an approximately 8% deflection assessment error was found. Considering the additional advantages of FBG sensing technology, the proposed method can also be effective for long-term deflection measurements of short- or medium-span bridges. Full article
(This article belongs to the Special Issue Advances in Structural Monitoring for Infrastructures in Construction)
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16 pages, 4977 KiB  
Article
Bridge Damage Detection Using Complexity Pursuit and Extreme Value Theory
by Xun Liu, Weidong Zhuo and Jie Yang
Buildings 2023, 13(9), 2183; https://doi.org/10.3390/buildings13092183 - 28 Aug 2023
Viewed by 669
Abstract
Bridge structures are susceptible to environmental and operational variations (EOVs). Improperly handling these influences may result in incorrect assessments of the bridge’s health condition. Blind source separation (BSS) techniques show promising potential in suppressing the effects of EOVs. However, major challenges such as [...] Read more.
Bridge structures are susceptible to environmental and operational variations (EOVs). Improperly handling these influences may result in incorrect assessments of the bridge’s health condition. Blind source separation (BSS) techniques show promising potential in suppressing the effects of EOVs. However, major challenges such as high data variability, difficulty in parameter selection, lack of reliable decision thresholds, and practical engineering validation have seriously hindered the application of such techniques in bridge health monitoring. Consequently, this paper proposes a new method for bridge damage detection that combines complexity pursuit (CP) and extreme value theory (EVT). This method first uses the exponentially weighted moving average (EWMA) technique to preprocess the measured modal frequencies. The CP algorithm and information entropy are then used to extract structural damage sources from the preprocessed data automatically. Based on the extracted structural damage sources, the damage index (DI) is defined using k-means clustering and Euclidean distance. Following that, the generalized extreme value (GEV) distribution is used to fit the DI data under the normal condition of the bridge, and the damage detection threshold is given according to the fitted distribution. Benchmark data of the KW51 railway bridge are considered to verify the effectiveness of the proposed method along with several comparative studies. The results show that even under strong EOV influences, the proposed method still maintains good damage detection accuracy and robustness, and its effectiveness is superior to some well-known damage detection methods. Full article
(This article belongs to the Special Issue Advances in Structural Monitoring for Infrastructures in Construction)
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14 pages, 7471 KiB  
Article
Influences of Deep Foundation Pit Excavation on the Stability of Adjacent Ancient Buildings
by Dandan Zhang
Buildings 2023, 13(8), 2004; https://doi.org/10.3390/buildings13082004 - 06 Aug 2023
Cited by 1 | Viewed by 887
Abstract
The excavation of deep foundation pits has a significant impact on the stability of adjacent buildings. On the basis of a deep foundation pit project in Xi’an, China, the deformation of a diaphragm wall and the settlement and deformation of an adjacent ancient [...] Read more.
The excavation of deep foundation pits has a significant impact on the stability of adjacent buildings. On the basis of a deep foundation pit project in Xi’an, China, the deformation of a diaphragm wall and the settlement and deformation of an adjacent ancient building with and without MJS (Metro Jet System) pile reinforcement were studied through onsite monitoring and numerical simulation. The influence of the building’s settlement difference on the shear strain of the building’s walls was analyzed, and then the effect of MJS pile reinforcement was verified. The research results show that (1) the settlement difference serves as the primary cause of the shear strain of the building, and the shear strain rises with increasing settlement difference; (2) the maximum shear strain of the building occurs on both sides of the building’s doors and windows and on the left and right corners of the building’s walls; (3) the shear strain and settlement of the building without MJS pile reinforcement are significantly greater than those with MJS pile reinforcement; and (4) MJS pile support exhibits a better reinforcement effect within one times the excavation depth of the foundation pit. These research results have a certain guiding significance for enhancing the stability of foundation pits and ensuring the safety of adjacent buildings. Full article
(This article belongs to the Special Issue Advances in Structural Monitoring for Infrastructures in Construction)
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Review

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36 pages, 7969 KiB  
Review
Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects
by Ying Wang, Yue Chen, Yuhan Yao and Jinping Ou
Buildings 2023, 13(12), 3129; https://doi.org/10.3390/buildings13123129 - 17 Dec 2023
Cited by 2 | Viewed by 1349
Abstract
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil infrastructure, but the optimal design of an SHM sensing system, i.e., optimal sensor placement (OSP), remains a complex challenge. Based on the existing literature, this paper presents a comprehensive review of [...] Read more.
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil infrastructure, but the optimal design of an SHM sensing system, i.e., optimal sensor placement (OSP), remains a complex challenge. Based on the existing literature, this paper presents a comprehensive review of OSP strategies for SHM. It covers the key steps in OSP, from evaluation criteria to efficient optimization algorithms. The evaluation criteria are classified into six groups, while the optimization algorithms are roughly categorized into three classes. The advantages and disadvantages of each group of methods have been summarized, aiming to benefit the OSP strategy selection in future projects. Then, the real-world implementation of OSP on bridges, high-rise buildings, and other engineering structures, is presented. Based on the current progress, the challenges of OSP are recognized; its future development directions are recommended. This study equips researchers/practitioners with an integrated perspective on state-of-the-art OSP. By highlighting key developments, persistent challenges, and prospects, it is expected to bridge the gap between theory and practice. Full article
(This article belongs to the Special Issue Advances in Structural Monitoring for Infrastructures in Construction)
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