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Infrastructures
Special Issues
Structural Health Monitoring, Non-destructive Evaluation and Remedial Measures for Civil...
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Structural Health Monitoring, Non-destructive Evaluation and Remedial Measures for Civil Infrastructures

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1418

Special Issue Editors

Dr. Armin Mehrabi

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, College of Engineering and Computing, Florida International University, 10555 West Flagler Street, EC 3602, Miami, FL 33174, USA
Interests: non-destructive evaluation of bridges; structural health moni-toring; vibration analysis and mitigation; structural perfor-mance evaluation; field and la-boratory testing; bridge rehabili-tation and corrosion mitigation; analysis and modeling of mason-ry and R/C frames; fiber re-inforced polymer applications
Special Issues, Collections and Topics in MDPI journals
Dr. Seyed Saman Khedmatgozar Dolati

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, College of Engineering and Computing, Florida International University, 10555 West Flagler Street, EC 3660, Miami, FL 33174, USA
Interests: innovation in design, construction, and inspection of bridges; bridge design an analysis; non-destructive evaluation of bridges; structural health monitoring; structural performance evaluation; field and laboratory testing; analysis and modeling of masonry and R/C frames; fiber reinforced polymer applications; structural connections; advanced engineering materials; seismic design and rehabilitation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As civil infrastructure continues to age, the focus is gradually shifting from constructing new systems to maintaining and preserving existing ones. It is crucial to develop effective means and methods for health monitoring and performance evaluation to assess the safety of these structures and to perform preventive maintenance before damage necessitates drastic interventions. Additionally, remedial measures such as new methods and materials for the repair and retrofit of the existing structures and for the design and construction of new infrastructure systems need to be investigated to improve their durability and performance. This is even more important for the resilience of communities that are prone to natural hazards and require better performance and service life.

This Special Issue will compile articles covering a wide range of topics related to both existing and emerging non-destructive evaluation (NDE) methods, structural health monitoring (SHM), and damage detection techniques applicable to civil infrastructure. Contributions are encouraged on methods such as hands-on non-destructive testing (NDT), non-contact or vision-based sensors and instrumentation, load testing, vibration analysis, and the application of novel sensors and technologies. Additionally, this Special Issue will include discussions on condition assessments, performance evaluation methods, and maintenance strategies that utilize NDE and SHM results to devise preventive and preservation tactics. Furthermore, articles on remedial measures for civil infrastructure—including innovative methods, materials, and technologies for repair and retrofit of the existing structures as well as for new construction—addressing existing limitations and enhancing service life are also welcome.

Recent years have seen significant advancements in structural health monitoring and condition assessment, driven by the introduction of innovative sensors, data communication technologies, non-destructive evaluation techniques, and new materials. Materials such as fiber-reinforced polymers (FRPs), ultra-high-performance concrete (UHPC), corrosion-resistant reinforcements, high-performance steel, composites, and improved coatings have emerged, offering increased strength and longevity for civil structures. Therefore, this Special Issue specifically solicits innovative approaches to health monitoring, non-destructive evaluation, and condition assessment, alongside new methods and materials for the maintenance and rehabilitation of existing structures and constructing new ones.

Dr. Armin Mehrabi
Dr. Seyed Saman Khedmatgozar Dolati
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. Infrastructures 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 1800 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 elements
  • non-destructive testing
  • condition assessment
  • performance evaluation
  • inspection
  • maintenance

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Related Special Issue

Published Papers (2 papers)

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Research

26 pages, 19954 KiB  
Article
Guidelines for Nonlinear Finite Element Analysis of Reinforced Concrete Columns with Various Types of Degradation Subjected to Seismic Loading
by Seyed Sasan Khedmatgozar Dolati, Adolfo Matamoros and Wassim Ghannoum
Infrastructures 2024, 9(12), 227; https://doi.org/10.3390/infrastructures9120227 - 10 Dec 2024
Viewed by 745
Abstract
Concrete columns are considered critical elements with respect to the stability of buildings during earthquakes. To improve the accuracy of column damage and collapse risk estimates using numerical simulations, it is important to develop a methodology to quantify the effect of displacement history [...] Read more.
Concrete columns are considered critical elements with respect to the stability of buildings during earthquakes. To improve the accuracy of column damage and collapse risk estimates using numerical simulations, it is important to develop a methodology to quantify the effect of displacement history on column force–deformation modeling parameters. Addressing this knowledge gap systematically and comprehensively through experimentation is difficult due to the prohibitive cost. The primary objective of this study was to develop guidelines to simulate the lateral cyclic behavior and axial collapse of concrete columns with different modes of failure using continuum finite element (FE) models, such that wider parametric studies can be conducted numerically to improve the accuracy of assessment methodologies for critical columns. This study expands on existing FEM research by addressing the complex behavior of columns that experience multiple failure modes, including axial collapse following flexure–shear, shear, and flexure degradation, a topic which has been underexplored in previous works. Nonlinear FE models were constructed and calibrated to experimental tests for 21 columns that sustained flexure, flexure–shear, and shear failures, followed by axial failure, when subjected to cyclic and monotonic lateral displacement protocols. The selected columns represented a range of axial loads, shear stresses, transverse reinforcement ratios, longitudinal reinforcement ratios, and shear span-to-depth ratios. Recommendations on optimal material model parameters obtained from a parametric study are presented. Metrics used for optimization include crack widths, damage in concrete and reinforcement, drift at initiation of axial and lateral strength degradation, and peak lateral strength. The capacities of shear–critical columns calculated with the optimized numerical models are compared with experimental results and standard equations from ASCE 41-17 and ACI 318-19. The optimized finite element models were found to reliably predict peak strength and deformation at the onset of both lateral and axial strength failure, independent of the mode of lateral strength degradation. Also, current standard shear capacity provisions were found to be conservative in most cases, while the FE models estimated shear strength with greater accuracy. Full article
(This article belongs to the Special Issue Structural Health Monitoring, Non-destructive Evaluation and Remedial Measures for Civil Infrastructures)
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31 pages, 3895 KiB  
Article
Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling
by Fardin Bahreini and Amin Hammad
Infrastructures 2024, 9(12), 220; https://doi.org/10.3390/infrastructures9120220 - 5 Dec 2024
Viewed by 445
Abstract
Facility maintenance requires thorough inspections throughout a facility’s lifecycle to ensure structural integrity and longevity. A significant challenge lies in managing the semantic relationships between various inspection data across different lifecycle phases and effectively representing inspection results. While numerous studies have focused on [...] Read more.
Facility maintenance requires thorough inspections throughout a facility’s lifecycle to ensure structural integrity and longevity. A significant challenge lies in managing the semantic relationships between various inspection data across different lifecycle phases and effectively representing inspection results. While numerous studies have focused on identifying, analyzing, repairing, and preventing defects, organizing and integrating this information systematically for future use remains unaddressed. This paper introduces the Ontology for Concrete Surface Defects (OCSD), a unified knowledge model that enables stakeholders to access information systematically. OCSD aims to enhance future asset management systems by providing comprehensive knowledge about concrete surface defects, encompassing inspection, diagnosis, 3R (Repair, Rehabilitation, and Replacement), and defect concepts. Although the integration with Building Information Modeling (BIM) standards like the Industry Foundation Classes (IFC) is not undertaken in this study, OCSD provides a foundational framework that can facilitate such mappings in subsequent studies or applications. The methodology includes reviewing existing literature to define relevant concepts, outlining steps for developing OCSD, creating its basic components, and evaluating its effectiveness. The semantic representation of OCSD was assessed through a survey, confirming its ability to clarify concepts and relationships in this field. Full article
(This article belongs to the Special Issue Structural Health Monitoring, Non-destructive Evaluation and Remedial Measures for Civil Infrastructures)
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