Currently, there are numerous drawbacks associated with infrastructure health monitoring and management, such as inefficiency, subpar real-time functionality, demanding data requirements, and high cost. Digital twin (DT), a hybrid of a computational simulation and an actual physical system, has been proposed to overcome these challenges and become increasingly popular for modeling civil infrastructure systems. This…
Journal of Infrastructure Intelligence and Resilience Template
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About the Journal of Infrastructure Intelligence and Resilience format
Journal of Infrastructure Intelligence and Resilience is a peer-reviewed journal published by Elsevier, covering Infrastructure Maintenance and Monitoring, Structural Health Monitoring Techniques, 3D Surveying and Cultural Heritage.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Journal of Infrastructure Intelligence and Resilience 12 (2023) 45–58.
Formats any DOI in Journal of Infrastructure Intelligence and Resilience style. No sign-up. |
| Publishes research in | Infrastructure Maintenance and Monitoring Structural Health Monitoring Techniques 3D Surveying and Cultural Heritage Non-Destructive Testing Techniques Ultrasonics and Acoustic Wave Propagation |
| ISSN | 2772-9915 |
| Citation impact (2-yr) | 3.38 |
| h-index | 18 |
| i10-index | 27 |
| Total citations | 972 |
| Open access | Yes |
| Top institutions publishing here | Hong Kong Polytechnic University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Infrastructure Intelligence and Resilience per year
Citation impact of Journal of Infrastructure Intelligence and Resilience by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Infrastructure Intelligence and Resilience
The demands for infrastructure inspection using autonomous robots have noticeably increased, and the market is expected to grow accordingly. One of the advantages is that autonomous robots can navigate the environment and interact with humans because an inspection of a high-rise building, for instance, is considered an extremely challenging task for a human. Inspection robot…
The construction sector is now experiencing a significant transformation, primarily motivated by the need to enhance operational efficiency and promote sustainable practices. The emergence of blockchain technology has been seen as a disruptive factor that has the potential to fundamentally transform the field of supply chain management within the construction industry. Nevertheless, the extent to…
Wireless Smart Sensor Networks (WSSN) have seen significant advancements in recent years. They act as a core part of structural health monitoring (SHM) systems by facilitating efficient measurement, assessment, and hence maintenance of civil infrastructure. This paper presents the latest technology developments of WSSN in the last ten years, including ones for a single sensor…
Rapid structural inspections and evaluations are critical after earthquakes. Computer vision-based methods have attracted the interest of researchers for their potential to be rapid, safe, and objective. To provide an end-to-end solution for computer vision-based post-earthquake inspection and evaluation of a specific as-built structure, the concepts of physics-based graphics model (PBGM) and digital twin (DT)…