Topic Editors

Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628CN Delft, The Netherlands
Section of Railway Engineering, Department of Engineering Structures, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, The Netherlands
Engineering Structures, Delft University of Technology, 2628CN Delft, The Netherlands
Section of Railway Engineering, Department of Engineering Structures, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, The Netherlands

Advances in Monitoring of Transportation Infrastructures

Abstract submission deadline
closed (31 January 2024)
Manuscript submission deadline
closed (31 March 2024)
Viewed by
4423

Topic Information

Dear Colleagues,

In modern days, an efficient road/railway infrastructure operations require regular monitoring and timely maintenance. Inherently, these are multidisciplinary challenges that need to bring different disciplines to join their forces together to come up with innovative solutions. The understanding of the fundamentals of road/railway including infrastructure, materials, dynamics, serviceability, etc. is essential for real-life deployment of new methodologies. Further, in the latest years, these fields have observed innovative solutions by embedding latest technologies available for sensing, IoT, infrastructure asset management, big-data approaches, artificial intelligence, digitalization, etc. As such, key research works are being carried out around the globe aiming to improve the availability and sustainability of transportation infrastructure. The multidisciplinary topic aims to provide a unique platform where the state-of-the-art methodologies, applications and developments in transport infrastructures and construction materials are put together. This multidisciplinary topic also welcomes review papers.

Key topics:

  • New sensors and methodologies for monitoring transportation infrastructure and materials.
  • Structural performance and degradation modelling and monitoring for pavement and railway infrastructures.
  • Analysis of new material degradation, monitoring, and prediction, for durable, resilient, and low-maintenance pavement and railway infrastructures.
  • Recycling and sustainable methodologies for transportation infrastructure materials.  
  • New materials and new elements for environmentally friendly building/construction of road and railway infrastructures.
  • Analysis of case studies of failures/anomalies in transportation infrastructures.
  • Assessment and performance predictions of transportation infrastructures based on physical models, data-based models, and hybrid models.
  • AI-based methodologies for monitoring the transportation infrastructure.
  • Big-data approaches for a green and digital transportation infrastructures.
  • Challenges on digitalization, development of digital twins, and sustainability assessment of infrastructures.

Submissions considering applications in the broad sense of transportation infrastructure are welcome. For example, applications in road related to infrastructures for pedestrians, bicycles, cars, heavy trucks, airplanes, and for railway related to applications for metro, trams, ballasted and slab tracks, high speed lines, maglev, etc., are welcome.

Dr. Kumar Anupam
Dr. Alfredo Núñez Vicencio
Dr. Katerina Varveri
Dr. Zhen Yang
Topic Editors

Keywords

  • transportation infrastructure monitoring
  • AI-based tools in infrastructure monitoring
  • big-data approaches in infrastructure monitoring
  • new pavement/railway material
  • sustainability

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Automation
automation
- - 2020 26.3 Days CHF 1000
Lubricants
lubricants
3.5 4.1 2013 14.8 Days CHF 2600
Materials
materials
3.4 5.2 2008 13.9 Days CHF 2600

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Published Papers (2 papers)

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20 pages, 16081 KiB  
Article
Influence of the Large-Span Pile-Beam-Arch Construction Method on the Surface Deformation of a Metro Station in the Silty Clay–Pebble Composite Stratum
by Tao Li, Yue Li, Tengyu Yang, Rui Hou, Yuan Gao, Bo Liu and Guogang Qiao
Materials 2023, 16(7), 2934; https://doi.org/10.3390/ma16072934 - 06 Apr 2023
Cited by 3 | Viewed by 1175
Abstract
The Pile-beam-arch (PBA) method is a new and effective construction method for the urban metro station. It is the key to ensuring the safe construction of the station to clarify the influence of PBA method construction on surface deformation under unfavorable geological and [...] Read more.
The Pile-beam-arch (PBA) method is a new and effective construction method for the urban metro station. It is the key to ensuring the safe construction of the station to clarify the influence of PBA method construction on surface deformation under unfavorable geological and large span conditions. Based on a station of Beijing subway, this paper studies the surface deformation law of the large-span PBA method in different construction stages under silty clay–pebble composite stratum by means of FLAC 3D numerical analysis and field monitoring of level. Then the influence of the excavation scheme of the pilot tunnel and the construction scheme of the secondary lining of the arch on the surface deformation is simulated and analyzed. The results show that, through numerical simulation, the ratio of pilot tunnel excavation: pile-beam construction: vault initial support construction: vault secondary lining construction is about 5:1.1:3.3:0.6. The settlement deformation mainly occurs in the excavation stage of the pilot tunnel. Through the comparative analysis of the field monitoring results and the numerical simulation results, it can be seen that the two results are highly consistent, which verifies the accuracy of the numerical simulation results. The pilot tunnel excavation scheme of excavating the middle first and then excavating both sides, first through the upper layer and then through the lower layer, and the scheme of one-time construction of the secondary lining of the arch are better. The research results promote the further maturity and perfection of large-span PBA method construction under unfavorable geology and provide reference for similar projects. Full article
(This article belongs to the Topic Advances in Monitoring of Transportation Infrastructures)
(This article belongs to the Section Construction and Building Materials)
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17 pages, 3861 KiB  
Article
Pavement Texture–Friction Relationship Establishment via Image Analysis Methods
by Ivana Pranjić and Aleksandra Deluka-Tibljaš
Materials 2022, 15(3), 846; https://doi.org/10.3390/ma15030846 - 23 Jan 2022
Cited by 10 | Viewed by 2679
Abstract
Pavement surface texture is one of the prevailing factors for friction realization on pavement surfaces. In this paper, an overview of pavement texture properties related to the pavement frictional response is given. Image analysis methods used for pavement texture characterization are thoroughly analyzed [...] Read more.
Pavement surface texture is one of the prevailing factors for friction realization on pavement surfaces. In this paper, an overview of pavement texture properties related to the pavement frictional response is given. Image analysis methods used for pavement texture characterization are thoroughly analyzed together with their potential for the establishment of a pavement texture–friction relationship. Digital pavement surface models derived from photogrammetry or laser scanning methods enable the extraction of texture parameters comparable to the ones acquired by common pavement surface measuring techniques. This paper shows the results of a preliminary small-scale research study of the pavement texture–friction relationship. This research was performed in a laboratory which produced asphalt samples, primarily to analyze the potential of developing a methodology for the digital pavement texture model setup. Furthermore, the relationship between selected 2D texture parameters calculated from the digital texture model and measured friction coefficient expressed as SRT value was analyzed. A significant correlation was established for standard texture indicator mean profile depth (MPD) and SRT values (R = 0.81). Other texture parameters showed moderate correlation with the frictional response of the surface, with absolute values of correlation coefficients varying from 0.7 to 0.75. A further analysis of this relationship will be performed by inclusion of other texture parameters that can be determined from the digital texture model acquired by the established methodology. Full article
(This article belongs to the Topic Advances in Monitoring of Transportation Infrastructures)
(This article belongs to the Section Construction and Building Materials)
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