Sensing advancement and health monitoring of transport structures

Lists

Benedetto, Andrea, Al-Qadi, Imad L., Alani, Amir, Loizos, Andreas and Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 (2016) Sensing advancement and health monitoring of transport structures. Sensors, 21 (22). p. 7621.

Preview

PDF
sensors-21-07621-v2.pdf - Published Version
Available under License Creative Commons Attribution.
Download (174kB) | Preview

Official URL: https://doi.org/10.3390/s21227621

Abstract

This Special Issue of Sensors aims to report significant recent advances in sensing systems for assessment and health monitoring of transport infrastructure and construction materials. The thirteen accepted papers cover theoretical, numerical and experimental developments across the whole range of transportation modes (highways, railways and airfields), including research findings in sensing techniques for construction materials.

Item Type:	Article
Identifier:	10.3390/s21227621
Additional Information:	First published by MDPI in Sensors journal. Citation: Benedetto, A., Al-Qadi, I.L., Alani, A.M., Loizos, A. and Tosti, F. 2021. Sensing Advancement and Health Monitoring of Transport Structures. Sensors 21(22), p. 7621. Available at: http://dx.doi.org/10.3390/s21227621.
Keywords:	Transport Infrastructure Monitoring; Sensing Advancement; Non-Destructive Testing; Civil Engineering
Subjects:	Construction and engineering > Aerospace engineering Construction and engineering > Civil and environmental engineering Construction and engineering > Digital signal processing Construction and engineering > Electrical and electronic engineering Construction and engineering > Mechanical, aero and production engineering Construction and engineering > Built environment Construction and engineering > Civil and structural engineering Construction and engineering
Related URLs:	Publisher
Depositing User:	Fabio Tosti
Date Deposited:	19 Nov 2021 11:32
Last Modified:	04 Nov 2024 11:39
URI:	https://repository.uwl.ac.uk/id/eprint/8441

Downloads

Downloads per month over past year

Actions (login required)

View Item

References

1. Soga, K.; Schooling, J. 2016. Infrastructure Sensing. Interface Focus 2016, 6: 20160023. http://dx.doi.org/10.1098/rsfs.2016.0023
2. Tosti, F.; Benedetto, A.; Ciampoli, L.B.; D’Amico, F.; Plati, C.; Loizos, A. Guest Editorial: Data Fusion, Integration and Ad-vances of Non-Destructive Testing Methods in Civil and Environmental Engineering. NDT E Int 2020, 115, 102286. https://doi.org/10.1016/j.ndteint.2020.102286
3. Shokravi, H.; Shokravi, H.; Bakhary, N.; Heidarrezaei, M.; Rahimian Koloor, S.S.; Petrů, M. Vehicle-Assisted Techniques for Health Monitoring of Bridges. Sensors 2020, 20, 3460. https://doi.org/10.3390/s20123460
4. Liu, Y.; Ye, Y.; Wang, Q.; Wang, W. Experimental Research on Shear Failure Monitoring of Composite Rocks Using Piezo-electric Active Sensing Approach. Sensors 2020, 20, 1376. https://doi.org/10.3390/s20051376
5. Niu, Y.; Zhang, S.; Tian, G.; Zhu, H.; Zhou, W. Estimation for Runway Friction Coefficient Based on Multi-Sensor Infor-mation Fusion and Model Correlation. Sensors 2020, 20, 3886. https://doi.org/10.3390/s20143886
6. Zhu, B.; Liu, H.; Li, W.; Wu, C.; Chai, C. Fracture Behavior of Permeable Asphalt Mixtures with Steel Slag under Low Temperature Based on Acoustic Emission Technique. Sensors 2020, 20, 5090. https://doi.org/10.3390/s20185090
7. Kampczyk, A. An Innovative Approach to Surveying the Geometry of Visibility Triangles at Railway Level Crossings. Sensors 2020, 20, 6623. https://doi.org/10.3390/s20226623
8. Wu, Y.; Deng, L.; He, W. BwimNet: A Novel Method for Identifying Moving Vehicles Utilizing a Modified Encoder-Decoder Architecture. Sensors 2020, 20, 7170. https://doi.org/10.3390/s20247170
9. Lee, T.; Chun, C.; Ryu, S.-K. Detection of Road-Surface Anomalies Using a Smartphone Camera and Accelerometer. Sensors 2021, 21, 561. https://doi.org/10.3390/s21020561
10. Miwa, T. Non-Destructive and Quantitative Evaluation of Rebar Corrosion by a Vibro-Doppler Radar Meth-od. Sensors 2021, 21, 2546. https://doi.org/10.3390/s21072546
11. Cao, Q.; Al-Qadi, I.L. Development of a Numerical Model to Predict the Dielectric Properties of Heterogeneous Asphalt Concrete. Sensors 2021, 21, 2643. https://doi.org/10.3390/s21082643
12. Gkyrtis, K.; Loizos, A.; Plati, C. Integrating Pavement Sensing Data for Pavement Condition Evaluation. Sensors 2021, 21, 3104. https://doi.org/10.3390/s21093104
13. Fiorentini, N.; Maboudi, M.; Leandri, P.; Losa, M. Can Machine Learning and PS-InSAR Reliably Stand in for Road Pro-filometric Surveys? Sensors 2021, 21, 3377. https://doi.org/10.3390/s21103377
14. Capozzoli, L.; Fornasari, G.; Giampaolo, V.; De Martino, G.; Rizzo, E. Multi-Sensors Geophysical Monitoring for Reinforced Concrete Engineering Structures: A Laboratory Test. Sensors 2021, 21, 5565. https://doi.org/10.3390/s21165565
15. Gagliardi, V.; Bianchini Ciampoli, L.; Trevisani, S.; D’Amico, F.; Alani, A.M.; Benedetto, A.; Tosti, F. Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis. Sensors 2021, 21, 5769. https://doi.org/10.3390/s21175769

Tools

CORE (COnnecting REpositories)

The University of West London

Sensing advancement and health monitoring of transport structures

Abstract

Downloads

Actions (login required)

Menu