Toward Green and Intelligent Transportation Infrastructure: Road Non-destructive Testing and Structural Health Monitoring Technologies

Dear Colleagues,

The detection and evaluation of transportation infrastructure are critical to system safety and asset management. However, traditional destructive testing and manual evaluation methods are expensive, ineffective, and time-consuming. Recently, transportation infrastructures have been extensively tested using non-destructive (NDT) and structural health monitoring (SHM) technologies based on green and intelligent needs. These technologies include remote sensing, unmanned aerial vehicles (UAVs), ground-penetrating radar (GPR), falling weight deflectometers (FWD), seismic wave, fibre Bragg grating (FBG) sensors, etc. They have greatly improved the efficiency of detection and evaluation of transportation infrastructure, and at the same time, large quantities of detection data are in urgent need of automated processing.

Recent technological breakthroughs in artificial intelligence, machine learning, BIM, etc., have provided new ideas for the processing of big data for transportation infrastructure detection. Therefore, the aim of this Special Issue is to collect recent research advances and progress in NDT and SHM in the fields of transportation infrastructure. Additionally, papers focusing on maintenance management systems, life-cycle assessment and asset assessment of transportation infrastructures are also welcome. Topics of interest include, but are not limited to:

1. Innovative NDT of transportation infrastructures;
2. Recent developments in existing NDT technologies, including GPR, FWD, etc.;
3. Remote sensing techniques for damage identification;
4. The modeling of infrastructure performance based on NDT or multi-source data;
5. Green and intelligent sensors and networks for road structural monitoring;
6. Damage evaluation using artificial intelligence and deep learning;
7. Pavement dynamic monitoring using accelerated loading testing;
8. Unmanned aerial vehicles for road extraction and 3D modeling;
9. Life cycle assessments on transportation infrastructures based on NDT tests.

Prof. Dr. Xingyu Gu
Dr. Zhen Liu
Guest Editors

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