Application of Machine Learning and Artificial Intelligence in NDE and Structural Health Monitoring of Civil Infrastructures
A special issue of Infrastructures (ISSN 2412-3811).
Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 7181
Special Issue Editor
2. NDT Concrete LLC, Deltona, FL, USA
Interests: ground-penetrating radar (GPR); ultrasonic tomography; concrete inspection; concrete imaging; nondestructive testing/evaluation (NDT/NDE); structural health monitoring (SHM)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nondestructive evaluation (NDE) and structural health monitoring (SHM) of civil infrastructures usually deal with an extensive amount of data obtained from the sensors employed/deployed. For example, ground-penetrating radar (GPR) technology utilizes antennas to collect a large number of A-scans for concrete bridge deck or high-definition cameras may be used to measure the physical parameters of structures such as the displacement, strain/stress, rotation, vibration, crack, and spalling. While most of such data have conventionally been analyzed by experts in each technology, many studies are being conducted to automate the data analysis using machine learning/artificial intelligence algorithms. In an effort to assemble those studies, MDPI’s Infrastructures journal has proposed and organized this Special Issue. To be specific, this Special Issue will publish study results and research papers that present innovative uses of machine learning/artificial intelligence for processing NDE/SHM data. Additionally, it also encourages papers that provide comprehensive reviews of the literature on this topic.
Dr. Kien Dinh
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- artificial intelligence
- non-destructive testing
- non-destructive evaluation
- structural health monitoring
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