Structural Monitoring Using Advanced NDT Techniques: Volume II
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 20 June 2024 | Viewed by 3768
Special Issue Editors
Interests: fiber optic distributed sensors; structural health monitoring; impact damage detection of composites using fiber optic BOCDA sensors; physical sensing with metal-coated fibers; FBG sensors for multiplexed sensing; Fabry–Perot sensors for medical applications
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; structural dynamics and control; smart materials and structures; sensors and actuators; bayesian inference and machine learning; high-speed rail and maglev safety
Special Issues, Collections and Topics in MDPI journals
Interests: nondestructive testing and evaluation skills; field application using structural health monitoring techniques; development of fiber optic sensors and field applications; convergence with internet of things technology
Special Issues, Collections and Topics in MDPI journals
Interests: fiber optic sensors; structural health monitoring; damage assessment with AI (deep learning) and IoT; physical sensing with FBG; composites; NDT/E
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advanced NDT (nondestructive testing) techniques are excellent tools for safely maintaining structures, such as bridges, tunnels and buildings, as well as cars, airplanes, ships, etc. Over the course of several decades, NDT techniques were developed to be more precise and automatic, including data-driven artificial intelligence, replacing conventional techniques based on human experience. Unmanned vehicles, such as drones, are an example of automatic techniques, possessing fast defect imaging performance for various applications. Machine vision is also developing well in regard to the detection of some flaws in its structure and materials. This vision technique has now converged with artificial intelligence and big data, helping to clarify certain object targets quickly and automatically. Advanced NDT techniques can involve many methods, such as holography, shearography, speckle photography, ESPI, etc., with these techniques now being developed for application in the evaluation of materials and structural statuses. Many advanced sensors have also been investigated for implementing real-time structural monitoring, such as wireless sensor networks, fiber optic sensors, IoT sensors, etc. Fiber optic sensors are powerful tools for structural monitoring, and FBG sensors have been successfully deployed in many fields, both carefully prepared for appropriate use in various applications. Distributed fiber optic sensors can sense strains, temperatures, vibrations and acoustics through one sensing optical fiber line. At present, the spatial resolution of these sensors is accomplished at a subcentimeter range, which can be used to detect cracks in materials. This second Special Issue of Applied Science, "The Second Version of Structural Monitoring Using Advanced NDT Techniques", aims to provide recent achievements in structural monitoring and materials characterization using advanced NDT techniques and data-driven AI. In addition, this Special Issue hopes to include some papers presented at the 20th WCNDT (World Conference on Non-Destructive Testing). We welcome your contributions and highly appreciate the work conducted by the authors or reviewers.
Prof. Dr. Il-Bum Kwon
Prof. Dr. Yi-qing Ni
Prof. Dr. Donghoon Kang
Prof. Dr. Dae-Hyun Kim
Guest Editors
Manuscript Submission Information
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Keywords
- AI deep learning of sensing data
- wireless sensor networks
- fiber optic sensors and distributed fiber optic sensors
- vision systems and machine vision
- holography and shearography
- speckle photography and ESPI
- composite materials
- concrete and steel materials
- damage detection
- structural safety management
- materials evaluation
- strain, temperature, tilting and vibration measurement
- acoustic sensing
