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Zhi-Hao Chen and Jyh-Ching Juang
To ensure safety in aircraft flying, we aimed to use deep learning methods of nondestructive examination with multiple defect detection paradigms for X-ray image detection. The use of the fast region-based convolutional neural network (Fast R-CNN)-driven...
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Sergio Augusto Barcellos Lins, Giovanni Ettore Gigante, Roberto Cesareo, Stefano Ridolfi and Antonio Brunetti
Characterization of surfaces in multilayered structures is a requirement in many application areas. Such characterization should be nondestructive, and, in some cases, it must be performed in situ. This is the case of precious Cultural Heritage samples. ...
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Jea Seang Lim, Tae Sung Park, Yu Min Choi and Ik Keun Park
Composite materials have attracted significant attention with regard to the manufacturing of structures that require weight reduction, such as automobiles and aircraft, because they are more resistant to corrosion and fatigue than conventional metal mate...
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Ece Erdogmus, Eric Garcia, Ahmad Shoaib Amiri and Michael Schuller
This article presents the latest improvements in a recently developed nondestructive testing (NDT) approach for early detection of various flaws (corrosion, delamination, and concrete cracking) in reinforced concrete (RC) bridge decks. The proposed metho...
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Pawan Deep, Mathias B. Andersen, Nick Thom and Davide Lo Presti
The jointed rigid pavement is currently evaluated by the Falling weight deflectometer which is rather slow for the testing of the jointed pavements. Continuous nondestructive evaluation of rigid pavements with a rolling wheel deflectometer can be used to...
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