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Eberechi Ichi, Faezeh Jafari and Sattar Dorafshan
Annotated datasets play a significant role in developing advanced Artificial Intelligence (AI) models that can detect bridge structure defects autonomously. Most defect datasets contain visual images of surface defects; however, subsurface defect data su...
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Dyala Aljagoub, Ri Na, Chongsheng Cheng and Zhigang Shen
Concrete delamination detection using unmanned aerial vehicle (UAV)-mounted infrared cameras has proved effective in recent research. However, most studies used expensive research-grade infrared cameras and proprietary software to acquire images, which i...
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Elena Jasiuniene, Bengisu Yilmaz, Damira Smagulova, Gawher Ahmad Bhat, Vaidotas Cicenas, Egidijus ?ukauskas and Liudas Ma?eika
The aim of this work is to achieve reliable nondestructive evaluation (NDE) of adhesively bonded aerospace components by developing novel multidimensional data fusion techniques, which would combine the information obtained by ultrasonic and X-ray NDE me...
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Yu-Hsi Huang and Chun-Yi Lin
This study provides a non-destructive evaluation to measure orthotropic material constants for additive manufacturing structures. The resonant frequencies obtained from experimental measurements were used to inversely calculate the engineering constants,...
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Xin Qiao, Yoshikazu Kobayashi, Kenichi Oda and Katsuya Nakamura
This study developed a novel acoustic emission (AE) tomography algorithm for non-destructive testing (NDT) based on Lasso regression (LASSO). The conventional AE tomography method takes considerable measurement data to obtain the elastic velocity distrib...
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