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Qinge Wu, Zhichao Song, Hu Chen, Yingbo Lu and Lintao Zhou
Crack identification plays a vital role in preventive maintenance strategies during highway pavement maintenance. Therefore, accurate identification of cracks in highway pavement images is the key to highway maintenance work. In this paper, an improved U...
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Hui Luo, Jiamin Li, Lianming Cai and Mingquan Wu
Automatic pavement crack detection is crucial for reducing road maintenance costs and ensuring transportation safety. Although convolutional neural networks (CNNs) have been widely used in automatic pavement crack detection, they cannot adequately model ...
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Alessandro Di Benedetto, Margherita Fiani and Lucas Matias Gujski
Many studies on the semantic segmentation of cracks using the machine learning (ML) technique can be found in the relevant literature. To date, the results obtained are quite good, but often the accuracy of the trained model and the results obtained are ...
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Xiaoqing Lu and Guanxi Yan
Most semi-circular bend (SCB) tests on concrete have been conducted with a pre-crack with a straight-through tip, thereby undermining the determination of the tensile fracture toughness (KIc). Therefore, the present study involved mixed-mode (tensile?she...
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Wafae Hammouch, Chaymae Chouiekh, Ghizlane Khaissidi and Mostafa Mrabti
Crack is a condition indicator of the pavement?s structure. Generally, crack detection is an essential task for effective diagnosis of the road network. Moreover, evaluation of road quality is necessary to ensure traffic security. Since 2011, a periodic ...
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Li Li, Baihao Fang and Jie Zhu
One of the most critical tasks for pavement maintenance and road safety is the rapid and correct identification and classification of asphalt pavement damages. Nowadays, deep learning networks have become the popular method for detecting pavement cracks,...
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Nan Yang, Yongshang Li and Ronggui Ma
Thanks to the development of deep learning, the use of data-driven methods to detect pavement distresses has become an active research field. This research makes four contributions to address the problem of efficiently detecting cracks and sealed cracks ...
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Rui Wang, Hongjuan Wu, Mohan Zhao, Yu Liu and Chengqin Chen
Old cement pavement directly overlaid with an asphalt layer produces many reflection cracks. Using microcrack homogenization technology to treat old cement pavement can effectively reduce the occurrence of reflection cracks. Micro-crack homogenization is...
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Peigen Li, Haiting Xia, Bin Zhou, Feng Yan and Rongxin Guo
In recent years, deep learning-based detection methods have been applied to pavement crack detection. In practical applications, surface cracks are divided into inner and edge regions for pavements with rough surfaces and complex environments. This creat...
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Jifeng Yuan, Jin Wu, Tian Su and Dadi Lin
Airport runway pavements often undergo the direct impact of aircraft landings. For the purposes of designing the structure, it is of great importance to know about the dynamic response of the pavement and its behavior under impact loading. However, the d...
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