Results 261 to 270 of about 4,563 (291)

Solution for Distressed Pavements and Crack Reflection

Transportation Research Record: Journal of the Transportation Research Board, 2003
It is commonly accepted that cracks in aged asphalt pavements will reflect through seal coat and overlay applications. Pavement fabric placed under asphalt concrete overlays will slow this crack reflection, but not stop it. Nineteen years of experience working with the same fabric under a double chip seal has shown that using a modified technique ...
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Pavement Distress Under Accelerated Trafficking

Transportation Research Record: Journal of the Transportation Research Board, 1998
A test pad was closely monitored for a 6-month period, with 640,000 axle load repetitions applied to the test pavement. The load was applied by the Texas Mobile Load Simulator, a full-scale accelerated loading device. Pavement performance data, such as rutting and cracking, were collected at intervals of 0; 2,500; 5,000; 10,000; 20,000; 40,000; 80,000;
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Pavement distress detection and classification based on YOLO network

International Journal of Pavement Engineering, 2021
Yuchuan Du, Zihao Xu, Yu Shen
exaly  

Pavement distress detection using convolutional neural networks with images captured via UAV

Automation in Construction, 2022
Junqing Zhu, Jingtao Zhong, Tao Ma
exaly  

Multi-scale feature fusion network for pixel-level pavement distress detection

Automation in Construction, 2022
Jingtao Zhong, Junqing Zhu
exaly  

Terminology Relating to Pavement Distress

2008
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Study on the evolution of airport asphalt pavement integrated distress based on association rule mining

Construction and Building Materials, 2023
Zhengbo Zou
exaly  

Deep Metric Learning-Based for Multi-Target Few-Shot Pavement Distress Classification

IEEE Transactions on Industrial Informatics, 2022
Hongwen Dong, Kechen Song, Qi Ｗang
exaly  

A novel evaluation method for pavement distress based on impact of ride comfort

International Journal of Pavement Engineering, 2022
Yishun Li, Chenglong Liu, Yuchuan Du
exaly  

Automated pixel-level pavement distress detection based on stereo vision and deep learning

Automation in Construction, 2021
Jinchao Guan, Xiaoyun Cheng, Vincent C S Lee   +2 more
exaly