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Samiulhaq Wasiq and Amir Golroo
Road networks play a significant role in each country?s economy, especially in countries such as Afghanistan, which is strategically located in the international transit path from Europe to East Asia. In such a country, pavement performance models are fu...
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Ahmet Demir, Bahadir Ok and Talha Sarici
In this study, the performance of unpaved road sections over soft clay soil geosynthetic-reinforced and stabilized with rock fill layer was evaluated using repeated plate loading tests. A total of 10 field tests were carried out using a circular model ri...
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Jiale Li, Jiayin Guo, Bo Li and Lingxin Meng
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method. Accurate prediction of pavement performance plays a vital role in road ...
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Sanjeeb Kumar Mohanty, Nirmal Kumar Pandit, Pawan Kumar Sah, Niraj Mahaseth, Rajesh Yadav, Dipti Ranjan Biswal, Benu Gopal Mohapatra, Brundaban Beriha, Ramachandra Pradhan and Sujit Kumar Pradhan
The management of unutilized fly ash poses challenges due to concerns about storage and its potential groundwater contamination. Within the road industry, where the bulk utilization of fly ash is feasible, its unsuitability for use in the base and sub-ba...
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O. F. Luzhytskyi, M. B. Kurhan, M. A. Husak, V. I. Ulanovskyi
Pág. 29 - 44
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Abdullah As Sami, Saadman Sakib, Kaushik Deb and Iqbal H. Sarker
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, ma...
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José Neves and João Crucho
The demand for more sustainable transport infrastructure has led to a broader acceptance of waste materials in pavements. An excellent example of this trend is the incorporation of steel slag aggregates (SSA) in asphalt mixtures. This work evaluates the ...
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Sung-Sam Hong, Jaekang Lee, Suwan Chung and Byungkon Kim
The quality of road pavements is highly impacted by environmental variables, such as temperature, humidity, and weather; and construction-related variables, such as material quality and time. In this paper, an advanced data collection and analysis system...
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Kaifeng Wang, Ziyu Lu, Yingxue Zou, Yunsheng Zhu and Junhui Yu
For improving the night recognition of road markings and enhancing the driving safety of asphalt pavements, single-factor optimization is used to investigate the effects of the component materials, including luminescent power, pigment, filler, and anti-s...
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