Results 251 to 260 of about 297,566 (315)

Performance of Foamed Asphalt Stabilized Base Materials Incorporating Reclaimed Asphalt Pavement

, 2016
Matthew Zammit
openalex   +1 more source

Waste Cooking Oil as Eco-Friendly Rejuvenator for Reclaimed Asphalt Pavement. [PDF]

Materials (Basel)
Bardella N, Facchin M, Fabris E, Baldan M, Beghetto V.   +4 more
europepmc   +1 more source

Hot-Mix Asphalt Pavements [PDF]

, 2004
openaire  

Study on Low Temperature Cracking Resistance of Carbon Fiber Geogrid Reinforced Asphalt Pavement Surface Combined Body. [PDF]

Polymers (Basel)
Wang Z, Yang G, Wang X, Liang X, Liu M, Zhang H.   +5 more
europepmc   +1 more source

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Asphalt Pavement Health Prediction Based on Improved Transformer Network

IEEE transactions on intelligent transportation systems (Print), 2023
Neural network-based models have been implemented to predict various health indicators of asphalt pavement using pavement historical detection data. Unfortunately, their accuracy and reliability are not acceptable owing to their shallow architecture.
Chengjia Han, Tengyu Ma, Linhao Gu, Jinde Cao, Xinli Shi, Wei Huang, Zheng Tong   +6 more
semanticscholar   +1 more source

A literature review: asphalt pavement repair technologies and materials

Proceedings of the Institution of Civil Engineers : Engineering Sustainability, 2023
Asphalt pavement is the most widely used type of pavement in the world and is mainly utilized in the construction of infrastructures such as highways, urban roads, parking lots, and airstrips.
Hui Yao, Yiran Wang, Pengrui Ma, Xin Li, Zhanping You   +4 more
semanticscholar   +1 more source

Evaluation of asphalt pavement maintenance using recycled asphalt pavement with asphalt binders

Construction and Building Materials, 2023
Road maintenance projects require innovative, economical, and environmental solutions. This study evaluated recycled asphalt pavement (RAP) as a greener aggregate alternative to natural aggregate for the maintenance of asphalt concrete in flexible pavements.
Menglim Hoy, Vaiphot Samrandee, Worachet Samrandee, Apichat Suddeepong, Itthikorn Phummiphan, Suksun Horpibulsuk, Apinun Buritatum, Arul Arulrajah, Chakkrid Yeanyong   +8 more
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Asphalt Pavement Crack Detection Based on Convolutional Neural Network and Infrared Thermography

IEEE transactions on intelligent transportation systems (Print), 2022
Two issues exist in the convolutional neural network (CNN) used for asphalt pavement crack detection: balance between accuracy and complexity, and indistinct edges of cracks and asphalt pavement surface.
F. Liu, Jian Liu, Linbing Wang
semanticscholar   +1 more source

An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree

International Journal of Pavement Engineering, 2021
This paper proposes an ensemble learning model that deploys a Gradient Boosting Decision Tree (GBDT) to predict two relevant functional indices, the International roughness index (IRI) and the rut depth (RD), considering multiple influence factors.
Runhua Guo, Donglei Fu, G. Sollazzo
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Automated pavement distress segmentation on asphalt surfaces using a deep learning network

International Journal of Pavement Engineering, 2022
Recently, many deep learning methods have achieved great results in the field of automated pavement distress detection, but most of them ignore other types of distresses beyond cracks.
Tian Wen, Shuo Ding, H. Lang, J. Lu, Ye Yuan, Yichuan Peng, Jiang Chen, Aidi Wang   +7 more
semanticscholar   +1 more source