[HTML][HTML] Research and applications of artificial neural network in pavement engineering: a state-of-the-art review
Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …
(ANN) has been explored and applied to handle complicated problems in the field of …
Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks
The Rutting prediction model is an essential element of efficient pavement management
systems. Accuracy of commonly used predictive model necessitates knowledge of the input …
systems. Accuracy of commonly used predictive model necessitates knowledge of the input …
[HTML][HTML] Neural network modeling of rutting performance for sustainable asphalt mixtures modified by industrial waste alumina
Considerable efforts have been devoted to developing a sustainable approach to road
construction. The use of recycled concrete aggregate (RCA) obtained from construction …
construction. The use of recycled concrete aggregate (RCA) obtained from construction …
Determining the optimum amount of recycled asphalt pavement (RAP) in warm stone matrix asphalt using dynamic creep test
This research is conducted to investigate the use of a laboratory experiment to evaluate the
influence of changes in the percentage of recycled asphalt pavement (RAP) content on …
influence of changes in the percentage of recycled asphalt pavement (RAP) content on …
Kinetics-based fatigue damage investigation of asphalt mixture through residual strain analysis using indirect tensile fatigue test
Fatigue damage, one of the major distresses of asphalt pavement, has been found to have a
phenomenological correlation with the accumulated residual strain (RS) of the asphalt …
phenomenological correlation with the accumulated residual strain (RS) of the asphalt …
Artificial neural network modeling of theoretical maximum specific gravity for asphalt concrete mix
MA Dalhat, SA Osman - International Journal of Pavement Research and …, 2024 - Springer
The maximum specific gravity of asphalt concrete (AC) mix (G mm) is an important
parameter without which asphalt mix design cannot be realized. But the experimental …
parameter without which asphalt mix design cannot be realized. But the experimental …
Artificial neural networks for flexible pavement
Transportation agencies are primarily responsible for building new roads and maintaining
current roads. The main focuses of these agencies are to prioritize maintenance and make …
current roads. The main focuses of these agencies are to prioritize maintenance and make …
Investigating fatigue life prediction of rubber asphalt mixture based on damage evolution using residual strain analysis approach
C Fang, N Guo, Z You, Y Tan - Construction and Building Materials, 2020 - Elsevier
This study aims to develop the fatigue life (N f) prediction method of rubber asphalt mixture
based on residual strain (RS) analysis by using three-point bending fatigue test. The RS …
based on residual strain (RS) analysis by using three-point bending fatigue test. The RS …
Permanent deformation characteristic of asphalt mixture under coupling effect of moisture, overload and loading frequency
K Zhang, W Xie, Y Zhao - Construction and Building Materials, 2021 - Elsevier
To evaluate the influence of vehicle load and driving speed on permanent deformation
characteristic of asphalt mixture in high temperature and rainy areas, the Hamburg wheel …
characteristic of asphalt mixture in high temperature and rainy areas, the Hamburg wheel …
Incorporating Artificial Intelligence Applications in Flexible Pavements: A Comprehensive Overview
With the advancements witnessed in the domains of data science and soft computing,
researchers and practitioners have delved into the exploration and application of artificial …
researchers and practitioners have delved into the exploration and application of artificial …