Results 271 to 280 of about 9,998 (304)

Cold in-place recycling pavement rutting prediction model using grey modeling method

Construction and Building Materials, 2007
Abstract The rut depth prediction model (RDPM), based on grey modeling method, can be an efficient and accurate model to predict rut depth. The concept of grey modeling method is introduced and the model prediction equation is derived. The RDPM was developed using rut depth data from wet and dry test conditions by asphalt pavement analyzer (APA). All
Jia-Chong Du, Stephen A. Cross
openaire   +1 more source

Analysis of Rutting Prediction Criteria Using a Nonlinear Viscoelastic Model

Journal of Materials in Civil Engineering, 2015
Several prediction criteria have been proposed to rank asphalt binders based on their rutting performance, and each one has been shown to be able to predict rutting behavior observed in either accelerated loading field tests or under highway traffic with some level of success.
S. P. Atul Narayan, Dallas N. Little, Kumbakonam R. Rajagopal   +2 more
openaire   +1 more source

Rutting Prediction of Asphalt Pavement Layer Using C-ϕ Model

Journal of Transportation Engineering, 2004
Past research has shown that the concept of C-ϕ (cohesion and angle of friction) can be applied for asphalt paving mix design. It has also been established that the C-ϕ model is able to analyze the behavior of asphalt pavement under load, thereby permitting the incorporation of mechanistic or semimechanistic distress models into asphalt mix design as ...
Fwa, T.F., Tan, S.A., Zhu, L.Y.
openaire   +1 more source

Modification of MEPDG rutting model based on RIOHTrack data

International Journal of Pavement Engineering, 2023
Weikang Kong, Wei Huang, Weiqiang Guo, Ya Wei   +3 more
openaire   +1 more source

Development of rutting forecasting models for distinct asphalt pavement structures in RIOH testing track using different approaches

Construction and Building Materials, 2023
Tao Wu, Jinde Cao, Bingquan Chen
exaly  

Rutting depth predictive model for airfield composite pavement

2021
L. Man, J. Ling, L. Ren, Z. Wang, J. Gao
openaire   +1 more source

Rutting prediction models for asphalt pavements with different base types based on RIOHTrack full-scale track

Construction and Building Materials, 2021
Leilei Chen
exaly  

The use of deep neural networks for developing generic pavement rutting predictive models

International Journal of Pavement Engineering, 2022
Angela J Haddad, Ghassan R Chehab, George A Saad   +2 more
exaly  

Stress–strain dependent rutting prediction models for multi-layer structures of asphalt mixtures

International Journal of Pavement Engineering, 2022
Yong Deng, Yao Zhang, Xijun Shi
exaly  

Rutting prediction using deep learning for time series modeling and K-means clustering based on RIOHTrack data

Construction and Building Materials, 2023
Chuanfeng Zheng
exaly