Quynh-Anh Thi Bui^1,*, Dam Duc Nguyen¹, Hiep Van Le¹, Indra Prakash², Binh Thai Pham^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 691-712, 2025, DOI:10.32604/cmes.2024.054766 - 17 December 2024

Abstract Determination of Shear Bond strength (SBS) at interlayer of double-layer asphalt concrete is crucial in flexible pavement structures. The study used three Machine Learning (ML) models, including K-Nearest Neighbors (KNN), Extra Trees (ET), and Light Gradient Boosting Machine (LGBM), to predict SBS based on easily determinable input parameters. Also, the Grid Search technique was employed for hyper-parameter tuning of the ML models, and cross-validation and learning curve analysis were used for training the models. The models were built on a database of 240 experimental results and three input variables: temperature, normal pressure, and tack coat… More >

Zhonghai Jiang¹, Qian Wang¹, Liangbing Zhou^2,*, Chun Xiao³

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1693-1708, 2023, DOI:10.32604/fdmp.2023.025270 - 30 January 2023

Abstract A two-layer implicit difference scheme is employed in the present study to determine the temperature distribution in an asphalt pavement. The calculation of each layer only needs four iterations to achieve convergence. Furthermore, in order to improve the calculation accuracy a swarm intelligence optimization algorithm is also exploited to inversely analyze the laws by which the thermal physical parameters of the asphalt pavement materials change with temperature. Using the basic cuckoo and the gray wolf algorithms, an adaptive hybrid optimization algorithm is obtained and used to determine the relationship between the thermal diffusivity of two More >

Yuquan Yao¹, Jie Gao^2,3, Jiangang Yang^2,3,*, Bocheng Huang⁴, Liang Song⁵

Journal of Renewable Materials, Vol.10, No.8, pp. 2263-2285, 2022, DOI:10.32604/jrm.2022.018911 - 25 April 2022

Abstract The shortage of natural aggregates is becoming a severe problem in the pavement industry globally. To address this issue, in this study, an effort was made to use reclaimed asphalt pavement (RAP) and coal gangue (CG) as coarse and fine aggregate, respectively for producing the hot mix asphalt (HMA). As the replacement of natural aggregate, there were seven types of HMA containing 20% and 40% RAP coarse aggregate content, and 10% and 25% CG fine aggregate content were designed and prepared. In addition, Marshall Stability test, rutting resistance test, immersion Marshall test, freezing-thaw splitting test,… More > Graphic Abstract

Jianmin Wu^*, Bingbing Zhang, Chunsheng Wu, Zhiqiang Shu, Shaoqing Li, Jianqi Yang

Journal of Renewable Materials, Vol.9, No.5, pp. 993-1011, 2021, DOI:10.32604/jrm.2021.014304 - 20 February 2021

Abstract In order to improve the utilization of milling materials, save stone resources and reduce milling energy consumption, the aged Styrene-butadiene-styrene (SBS) modified asphalt was used as a binder to prepare AC-16 asphalt mixture to simulate old asphalt pavement materials. First, the test and discrete element simulation results of uniaxial compression tests were used to calibrate the parameters of the parallel bonding contact model between asphalt mortar and aggregates. On this basis, a microscopic model of the asphalt mixture was established to simulate the old asphalt pavement. Then, the discrete element software PFC (Particle Flow Code)… More >