Article
Construction & Building Technology
Yuanyuan Pan, Hui Guo, Wei Guan, Yongli Zhao
Summary: Rutting is a common problem in asphalt pavements that can lead to ride safety concerns, deterioration, and increased maintenance costs. Factors affecting rutting resistance were investigated through wheel tracking tests, including internal factors (aggregate gradation, asphalt content, and layer thickness), external factors (temperature and traffic loading), and human factors (compaction degree). The results showed that rutting resistance can be improved by designing a tightly interlocked aggregate skeleton, using an optimal asphalt content, achieving sufficient compaction, maintaining a specific layer thickness, using an asphalt softening point higher than pavement temperature, and avoiding overloaded vehicles. In highly rutted areas, it is recommended to use stone mastic asphalt or styrene-butadiene-styrene modified asphalt with specific properties.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Construction & Building Technology
Taha Ahmed, Elie Y. Hajj, Ahmed Warrag, Murugaiyah Piratheepan
Summary: Through field pavement surveys and laboratory tests, the study found that the arid climate conditions in Kuwait have led to severe pavement raveling problems and significant deterioration in pavement performance, mainly due to asphalt binder aging causing weakened adhesion strength between aggregate particles and asphalt binder, leading to raveling and stripping issues.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2021)
Article
Construction & Building Technology
Jaehoon Jeong, B. Shane Underwood, Y. Richard Kim
Summary: This study describes a methodology to develop index-volumetrics relationships for predicting the rutting performance of asphalt mixtures. Two rutting tests, stress sweep rutting and Hamburg wheel-track test, were utilized to characterize the performance of two mixtures. IVRs were developed for each mixture and test method to predict rutting performance based on volumetric properties.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Konstantina Georgouli, Christina Plati
Summary: This study aims to investigate the relationship between the wandering of Autonomous Trucks (AT) and the performance of flexible pavement asphalt layers with different thicknesses and stiffness. The analysis shows that when the ATs' wheel paths are distributed uniformly in the lateral direction within the lane, the accumulated damage to the pavement is significantly reduced.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2023)
Article
Construction & Building Technology
Linyi Yao, Zhen Leng, Jiwang Jiang, Fujian Ni, Zili Zhao
Summary: This study aims to develop an empirical model using the gene expression programming (GEP) method to predict the rutting resistance of the middle asphalt layer in a multilayered asphalt pavement, providing a basis for project-level pavement maintenance decision-making. The GEP model outperformed the conventional multiple linear regression (MLR) model in uncertainty analysis, allowing transport agencies to estimate the reliability of their predictions and make maintenance and rehabilitation (M&R) plans accordingly.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Md. Joynul Abadin, Kimitoshi Hayano
Summary: The study aims to investigate the premature failure mechanism of national highway pavement, with alligator cracking and rutting being the dominant failure modes. It was found that poor interfacial bonding and overloading have a coupling effect leading to fatigue and rutting failure within one year. Variations in base layer stiffness exacerbate this coupling effect.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Mathematical & Computational Biology
Bo Kou, Jinde Cao, Wei Huang, Tao Ma
Summary: This paper combines machine learning and mechanical-empirical models to study the feature selection affecting the rutting evolution and rutting depth model of semi-rigid asphalt pavement. The results show that the R-F model has more accurate prediction ability and better generalization ability, without the need for complex data preprocessing and noise reduction, greatly improving the applicability and accuracy of the existing model framework.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Construction & Building Technology
Ramu Baadiga, Umashankar Balunaini, Sireesh Saride, Madhira R. Madhav
Summary: The study investigated the impact of different types and strengths of geogrids on rutting behavior of flexible pavements through large-scale model pavement experiments, revealing that geogrid reinforcement significantly reduces rut depths at both the surface and subgrade levels, especially when constructed over soft subgrades.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2021)
Article
Engineering, Mechanical
Li-Hui Zhao, Qi-Chen Li, Jin-Zhi Feng, Song-Lin Zheng
Summary: This paper addresses the issue of current bearing life evaluation and proposes a new method for predicting wheel-hub-bearing service life under multi-axial wheel loading. By utilizing experimental data and calculation models, the study successfully calculates the life of wheel-hub-bearing under multi-axial random road load, and verifies the accuracy of the results and the rationality of the method through bench testing.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Construction & Building Technology
Abhirup B. Roy-Chowdhury, Mofreh F. Saleh, Miguel Moyers-Gonzalez
Summary: This research focuses on statistical analysis and ruggedness testing to study the factors affecting the permanent deformation behavior of asphalt mixes in the Modified Wheel Tracker (MWT). The results show that temperature has the greatest effect on the permanent deformation behavior based on vertical and horizontal FN Indices. Under controlled pressure conditions, confining pressure is the most significant factor for rutting parameters. Sensitivity analysis indicates that to maintain vertical deformation within +/- 25% of the model at 2000 cycles, confining pressure and temperature should be controlled within +/- 25% and +/- 5% range.
MATERIALS AND STRUCTURES
(2023)
Article
Construction & Building Technology
Fan Gu, Chen Chen, Michael Heitzman, Ryland Potter, Buzz Powell
Summary: This study evaluated the repeatability of LWST and SCRIM measurements and investigated the influences of test speed and test temperature on friction measurements. The results showed that the measurements were most repeatable at a test speed of 50 mph and tangent section. The study recommended an acceptable precision of within 2.5 SN or 3 SR units for friction measurement.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Construction & Building Technology
Ali Yeganeh, Bram Vandoren, Ali Pirdavani
Summary: This study evaluated the impacts of dedicating a reduced lane width to AVs on pavement rutting performance, finding that using narrower lanes for AVs significantly increases the pavement's total rutting depth.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Construction & Building Technology
Masoud Taghavi, Saeid Hesami, Ebrahim Hesami, Seyedalireza Mohammadirad
Summary: This study investigates the effectiveness of Rejuvenator seal material (RSM) in revitalizing aged asphalt binder and finds the optimal formulation and application methods. The results show that RSM has a positive effect on the mechanical properties and fatigue performance of the aged binder, but has a negative effect on rutting resistance.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2022)
Article
Construction & Building Technology
Ehsan Yaghoubi, Mohammadjavad Yaghoubi, Maurice Guerrieri, Nithin Sudarsanan
Summary: This study investigated the use of sand-size recycled glass as a non-chemical soil treatment approach for high plasticity expansive clay. Experimental works, numerical modeling, and pavement performance analysis were carried out, showing up to a 113% increase in resilient modulus of clay by adding 30% recycled glass. The results indicate a considerable reduction in compressive and tensile strains in pavement models treated with recycled glass, leading to a significant increase in fatigue life and rutting life of pavements.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Geological
Leilei Chen, Gang Liu, Bo Yao, Zhendong Qian
Summary: This study developed a new rutting prediction model for semi-rigid base asphalt pavement (SBAP) based on field core specimens and Hamburg wheel tracking (HWT) test data. The proposed model showed significantly improved prediction accuracy compared to the original model embedded in the Chinese specification. The model development process could also be applied to other regions for rutting prediction.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2021)
Article
Construction & Building Technology
Xingyi Zhu, Ziwei Dai, Feng Chen, Xiaodong Pan, Ming Xu
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2019)
Article
Transportation Science & Technology
Feng Chen, Mingtao Song, Xiaoxiang Ma, Xingyi Zhu
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Environmental Sciences
Feng Chen, Mingtao Song, Xiaoxiang Ma
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Article
Transportation Science & Technology
Guangyang Hou, Suren Chen, Feng Chen
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Construction & Building Technology
Feng Chen, Haorong Peng, Pak-wai Chan, Xiaoqing Zeng
BUILDING AND ENVIRONMENT
(2019)
Article
Construction & Building Technology
Feng Chen, Haorong Peng, Xiaoxiang Ma, Jieyu Liang, Wei Hao, Xiaodong Pan
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2019)
Review
Engineering, Civil
Linlin Zhang, Feng Chen, Xiaoxiang Ma, Xiaodong Pan
JOURNAL OF ADVANCED TRANSPORTATION
(2020)
Article
Environmental Sciences
Xiaojun Shao, Xiaoxiang Ma, Feng Chen, Mingtao Song, Xiaodong Pan, Kesi You
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Green & Sustainable Science & Technology
Feng Chen, Mingtao Song, Xiaoxiang Ma
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Construction & Building Technology
Peiyan Chen, Feng Chen, Lin Zhang, Xiaoxiang Ma, Xiaodong Pan
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2020)
Article
Environmental Sciences
Qiang Zeng, Wei Hao, Jaeyoung Lee, Feng Chen
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Engineering, Civil
Feng Chen, Haorong Peng, Pak-wai Chan, Xiaoqing Zeng
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2020)
Article
Engineering, Civil
Afaq Khattak, Pak-wai Chan, Feng Chen, Haorong Peng
Summary: The study utilized the Explainable Boosting Machine (EBM) model to predict go-arounds and interpret influential factors. The EBM model exhibited superior performance and enabled comprehensive interpretation of different factors.
KSCE JOURNAL OF CIVIL ENGINEERING
(2023)
Article
Meteorology & Atmospheric Sciences
Afaq Khattak, Pak-Wai Chan, Feng Chen, Haorong Peng, Caroline Mongina Matara
Summary: The final approach phase of aircraft is responsible for a large number of aviation incidents worldwide, mainly caused by low-level wind shear, heavy downpours, runway excursions, and unsteady approaches. This study used machine learning techniques to predict missed approach (MAP) procedures under low-level wind shear conditions based on environmental and situational parameters. Various models were employed, but the self-paced ensemble (SPE) framework utilizing XGboost performed the best in terms of accuracy and effectiveness. The study provides valuable insights for aviation safety researchers and airport authorities.
ADVANCES IN METEOROLOGY
(2023)