Article
Engineering, Geological
Masood Abdollahi, Farshid Vahedifard
Summary: A comprehensive model has been developed to accurately predict the resilient modulus, M-R, of subgrade soils while considering the effects of water content, temperature, changes in deviatoric stress, and hydraulic hysteresis. The model incorporates two distinct water retention mechanisms and accurately captures the characteristics of M-R over the entire range of suction. It has shown excellent performance in validation against experimental data.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2022)
Article
Polymer Science
Yingcheng Luan, Wei Lu, Kun Fu
Summary: This paper improves the prediction model of resilient modulus of polymer reinforced soil by incorporating the effects of the dry-wet cycle. Finite element method (FEM) analysis is used to study the stress state of the pavement and the coupling effect of dry-wet cycle and vehicle load. The results show that the deviator stress is negatively correlated with the resilient modulus and the dry-wet cycle can reduce the resilient modulus.
Article
Engineering, Civil
Shadi Hanandeh, Husam Ardah, Allam Ardah, Murad Abu-Farsakh
Summary: This study proposes an effective method for evaluating the resilient modulus of stabilized weak subgrade soil. Experimental data and regression analysis show that the developed models can accurately estimate the resilient modulus parameters. Monte Carlo simulation predicts a failure probability of 7.2% using the developed models.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Construction & Building Technology
Alexandra Ossa, Cesar Lerma, Mario Flores, Alberto Gaxiola
Summary: This study presents a methodology for determining the resilient modulus of foundation soil in the lacustrine soil area of Mexico City. It also describes the impact of ground improvement through preload and prefabricated vertical drains. New criteria were developed to determine the resilient modulus of the soft soil, leading to unprecedented results in the literature.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Engineering, Civil
Xuanxuan Chu, Andrew Dawson, Nick Thom
Summary: The study found a positive correlation between resilient modulus and consistency index of soil, leading to the proposal of two prediction models to assess resilient modulus. The models were validated and proved to be a reasonable alternative for determining resilient modulus of fine-grained soils for foundation design.
TRANSPORTATION GEOTECHNICS
(2021)
Article
Engineering, Civil
Navid Kardani, Mohammad Aminpour, Muhammad Nouman Amjad Raja, Gaurav Kumar, Abidhan Bardhan, Majidreza Nazem
Summary: This study explores the potential of ensemble machine learning techniques for predicting the resilient modulus of pavement subgrade soil. After analyzing and comparing 2813 data points, it was found that the bagging ensemble model performs the best in predicting the resilient modulus.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Construction & Building Technology
Sin -Mei Lim, Buddhima Indraratna, Ana Heitor, Kai Yao, Dalong Jin, Wael M. Albadri, Xia Liu
Summary: This paper presents experimental results on the influence of matric suction on the resilient modulus and California bearing ratio of compacted subgrade Ballina clay. The study also examines the macrostructure of the compacted specimens using CT scans.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Adnan Khan, Ju Huyan, Runhua Zhang, Yu Zhu, Weiguang Zhang, Gao Ying, Kamal Nasir Ahmad, Syed Khaliq Shah
Summary: This study applies random forest and XGBoost regression models to predict the properties of asphalt mix and the resilient modulus of base materials. The results show that XGBoost performs better in predicting both Marshall mix properties and Mr value compared to previous research. These models can be used for more accurate design and evaluation of flexible pavement structures.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Forestry
Lenka Sevelova, Ales Florian, Jaroslav Zak
Summary: The low load-bearing capacity of subgrade soils is typical for forest roads. Various methods, including cyclic CBR tests, are used to determine the resilient modulus M-r for forest subgrade soils.
Article
Construction & Building Technology
Behnam Ghorbani, Ehsan Yaghoubi, P. L. P. Wasantha, Rudi van Staden, Maurice Guerrieri, Sam Fragomeni
Summary: In this study, machine learning algorithms including artificial neural network, support vector regression, and random forest regression were used to estimate the resilient modulus of C & D wastes blended with tire-derived aggregate. A database of repeated load triaxial test results was utilized to develop the machine learning models, and the predictive performance was assessed using statistical indices. The results showed the robustness of machine learning algorithms in predicting the resilient modulus of C & D/TDA wastes.
ROAD MATERIALS AND PAVEMENT DESIGN
(2023)
Article
Engineering, Geological
Yu Su, Yu-Jun Cui, Jean-Claude Dupla, Jean Canou
Summary: This study proposes a constitutive model to describe the resilient modulus of fine/coarse soil mixtures, taking into account the effects of coarse grain content, deviator stress, and suction. The model is validated using experimental data and is found to outperform existing models in capturing the suction-dependent effect of deviator stress.
Article
Engineering, Civil
Wei-lie Zou, Zhong Han, Lu-qiang Ding, Xie-qun Wang
Summary: This study developed gene expression programming (GEP) and artificial neural network (ANN) models to predict the resilient modulus (M-R) of compacted pavement subgrade soils based on physical properties, external stress states, and environmental factors. The results showed that the type of soil and environmental factors have a greater impact on the MR of compacted subgrade soils compared to external stress states.
TRANSPORTATION GEOTECHNICS
(2021)
Article
Construction & Building Technology
Mingming Cao, Wanqing Huang, Yiwen Zou, Zhiyong Wu
Summary: The study compared the equivalent resilient moduli of different structural layers in three different asphalt pavement structures, indicating that the results obtained from the inversion method are closer to actual values. When calculating the equivalent resilient modulus, the influence of layer thickness and the number of structural layers should be considered. The more structural layers and the larger the difference in the interlayer modulus ratio, the larger the deviation of the equivalent resilient modulus of the top surface of the base layer.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Construction & Building Technology
(Jey) Jeyakaran Thavathurairaja, Adam J. Hand, Murugaiyah Piratheepan, Peter E. Sebaaly, Elie Y. Hajj
Summary: In this study, a stepwise mechanistic analysis approach was used to determine representative resilient modulus (Mr) values for unbound materials typically used in Nevada. Laboratory tests and constitutive models were employed to evaluate the resilient modulus values of crushed aggregate base, borrow material, and SG soils. Finite element analysis was conducted to compute stresses and deflection in conventional flexible pavements, which were then used to estimate the Mr values of the unbound layers.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
M. Jibon, D. Mishra
Summary: Recent research has shown that using light weight deflectometers (LWDs) for soil resilient modulus testing in the laboratory can provide representative values for mechanistic-empirical (M-E) pavement design. By conducting LWD testing inside Proctor molds, soil resilient modulus values can be accurately predicted without the need for repeated load triaxial testing. This approach has the potential to replace traditional testing methods and provide more accurate data for highway design.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2021)
Article
Chemistry, Physical
Wei-lie Zou, Zhong Han, Sai K. Vanapalli, Jun-feng Zhang, Gui-tao Zhao
APPLIED CLAY SCIENCE
(2018)
Article
Engineering, Geological
L-L Wan, W-L Zou, X-Q Wang, Z. Han
GEOSYNTHETICS INTERNATIONAL
(2018)
Article
Engineering, Geological
Zhong Han, Sai K. Vanapalli, Jun-ping Ren, Wei-lie Zou
SOILS AND FOUNDATIONS
(2018)
Article
Environmental Sciences
Yun-xue Ye, Wei-lie Zou, Zhong Han
Article
Environmental Sciences
Yun-xue Ye, Wei-lie Zou, Zhong Han, Xiao-wen Liu
JOURNAL OF MOUNTAIN SCIENCE
(2019)
Article
Engineering, Environmental
Junping Ren, Sai K. Vanapalli, Zhong Han, Kenneth O. Omenogor, Yu Bai
COLD REGIONS SCIENCE AND TECHNOLOGY
(2019)
Article
Engineering, Geological
Zhong Han, Sai K. Vanapalli, Wei-lie Zou
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2019)
Article
Construction & Building Technology
Wei-lie Zou, Liang-long Wan, Zhong Han, Xie-qun Wang
CONSTRUCTION AND BUILDING MATERIALS
(2019)
Article
Construction & Building Technology
Zhong Han, Wei-lie Zou, Xie-qun Wang
Summary: This paper introduces two models for predicting the water retention curve and resilient modulus-moisture content relationships of pavement materials, suitable for compacted natural and recycled unbound granular materials. Both models are simple to apply and have shown reasonable predictive ability in experimental data testing.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2021)
Article
Environmental Sciences
Wei-lie Zou, Zhong Han, Jia-bing Ye
ENVIRONMENTAL EARTH SCIENCES
(2020)
Article
Environmental Sciences
Wei-lie Zou, Zhong Han, Gui-tao Zhao, Ke-wei Fan, Sai K. Vanapalli, Xie-qun Wang
Summary: This paper investigates the influence of multiple freeze-thaw cycles on the mechanical behaviors of expansive soil under different confining stresses. The results show that the cycles mainly affect the soil's macropores, leading to cracks and slight swelling, which significantly reduces the soil's mechanical properties. The shear stress-strain curves transition from strain-softening to strain-hardening as the confining stress increases, and a simple empirical model can describe the strain-softening behavior of the stress-strain curves under low confining stresses.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Engineering, Geological
Jianguo Lin, Weilie Zou, Zhong Han, Ziwei Zhang, Xiequn Wang
Summary: This study investigates the evolution of a compacted clay's structural, volumetric, and water retention behaviors during soaking and desiccation, considering the influences of freeze-thaw cycles and saline intrusion. The results show that both freeze-thaw cycles and saline intrusion significantly affect the clay's microstructure and water retention characteristics. FT-induced cracks reduce the clay's swelling and shrinkage potentials, while salinization suppresses the clay's swelling and alters its water retention properties.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2022)
Article
Construction & Building Technology
Xie-qun Wang, Xiang-wei Yu, Zhi-qi Li, Zhong Han, Wei-lie Zou
Summary: This paper investigates the effects of external stress and moisture and temperature cycles on the microstructure and dynamic responses of waste sludge. It shows that the cycles lead to the degradation of the soil's pore structure, decrease in soil stiffness, and changes in dynamic shear modulus, damping ratio, and accumulative plastic strain.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Geography, Physical
JunPing Ren, Sai K. Vanapalli, Zhong Han
SCIENCES IN COLD AND ARID REGIONS
(2017)
Article
Engineering, Geological
Zhong Han, Sai K. Vanapalli, Wei-lie Zou
CANADIAN GEOTECHNICAL JOURNAL
(2017)