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
Engineering, Geological
Rusong Nie, Baoli Sun, Wuming Leng, Yafeng Li, Bo Ruan
Summary: Large-scale dynamic triaxial tests were conducted to study the variation of resilient modulus of coarse-grained soil under different conditions. The results showed that the state of specimens under dynamic load can be divided into stable, critical and failure categories, with resilient modulus influenced by moisture content, dynamic stress amplitudes, number of loading cycles, and confining pressures. An increase in moisture content leads to a decrease in resilient modulus, while an increase in dynamic stress amplitude and confining pressure results in an increase in resilient modulus.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
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
Construction & Building Technology
Jaspreet Pooni, Dilan Robert, Filippo Giustozzi, Chamila Gunasekara, Sujeeva Setunge, Srikanth Venkatesan
Summary: The study examines the hydraulic behavior of expansive clayey soils stabilized with chemical additives. The results show that stabilization has a strong influence on soil hydraulic characteristics under different initial state conditions.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Construction & Building Technology
Hussein M. Abdallah, Samer R. Rabab'ah, Madhar M. Taamneh, Mohammad O. Taamneh, Shadi Hanandeh
Summary: The present work evaluates the use of different additives to stabilize expansive soil. Various combinations of zeolitic tuff (ZT) at 10%, 20%, 25%, and 30% with lime at 2%, 4%, and 6% were used to stabilize the soil for pavement subbase application. A comprehensive test program including various tests on natural and stabilized soil specimens revealed that adding ZT increases the physical and mechanical properties of lime-stabilized soil, such as maximum dry unit weight, CBR, UCS, resilient modulus, while decreasing plasticity and permanent deformation.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2023)
Article
Engineering, Civil
Dina Kuttah
Summary: Cyclic LWD testing can be used to predict the resilient behavior of the tested soil simply and quickly with good precision and reliability.
TRANSPORTATION GEOTECHNICS
(2021)
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
Junhui Zhang, Junhui Peng, Ling Zeng, Jue Li, Feng Li
Summary: The study developed a new resilient modulus model with stress dependence and moisture dependence, and used laboratory experiments and multiple regression analysis to develop prediction models for model parameters, successfully estimating the resilient modulus of subgrade soils accurately and conveniently.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2021)
Article
Construction & Building Technology
Xinman Ai, Junyan Yi, Han Zhao, Songqiang Chen, Hai Luan, Lidong Zhang, Decheng Feng
Summary: This study establishes an empirical predictive model for the dynamic resilient modulus based on the static resilient modulus and CBR of cement- and lime-stabilised subgrade soils. The results suggest that moisture content, compaction degree, and freeze-thaw cycles have similar effects on the dynamic and static resilient modulus, and CBR. The proposed model indicates that a logarithmic relationship among CBR, dynamic and static resilient modulus better characterizes the behavior of stabilised soils.
ROAD MATERIALS AND PAVEMENT DESIGN
(2021)
Article
Metallurgy & Metallurgical Engineering
Jun-hui Zhang, Jian-kun Hu, Jun-hui Peng, Hai-shan Fan, Chao Zhou
Summary: An optimized artificial neural network (ANN) approach based on the multi-population genetic algorithm (MPGA) was proposed in this study to determine the resilient modulus of compacted subgrade soils quickly and accurately. Through comparison with existing representative estimation methods using experimental data, the developed optimized ANN method was found to have the advantages of fast speed, strong generalization ability, and good accuracy in resilient modulus estimation.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2021)
Article
Construction & Building Technology
Hyun-Su Park, Byeong-Su Kim, Shoji Kato, Seong-Wan Park
Summary: The influence of suction and moisture conditions on the resilient modulus of subgrade soils should be considered in prediction models. In this study, the average skeleton stress and suction stress were incorporated into the model to improve its accuracy. The predicted resilient modulus was compared with experimental data, and it was found that the suction stress has an independent effect on the resilient modulus in unsaturated subgrade soils.
ROAD MATERIALS AND PAVEMENT DESIGN
(2023)
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, Environmental
Tianshu Lin, Tatsuya Ishikawa, Jiaqiang Yang, Tetsuya Tokoro
Summary: This study investigated the effects of freeze-thaw actions and seasonal fluctuations in water content on the resilient modulus of subgrade materials in cold regions. A simple model was constructed to estimate the climate effect on the resilient modulus, and the fatigue life of asphalt pavements in cold regions was found to decrease due to climate-related degradation of subgrade materials.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2022)
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)
