Article
Computer Science, Interdisciplinary Applications
Z. L. Zhang, X. L. Yang
Summary: This paper develops a unified analytical framework to consider the local and global instability of a compound slope and provides a more rigorous solution for stability assessment. Through a hybrid optimization of the objective function, the critical safety factor and slip surface can be obtained. The results show good capability in implementing stability analysis and reveal the influence of slope geometry, soil strength, and external excitation on slope stability and failure pattern.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Environmental Sciences
Yaser Ahangari Nanehkaran, Tolga Pusatli, Jin Chengyong, Junde Chen, Ahmed Cemiloglu, Mohammad Azarafza, Reza Derakhshani
Summary: This study compares five different machine learning models to predict slope safety factors and finds that the multilayer perceptron (MLP) model has the highest accuracy and precision.
Article
Engineering, Environmental
Gabriel Bellina Nunes, Orlando Martini de Oliveira, Narayana Saniele Massocco, Rafael Augusto dos Reis Higashi
Summary: This study investigates the influence of climate seasonal variations on the slide safety factor of a granite residual soil slope using the principles of unsaturated soil mechanics. The field study shows that the soil suction profile changes over time, leading to variations in the slope safety factor.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Amin Iraji, Javad Karimi, Suraparb Keawsawasvong, Moncef L. Nehdi
Summary: This study developed an efficient hybrid optimization technique for evaluating the minimum safety factor of earth slopes. The proposed algorithm combines global search and local search to improve efficiency, and its superiority is demonstrated through numerical experiments.
Article
Forestry
Alam Mehtab, Yuan-Jun Jiang, Li-Jun Su, Sadiq Shamsher, Jia-Jia Li, Rahman Mahfuzur
Summary: The distribution and tensile strength of roots in the soil of standing forests are influenced by the diameter of tree stem. Root indices and cohesion increase with larger stem diameter, while root area ratio decreases with depth and lateral distance from the tree stem, with maximum values at 10 cm depth. Root cohesion estimated for trees with different stem diameters showed an increasing trend, and comparison between different models suggests overestimation by WWM.
Article
Engineering, Geological
Enrico Soranzo, Carlotta Guardiani, Yiru Chen, Yunteng Wang, Wei Wu
Summary: In this study, a convolutional neural network is used to reduce the computational effort in predicting the stability of slopes with complex soil properties. The factor of safety of 600 slopes with different inclination and soil properties is calculated using the strength reduction method. The trained convolutional neural network is then validated, and the augmentation of the dataset is demonstrated to enhance its capability and prevent overfitting.
Article
Computer Science, Interdisciplinary Applications
Xiaokuan Tian, Tianzheng Li, Wenping Gong
Summary: This study presents an analytical framework for assessing the safety of three-dimensional reinforced slopes, taking into account temperature changes and different unsaturated flow conditions. The temperature dependence of the apparent cohesion of unsaturated soil was quantified, and the safety factors and reinforcement strength of slopes were determined. The method was validated and its effectiveness verified through numerical simulations, and a series of parametric analyses were conducted to fully investigate the temperature effect and provide practical engineering recommendations.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Multidisciplinary Sciences
Long Hai, Yongbo Lv, Shilin Tan, Lixin Feng
Summary: This study addressed the problem of quantifying the effect of the alfalfa root morphology on the stability of the shallow surface layer of a coal mine slope. Mechanical parameters of plain soil and alfalfa root-soil composite samples were measured, and a numerical simulation was conducted to analyze the influence of the alfalfa root system on slope displacement. The results showed that the optimal slope degree for the reinforcement of the shallow surface layer by alfalfa roots varied between 30° and 40°.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Shi-Gui Du, Charalampos Saroglou, Yifan Chen, Hang Lin, Rui Yong
Summary: This study presents a new approach for evaluating slope stability in large open-pit mines, which includes graded kinematic analysis using stereographic projection techniques, field estimation of shear strength of discontinuities with consideration of uncertainty and scale dependency, and slope stability assessment based on deterministic and probabilistic analysis. The application of this method to the Yangtaowu Slope in the Dexing Copper Mine demonstrates its effectiveness in predicting slope stability, with the accuracy of the geometric model found to have a significant influence on stability assessment.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Engineering, Mechanical
Ibrahim Mbouombouo Ngapouth, Jorelle Larissa Meli'i, Marthe Mbond Ariane Gweth, Blaise Pascal Gounou Pokam, Yvonne Poufone Koffi, Michel Constant Njock, Michel Andre Pouth Nkoma, Philippe Njandjock Nouck
Summary: This study used geometric, kinematic and seismic methods to analyze the stability of slopes cut into gneiss, revealing that these slopes are generally unstable due to their sharp angles, confirming the sensitivity of the slopes to falling particles, and suggesting mitigation measures.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Ecology
Xuemeng Su, Zhengchao Zhou, Jun'e Liu, Liguo Cao, Junyang Liu, Peipei Wang
Summary: The study focused on root reinforcement of Artemisia sacrorum after land-use change to forestland and grassland in the Loess Plateau of China. Results showed that root parameters were concentrated in the topsoil layer, with tensile characteristics significantly correlated with root diameters. Artemisia sacrorum had a slope safety factor larger than 1, indicating its capability to stabilize slopes in the silt loam area of the Loess Plateau, with implications for slope stability and geological hazards in arid environments.
ECOLOGICAL MODELLING
(2021)
Article
Chemistry, Multidisciplinary
Yangming Wang, Weisheng Xu, Zhe Wang, Yingna Zhu
Summary: This study investigates the impact of reinforcing vegetation roots on the stability of expansive soil slopes. By using ABAQUS software with secondary development, the moisture absorption and expansion of the slopes are simulated. The research reveals that the roots of poinsettia can reduce displacement, disperse plastic strain concentration, and improve slope stability. However, the reinforcement decreases under high rainfall intensity.
APPLIED SCIENCES-BASEL
(2023)
Article
Geosciences, Multidisciplinary
Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Hunar Farid Hama Ali, Hawkar Hashim Ibrahim, Sazan Nariman Abdulhamid, Hamid Reza Nejati
Summary: This study utilized six machine learning techniques to analyze and evaluate 327 slope cases in Iran, with the GPR model identified as the most accurate predictor of slope stability. All features considered in the study made significant contributions to slope stability, with phi (friction angle) and gamma (unit weight) being the most important and least important parameters, respectively.
Article
Engineering, Civil
Jeong-Yeon Yu, Jong-Won Woo, Kyung-Nam Kang, Ki-Il Song
Summary: This study aims to establish the correlations between variables related to a slope during rainfall and factor of safety (FOS) and displacement. The results show that the contributions of various slope-related variables vary according to the soil type, and the friction angle and cohesion are negatively correlated with displacement while the rainfall duration and rainfall intensity are positively correlated with displacement.
GEOMECHANICS AND ENGINEERING
(2023)
Article
Agronomy
G. J. Meijer
Summary: This study provides a generic framework to quantify the effect of different model assumptions on the mechanical contribution of plant roots to soil shear strength. It was found that root reinforcements are very sensitive to the user-defined load sharing parameter, and discretizing roots into diameter classes prior to reinforcement calculations may lead to significant overestimations of reinforcement.
Article
Water Resources
Po-Chia Chen, Mo-Hsiung Chuang, Yih-Chi Tan, Kuo-Chen Ma
HYDROLOGICAL PROCESSES
(2016)
Article
Water Resources
Hsi-Ting Fang, Yih-Chi Tan, Mo-Hsiung Chuang, Kai-Yuan Ke, Po-Chia Chen
HYDROLOGICAL PROCESSES
(2018)
Article
Environmental Sciences
Shih-Ching Wu, Yih-Chi Tan, Chu-Hui Chen, Hsien-Tsung Lin
ENVIRONMENTAL EARTH SCIENCES
(2013)
Article
Water Resources
Kai-yuan Ke, Yih-Chi Tan, Chu-Hui Chen, Hsien-Tsung Lin
HYDROLOGICAL PROCESSES
(2013)
Article
Water Resources
Kuo-Chen Ma, Yong-Jun Lin, Yih-Chi Tan
HYDROLOGICAL PROCESSES
(2013)
Article
Water Resources
Y. J. Huang, C. C. Sung, J. S. Lai, F. Z. Lee, G. W. Hwang, Y. C. Tan
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2013)
Article
Water Resources
Hsiang-Kuan Chang, Yih-Chi Tan, Jihn-Sung Lai, Tsung-Yi Pan, Tzu-Ming Liu, Ching-Pin Tung
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2013)
Article
Water Resources
Tsung-yi Pan, Meng-ying Li, Yong-jun Lin, Tsang-jung Chang, Jihn-sung Lai, Yih-chi Tan
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2014)
Article
Agronomy
K. R. Adhikari, Y. C. Tan, J. S. Lai, Z. S. Chen, V. S. Mishra
IRRIGATION AND DRAINAGE
(2013)
Article
Engineering, Civil
Tsung-Yi Pan, Yi-Ting Yang, Hung-Chi Kuo, Yih-Chi Tan, Jihn-Sung Lai, Tsang-Jung Chang, Cheng-Shang Lee, Kathryn Hua Hsu
JOURNAL OF HYDROLOGY
(2013)
Article
Engineering, Civil
Fong-Zuo Lee, Jihn-Sung Lai, Yih-Chi Tan, Chia-Chi Sung
KSCE JOURNAL OF CIVIL ENGINEERING
(2014)
Article
Geosciences, Multidisciplinary
Tsung-Yi Pan, Lung-Yao Chang, Jihn-Sung Lai, Hsiang-Kuan Chang, Cheng-Shang Lee, Yih-Chi Tan
Article
Engineering, Civil
Hsien-Tsung Lin, Kai-Yuan Ke, Yih-Chi Tan, Shih-Ching Wu, Gao Hsu, Po-Chia Chen, Shi-Ting Fang
WATER RESOURCES MANAGEMENT
(2013)
Article
Engineering, Civil
Hsi-Ting Fang, Bing-Chen Jhong, Yih-Chi Tan, Kai-Yuan Ke, Mo-Hsiung Chuang
WATER RESOURCES MANAGEMENT
(2019)
Article
Geosciences, Multidisciplinary
Mahdieh Dibaj, Akbar A. Javadi, Mohammad Akrami, Kai-Yuan Ke, Raziyeh Farmani, Yih-Chi Tan, Albert S. Chen
HYDROGEOLOGY JOURNAL
(2020)