Article
Engineering, Geological
Athanasia D. Skentou, Abidhan Bardhan, Anna Mamou, Minas E. Lemonis, Gaurav Kumar, Pijush Samui, Danial J. Armaghani, Panagiotis G. Asteris
Summary: This study examined the use of three artificial neural network (ANN)-based models to predict the unconfined compressive strength (UCS) of granite using three non-destructive test indicators. The ANN-LM model, constructed using the Levenberg-Marquardt algorithm, was determined to be the most accurate. In the validation phase, the ANN-LM model achieved the best predictive performance with R = 0.9607 and RMSE = 14.8272. The developed ANN-LM model outperformed existing models and a graphical user interface (GUI) was developed for easy estimation of UCS using this model.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Review
Engineering, Geological
Yue Wang, Kai Gu, Hong-Sheng Wang, Bin Shi, Chao-Sheng Tang
Summary: Biochar has significant potential in the remediation of heavy-metal-contaminated soil. Its physico-chemical properties and remediation mechanisms are affected by various factors. Future research should focus on establishing uniform classification standards, exploring the efficiency of biochar in sites with multiple contaminants, and understanding the interactions between biochar and heavy metals in complex soil environments.
ENVIRONMENTAL GEOTECHNICS
(2022)
Article
Engineering, Environmental
Yi Xue, Jia Liu, P. G. Ranjith, Zhizhen Zhang, Feng Gao, Songhe Wang
Summary: This study conducted triaxial compression tests on coal under different gas pressure conditions to explore the influence mechanism of gas pressure on coal deformation, failure, and energy evolution. The mechanical properties, acoustic emission energy characteristics, and nonlinear characteristics of coal containing gas were obtained based on the test data. A theoretical formula for analyzing energy evolution was introduced and verified by test data. The research results indicate that energy rate can be used as a new effective mechanical parameter to analyze and predict the damage and failure characteristics of coal. The findings on energy dissipation characteristics and the defined ratio of dissipative energy rate and input energy rate provide insights for understanding the fracturing evolution and energy driving mechanism of coal.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Engineering, Geological
Jincheng Fang, Gangqiang Kong, Qing Yang
Summary: Energy piles, a type of dual-purpose heat exchanger, have gained attention due to increasing energy demand and carbon emissions. Cyclic and variable thermal loadings can affect the stress and settlement of energy pile groups.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2022)
Article
Engineering, Geological
Huajin Li, Yusen He, Qiang Xu, Jiahao Deng, Weile Li, Yong Wei
Summary: Landslides are catastrophic natural hazards that can cause loss of life, property damage, and economic disruption. In this study, an image-based two-phase data-driven framework is proposed for detecting and segmenting landslide regions using satellite images. This framework outperforms other benchmarking algorithms in accurately segmenting landslides.
Article
Engineering, Geological
Dan Ma, Hongyu Duan, Jixiong Zhang, Xianwei Liu, Zhenhua Li
Summary: A one-dimensional radial three-phase flow model of water-rock-silt was established to investigate the hydraulic characteristics of fault rock during water-silt inrush. The accuracy of the proposed model was verified through laboratory tests and the temporal-spatial distribution of hydraulic properties was obtained.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Engineering, Geological
Wengang Zhang, Hongrui Li, Liang Han, Longlong Chen, Lin Wang
Summary: This study develops an ensemble learning-based method using random forest and extreme gradient boosting to predict slope stability. The predictive performance is compared among different models using 786 landslide cases in Yunyang County, China. The results demonstrate the superiority of ensemble learning models in slope stability prediction.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2022)
Article
Engineering, Geological
Kok-Kwang Phoon, Jianye Ching, Takayuki Shuku
Summary: Data-driven site characterisation, relying solely on measured data for site description, is crucial for industries undergoing rapid digital transformation. Challenges include data quality, accuracy, and practicality in application.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Peng Hou, Yi Xue, Feng Gao, Fakai Dou, Shanjie Su, Chengzheng Cai, Caihui Zhu
Summary: In this study, the effects of liquid nitrogen cooling on the internal structure of coal and the mechanical properties and fracture morphology of bedding coal were investigated. The results showed that LN2 cooling damaged the micro-structure of coal and reduced its mechanical properties, with the degree of weakening dependent on the bedding direction. Additionally, LN2 cooling increased the ductility of coal and induced longer and more complex fractures.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2022)
Article
Engineering, Civil
Cheng Fang, Yiwei Ping, Yiyi Chen, M. C. H. Yam, Junbai Chen, Wei Wang
Summary: This study introduces a novel hybrid self-centering system that aims to overcome critical shortcomings found in existing solutions. By incorporating shape memory alloy elements and integrated viscoelastic dampers, the system effectively controls peak and residual deformation, as well as floor acceleration. The study also conducts a parametric analysis and provides design recommendations, along with proposing a probability-based residual deformation prediction model.
JOURNAL OF EARTHQUAKE ENGINEERING
(2022)
Article
Engineering, Geological
Jian Zhou, Shuangli Zhu, Yingui Qiu, Danial Jahed Armaghani, Annan Zhou, Weixun Yong
Summary: In this study, a model named WOA-SVM was proposed to accurately predict tunnel squeezing by optimizing the support vector machine (SVM) model. The optimized WOA-SVM model showed the highest accuracy among all proposed models, and the percentage strain was identified as the most influential parameter for the model.
Article
Engineering, Geological
Reza Sarkhani Benemaran, Mahzad Esmaeili-Falak, Hooshang Katebi
Summary: This paper presents the results of experimental and numerical models for the behavior of isotropic and anisotropic pile-stabilized sandy slopes under surcharge loads. The aim is to determine the optimal arrangement of pile rows about factors influencing the response.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING
(2022)
Article
Engineering, Geological
Qiang Feng, Jichao Jin, Shuang Zhang, Weiwei Liu, Xuxu Yang, Weiteng Li
Summary: The study found that with an increasing number of freeze-thaw cycles, the elastic modulus, peak strength and wave velocity of yellow sandstones gradually decrease, while the peak strain and porosity increase. An energy evolution law with different freeze-thaw cycles was analyzed, a freeze-thaw damage model was established, and a functional relationship between mesoscopic parameters and freeze-thaw cycles was formulated.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Engineering, Geological
Mingzhong Gao, Haichun Hao, Shouning Xue, Tong Lu, Pengfei Cui, Yanan Gao, Jing Xie, Bengao Yang, Heping Xie
Summary: This study uses three-dimensional dynamic scanning technology to reconstruct the fracture morphology of disced cores and investigates the roughness of their surfaces. A parametric system is developed for the quantitative study of core integrity. The mechanisms and characteristics of fractures along stress paths are also explored. The findings show that shallow cores have notable saddle-shaped coarse fractures while deep cores exhibit thicker discs and smoother fracture surfaces.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Yongsheng Yao, Jue Li, Junjun Ni, Chenghao Liang, Anshun Zhang
Summary: The study found that gravel shape has a greater impact on the shear strength of soil-rock mixture (SRM) than gravel content, and the discrete element method can accurately predict the mechanical properties and deformation behavior of the material. As gravel content increases, the contribution of contact force within gravel particles increases, and the interlocking work has a nonlinear positive correlation with the increase of sphericity.
COMPUTERS AND GEOTECHNICS
(2022)
Review
Computer Science, Interdisciplinary Applications
Shui-Hua Jiang, Jinsong Huang, D. Griffiths, Zhi-Ping Deng
Summary: The spatial variability of soil properties has been largely overlooked in traditional slope stability analyses. However, in the past two decades, an increasing number of research papers have focused on explicitly modeling this variability. The first phase of research primarily emphasized the importance of including spatial variability in probabilistic slope stability analysis, while the second phase witnessed rapid developments in quantitative risk assessment, computational efficiency improvement, and the utilization of site investigation and field monitoring data. This review aims to summarize these advances to guide future research directions.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Engineering, Geological
Liangkun Wang, Weixing Shi, Ying Zhou
Summary: The study applied an adaptive-passive eddy current pendulum TMD (APEC-PTMD) to address the frequency detuning issue of traditional TMDs, which can adapt to the structural dominant frequency in buildings with different soil types and has better aseismic protection effect.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
Article
Engineering, Civil
Cheng Fang, Dong Liang, Yue Zheng, Shiyuan Lu
Summary: The study introduces a novel type of SMA-HDR bearing with efficient restraint effect and energy dissipation capability, suitable for near-fault earthquake regions. The bearing design can significantly reduce bridge vibrations, mitigate potential seismic damage, and effectively alleviate pounding effect.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2022)
Article
Engineering, Geological
Hania Miraki, Nader Shariatmadari, Pooria Ghadir, Soheil Jahandari, Zhong Tao, Rafat Siddique
Summary: This research explored the potential of using alkali-activated ground granulated blast furnace slag (GGBS) and volcanic ash (VA) as green binders in clayey soil stabilization projects. The results demonstrated that the coexistence of GGBS and VA in geopolymerization process was more effective, resulting in better performance against wet-dry and freeze-thaw cycles. Additionally, the alkali-activated mixtures showed low carbon footprints.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2022)
Article
Engineering, Geological
Kok-Kwang Phoon, Wengang Zhang
Summary: This paper introduces the application of machine learning in geotechnical engineering and proposes a data-centric agenda for geotechnics. It highlights the importance of data-driven site characterization and identifies challenges such as ugly data and explainable site recognition.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
