Article
Engineering, Civil
Chuanqi Li, Jian Zhou, Danial Jahed Armaghani, Xibing Li
Summary: The study introduced a new predictive method for evaluating pillar stability by considering the geological strength index of hard rock pillars. Sensitivity analysis identified the key factors influencing pillar stability, while Monte Carlo simulation results highlighted the impact of GSI on pillar stability.
Article
Geochemistry & Geophysics
Youssef Toubri, Isabelle Demers, Andree Poirier, Genevieve Pepin, Marie-Christine Gosselin, Nicholas A. Beier
Summary: Three-dimensional geological modeling is an efficient tool for visualizing ore body features and can be repurposed for mine waste management. Adequate datasets are essential to ensure quality and resolution in this process.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2021)
Article
Engineering, Geological
G. Walton, S. Sinha
Summary: Pillars play a critical role in underground mining systems, with their mechanics depending on hardness and confinement. This study re-evaluates the pillar mechanics database, revealing a nonlinear relationship between pillar strength and UCS.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Marcin Kaminski, Rafal Blonski
Summary: The main aim of this paper is to propose a new reliability index for steel structure assessment and verify it using the example of a Pratt truss girder. Structural analysis is conducted using the finite element method and probabilistic analysis is implemented in computer software. The results show that the new index has a high applicability with suitable input conditions.
APPLIED SCIENCES-BASEL
(2022)
Article
Geosciences, Multidisciplinary
Alexander Schaaf, Miguel de la Varga, Florian Wellmann, Clare E. Bond
Summary: This paper introduces a method to incorporate geological information into probabilistic geomodeling using the open-source software GemPy. By checking simulated geomodel realizations against topology information without specifying a likelihood function, the method demonstrates the feasibility of constraining and improving probabilistic geomodel ensembles with reduced uncertainty.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Chemistry, Physical
Philipp Hoellmer, A. C. Maggs, Werner Krauth
Summary: Event-chain Monte Carlo algorithms for hard-disk dipoles in two dimensions are benchmarked for potential applications in modeling water molecules. The rotation dynamics of dipoles are characterized through integrated autocorrelation times of polarization. The non-reversible event-driven ECMC algorithms show significant speedups compared to the Metropolis algorithm, with differences in speed observed among ECMC variants, indicating Newtonian ECMC as a promising solution for overcoming dynamical arrest in dipolar models with Coulomb interactions.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Construction & Building Technology
Hoang-Quan Nguyen, Bao-Viet Tran, Thai-Son Vu
Summary: This paper develops a new numerical model for evaluating the flexural damage behavior of pervious concrete. By using the phase field method and a Monte Carlo simulation, the failure process of pervious concrete is successfully modeled, and the influence of pore structure on peak load is studied.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Mechanics
Hakan Kaygusuz, F. Bedia Erim, A. Nihat Berker
Summary: By adjusting the ratio between molecular interactions and electric field strength, a modular electroosmotic flow can be achieved for separations.
Article
Mathematics, Applied
Alexander D. Gilbert, Robert Scheichl
Summary: This paper presents an efficient multilevel quasi-Monte Carlo (MLQMC) algorithm for computing the expectation of the smallest eigenvalue of an elliptic eigenvalue problem with stochastic coefficients. The algorithm combines multiple strategies, including multilevel variance reduction, quasi-Monte Carlo methods, reuse of eigenvector, and a two-grid discretization scheme, to accelerate the approximation process.
IMA JOURNAL OF NUMERICAL ANALYSIS
(2023)
Article
Environmental Sciences
A. Lenci, Y. Meheust, M. Putti, V Di Federico
Summary: The hydraulic behavior of fractured rocks under shear-thinning flow is studied using stochastic analysis via Monte Carlo simulations. The study shows that the rheology of the fluid and the heterogeneity of the fracture dimensions have a strong influence on flow and transport processes.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Jingbo Zhao, Zhichao Zhou, Ju Wang, Ruili Ji, Ming Zhang, Jiebiao Li
Summary: This study developed stochastic inverse models of site-scale groundwater flow to generate highly parameterized hydraulic conductivity fields for the fractured medium. By conditioning to fixed pilot points, the hydraulic conductivity fields near the boreholes were characterized in detail, and it was found that the surrounding rock at the high-level radioactive waste (HLW) disposal zone had low permeability.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Geological
D. G. Wessels, D. F. Malan
Summary: This study used a limit equilibrium model to simulate the time-dependent scaling of hard rock pillars. The study found that extensive scaling occurs in pillars with a high joint density in manganese mines in South Africa. Contrary to expectations, the study found that almost no additional scaling was recorded during a 3-month monitoring period. Numerical simulations using a displacement discontinuity code and a limit equilibrium constitutive model showed that the decay of rock mass strength at the edges of pillars qualitatively matches the observed underground behavior.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Materials Science, Ceramics
Yoshito Ikarashi, Toshio Ogasawara, Shin-ichi Okuizumi, Takuya Aoki, Ian J. Davies, Jacques Lamon
Summary: This study evaluated the tensile strength distributions of five types of silicon carbide fibers using monofilament and multifilament tow tensile testing methods. The Weibull parameters were estimated and compared between the two methods. The results showed similar Weibull scale parameters for both methods, but the Weibull shape parameter obtained from multifilament tow testing tended to be greater. Monte-Carlo simulations were conducted to investigate the effect of diameter variation within individual fibers on the multifilament tow test results, and the simulation results showed good agreement with the monofilament test results.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2022)
Article
Chemistry, Physical
Isaac Torres-Diaz, Rachel S. Hendley, Akhilesh Mishra, Alex J. Yeh, Michael A. Bevan
Summary: This study investigates the relationship between the phases of two-dimensional convex hard superellipse particles and particle shape parameters through computer simulations. By analyzing various shapes including disks, ellipses, squares, rectangles, and rhombuses, as well as shapes with non-uniform curvature, the researchers identify key shape properties that determine liquid crystal and crystalline phases. The results provide design rules for particle shapes to achieve specific two-dimensional microstructures.
Article
Mechanics
Shirui Zhang, Shili Qiu, Quan Jiang, Ben Wang, Xunjian Hu, Hao Zhang
Summary: This study simulated the failure characteristics of heterogeneous rock pillars under different loading system stiffness using the combined finite-discrete element method (FDEM), and proposed an empirical index for evaluating the degree of rock failure.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Geological
Jian Zhou, Yong Dai, Shuai Huang, Danial Jahed Armaghani, Yingui Qiu
Summary: This paper develops six machine learning algorithms optimized by the sparrow search algorithm for specific energy (SE) prediction in roadheader excavation. The results show that cutting depth, uniaxial compressive strength of the rock, and tensile strength of the rock are the most significant input variables for SE prediction.
Article
Chemistry, Physical
Shuliang Dong, Hongchao Ji, Jian Zhou, Xianzhun Li, Lan Ding, Zhenlong Wang
Summary: Micro-liquid floated gyroscopes are widely used in military applications. However, the machining of micro-ball sockets in beryllium copper alloy is challenging due to its excellent properties. In this study, we developed a method for milling micro-ball sockets in C17200 beryllium copper alloy using micro-electrical discharge machining, achieving high precision by optimizing the machining parameters. This method provides a new way to fabricate micro-ball sockets in C17200 with high efficiency for micro-liquid floated gyroscopes.
Article
Chemistry, Physical
Xiancheng Mei, Zhen Cui, Qian Sheng, Jian Zhou, Chuanqi Li
Summary: This study improves the pelican optimization algorithm (POA) by incorporating the Latin hypercube sampling (LHS) method and chaotic mapping (CM) method to optimize the random forest (RF) model. The improved model successfully predicts the seismic performance of a novel aseismic rubber-concrete material in tunnel engineering. The results show that the LHSPOA-RF model outperforms other models in predicting the strength and energy absorption properties of the material, and the rubber and cement are identified as the most important parameters for these properties.
Article
Biophysics
Lanlan Qin, Gaobo Yu, Jian Zhou
Summary: Large-scale simulations were conducted to explore the formation of protein coronas, which are formed by proteins and nanomaterials. The study investigated the effects of protein concentration, size of silica nanoparticles, and ionic strength on the formation of lysozyme-SNP coronas. The findings provide insights into the formation of protein coronas and valuable guidelines for developing novel biomolecule-NP conjugates.
Article
Engineering, Geological
Helong Gu, Xingping Lai, Ming Tao, Wenzhuo Cao, Zhengkai Yang
Summary: The porosity of water-saturated coal greatly affects its dynamic response and the safety of coal mine engineering in water-rich areas. Dynamic tests were conducted on coal specimens with different porosities, and it was found that the dynamic mechanical properties are nonlinearly positively correlated with porosity. The sensitivity to porosity decreases as porosity increases. The effects of porosity on the meso-deterioration and macroscopic mechanical properties of coal were further investigated, and conditions and methods for improving the dynamic stability of water-saturated coal with different porosities were proposed.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Geological
Zilong Zhou, Peiyu Wang, Xin Cai, Wenzhuo Cao
Summary: Water infusion can decrease the rock-burst proneness of water-bearing sandstone.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Chemistry, Physical
Peixi Yang, Chuanqi Li, Yingui Qiu, Shuai Huang, Jian Zhou
Summary: This study utilized three meta-heuristic optimization algorithms to select the optimal hyperparameters of the random forest model for predicting the punching shear strength of FRP-RC beams. The ALO-RF model with a population size of 100 showed the best prediction performance, and adjusting the slab's effective depth effectively controlled the punching shear strength. Furthermore, the hybrid machine learning model optimized by metaheuristic algorithms outperformed traditional models in terms of prediction accuracy and error control.
Article
Engineering, Geological
Rui Zhao, Ming Tao, Wenzhuo Cao, Kun Du, Jianbo Zhu
Summary: This study investigates the mechanical properties and failure characteristics of rock spheres under paired point loads using analytical, experimental, and numerical methods. The results show that with increasing sample size, the contact angle, crushed area, and total work increase.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Jian Zhou, Yong Dai, Ming Tao, Manoj Khandelwal, Mingsheng Zhao, Qiyue Li
Summary: In this research, a novel intelligent model based on random forest algorithm and salp swarm algorithm has been developed to predict the mean cutting force of conical picks. The model demonstrates higher accuracy and reliability compared to other prediction tools.
RESULTS IN ENGINEERING
(2023)
Article
Engineering, Civil
Jiamin Zhang, Daniel Dias, Chuanqi Li
Summary: In this study, an intelligence approach combining the white shark optimizer and the logistic chaotic mapping was proposed to optimize the random forest model for predicting the load transfer efficiency of a single footing over rigid inclusion-reinforced soft soils. Through the investigation of seven variables, it was found that the thickness of the load transfer platform is the most important variable for predicting the load transfer efficiency.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Tingting Zhang, Lu An, Daniel Dias, Julien Baroth, Chuanqi Li
Summary: In this study, a sample-wised probabilistic approach SPAA based on the Atom Search Optimization (ASO)-Artificial Neural Network (ANN) model is proposed to analyze the stability of circular shafts considering soil parameter variabilities. The results indicate that the proposed SPAA outperforms the existing methods, requiring fewer deterministic simulations with guaranteed results accuracy, particularly for high-dimensional cases.
ENGINEERING STRUCTURES
(2023)
Article
Chemistry, Multidisciplinary
Hai Yu, Lanlan Qin, Jian Zhou
Summary: This study used molecular dynamics simulations to investigate the effect of oil polarity on the orientation and conformation of proteins at oil-water interfaces. It was found that the oil polarity can influence the protein adsorption orientation and conformation by modulating intermolecular interactions. Therefore, the stability and activity of proteins can be regulated by changing the oil polarity.
Article
Engineering, Geological
Xiancheng Mei, Chuanqi Li, Zhen Cui, Qian Sheng, Jian Chen, Shaojun Li
Summary: This study aims to predict the energy absorption property of a novel aseismic concrete material made of rubber, sand and cement. Various hybrid prediction models, including metaheuristic optimization algorithms and a random forest model, were developed and tested. The TSA-RF model demonstrated the best performance in predicting the energy transmission rate (ETR) of the concrete material, with cement being identified as the most important parameter for ETR prediction. This study provides a feasible application of artificial intelligence in ETR prediction and offers a novel idea for the development of aseismic materials in tunnel engineering.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2023)
Article
Engineering, Civil
Jian Zhou, Yuxin Chen, Chuanqi Li, Yingui Qiu, Shuai Huang, Ming Tao
Summary: Accurate prediction of tunnel wall convergence was achieved by utilizing six popular and reliable machine learning models and 142 sets of highway tunnel convergence data. The JSO-RF model demonstrated superior predictive performance and identified phi rm, Erm, and H as important input variables.
TRANSPORTATION GEOTECHNICS
(2023)
Article
Energy & Fuels
Minghui Liu, Xinyao Luo, Ruiyang Bi, Jian Zhou, Kun Du
Summary: A series of uniaxial compression tests were conducted on bedded limestone, phyllite, and shale specimens to investigate their mechanical behavior and crack evolution properties. The experimental results showed that the mechanical properties of bedded rocks were greatly influenced by the cementation types of bedding planes. A novel strength criterion for bedded rocks and a crack classification criterion were proposed.
GEOMECHANICS FOR ENERGY AND THE ENVIRONMENT
(2023)
