Article
Computer Science, Interdisciplinary Applications
Hongquan Guo, Hoang Nguyen, Xuan-Nam Bui, Danial Jahed Armaghani
Summary: A new technique, SVRs-GLMNET, was proposed to accurately predict the distance of fly-rock in open-pit mines by combining SVR models and a GLMNET model. The study divided the dataset into training, validating, and testing sets, ultimately showing that SVRs-GLMNET outperformed other models in predicting fly-rock distance.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Geological
Dongqiang Liu, Dong Wei, Ming Chen, Hong Zhang, Wenbo Lu
Summary: This study establishes a plane analysis model for bench blasting in vertically inclined rock mass and successfully predicts the fragmentation pattern in bench blasting. A new method for predicting median fragmentation is proposed based on numerical simulation and field tests.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Chengyu Xie, Hoang Nguyen, Xuan-Nam Bui, Yosoon Choi, Jian Zhou, Thao Nguyen-Trang
Summary: Four intelligent models were proposed in this study to predict the size of rock distribution in mining blasting, with the FFA-GBM model providing the highest accuracy. The combination of nature-inspired and machine learning algorithms is effective in optimizing blasting parameters and improving blasting efficiency in open mines.
GEOSCIENCE FRONTIERS
(2021)
Article
Engineering, Geological
Thomas Bamford, Kamran Esmaeili, Angela P. Schoellig
Summary: The study demonstrates that deep learning strategies can accurately predict characteristic sizes of rock fragments from 2D images, with a lower mean percent error compared to traditional methods. Training and testing data sets show that deep neural networks can be effective in rock fragmentation analysis in mining operations.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Natalia Koteleva, Sergei Khokhlov, Ilia Frenkel
Summary: Mining enterprises are increasingly adopting digital technologies, with automation playing a key role. This article introduces an approach to estimate not only the size distribution but also the form distribution of rock mass lumps, with experiments conducted to investigate the effectiveness of this monitoring method.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Hong-Liang Tang, Xin Liu, Jun Yang, Qi Yu
Summary: Delay time is an important factor in bench blasting that can be controlled by electronic detonators. Research shows that increasing delay time leads to a shift from horizontal crack dominance to vertical crack dominance in rock fragmentation. When determining the optimum delay time in multi-hole blasting, factors such as stress wave interaction and crack propagation should be considered.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Chemical
Zhixian Hong, Ming Tao, Xudong Li, Huatao Zhao, Mingsheng Zhao
Summary: Decoupled charge blasting plays a pivotal role in tunnel contour excavation by reducing overbreak/underbreak and excavation damaged zone, thus enhancing safety and efficiency. This study experimentally investigates the influences of different filling mediums on blasting performances and finds that water-decoupled blasting produces the best fragmentation and crater, while air-decoupled blasting is the least effective.
Article
Energy & Fuels
Xudong Li, Kewei Liu, Yanyan Sha, Jiacai Yang, Zhixian Hong
Summary: This study numerically investigates the blast-induced rock fragmentation under different stemming conditions using combined numerical modelling and image processing. The results show that the blast-created fragment size decreases with an increase in stemming length, a decreasing in air/sand deck length, replacement of top stemming with bottom stemming and alteration of air deck to sand deck, while the FSD range exhibits the opposite tendency. Bottom stemming is recommended for practical blasting due to its efficiency in rock fragmentation and robustness with respect to stemming length.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2023)
Article
Engineering, Environmental
Ming Chen, Dong Wei, Changping Yi, Wenbo Lu, Daniel Johansson
Summary: This study establishes a multiple degrees-of-freedom structural dynamics analytical model to analyze the influence mechanism of different factors on blasting tight bottom and shape of muckpile. The results show that explosive load strength, blasting parameters, and geological conditions play crucial roles in determining the internal forces and deformation of the bench rock mass, which ultimately affect the blasting effect and the formation of tight bottom. Adjusting initiation points and strengthening lithology can improve blasting outcomes.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Chemistry, Multidisciplinary
Dong Wei, Ming Chen, Wenbo Lu, Zhihua Wang
Summary: The shape of a free surface plays a crucial role in bench blasting effects. By applying the structural dynamics theory, a structural failure model of layered rock considering the impact of blasting gas intrusion was established. The study found that different dip angles of rock strata result in varying structural failure characteristics, with dipping-in-face stratum showing stronger bending failure characteristics.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Qiancheng Fang, Hoang Nguyen, Xuan-Nam Bui, Trung Nguyen-Thoi, Jian Zhou
Summary: This paper introduces a new soft computing model FFA-BGAM for accurately modeling rock fragmentation using a firefly algorithm to optimize the BGAM model. Compared to other soft computing models, FFA-BGAM shows higher accuracy in predicting rock size distribution.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Chao Liu, Lei Wu, Wensheng Xiao, Guangxin Li, Dengpan Xu, Jingjing Guo, Wentao Li
Summary: In this study, a novel variant of ant colony optimization algorithm called improved heuristic mechanism ACO (IHMACO) is proposed. It contains four improved mechanisms to enhance the efficiency and effectiveness of path planning. Experimental results show that IHMACO outperforms existing approaches in terms of path turn times.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Engineering, Geological
Zong-Xian Zhang, Li Yuan Chi, Qingbin Zhang
Summary: The paper presents four model blasts with high-speed photography. The study indicates that the placement of rock specimens in model blasting has a significant impact on the efficiency of the blasting process.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Xudong Li, Kewei Liu, Yanyan Sha, Jiacai Yang, Ruitao Song
Summary: In this study, rock fragmentation induced by blasting using decoupled charge was investigated using finite element modelling and image-processing. The results showed that decreasing the decoupling ratio resulted in smaller rock fragments and narrower fragmentation size distribution. Additionally, changing the coupling medium from air to water and altering the decoupled charge mode from radial to axial also led to smaller fragment sizes and narrower fragmentation size distribution.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
Jose A. Sanchidrian, Pablo Segarra, Finn Ouchterlony, Santiago Gomez
Summary: The study measures the fragmentation of full-scale one-row blasts and constructs fragment size distribution curves. It finds that the fragmentation-energy fan model can effectively predict fragment sizes. The study also explores the influence of powder factor, delay, and blasted block size on fragmentation.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Quoc-Hoa Pham, Phu-Cuong Nguyen, Trung Thanh Tran, Trung Nguyen-Thoi
Summary: This paper proposes a finite element method for the free vibration analysis of a sandwich nanoplate with an auxetic honeycomb core. The method uses a nonlocal elasticity theory and a shear deformation theory without shear correction factors, and it is applicable to sandwich nanoplates with negative Poisson's ratio.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Civil
H. S. Naveen Kumar, Subhaschandra Kattimani, Flavio D. Marques, T. Nguyen-Thoi, Mehdi Shariati
Summary: This research investigates the geometrically nonlinear behavior of functionally graded saturated porous material (FGSPM) plate under undrained conditions. The refined shear deformation plate theory (RSDPT) is used to model the FGSPM plate with von Karman's nonlinearity, and Biot's linear poroelasticity theory is applied to establish the constitutive equations. The results show that the saturated fluid significantly affects the nonlinear deflection and vibration behavior of the FGSPM plate.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Computer Science, Artificial Intelligence
Thao Nguyen-Trang, Trung Nguyen-Thoi, Kim-Ngan Nguyen-Thi, Tai Vo-Van
Summary: This paper proposes a technique to apply a metaheuristic optimization algorithm for solving the balance-driven automatic clustering problem of probability density functions (CDF). The proposed method can automatically determine the number of clusters and approximate the global optimal solution, considering both the clustering compactness and the clusters' size similarity. Experimental results on one-dimensional and multidimensional probability density functions demonstrate that the new method outperforms conventional techniques in providing higher quality clustering solutions.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Thao Nguyen-Trang, Trung Nguyen-Thoi, Tai Vo-Van
Summary: Clustering for probability density functions (CDF) can be divided into non-fuzzy and fuzzy approaches. A new clustering algorithm called DE-AFCF is proposed to solve the fuzzy CDF problem by using Gaussian prototype and a new objective function. This method can automatically determine the number of clusters k and consider both clustering compactness and separation.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Son H. Nguyen, Nguyen N. Nam, Tien-Dat Hoang, Tan N. Nguyen, T. Nguyen-Thoi
Summary: This paper proposes a simple and efficient method called aARS-Poly for alpha assumed rotations and shear strains in polygonal plate elements. The method applies an alternative assumption of tangent rotations along element boundaries based on Timoshenko's beam theory, and scales up the quadratic term of the assumed field using a positive scaling factor. Through numerical experiments, a general-fixed value of 0.5 achieves optimal relative errors in the energy norm. The aARS-Poly element using this value passes all critical tests and ensures orientation independence, solution stability, and free shear-locking. The method can be implemented straightforwardly for arbitrary convex-shaped polygonal meshes. Numerical results demonstrate high reliability and optimal results in static and free vibration analyses.
COMPUTERS & STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Zing L. T. Tran, Tam T. Truong, T. Nguyen-Thoi
Summary: This study proposes a new method called DNN-DE, which combines deep neural networks (DNN) with differential evolution (DE), for optimizing the frequency of laminated functionally graded carbon nanotube (FG-CNT)-reinforced composite quadrilateral plates under free vibration. The DNN is used to predict the objective and constraints, replacing the time-consuming finite element analysis (FEA) procedures, while the DE acts as an optimizer. Numerical examples are provided to demonstrate the performance of the proposed method, and the results are compared with those obtained by other methods to verify its reliability and effectiveness. The study also investigates the influence of various parameters on the optimal results, such as boundary conditions, CNT volume fraction, and CNT distribution.
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
(2023)
Article
Engineering, Industrial
Hoang Nguyen, Xuan-Nam Bui, Erkan Topal
Summary: This study develops three intelligent models, SpaSO-ELM, MFO-ELM, and SalSO-ELM, based on metaheuristic algorithms and ELM model, to predict the ground vibration intensity in mine blasting. These models demonstrate high reliability and accuracy in predicting peak particle velocity (PPV) and can ensure the safety of the surroundings in open-pit mines.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Civil
Duy-Khuong Ly, Vinyas Mahesh, Chanachai Thongchom, T. Nguyen-Thoi
Summary: This study proposes an advanced cell-based smoothed discrete shear gap method (CS-DSG3) using zig-zag theory integrated with a hybrid control mechanism for analysis of smart damping control of laminated functionally graded carbon nanotube reinforced composite (FG-CNTRC) shell structures. The study successfully combines CS-DSG3 with zig-zag theory to provide an effective global-local numerical approach for analyzing the behavior of laminated FG-CNTRC shell structures.
THIN-WALLED STRUCTURES
(2023)
Article
Engineering, Civil
Quoc-Hoa Pham, Parviz Malekzadeh, Van Ke Tran, Trung Nguyen-Thoi
Summary: In this study, a two-node beam element enriched based on the Lagrange and Hermite interpolation function is proposed to solve the governing equation of a functionally graded porous (FGP) curved nanobeam on an elastic foundation in a hygro-thermo-magnetic environment. The material properties of curved nanobeams change continuously along the thickness via a power-law distribution, and the porosity distributions are described by an uneven porosity distribution.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING
(2023)
Article
Automation & Control Systems
Tam T. Truong, Jaehong Lee, T. Nguyen-Thoi
Summary: Most previous studies on damage detection in civil engineering structures have focused on either element damage detection or joint damage detection, separately. This study proposes an effective data-driven approach using an attention based convolutional gated recurrent unit network (ACGRU) for real-time damage detection of both joint and element in frame structures.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Construction & Building Technology
Nguyen-Minh Toan, Bui-Ngoc Tram, Jim Shiau, Tan Nguyen, Nguyen-Thoi Trung
Summary: This paper presents a novel approach for the stability evaluation of rectangular tunnels in undrained clay during lining process. By adopting isogeometric analysis and upper bound limit analysis, the tunnel geometry can be accurately represented using B-spline surfaces. The upper bound limit analysis is formulated as a second-order cone program, which can be solved using a numerical optimization algorithm. The proposed approach is validated and found to be accurate and reliable through comparisons with previous studies. Additionally, a deep learning model is trained to further enhance the accuracy and precision of the results.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Environmental Sciences
Hoang Nguyen, Yosoon Choi, Masoud Monjezi, Nguyen Van Thieu, Trung-Tin Tran
Summary: This study focuses on addressing the complexity inherent in various components of blast-induced ground vibration (BIGV) and presents an enhanced nonlinear intelligent system for accurate prediction. The hybrid EO-ANFIS model emerges as the most accurate among the multiple artificial intelligence models explored.
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT
(2023)
Proceedings Paper
Engineering, Environmental
Van-Duc Nguyen, Chang-Woo Lee, Xuan-Nam Bui, Pham Van Chung, Quang-Tuan Lai, Hoang Nguyen, Tran Thi Huong Hue, Van-Trieu Do, Ji-Whan Ahn
Summary: At COP26, more than 190 world leaders gathered to address climate change. Vietnam's Government committed to achieving net-zero carbon emissions by 2050. To achieve this goal, Vietnam needs to focus on low-carbon sustainable development technologies, with CCUS technology being a suitable option.
ADVANCES IN GEOSPATIAL TECHNOLOGY IN MINING AND EARTH SCIENCES
(2023)
Proceedings Paper
Engineering, Environmental
Xuan-Nam Bui, Chang Woo Lee, Hoang Nguyen
Summary: This paper introduces a state-of-the-art technology for modeling and controlling dust concentration from blasting operations in open-pit mines. Smart sensors mounted on an unmanned aerial vehicle were used to measure dust concentration in real-time, and meteorological conditions were taken into account. An artificial intelligence model, namely adaptive neuro-fuzzy inference system (ANFIS), was developed using the dataset to forecast PM10 concentration in the quarry. The results showed that the ANFIS model achieved a high accuracy (around 90%) and can be used to evaluate and control the air quality in the entire quarry.
ADVANCES IN GEOSPATIAL TECHNOLOGY IN MINING AND EARTH SCIENCES
(2023)
Article
Engineering, Multidisciplinary
Duy-Khuong Ly, Ho-Nam Vu, Chanachai Thongchom, Nguyen-Thoi Trung
Summary: This paper presents a novel numerical approach for nonlinear analysis and smart damping control in laminated functionally graded carbon nanotube reinforced magneto-electro-elastic (FG-CNTMEE) plate structures, taking into account multiple physical fields. The approach employs a multi-physical coupling isogeometric formulation to accurately capture the nonlinear strain-displacement relationship and the magneto-electro-elastic coupling properties. The smart constrained layer damping treatment is applied to achieve nonlinear damped responses. The formulation is transformed into the Laplace domain and converted back to the time domain through inverse techniques for smart control using viscoelastic materials.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2024)