Search Results - "Kwon, Sangki"

Application of artificial intelligence to rock mechanics: An overview by Abiodun Ismail Lawal, Sangki Kwon

“…Different artificial intelligence (AI) methods have been applied to various aspects of rock mechanics, but the fact that none of these methods have been used…”
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Development of mathematically motivated hybrid soft computing models for improved predictions of ultimate bearing capacity of shallow foundations by Abiodun Ismail Lawal, Sangki Kwon

“…Ultimate bearing capacity (UBC) is a key subject in geotechnical/foundation engineering as it determines the limit of loads imposed on the foundation. The most…”
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Prediction of the blast-induced ground vibration in tunnel blasting using ANN, moth-flame optimized ANN, and gene expression programming by Lawal, Abiodun Ismail, Kwon, Sangki, Kim, Geon Young

“…The blast-induced ground vibration (BIGV) is a severe environmental impact of blasting as it can affect the integrity of the structures and cause civil unrest…”
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Blast-induced ground vibration prediction in granite quarries: An application of gene expression programming, ANFIS, and sine cosine algorithm optimized ANN by Lawal, Abiodun Ismail, Kwon, Sangki, Hammed, Olaide Sakiru, Idris, Musa Adebayo

“…Blasting of rocks has intrinsic environmental impacts such as ground vibration, which can interfere with the safety of lives and property. Hence, accurate…”
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Thermal-Hydraulic-Mechanical coupling analysis using FLAC3D-TOUGH2 for an in situ heater test at Horonobe underground research laboratory by Kwon, Sangki, Lee, Changsoo

“…It is an urgent issue in many countries utilizing nuclear energy to develop a safe disposal technique for heat-generating high-level radioactive waste (HLW)…”
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Numerical Investigation of Radial Strain-Controlled Uniaxial Compression Test of Äspö Diorite in Grain-Based Model by Chung, Jaehong, Lee, Hyeji, Kwon, Sangki

“…A complete stress–strain curve is difficult to obtain for Class II rocks because of the abrupt failure after peak stress. Although the servo-controlled loading…”
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Determination of blast-induced flyrock using a drone technology: a bibliometric overview with practical soft computing implementation by Lawal, Abiodun Ismail, Ojo, Oluwabankole Joseph, Kim, Minju, Kwon, Sangki

“…Flyrock is a dangerous environmental effect of blasting operations in mining/civil engineering. It has been reported to be the highest cause of an accident in…”
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A comparative application of the Buckingham π (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction by Lawal, Abiodun Ismail, Olajuyi, Seun Isaiah, Kwon, Sangki, Onifade, Moshood

“…Blast-induced ground vibration requires a great deal of consideration in the mining activity because of its effects on the surrounding infrastructure. The…”
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Development of soft computing based mathematical models for predicting mean fragment size coupled with their Monte Carlo simulation estimations by Lawal, Abiodun Ismail, Aladejare, Adeyemi Emman, Onifade, Moshood, Kwon, Sangki

“…Effective rock fragmentation is the main target of blasting operations in production blasting and is usually determined using empirical or image analysis…”
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Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach by Arthur, Clement Kweku, Bhatawdekar, Ramesh Murlidhar, Mohamad, Edy Tonnizam, Sabri, Mohanad Muayad Sabri, Bohra, Manish, Khandelwal, Manoj, Kwon, Sangki

“…Ground vibration is one of the most unfavourable environmental effects of blasting activities, which can cause serious damage to neighboring homes and…”
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Investigation of the development of an excavation damaged zone and its influence on the mechanical behaviors of a blasted tunnel by Park, Seunghun, Kim, Jin-Seup, Kwon, Sangki

“…An excavation damaged zone (EDZ) caused mainly by blasting is an important parameter for making reliable evaluations of the overall tunnel stability. Around a…”
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Reliability Assessment of Empirical Equations, ANN and MARS Models for Predicting the Mode I Fracture Toughness from Non-destructive Rock Properties by Lawal, Abiodun Ismail, Kwon, Sangki

“…Highlights Mode I fracture toughness is highly imperative in various rock mechanics applications. Machine learning models are proposed for accurate prediction…”
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Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling by Lawal, Abiodun Ismail, Kwon, Sangki, Onifade, Moshood

“…The prediction of penetration rate (PR) is a complex task which relies on several variables such as nature of rock and rock mass properties as well as…”
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A causality-weighted approach for prioritizing mining 4.0 strategies integrating reliability-based fuzzy cognitive map and hybrid decision-making methods: A case study of Nigerian Mining Sector by Hosseini, Shahab, Lawal, Abiodun Ismail, Kwon, Sangki

“…Nigeria's economy depends solely on crude oil with little attention to the agricultural and solid mineral sectors which were the major sources of revenue prior…”
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Prediction of an environmental impact of tunnel blasting using ordinary artificial neural network, particle swarm and Dragonfly optimized artificial neural networks by Lawal, Abiodun Ismail, Kwon, Sangki, Kim, Geon Young

“…Blasting is an intrinsic component of surface and underground excavation but it is associated with adverse environmental effects that can threaten the safety…”
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Thermo-mechanical Stability Analysis for a Multi-level Radioactive Waste Disposal Concept by Kwon, Sangki, Choi, Jong-Won

“…To dispose of the spent fuels generated from the Korean nuclear power plants in an underground repository, a large area of about 4 km2 is required. This could…”
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Prediction of factor of safety of slopes using stochastically modified ANN and classical methods: a rigorous statistical model selection approach by Lawal, Abiodun Ismail, Hosseini, Shahab, Kim, Minju, Ogunsola, Nafiu Olanrewaju, Kwon, Sangki

“…Different methods like limit equilibrium and soft computing-based methods are scattered in the literature for the prediction of the factor of safety (FoS) of…”
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Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization by Ismail Lawal, Abiodun, Onifade, Moshood, Kwon, Sangki, Khandelwal, Manoj

“…Expanding mining operations in goaf zones heightens gas production potential, posing challenges in maintaining adequate ventilation within development panels,…”
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Prediction of production rate of surface miner in coal mine: an application of single and ensemble machine learning methods by Lawal, Abiodun Ismail, Ogundipe, Olayemi Yinka, Kim, Minju, Kwon, Sangki

“…Surface miner is an eco-friendly excavation machine which is gradually replacing the traditional drilling and blasting method of excavation. Hence, accurate…”
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Prioritising the Experimental Procedures for Mode I Fracture Toughness Using Fuzzy Group Multi Criteria Decision Making (MCDM) Methods by Lawal, Abiodun Ismail, Ogunsola, Nafiu O., Ajeboriogbon, Aminat F., Onifade, Moshood, Kwon, Sangki

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