Khanh Pham
International University, Cambodia
Porous mediumHeat exchangerSlope stability analysisConvectionGeothermal gradientBiot numberSeries (mathematics)GeologyEngineeringGroundwater flowSettlement (structural)Finite element methodTemperature gradientShieldMean squared errorF1 scoreConsolidation (soil)BoreholeArtificial intelligenceResidualConservation of massSoil scienceSoil waterBayesian inferenceOpen-loop controllerComputational fluid dynamicsPedotransfer functionHuman settlementCurrent (stream)Test setDiscrete element methodThermal conductionGeneralizationPattern recognitionMesh generationPoromechanicsBoundary value problemCurve fittingLandslideGeotechnical engineeringUpstream (networking)Materials scienceColloidal particlePredictabilityRefrigerantThermalRange (statistics)Scale (descriptive set theory)Ground heat exchangerDiscontinuity (linguistics)SubseaTunnel constructionThermal response testTransient (oscillation)Polygon meshExcavationMathematicsStability (probability)Environmental scienceWater tableSequence learningComputer scienceChemical engineeringEnsemble learningNumerical analysisComputer simulationHeat transferArtificial neural networkCompressible flowSlip (materials science)Early stoppingPearson product-moment correlation coefficientMechanicsReceiver operating characteristicParticle-size distributionMagnitude (mathematics)Hydraulic conductivityPorosityIntensity (heat transfer)Trough (meteorology)Logarithmic mean temperature differenceClassical mechanicsGroundwaterMechanical engineeringPetroleum engineeringThrustConjugate gradient methodCompressibilityFluid dynamicsThermal conductivityReduction (complexity)
14Publications
6H-index
68Citations
Publications 15
Newest
#1Khanh Pham (VNUHCM: Vietnam National University, Ho Chi Minh City)H-Index: 6
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 5 authors...
Accurately estimating the mechanical behavior of frozen soil plays a central role in frozen ground engineering. Owing to the nonlinear and uncertain nature, modeling the stress-strain behaviors of frozen soil has been challenging the physics-based models. This study proposed a data-driven approach on the Bayesian neural network (BNN) framework that can precisely estimate the stress-strain behaviors of frozen sand with minimum input requirements. First, a series of triaxial tests were conducted t...
Source
#1Khanh PhamH-Index: 6
#2Sangyeong ParkH-Index: 1
Last. Jongmuk WonH-Index: 6
view all 0 authors...
Predicting the frozen zone near the freezing pipe in artificial ground freezing (AGF) is critical in estimating the efficiency of the AGF technique. However, the complexity and uncertainty of many factors affecting the ground temperature cause difficulty in developing a reliable physical model for predicting the ground temperature. This study proposed a data-driven framework to accurately predict the ground temperature during the operation of AGF. Random forest (RF) and extreme gradient boosting...
Source
#2Dongku Kim (KU: Korea University)H-Index: 5
#3Sangyeong Park (KU: Korea University)H-Index: 1
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 4 authors...
Abstract In this study, ensemble learning was applied to develop a classification model capable of accurately estimating slope stability. Two prominent ensemble techniques—parallel learning and sequential learning—were applied to implement the ensemble classifiers. Additionally, for comparison, eight versatile machine learning algorithms were utilized to formulate the single-learning classification models. These classification models were trained and evaluated on the well-established global data...
7 CitationsSource
#1Dongseop Lee (Po: POSCO)H-Index: 1
#3Minkyu Kang (KU: Korea University)H-Index: 1
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 5 authors...
Abstract A stepwise discrete element-finite element (DE/FE) combined numerical framework was proposed for efficiently estimating the effective thermal conductivity of spherical particulate media, which considers the thermal interaction of particle-to-particle and particle-to-pore filling material. The particulate composition was numerically modeled by the discrete element method (DEM), which was followed by a series of heat-transfer analyses formulated in the finite element method (FEM). In orde...
Source
#1Dongku Kim (KU: Korea University)H-Index: 5
#3Sangyeong Park (KU: Korea University)H-Index: 1
Last. Hangseok ChoiH-Index: 19
view all 5 authors...
Tunnel excavation in shallow soft ground conditions of urban areas experiences inevitable surface settlements that threaten the stability of nearby infrastructures. Surface settlements during shield TBM tunneling are related to a number of factors including geotechnical conditions, tunnel geometry and excavation methods. In this paper, a database collected from a construction section of Hong Kong subway was used to analyze the correlation of settlement-inducing factors and surface settlements mo...
1 CitationsSource
#2Dongku Kim (KU: Korea University)H-Index: 5
#3Yuemyung Yoon (KU: Korea University)H-Index: 1
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 4 authors...
Abstract Approximate estimates employing the pedotransfer function (PTF) for predicting the soil-water characteristic curve have received general agreement among the geotechnical engineering society. Notably, the machine-learning-based PTFs (ML-PTFs) offer robust approaches with high prediction accuracy. This study analyzed the potential factors governing the prediction accuracy of the neural-network-based PTF (NN-PTF), which is one of the most popular ML-PTFs. Multiple analysis scenarios for th...
8 CitationsSource
#1Jongmuk Won (UOU: University of Ulsan)H-Index: 6
#2Dongseop Lee (KU: Korea University)H-Index: 8
Last. Hangseok ChoiH-Index: 19
view all 5 authors...
6 CitationsSource
#2Dongku Kim (KU: Korea University)H-Index: 5
#3In Mo Lee (KU: Korea University)H-Index: 20
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 4 authors...
4 CitationsSource
#2Dongku Kim (KU: Korea University)H-Index: 5
#3Hyun Jun Choi (KU: Korea University)H-Index: 4
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 5 authors...
Abstract This paper presents a simple numerical framework for infinite slope stability analysis under transient unsaturated seepage conditions. The advantage of the proposed framework, from the practical point of view, is to predict the variability in stability of partially saturated slope along with rainfall data. Moreover, the presented framework is adaptable to different types of soil-water characteristic curve (SWCC) models, hydraulic boundary conditions, and heterogeneity in soil properties...
18 CitationsSource
#2Hyobum Lee (KU: Korea University)H-Index: 4
#3Dongku Kim (KU: Korea University)H-Index: 5
Last. Hangseok Choi (KU: Korea University)H-Index: 19
view all 5 authors...
This paper examines the current procedure for determining the soil-water characteristic curve (SWCC) model with a particular focus on its application to slope stability analysis under transient unsaturated seepage conditions. A series of laboratory experiments was performed to determine the SWCC of different soils, ranging from high plasticity clay to silty sand, found across the Korean Peninsula. The experimental results were utilized to identify the suitable SWCC model for each soil type based...
7 CitationsSource