Theo dơi
Dookie Kim 김두기
Dookie Kim 김두기
Kongju National University; Kunsan National University
Email được xác minh tại - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Application of neural networks for estimation of concrete strength
JI Kim, DK Kim, MQ Feng, F Yazdani
Journal of Materials in Civil Engineering 16 (3), 257-264, 2004
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
RC Deo, P Samui, D Kim
Stochastic Environmental Research and Risk Assessment 30, 1769-1784, 2016
Baseline models for bridge performance monitoring
MQ Feng, DK Kim, JH Yi, Y Chen
Journal of Engineering Mechanics 130 (5), 562-569, 2004
Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO
N Kardani, A Bardhan, D Kim, P Samui, A Zhou
Journal of Building Engineering 35, 102105, 2021
Application of probabilistic neural networks for prediction of concrete strength
DK Kim, JJ Lee, JH Lee, SK Chang
Journal of Materials in Civil Engineering 17 (3), 353-362, 2005
Multiple tuned mass damper for multi-mode vibration reduction of offshore wind turbine under seismic excitation
M Hussan, MS Rahman, F Sharmin, D Kim, J Do
Ocean Engineering 160, 449-460, 2018
Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine
BG Aiyer, D Kim, N Karingattikkal, P Samui, PR Rao
KSCE Journal of Civil Engineering 18, 1753-1758, 2014
Time‐domain soil–structure interaction analysis in two‐dimensional medium based on analytical frequency‐dependent infinite elements
DK Kim, CB Yun
International Journal for Numerical Methods in Engineering 47 (7), 1241-1261, 2000
Analytical frequency-dependent infinite elements for soil–structure interaction analysis in two-dimensional medium
CB Yun, DK Kim, JM Kim
Engineering structures 22 (3), 258-271, 2000
Comparison of machine learning techniques to predict compressive strength of concrete
S Dutta, P Samui, D Kim
Comput. Concr 21 (4), 463-470, 2018
Modeling of nonlinear cyclic load behavior of I-shaped composite steel-concrete shear walls of nuclear power plants
A Ali, D Kim, SG Cho
Nuclear Engineering and Technology 45 (1), 89-98, 2013
Structural dynamics
DG Kim
Damping effects of the passive control devices on structural vibration control: TMD, TLC and TLCD for varying total masses
Y Bigdeli, D Kim
KSCE Journal of Civil Engineering 20, 301-308, 2016
Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression
S Kumar, B Rai, R Biswas, P Samui, D Kim
Journal of building engineering 32, 101490, 2020
Uplift capacity of suction caisson in clay using multivariate adaptive regression spline
P Samui, S Das, D Kim
Ocean Engineering 38 (17-18), 2123-2127, 2011
Utilization relevance vector machine for slope reliability analysis
P Samui, T Lansivaara, D Kim
Applied Soft Computing 11 (5), 4036-4040, 2011
Hybrid wireless smart sensor network for full-scale structural health monitoring of a cable-stayed bridge
H Jo, SH Sim, KA Mechitov, R Kim, J Li, P Moinzadeh, BF Spencer Jr, ...
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2011
An improved application technique of the adaptive probabilistic neural network for predicting concrete strength
JJ Lee, D Kim, SK Chang, CFM Nocete
Computational Materials Science 44 (3), 988-998, 2009
Nonlinear seismic soil-structure interaction analysis of nuclear reactor building considering the effect of earthquake frequency content
D Van Nguyen, D Kim, DD Nguyen
Structures 26, 901-914, 2020
GPS-structural health monitoring of a long span bridge using neural network adaptive filter
MR Kaloop, D Kim
Survey Review 46 (334), 7-14, 2014
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