| 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 | 141 | 2004 |
| Baseline models for bridge performance monitoring MQ Feng, DK Kim, JH Yi, Y Chen Journal of Engineering Mechanics 130 (5), 562-569, 2004 | 93 | 2004 |
| 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 | 80 | 2005 |
| 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 (6), 1769-1784, 2016 | 78 | 2016 |
| 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 | 67 | 2000 |
| 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 | 59 | 2000 |
| 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 | 49 | 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 | 49 | 2011 |
| Structural dynamics DG Kim | 45 | 2005 |
| 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 | 40 | 2009 |
| 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 (6), 1753-1758, 2014 | 39 | 2014 |
| Application of probabilistic neural network to design breakwater armor blocks D Kim, DH Kim, S Chang Ocean Engineering 35 (3-4), 294-300, 2008 | 36 | 2008 |
| 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 (1), 301-308, 2016 | 35 | 2016 |
| Utilization relevance vector machine for slope reliability analysis P Samui, T Lansivaara, D Kim Applied Soft Computing 11 (5), 4036-4040, 2011 | 35 | 2011 |
| 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 | 33 | 2014 |
| 구조동역학 김두기 구미서관, 2005 | 32 | 2005 |
| 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 | 31 | 2013 |
| 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 | 28 | 2018 |
| AHP-based evaluation model for optimal selection process of patching materials for concrete repair: focused on quantitative requirements JY Do, DK Kim International Journal of Concrete Structures and Materials 6 (2), 87-100, 2012 | 28 | 2012 |
| Cost effective optimal mix proportioning of high strength self compacting concrete using response surface methodology A Khan, J Do, D Kim Computers and Concrete 17 (5), 629-638, 2016 | 27 | 2016 |
Professor Pijush SamuiAssociate Professor, NIT PatnaVerified email at nitp.ac.in
