| Application of ANN in predicting ACC of SCFST column VL Tran, DK Thai, SE Kim Composite Structures 228, 111332, 2019 | 136 | 2019 |
| Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete VL Tran, DK Thai, DD Nguyen Thin-Walled Structures 151, 106720, 2020 | 135 | 2020 |
| Experimental study on structural performance of UHPC and UHPFRC columns confined with steel tube A Le Hoang, E Fehling, B Lai, DK Thai, N Van Chau Engineering Structures 187, 457-477, 2019 | 114 | 2019 |
| Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk B Keshtegar, M Bagheri, CW Fei, C Lu, O Taylan, DK Thai Engineering with Computers, 1-12, 2021 | 80 | 2021 |
| An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting M Hasanipanah, B Keshtegar, DK Thai, NT Troung Engineering with Computers, 1-13, 2022 | 75 | 2022 |
| Gradient tree boosting machine learning on predicting the failure modes of the RC panels under impact loads DK Thai, TM Tu, TQ Bui, TT Bui Engineering with Computers 37, 597-608, 2021 | 66 | 2021 |
| A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns SH Mai, MEA Ben Seghier, PL Nguyen, J Jafari-Asl, DK Thai Engineering with Computers 38 (2), 1205-1222, 2022 | 64 | 2022 |
| Analysis of functionally graded plates by a simple locking-free quasi-3D hyperbolic plate isogeometric method S Liu, T Yu, TQ Bui, S Yin, DK Thai, S Tanaka Composites Part B: Engineering 120, 182-196, 2017 | 64 | 2017 |
| Failure analysis of reinforced concrete walls under impact loading using the finite element approach DK Thai, SE Kim Engineering Failure Analysis 45, 252-277, 2014 | 61 | 2014 |
| Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength M Hasanipanah, D Meng, B Keshtegar, NT Trung, DK Thai Neural Computing and Applications 33, 4205-4215, 2021 | 51 | 2021 |
| Numerical investigation of the damage of RC members subjected to blast loading DK Thai, SE Kim Engineering Failure Analysis 92, 350-367, 2018 | 51 | 2018 |
| Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset QH Doan, T Le, DK Thai Applied Soft Computing 102, 107100, 2021 | 46 | 2021 |
| Weibull modulus from size effect of high-performance fiber-reinforced concrete under compression and flexure DL Nguyen, DK Thai, TT Ngo, TK Tran, TT Nguyen Construction and building materials 226, 743-758, 2019 | 46 | 2019 |
| Predicting the axial compressive capacity of circular concrete filled steel tube columns using an artificial neural network MST Nguyen, DK Thai, SE Kim Steel and Composite Structures, An International Journal 35 (3), 415-437, 2020 | 45 | 2020 |
| Numerical simulation of pre-stressed concrete slab subjected to moderate velocity impact loading DK Thai, SE Kim Engineering Failure Analysis 79, 820-835, 2017 | 45 | 2017 |
| Safety assessment of a nuclear power plant building subjected to an aircraft crash DK Thai, SE Kim Nuclear Engineering and Design 293, 38-52, 2015 | 44 | 2015 |
| Application of artificial neural networks in settlement prediction of shallow foundations on sandy soils NV Luat, K Lee, DK Thai Geomechanics and Engineering 20 (5), 385-397, 2020 | 43 | 2020 |
| Evaluation of axial strength in circular STCC columns using UHPC and UHPFRC A Le Hoang, E Fehling, DK Thai, C Van Nguyen Journal of Constructional Steel Research 153, 533-549, 2019 | 42 | 2019 |
| Hybrid regression and machine learning model for predicting ultimate condition of FRP-confined concrete B Keshtegar, A Gholampour, DK Thai, O Taylan, NT Trung Composite Structures 262, 113644, 2021 | 41 | 2021 |
| Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm MEAB Seghier, XZ Gao, J Jafari-Asl, DK Thai, S Ohadi, NT Trung Structures 30, 692-709, 2021 | 40 | 2021 |
Seung Eock KimSejong UniversityEmail được xác minh tại sejong.ac.kr
