| Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach DC Feng, ZT Liu, XD Wang, Y Chen, JQ Chang, DF Wei, ZM Jiang Construction and Building Materials 230, 117000, 2020 | 514 | 2020 |
| Interpretable XGBoost-SHAP machine-learning model for shear strength prediction of squat RC walls DC Feng, WJ Wang, S Mangalathu, E Taciroglu Journal of Structural Engineering 147 (11), 04021173, 2021 | 203 | 2021 |
| Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements DC Feng, WJ Wang, S Mangalathu, G Hu, T Wu Engineering Structures 235, 111979, 2021 | 190 | 2021 |
| Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm DC Feng, ZT Liu, XD Wang, ZM Jiang, SX Liang Advanced Engineering Informatics 45, 101126, 2020 | 186 | 2020 |
| Phase-field regularized cohesive zone model (CZM) and size effect of concrete DC Feng, JY Wu Engineering Fracture Mechanics 197, 66-79, 2018 | 182 | 2018 |
| Finite element modelling approach for precast reinforced concrete beam-to-column connections under cyclic loading DC Feng, G Wu, Y Lu Engineering Structures 174, 49-66, 2018 | 126 | 2018 |
| Robustness quantification of reinforced concrete structures subjected to progressive collapse via the probability density evolution method DC Feng, SC Xie, J Xu, K Qian Engineering Structures 202, 109877, 2020 | 102 | 2020 |
| Experimental study on the flexural behavior of concrete beams reinforced with bundled hybrid steel/FRP bars Z Sun, L Fu, DC Feng, AR Vatuloka, Y Wei, G Wu Engineering Structures 197, 109443, 2019 | 102 | 2019 |
| Softened damage-plasticity model for analysis of cracked reinforced concrete structures DC Feng, XD Ren, J Li Journal of Structural Engineering 144 (6), 04018044, 2018 | 98 | 2018 |
| Seismic retrofitting of existing frame buildings through externally attached sub-structures: State of the art review and future perspectives XY Cao, D Shen, DC Feng, CL Wang, Z Qu, G Wu Journal of building engineering 57, 104904, 2022 | 92 | 2022 |
| Stochastic nonlinear behavior of reinforced concrete frames. II: Numerical simulation DC Feng, J Li Journal of Structural Engineering 142 (3), 04015163, 2015 | 90 | 2015 |
| Probabilistic failure analysis of reinforced concrete beam-column sub-assemblage under column removal scenario DC Feng, SC Xie, WN Deng, ZD Ding Engineering Failure Analysis 100, 381-392, 2019 | 88 | 2019 |
| Data-driven approach to predict the plastic hinge length of reinforced concrete columns and its application DC Feng, B Cetiner, MR Azadi Kakavand, E Taciroglu Journal of Structural Engineering 147 (2), 04020332, 2021 | 86 | 2021 |
| Progressive collapse performance analysis of precast reinforced concrete structures DC Feng, Z Wang, G Wu The Structural Design of Tall and Special Buildings 28 (5), e1588, 2019 | 85 | 2019 |
| A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams B Fu, DC Feng Journal of Building Engineering 36, 102118, 2021 | 81 | 2021 |
| Research progress on fundamental performance of precast concrete frame beam-to-column connections G Wu, DC Feng J. Build. Struct 39 (2), 1-16, 2018 | 81 | 2018 |
| An efficient fiber beam-column element considering flexure–shear interaction and anchorage bond-slip effect for cyclic analysis of RC structures DC Feng, J Xu Bulletin of Earthquake Engineering 16, 5425-5452, 2018 | 77 | 2018 |
| Collapse simulation of reinforced concrete frame structures DC Feng, C Kolay, JM Ricles, J Li The Structural Design of Tall and Special Buildings 25 (12), 578-601, 2016 | 77 | 2016 |
| Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems S Mangalathu, K Karthikeyan, DC Feng, JS Jeon Engineering Structures 250, 112883, 2022 | 76 | 2022 |
| A flexure-shear Timoshenko fiber beam element based on softened damage-plasticity model DC Feng, G Wu, ZY Sun, JG Xu Engineering Structures 140, 483-497, 2017 | 75 | 2017 |
Gang WuSoutheast University, China在 seu.edu.cn 的电子邮件经过验证
