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Junfei Zhang
Junfei Zhang
Hebei University of Technology
Verified email at hebut.edu.cn
Title
Cited by
Cited by
Year
Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression
J Zhang, G Ma, Y Huang, F Aslani, B Nener
Construction and Building Materials 210, 713-719, 2019
2652019
Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
J Zhang, Y Huang, Y Wang, G Ma
Construction and Building Materials 253, 119208, 2020
1572020
Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes
Y Sun, J Zhang, G Li, Y Wang, J Sun, C Jiang
International Journal for Numerical and Analytical Methods in Geomechanics …, 2019
1432019
Toward intelligent construction: Prediction of mechanical properties of manufactured-sand concrete using tree-based models
J Zhang, D Li, Y Wang
Journal of Cleaner Production 258, 120665, 2020
1272020
Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression
J Sun, J Zhang, Y Gu, Y Huang, Y Sun, G Ma
Construction and Building Materials 207, 440-449, 2019
1262019
Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm
J Huang, Y Sun, J Zhang
Engineering with Computers, 1-18, 2022
1202022
Shear strength prediction model of FRP bar-reinforced concrete beams without stirrups
D Gao, C Zhang
Mathematical problems in engineering 2020, 1-11, 2020
1172020
Evaluation of pore size distribution and permeability reduction behavior in pervious concrete
J Huang, Y Zhang, Y Sun, J Ren, Z Zhao, J Zhang
Construction and Building Materials 290, 123228, 2021
1142021
Determination of Young's modulus of jet grouted coalcretes using an intelligent model
Y Sun, J Zhang, G Li, G Ma, Y Huang, J Sun, Y Wang, B Nener
Engineering Geology 252, 43-53, 2019
892019
A hybrid intelligent system for designing optimal proportions of recycled aggregate concrete
J Zhang, Y Huang, F Aslani, G Ma, B Nener
Journal of Cleaner Production 273, 122922, 2020
882020
Development of ensemble learning models to evaluate the strength of coal-grout materials
Y Sun, G Li, N Zhang, Q Chang, J Xu, J Zhang
International Journal of Mining Science and Technology 31 (2), 153-162, 2021
862021
Prediction of the strength of rubberized concrete by an evolved random forest model
Y Sun, G Li, J Zhang, D Qian
Advances in Civil Engineering 2019, 1-7, 2019
862019
The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites
J Sun, S Lin, G Zhang, Y Sun, J Zhang, C Chen, AM Morsy, X Wang
Construction and Building Materials 281, 122606, 2021
842021
Mechanical characterization of 3D printed anisotropic cementitious material by the electromechanical transducer
G Ma, J Zhang, L Wang, Z Li, J Sun
Smart Materials and Structures 27 (7), 075036, 2018
792018
Rockburst mechanism in soft coal seam within deep coal mines
J Zhang, F Jiang, J Yang, W Bai, L Zhang
International Journal of Mining Science and Technology 27 (3), 551-556, 2017
792017
Machine learning-aided design and prediction of cementitious composites containing graphite and slag powder
XW JunboSun, Yongzhi Ma, Jianxin Li, Junfei Zhang, Zhenhua Ren
Journal of Building Engineering 43, 2021
762021
Mixture optimization for environmental, economical and mechanical objectives in silica fume concrete: A novel frame-work based on machine learning and a new meta-heuristic …
J Zhang, Y Huang, G Ma, B Nener
Resources, Conservation and Recycling 167, 105395, 2021
712021
Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model
Y Huang, J Zhang, FT Ann, G Ma
Construction and Building Materials 260, 120457, 2020
672020
Real-time quantification of fresh and hardened mechanical property for 3D printing material by intellectualization with piezoelectric transducers
G Ma, Y Li, L Wang, J Zhang, Z Li
Construction and Building Materials 241, 117982, 2020
662020
Strength of ensemble learning in multiclass classification of rockburst intensity
J Zhang, Y Wang, Y Sun, G Li
International Journal for Numerical and Analytical Methods in Geomechanics …, 2020
642020
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