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Qihan Wang
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Year
Machine learning aided static structural reliability analysis for functionally graded frame structures
Q Wang, Q Li, D Wu, Y Yu, F Tin-Loi, J Ma, W Gao
Applied Mathematical Modelling 78, 792-815, 2020
512020
Machine learning aided stochastic structural free vibration analysis for functionally graded bar-type structures
Q Wang, D Wu, F Tin-Loi, W Gao
Thin-Walled Structures 144, 106315, 2019
472019
Machine learning aided phase field method for fracture mechanics
Y Feng, Q Wang, D Wu, Z Luo, X Chen, T Zhang, W Gao
International Journal of Engineering Science 169, 103587, 2021
352021
Geometrically nonlinear dynamic analysis of organic solar cell resting on Winkler-Pasternak elastic foundation under thermal environment
Q Li, Q Wang, D Wu, X Chen, Y Yu, W Gao
Composites Part B: Engineering 163, 121-129, 2019
322019
Machine learning aided durability and safety analyses on cementitious composites and structures
Y Yu, D Wu, Q Wang, X Chen, W Gao
International Journal of Mechanical Sciences 160, 165-181, 2019
282019
Robust free vibration analysis of functionally graded structures with interval uncertainties
D Wu, Q Wang, A Liu, Y Yu, Z Zhang, W Gao
Composites Part B: Engineering 159, 132-145, 2019
272019
Stochastic nonlocal damage analysis by a machine learning approach
Y Feng, Q Wang, D Wu, W Gao, F Tin-Loi
Computer Methods in Applied Mechanics and Engineering 372, 113371, 2020
222020
Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique
Q Wang, Y Feng, D Wu, G Li, Z Liu, W Gao
Computer Methods in Applied Mechanics and Engineering 398, 115250, 2022
152022
Polyphase uncertainty analysis through virtual modelling technique
Q Wang, Y Feng, D Wu, C Yang, Y Yu, G Li, M Beer, W Gao
Mechanical Systems and Signal Processing 162, 108013, 2022
152022
A virtual model architecture for engineering structures with Twin Extended Support Vector Regression (TX-SVR) method
Q Wang, D Wu, G Li, W Gao
Computer Methods in Applied Mechanics and Engineering 386, 114121, 2021
122021
Experimental-numerical-virtual (ENV) modelling technique for composite structure against low velocity impacts
Y Feng, Q Wang, Y Yu, T Zhang, D Wu, X Chen, Z Luo, W Gao
Engineering Structures 278, 115488, 2023
52023
Advanced virtual model assisted most probable point capturing method for engineering structures
E Zhao, Q Wang, MM Alamdari, W Gao
Reliability Engineering & System Safety 239, 109527, 2023
42023
Virtual modelling technique for geometric-material nonlinear dynamics of structures
Y Feng, Q Wang, X Chen, D Wu, W Gao
Structural Safety 100, 102284, 2023
42023
Stochastic bandgap optimization for multiscale elastic metamaterials with manufacturing imperfections
M Zhang, Q Wang, Z Luo, W Gao
International Journal of Mechanical Sciences 268, 109035, 2024
22024
Sensitivity of solidification hydration model in estimating carbonation of fly ash cement system
Y Yu, T Zhang, Q Wang, X Chen, D Wu, W Gao, A Liu
Construction and Building Materials 282, 122582, 2021
22021
Machine learning aided uncertainty quantification for engineering structures involving material-geometric randomness and data imperfection
Q Wang, D Wu, G Li, Z Liu, J Tong, X Chen, W Gao
Computer Methods in Applied Mechanics and Engineering 423, 116868, 2024
12024
Virtual model-aided reliability analysis considering material and geometrical uncertainties for elastic metamaterials
M Zhang, Q Wang, Z Luo, W Gao
Mechanical Systems and Signal Processing 211, 111199, 2024
12024
Sustainable Design Optimization for Engineering Structures Considering Embodied Carbon
E Zhao, Q Wang, W Gao
Proceedings of the Annual Conference of Japan Society of Material Cycles and …, 2024
2024
Additive manufacturing error quantification on stability of composite sandwich plates with lattice-cores through machine learning technique
W Tian, Q Li, Q Wang, D Chen, W Gao
Composite Structures 327, 117645, 2024
2024
Machine Learning-Aided Nonlinear Dynamic Analysis of Engineering Structures
Y Feng, Q Wang, D Wu, W Gao
International conference on Variability of the Sun and sun-like stars: from …, 2022
2022
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