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Documents dont l'auteur est "Liu, Tongxu"

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Nombre de documents: 13

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Liu, T., Cakiroglu, C., Islam, K., Wang, Z., & Nehdi, M. L. (2024). Explainable machine learning model for predicting punching shear strength of FRC flat slabs. Engineering Structures, 301, 117276 (16 pages). Lien externe

Liu, T. (2023). Shear Strengthening of Reinforced Concrete Beams Using Ultra High Performance Fiber Reinforced Concrete (UHPC) [Thèse de doctorat, Polytechnique Montréal]. Accès restreint

Liu, T., & Charron, J.-P. (2023). Characterization of interface properties for modeling the shear behavior of T-beams strengthened with ultra high-performance concrete. Structure and Infrastructure Engineering, 16 pages. Lien externe

Liu, T., & Charron, J.-P. (2023). Determination of NSC-UHPC interface properties for numerical modeling of UHPC-strengthened concrete beams and slabs. Engineering Structures, 290, 116385 (17 pages). Lien externe

Liu, T., & Charron, J.-P. (2023). Experimental Study on the Shear Behavior of UHPC-Strengthened Concrete T-Beams. Journal of Bridge Engineering, 28(9), 13 pages. Lien externe

Liu, T., & Charron, J.-P. (juin 2023). Shear resistance mechanism and shear resistance prediction of UHPC strengthened t-beam [Communication écrite]. 3rd International Interactive Symposium on Ultra-High Performance Concrete (UHPC 2023), Wilmington, Delaware, USA. Lien externe

Liu, T., Wang, Z., Long, Z., Zeng, J., Wang, J., & Zhang, J. (2022). Direct Shear Strength Prediction for Precast Concrete Joints Using the Machine Learning Method. Journal of Bridge Engineering, 27(5), 04022026 (18 pages). Lien externe

Liu, T., & Charron, J.-P. (octobre 2022). Shear strengthening of concrete T-beams with lateral layers of UHPC [Communication écrite]. International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRR 2022), Cape Town, South Africa (7 pages). Publié dans MATEC Web of Conferences, 364. Lien externe

Liu, T., Wang, Z., Zeng, J., & Wang, J. (2021). Machine-learning-based models to predict shear transfer strength of concrete joints. Engineering Structures, 249, 16 pages. Lien externe

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Wang, Z., Liu, T., Long, Z., Wang, J., & Zhang, J. (2024). Data-driven model to predict the residual drift of precast concrete columns. Journal of Building Engineering, 85, 108650 (20 pages). Lien externe

Wang, Z., Liu, T., Long, Z., Wang, J., & Zhang, J. (2023). Predicting the drift capacity of precast concrete columns using explainable machine learning approach. Engineering Structures, 282, 115771 (17 pages). Lien externe

Wang, Z., Liu, T., Long, Z., Wang, J., & Zhang, J. (2022). A machine-learning-based model for predicting the effective stiffness of precast concrete columns. Engineering Structures, 260, 24 pages. Lien externe

Wang, J., Liu, J., Wang, Z., Liu, T., Liu, J., & Zhang, J. (2021). Cost-Effective UHPC for Accelerated Bridge Construction: Material Properties, Structural Elements, and Structural Applications. Journal of Bridge Engineering, 26(2), 04020117 (24 pages). Lien externe

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