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Tianyu Hu
Observed names:
Hailong Qu,
Hu Tian Yu
Institutions:
State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering,
Chongqing Jiaotong University
Observed institutions:
Dalian University of Technology,
State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering,
Chongqing Jiaotong University,
Shandong Institute of Business and Technology
ORCID:
0000-0003-0688-2940
Observed ORCID:
0000-0003-0688-2940
OpenAlex ID:
A5089594518
A machine learning model based on GAN-ANN data augmentation for predicting the bond strength of FRP-reinforced concrete under high-temperature conditions
2025
·
Hailong Qu
, Tianyu Hu
, et al.
·
Composite Structures
·
39
Enhancing bond strength prediction at UHPC-NC interface: A data-driven approach with augmentation and explainability
2024
·
Tianyu Hu
, Hong Zhang
, et al.
·
Construction and Building Materials
·
32
Explainable machine learning model for load-deformation correlation in long-span suspension bridges using XGBoost-SHAP
2024
·
Mingyang Chen
, Jingzhou Xin
, et al.
·
Developments in the Built Environment
·
31
BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP‐Strengthened RC Beams
2021
·
Guibing Li
, Tianyu Hu
, et al.
·
Advances in Civil Engineering
·
30
PDF
Prediction of the Debonding Failure of Beams Strengthened with FRP through Machine Learning Models
2023
·
Tianyu Hu
, Hong Zhang
, et al.
·
Buildings
·
29
PDF
Accurate Prediction of Punching Shear Strength of Steel Fiber-Reinforced Concrete Slabs: A Machine Learning Approach with Data Augmentation and Explainability
2024
·
Cheng Cheng
, Woubishet Zewdu Taffese
, et al.
·
Buildings
·
27
PDF
Explainable machine learning: Compressive strength prediction of FRP-confined concrete column
2024
·
Tianyu Hu
, Hong Zhang
, et al.
·
Materials Today Communications
·
26
Data-driven model for predicting intermediate crack induced debonding of FRP-strengthened RC beams in flexure
2022
·
Guibing Li
, Tianyu Hu
, et al.
·
Structures
·
22
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns
2023
·
Yong Yu
, Tianyu Hu
·
KSCE Journal of Civil Engineering
·
19
Data-Driven Model for Predicting the Compressive Strengths of GFRP-Confined Reinforced Concrete Columns
2023
·
Haolin Li
, Dongdong Yang
, et al.
·
Buildings
·
18
PDF
Machine learning-based model for recognizing the failure modes of FRP-strengthened RC beams in flexure
2023
·
Tianyu Hu
, Hong Zhang
, et al.
·
Case Studies in Construction Materials
·
15
A new, fast, and accurate algorithm for predicting soil slope stability based on sparrow search algorithm-back propagation
2023
·
Binbin Zheng
, Jiahe Wang
, et al.
·
Natural Hazards
·
13
Fatigue life prediction of corroded steel wires: An accurate and explainable data-driven approach
2024
·
Houxuan Li
, Hong Zhang
, et al.
·
Construction and Building Materials
·
12
Corrosion degree detection of ferromagnetic materials using a hybrid machine learning approach and self-magnetic flux leakage technology
2024
·
Hong Zhang
, Houxuan Li
, et al.
·
Measurement
·
12
Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost
2024
·
Sheng Zheng
, Tianyu Hu
, et al.
·
Scientific Reports
·
11
PDF
Data-Driven Prediction Model for High-Strength Bolts in Composite Beams
2023
·
Haolin Li
, Xinsheng Yin
, et al.
·
Buildings
·
9
PDF
Machine Learning‐Based Model in Predicting the Plate‐End Debonding of FRP‐Strengthened RC Beams in Flexure
2022
·
Tianyu Hu
, Guibing Li
·
Advances in Civil Engineering
·
8
PDF
Interpretable Machine Learning-Based Prediction Model for Concrete Cover Separation of FRP-Strengthened RC Beams
2024
·
Sheng Zheng
, Tianyu Hu
, et al.
·
Materials
·
7
PDF
Intelligent recognition of failure modes in fiber reinforced polymer strengthened reinforced concrete beams: Deep generative modeling and explainable machine learning
2026
·
Tianyu Hu
, Hong Zhang
, et al.
·
Engineering Applications of Artificial Intelligence
·
6
Study on quantitative assessment of stress state of RC beams based on force-magnetic coupling effect
2025
·
Jianting Zhou
, Kai Tong
, et al.
·
Engineering Structures
·
6
A Data Driven Model for Predicting the Fatigue Life of 7075-T651 Aluminum Alloy Considering the Effects of the Size of Pits
2022
·
Yu XuanRui
, Zhang Gao Feng
, et al.
·
Structures
·
6
A failure mode identification model for UHPC-strengthened damaged flexural RC beams based on generative adversarial networks and machine learning
2026
·
Tianyu Hu
, Hong Zhang
, et al.
·
Applied Soft Computing
·
4
Prediction of residual strength of corroded reinforced concrete beams: Model construction and experimental verification
2025
·
Tianyu Hu
, Hong Zhang
, et al.
·
Journal of Building Engineering
·
4
Prediction of Allowable Debonding Strain of FRP-Strengthened RC Beam Based on GA-BP Neural Network
2021
·
Tianyu Hu
, Jiahe Wang
, et al.
·
IOP Conference Series Earth and Environmental Science
·
4
PDF
Research on Magnetic Memory Detection of Stress States in Bridge Steel Structure Welds under Bending Stress
2026
·
Zhenfeng He
, Shike Zhang
, et al.
·
Journal of Nondestructive Evaluation
·
3
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Works count:
31
Citation count:
440
H-index:
13
I10-index:
16
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