Haoyou Zhang
- Assessing progressive collapse regions of reinforced concrete frame structures using Graph Convolutional Networks. Dans: Engineering Structures, v. 322 (janvier 2025). (2025):
- A reinforced concrete shear wall building structure subjected to internal TNT explosions: Test results and numerical validation. Dans: International Journal of Impact Engineering, v. 190 (août 2024). (2024):
- A numerical model database for rapid seismic damage assessment of typical regular reinforced concrete frame structures in urban building clusters. Dans: Journal of Building Engineering, v. 90 (août 2024). (2024):
- Numerical Modelling of Reinforced Concrete Slender Walls Subjected to Coupled Axial Tension–Flexure. Dans: International Journal of Concrete Structures and Materials, v. 15, n. 1 (7 janvier 2021). (2021):
- Rapid visual simulation of the progressive collapse of regular reinforced concrete frame structures based on machine learning and physics engine. Dans: Engineering Structures, v. 286 (juillet 2023). (2023):
- Rapid seismic damage state assessment of RC frames using machine learning methods. Dans: Journal of Building Engineering, v. 65 (avril 2023). (2023):
- Effects of wet grinding combined with chemical activation on the activity of iron tailings powder. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022). (2022):
- Interpretable ensemble machine-learning models for strength activity index prediction of iron ore tailings. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022). (2022):
- Prediction of failure modes, strength, and deformation capacity of RC shear walls through machine learning. Dans: Journal of Building Engineering, v. 50 (juin 2022). (2022):