Han Daguang
- CFRP-RC fracture strength prediction: A novel approach using deep learning. Dans: International Journal of Protective Structures. :
- Investigating the effectiveness of CFRP strengthening in improving the impact performance of RC members. Dans: Structures, v. 60 (février 2024). (2024):
- Based on BP Neural Network: Prediction of Interface Bond Strength between CFRP Layers and Reinforced Concrete. Dans: Practice Periodical on Structural Design and Construction, v. 29, n. 2 (mai 2024). (2024):
- Experimental Study on Existing RC Circular Members Under Unequal Lateral Impact Train Collision. Dans: International Journal of Concrete Structures and Materials, v. 16, n. 1 (décembre 2022). (2022):
- Failure mechanism and static bearing capacity on circular RC members under asymmetrical lateral impact train collision. Dans: Structures, v. 48 (février 2023). (2023):
- (2022): Failure Mechanism Analysis of Circular Cfrp Components Under Unequal Impact Load. Présenté pendant: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.