- CFRP-RC fracture strength prediction: A novel approach using deep learning. In: International Journal of Protective Structures. :
- An Approximate Formula for Asymmetrical Lateral-Impact Forces: A Residuals Margin and Laplace Transform Approach. In: Practice Periodical on Structural Design and Construction, v. 29, n. 2 (Mai 2024). (2024):
- Investigating the effectiveness of CFRP strengthening in improving the impact performance of RC members. In: Structures, v. 60 (Februar 2024). (2024):
- Based on BP Neural Network: Prediction of Interface Bond Strength between CFRP Layers and Reinforced Concrete. In: 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. In: International Journal of Concrete Structures and Materials, v. 16, n. 1 (Dezember 2022). (2022):
- An Application of BP Neural Network to the Prediction of Compressive Strength in Circular Concrete Columns Confined with CFRP. In: KSCE Journal of Civil Engineering, v. 27, n. 7 (Juni 2023). (2023):
- Failure mechanism and static bearing capacity on circular RC members under asymmetrical lateral impact train collision. In: Structures, v. 48 (Februar 2023). (2023):
- (2022): Failure Mechanism Analysis of Circular Cfrp Components Under Unequal Impact Load. Vorgetragen bei: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.
- Experimental and Numerical Study of RC Square Members Under Unequal Lateral Impact Load. In: Structural Engineering International, v. 33, n. 1 (Februar 2023). (2023):
- (2022): Performance Study of Buried Pipelines under Static Loads. In: Civil Engineering Journal, v. 8, n. 1 (1 Januar 2022).