Single and Repeated Impact Response of Normal Reinforced Concrete Beams Strengthened with Polyurea Coating - Experimental and Numerical Investigations
Abstract
In this study, low velocity drop hammer impact tests were performed on polyurea coated normal reinforced concrete (NRC) beams subjected to varying impact velocities and repeated impacts, aimed at to evaluating the strengthening effect on impact tolerance provided by the polyurea coating. Comparisons with uncoated NRC beams revealed that the application of the polyurea coating helped reduce both the maximum and residual midspan deflections. In addition, the polyurea coating effectively mitigated the concrete debris induced by the brittle failure of the NRC beams under impact, thereby reducing the risk of secondary damage. Subsequently, numerical simulations were conducted on polyurea-coated NRC beams under single and repeated impacts to reproduce the experimental phenomena and further analyse their dynamic response during impact. Building upon the validated numerical model, a systematic parametric analysis was implemented to assess the impact resistance of the polyurea-coated NRC beams, considering the effects of coating layout and thickness. Under repeated impact scenarios, further investigations were carried out on the influences of impact velocity and number on the structural response of the polyurea-coated NRC beams.
Recommended Citation
R. Luo et al., "Single and Repeated Impact Response of Normal Reinforced Concrete Beams Strengthened with Polyurea Coating - Experimental and Numerical Investigations," Journal of Building Engineering, vol. 113, article no. 114025, Elsevier, Nov 2025.
The definitive version is available at https://doi.org/10.1016/j.jobe.2025.114025
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Drop hammer impact test; Normal reinforced concrete (NRC); Parametric analysis; Polyurea coating; Repeated impact
International Standard Serial Number (ISSN)
2352-7102
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Elsevier, All rights reserved.
Publication Date
01 Nov 2025

Comments
Natural Science Foundation of Guangdong Province, Grant 2024A1515011278