Elevated Temperature Effects on FRP–Concrete Bond Behavior: A Comprehensive Review and Machine Learning-Based Bond Strength Prediction
Abstract
:1. Introduction
2. Previous Work
2.1. The Behavior of FRP Bonded with Epoxy Adhesives
2.2. The Behavior of FRP Bonded with Cementitious Adhesives
3. Proposed Bond–Slip Models
4. Machine Learning Models
5. Conclusions and Gaps in the Literature
- There are limited models for the FRP–concrete bond behavior under high temperatures. The development and validation of an extensive bond–slip model under high temperatures incorporating temperature-dependent properties of FRPs and adhesives are needed.
- The work performed in the literature is insufficient regarding the long-term performance and life of adhesives at elevated temperatures.
- In most of the previous works, researchers focus on specific scenarios or materials; the vast majority of the experimental campaigns are conducted for CFRP-strengthened beams. This has created an evident lack of general experimental research works covering a wide range of other FRP materials. It would be useful to have detailed studies concerning different types of FRP and adhesives so that their particular behavior under high-temperature conditions could be understood and appropriate materials could be selected for a whole range of applications.
- Some studies consider thermal effects on mechanical properties but, generally, no deep discussions concerning micro-mechanisms of bond failure are performed. Researching the micro-mechanisms of bond failure under thermal stress with state-of-the-art imaging and analytical techniques is desirable.
- Regarding real-world application scenarios, most studies are conducted under a highly controlled laboratory setup, accounting just for mere simulation in real applications. Real case application scenarios should be established and validated by case studies, followed by model adjustment as per the results.
6. Recommendations
- Identify advanced tools for analysis that will be used to investigate microstructural change and failure mechanisms of FRP–concrete bonds under elevated temperatures, such as digital image correlation, scanning electron microscopy, and X-ray diffraction.
- Field studies, inclusive of real-life case studies of the application of FRPs in concrete structures in elevated temperature conditions, could become very instrumental with valuable insights and important empirical data for consideration in the refinement of theoretical models and results of experiments.
- Newer developments in materials, such as nanocomposites or advanced epoxy formulations, have huge potential for improving the durability of FRP composites at higher temperatures. In contrast, additional research work is still needed to develop models for the prediction of service life with accuracy by considering multiple factors of bond degradation in real-world conditions.
- Standard test methods and guidelines should be developed for adoption in the evaluation of the bond performance of FRP–concrete systems at elevated temperatures. This will help provide consistency and reliability in research findings on the derived values for practical applications.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Specimen Code * | Ef (GPa) | bf (mm) | tf (mm) | Tg (°C) | Test Temperature (°C) | L (mm) | τmax (MPa) |
---|---|---|---|---|---|---|---|
B1-20 | 165 | 50 | 1.2 | 62 | 20 | 300 | 1.757 |
B1-40 | 165 | 50 | 1.2 | 62 | 40 | 300 | 1.7416 |
B1-50 | 165 | 50 | 1.2 | 62 | 50 | 300 | 2.3115 |
B1-70 | 165 | 50 | 1.2 | 62 | 70 | 300 | 2.1695 |
B1-80 | 165 | 50 | 1.2 | 62 | 80 | 300 | 1.7753 |
B2-20 | 165 | 50 | 1.2 | 62 | 20 | 300 | 2.0382 |
B2-40 | 165 | 50 | 1.2 | 62 | 40 | 300 | 2.6586 |
B2-50 | 165 | 50 | 1.2 | 62 | 50 | 300 | 2.0212 |
B2-70 | 165 | 50 | 1.2 | 62 | 70 | 300 | 1.4361 |
B2-90 | 165 | 50 | 1.2 | 62 | 90 | 300 | 1.1315 |
O-26 | 230 | 50 | 0.111 | 38 | 26 | 200 | 1.2606 |
O-30 | 230 | 50 | 0.111 | 38 | 30 | 200 | 1.1301 |
O-40 | 230 | 50 | 0.111 | 38 | 40 | 200 | 0.7165 |
O-50 | 230 | 50 | 0.111 | 38 | 50 | 200 | 0.4874 |
T-26 | 230 | 50 | 0.111 | 38 | 26 | 200 | 1.283 |
T-40 | 230 | 50 | 0.111 | 38 | 40 | 200 | 1.194 |
T-50 | 230 | 50 | 0.111 | 38 | 50 | 200 | 0.8323 |
T-60 | 230 | 50 | 0.111 | 38 | 60 | 200 | 0.6427 |
T-SL20 | 210 | 60 | 1.4 | 85 | 20 | 150 | 1.5213 |
T-SL70 | 210 | 60 | 1.4 | 85 | 70 | 150 | 1.9423 |
T-SL80 | 210 | 60 | 1.4 | 85 | 80 | 150 | 2.0705 |
T-SL85 | 210 | 60 | 1.4 | 85 | 85 | 150 | 2.2996 |
CS-4 | 390 | 100 | 0.167 | 44 | 4 | 120 | 1.0261 |
CS-40 | 390 | 100 | 0.167 | 44 | 40 | 120 | 1.4335 |
CS-60 | 390 | 100 | 0.167 | 44 | 60 | 120 | 0.6594 |
CS-80 | 390 | 100 | 0.167 | 44 | 80 | 120 | 0.3251 |
CS-100 | 390 | 100 | 0.167 | 44 | 100 | 120 | 0.345 |
CS-120 | 390 | 100 | 0.167 | 44 | 120 | 120 | 0.3593 |
CS-140 | 390 | 100 | 0.167 | 44 | 140 | 120 | 0.3478 |
CS-160 | 390 | 100 | 0.167 | 44 | 160 | 120 | 0.342 |
CS-180 | 390 | 100 | 0.167 | 44 | 180 | 120 | 0.3506 |
ZS-27 | 245 | 100 | 0.167 | 44 | 27 | 110 | 0.8627 |
ZS-40 | 245 | 100 | 0.167 | 44 | 40 | 110 | 0.8121 |
ZS-50 | 245 | 100 | 0.167 | 44 | 50 | 110 | 0.6178 |
ZS-65 | 245 | 100 | 0.167 | 44 | 65 | 110 | 0.2769 |
ZS-85 | 245 | 100 | 0.167 | 44 | 85 | 110 | 0.2061 |
ZS-110 | 245 | 100 | 0.167 | 44 | 110 | 110 | 0.2076 |
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Temp. Range | Bond Strength Reduction | Failure Modes | Bond–Slip Relationship |
---|---|---|---|
Up to 100 | A 30% reduction compared with ambient temperatures. | A combination of cohesive failure in concrete and adhesive failure at the interface. | Decrease in stiffness and an increase in slip values. |
100–300 | Reduction of up to 50% | Adhesive failure at the FRP–concrete interface (debonding of the FRP). | A substantial decrease in maximum bond stress, decreased stiffness, and increased slip values. |
300–600 | Reduction up to 70% compared with ambient conditions | Adhesive failure at the interface or debonding of the FRP system becomes more prevalent. | A significant decrease in maximum bond stress and increased slip values. |
More than 600 | Potential complete loss of bond strength. | Delamination of the FRP system is commonly observed because of thermal degradation and weakening of the bond interface. | Very low bond stress values and large slip values, indicating a near-complete loss of bond integrity [19,20]. |
Author(s) | Model Type | Key Features | Advantages | Disadvantages |
---|---|---|---|---|
Dai et al. [41] | Nonlinear | - Based on extensive experimental data; considers residual stresses. | - Accounts for thermal degradation up to 120 °C. | - Complexity in parameter determination. |
Arruda et al. [18] | Bilinear | - Uses the cohesive zone model (CZM) and is implemented with the finite element method. | - Good agreement with experimental results. - Captures reduction in bond strength and stiffness. - Applicable to both NSM and EBR techniques. | - Requires empirical parameters from experiments. - It may be computationally intensive. |
Leone et al. [68] | Exponential | - Focused on temperatures up to 60 °C. -Based on double-shear pull-out tests. | - Relatively simple formulation. | - Limited temperature range and may not be applicable to extreme temperature conditions. |
Dong et al. [69] | Two-parameters exponential | - Considers bond length and free-end slip. | - Simplified formulas for peak load prediction. - Good agreement with experimental data for bond strength reduction. | - May not capture complex behaviors at very high temperatures. - Accuracy depends on the quality of regression analysis. |
Jia D et al. [27] | Nonlinear equation | - Isolates interfacial thermal stress effects. | - Provides comprehensive thermal stress analysis. - Versatile across different structural contexts. | - Mathematically complex for practical application. - Requires detailed material property data. |
Wang Y et al. [71] | Trilinear | - Considers arbitrary bond lengths. - Includes interfacial friction. - For thermomechanical loading. | - Captures the whole debonding process. - Introduces the concept of effective bond length change with temperature. - Efficient as a coupled thermal–mechanical tool. | - Assumes uniform thermal expansion and shear deformation. - May require complex numerical implementation. |
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Salameh, A.; Hawileh, R.; Safieh, H.; Assad, M.; Abdalla, J. Elevated Temperature Effects on FRP–Concrete Bond Behavior: A Comprehensive Review and Machine Learning-Based Bond Strength Prediction. Infrastructures 2024, 9, 183. https://doi.org/10.3390/infrastructures9100183
Salameh A, Hawileh R, Safieh H, Assad M, Abdalla J. Elevated Temperature Effects on FRP–Concrete Bond Behavior: A Comprehensive Review and Machine Learning-Based Bond Strength Prediction. Infrastructures. 2024; 9(10):183. https://doi.org/10.3390/infrastructures9100183
Chicago/Turabian StyleSalameh, Aseel, Rami Hawileh, Hussam Safieh, Maha Assad, and Jamal Abdalla. 2024. "Elevated Temperature Effects on FRP–Concrete Bond Behavior: A Comprehensive Review and Machine Learning-Based Bond Strength Prediction" Infrastructures 9, no. 10: 183. https://doi.org/10.3390/infrastructures9100183
APA StyleSalameh, A., Hawileh, R., Safieh, H., Assad, M., & Abdalla, J. (2024). Elevated Temperature Effects on FRP–Concrete Bond Behavior: A Comprehensive Review and Machine Learning-Based Bond Strength Prediction. Infrastructures, 9(10), 183. https://doi.org/10.3390/infrastructures9100183