Durability and Long-Term Performance Prediction of Carbon Fiber Reinforced Polymer Laminates
Abstract
:1. Introduction
2. Experimental Program
2.1. Field Samples Collection
2.2. Field Samples Dimensions Preparation
- and = volume ratio of fiber and epoxy, respectively.
- , , and = longitudinal elastic modulus of laminate, fiber, and epoxy, respectively.
2.3. Materials and Specimens, New Samples
2.4. Environmental Exposure, New Samples
2.5. Tensile Test
3. Results
3.1. Field Samples
3.2. Tensile Strength
3.3. Strain Performance
3.4. Tensile Modulus
4. Prediction Model of Long-Term Effects
- k = degradation rate (1/time).
- A = constant of the material and degradation process.
- = activation energy associated with the set of mechanisms.
- R = universal gas constant (8.3143 × 10−3 kJ/mol K).
- T = temperature (K).
4.1. Prediction Procedure
- Y = percentage of tensile strength retention.
- t = exposure time.
- = = fitted parameter.
- and = required times for a property to reach a given value at temperatures of and , respectively.
- c = constant.
- and = degradation rates at temperatures and , respectively.
- and = performance attributes at time t (in days) and zero time, respectively.
- = constant denoting degradation rate.
- = material constant reflecting the early effects of post-cure progression.
4.2. Prediction Model Calibration
5. Discussion
5.1. Environmental Reduction Factor
- .
- = mean ultimate strength.
- = standard deviation.
- = mean ultimate strength.
- = partial safety factor for the strength of FRP.
- = partial safety factor for the method of manufacturing and application.
- = partial safety factor for modulus of elasticity of FRP.
- .
- = mean ultimate strength.
- = standard deviation.
- = reliability index and brittle failure behavior of FRP materials.
- = environmental influence factor.
- = CFRP safety factor (1.35 for wet lay-up).
- , = effective and mean ultimate FRP strain, respectively.
5.2. Comparison of Calibrated Prediction Model with ACI 440.2R-17
- CE = environmental reduction factor.
- T = design life (days).
5.3. Comparison of Calibrated Prediction Model with International Codes
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Material | Tensile Strength (MPa) | Young’s Modulus (GPa) | Failure Strain (%) |
---|---|---|---|
Dry carbon fiber | 3793 | 234 | 1.5 |
Epoxy | 33.8 | 4.5 | 1.2 |
CFRP laminate | 724 | 56.5 | 1.0 |
Environmental Exposure | Duration (Days) | No. of Samples |
---|---|---|
Immersion in water at 23 °C (RT) | 28, 56, 84, 112, and 224 | 25 |
Immersion in water at 45 °C (MT) | 28, 56, 84, 112, and 224 | 25 |
Immersion in water at 60 °C (HT) | 28, 56, 84, 112, and 224 | 25 |
Control samples (no exposure) | - | 8 |
Total No. of samples | 83 |
Environmental Exposure | Exposure Time (Days) | No. of Specimens | Average Failure Stress (MPa) | CV (%) | Tensile Strength Retention (%) |
---|---|---|---|---|---|
Unconditioned (Control samples) | 0 | 8 | 678 | 6.99 | 100 |
RT (23 °C) | 28 | 5 | 637 | 8.89 | 94 |
56 | 5 | 612 | 9.72 | 90 | |
84 | 5 | 581 | 6.29 | 86 | |
112 | 4 | 551 | 7.17 | 81 | |
224 | 5 | 506 | 11.72 | 75 | |
MT (45 °C) | 28 | 4 | 604 | 4.95 | 89 |
56 | 5 | 592 | 5.74 | 87 | |
84 | 5 | 553 | 9.90 | 82 | |
112 | 4 | 533 | 10.00 | 79 | |
224 | 5 | 493 | 14.16 | 73 | |
HT (60 °C) | 28 | 5 | 576 | 13.75 | 85 |
56 | 5 | 559 | 10.55 | 82 | |
84 | 5 | 542 | 2.72 | 80 | |
112 | 4 | 506 | 5.65 | 75 | |
224 | 5 | 457 | 15.33 | 67 |
Water Temperature (°C) | R2 | |
---|---|---|
23 | 554 | 0.99 |
45 | 494 | 0.94 |
60 | 434 | 0.88 |
Environmental Exposure | Time Shift Factor |
---|---|
RT (23 °C) | 1.02 |
MT (45 °C) | 1.14 |
HT (60 °C) | 1.22 |
Source | Country | Publishing Entity and Year | Environmental Reduction Factor |
---|---|---|---|
ACI 440.2R | USA | American Concrete Institute (ACI), 2017 | 0.85 |
TR55 | UK | The Concrete Society, 2012 | 0.51 |
GB 50608 | China | China Architecture & Building Press, 2011 | 0.60 |
Fib Bulletin 14 | Europe | International Federation for Structural Concrete (Fib), 2001 | 0.74 |
CNR-DT 200 | Italy | Advisory Committee on Technical Recommendations for Construction, 2014 | 0.85 |
ECP 208 | Egypt | Egyptian Housing and Building National Research Center, 2005 | 0.85 |
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Alsuhaibani, E.; Yazdani, N.; Beneberu, E. Durability and Long-Term Performance Prediction of Carbon Fiber Reinforced Polymer Laminates. Polymers 2022, 14, 3207. https://doi.org/10.3390/polym14153207
Alsuhaibani E, Yazdani N, Beneberu E. Durability and Long-Term Performance Prediction of Carbon Fiber Reinforced Polymer Laminates. Polymers. 2022; 14(15):3207. https://doi.org/10.3390/polym14153207
Chicago/Turabian StyleAlsuhaibani, Eyad, Nur Yazdani, and Eyosias Beneberu. 2022. "Durability and Long-Term Performance Prediction of Carbon Fiber Reinforced Polymer Laminates" Polymers 14, no. 15: 3207. https://doi.org/10.3390/polym14153207
APA StyleAlsuhaibani, E., Yazdani, N., & Beneberu, E. (2022). Durability and Long-Term Performance Prediction of Carbon Fiber Reinforced Polymer Laminates. Polymers, 14(15), 3207. https://doi.org/10.3390/polym14153207