Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders
Abstract
:1. Introduction
2. Shear Resistance According to Various Prediction Models
2.1. FHWA-HRT-23-077, 2023
2.2. ePCI-UHPC, 2021
2.3. French Standard, NF P 18-710, 2016
2.4. Canadian Standard CSA A23.3-04
2.5. Eurocode 2 and German DAfStb Guideline, 2022
2.6. Summary of the Prediction Models
- -
- Generally, the mentioned models agree that the shear resistance is composed of contributions from the tensile resistance of concrete, fibers, shear reinforcement, and prestressing. However, the FHWA, ePCI, and CSA methods have one term for the tensile resistance of concrete and steel fibers combined, while the AFGC and the DAfStb methods have separate terms for each.
- -
- It is worth mentioning that the FHWA method adopts the concept of localization tensile stress for the tensile resistance of concrete, which should be evaluated experimentally. The ePCI method adopts a fixed minimum residual tensile stress for UHPC (frr = 5.2 MPa). In the other codes, the tensile stress is related to the compressive strength of UHPC.
- -
- Regarding the inclination angle of the compression strut θ, the FHWA method adopts an iterative solution to determine it, while the ePCI and the CSA method adopt a similar equation form. In the three methods, the angle depends on the strain of the longitudinal reinforcement, εs. The AFGC method adopts a fixed minimum angle of 30 degrees. However, the DAfStb method includes the effect of the shear span-to-depth ratio on the inclination angle θ.
- -
- In the shear reinforcement contributions, all methods assume yielding stress in the shear reinforcement except for the FHWA method, where an iterative solution is required to determine the stress in the shear reinforcement.
- -
- In the FHWA, ePCI, and CSA methods, the effect of the prestressing level on the shear capacity of UHPC is included in determining the strain of the longitudinal reinforcement, εs, and as a vertical component resisting vertical shear, Vp. In the AFGC and the DAfStb methods, the prestressing level is included in the concrete contribution equation ().
3. Database Analysis
4. Localization Tensile Stress and Strain for the FHWA Method
5. Performance and Comparison of Prediction Models
6. Conclusions
- The FHWA, ePCI, and CSA methods are based on modifications of the MCFT. On the other hand, the AFGC and DAfStb methods were shown to have separate terms for the concrete and steel fiber tensile contributions. The angle of inclination of the diagonal compressive strut (θ) in the FHWA, ePCI, and CSA methods is determined using the strain of the longitudinal reinforcement (εs), while the AFGC method uses a fixed minimum angle of 30°, and the DAfStb method incorporates the span-to-depth ratio (a/d). In addition, it was shown that all methods assume yielding stress in shear reinforcement except for the FHWA method, which determines the strain of the shear reinforcement.
- To determine the shear capacity according to the FHWA procedure, the localization strength and strain (ftloc, εt,loc) must be determined experimentally. Conversely, ftloc and εt,loc had not been determined for most of the specimens in the database. For that reason, a prediction model ft,loc was developed based on the concrete and steel fiber properties. Regarding the localization strain, a fixed value was assumed (εt,loc =0.004) for all specimens.
- The FHWA method showed a superior performance compared to other models in terms of statistical measures and consistent prediction conservatism across variables ranges. The FHWA method resulted in an Avg. of 1.19, SD of 0.29, and RRMSE of 35.7% for the strength ratios (Vexp/Vpred.). Out of 198 specimens, only 14 had a shear strength ratio of either more than 2.0 or below 0.75.
- The ePCI method showed the highest conservatism with an Avg. of 1.58 due to limiting the UHPC residual tensile strength to 5.2 MPa. The ePCI method resulted in 28 specimens with a shear strength ratio > 2.0 and no specimens falling below 0.75.
- The DAfStb method showed the highest SD and CoV, indicating the lowest prediction accuracy and the greatest scatter of the data. This method also accounted for the largest number of specimens having shear strength ratios above 2.0 and below 0.75. In addition, this method showed a reduction in conservatism at high geometrical or material properties values, including the shear span-to-depth ratio.
- It can be said that the ePCI, AFGC, and CSA methods showed similar behavior with different degrees of conservatism; they resulted in Avg. shear strength ratios of 1.58, 1.24, and 1.14, respectively.
- Except for the FHWA method, all methods showed a reduction in conservatism at a high transverse reinforcement ratio. This can be attributed to adopting yield stress for transverse reinforcement compared to the FHWA method which checks its strain.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
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Shear Span | a/d ≥ 2 | 0.5 ≤ a/d < 2 |
---|---|---|
Fiber contribution | ||
Stirrup contribution | = 1.2 + 2.4 |
Reference | # of Tests | Section | f’c (MPa) | Vf lf/df | a/d | h (mm) | bw (mm) | Aps (mm2) |
---|---|---|---|---|---|---|---|---|
[11] | 9 | I-shaped | 203–205 | 130–167 | 2.5 | 380 | 65 | 900 |
[31] | 8 | I-shaped | 125–140 | 75–150 | 3.2 | 650 | 50 | 840 |
[32] | 6 | I-shaped | 150–170 | 82–163 | 3.3 | 650 | 50 | 1680 |
[13] | 3 | I-shaped | 103–105 | 48.8 | 2 | 400 | 70 | 280 |
[10] | 8 | I-shaped | 168–189 | 65–130 | 2.5–3.4 | 700 | 40, 50 | 1680 |
[33] | 3 | I-shaped | 193.0 | 130.0 | 2.5, 2.8 | 910 | 152 | 2230 |
[12] | 6 | I-shaped | 125–127 | 120.00 | 1.1, 2, 3 | 300 | 50 | 420 |
[5] | 6 | I-shaped | 137–160 | 130.0 | 3.1–3.9 | 889, 1092 | 76.2, 101.6 | 4560 |
[25] | 13 | I-shaped | 126–155 | 125, 159, 190 | 1.2–3.4 | 863.6 | 50–101 | 3640 |
[9] | 5 | I-shaped | 195–212 | 97–100 | 2.5–8.5 | 380 | 65 | 840 |
[34] | 3 | Rectangle | 108.2 | 75 | 1.5–2.5 | 340 | 160 | 140 |
[35] | 15 | I, box-shaped | 118–155 | 130, 160, 190 | 2.5–4 | 800–1500 | 50–152 | 1680 |
[44] | 7 | I-shaped | 128–145 | 40, 75, 65, 100 | 1.60 | 500 | 65 | 372 |
[37] | 2 | I-shaped | 126.0 | 130 | 1.1–3.3 | 600 | 70 | 280 |
[38] | 10 | I-shaped | 152–189 | 77, 147 | 3.0–3.5 | 600–1000 | 40 | 1115 |
[39] | 1 | I-shaped | 173.2 | 163 | 2.50 | 1067 | 114 | 6580 |
[40] | 1 | Rectangle | 166.9 | 131.25 | 3 | 290 | 150 | 0 |
[41] | 13 | I-shaped | 160–188 | 75, 150 | 3.25 | 350 | 60 | 0 |
[42] | 2 | Rectangle | 100, 200 | 80 | 2 | 350 | 200 | 0 |
[43] | 31 | T-shaped, Rectangle | 115–125 | 65, 130, 195 | 1.5–3.0 | 250 | 150 | 0 |
[44] | 8 | I-shaped | 144–152 | 65.0, 130.0, 195 | 4–8.0 | 380, 460 | 50 | 0 |
[27] | 2 | I-shaped | 147.69 | 52, 130 | 1.6–3 | 220, 400 | 50 | 0 |
[18] | 3 | Rectangle | 140 | 200 | 1.23 | 300 | 200 | 0 |
[46] | 8 | Rectangle | 130–152 | 172.25 | 1.5–3.0 | 350 | 250 | 0 |
[47] | 11 | Rectangle | 127, 131 | 65, 130, 195, 260 | 1.5–2.3 | 250 | 150 | 0 |
[48] | 9 | I-shaped | 160–170 | 97.5 | 2.5, 3.5 | 520, 700 | 40 | 0 |
[49] | 2 | I-shaped | 150 | 195 | 2.8 | 200 | 20 | 0 |
[50] | 3 | I-shaped | 198–211 | 37.1, 74.2 | 4 | 330 | 30 | 0 |
Average | - | - | 149.58 | 130.2 | 2.8 | 517.1 | 91.1 | 1709.6 |
Max. | - | - | 212 | 260 | 8 | 1422.4 | 250 | 6580 |
Min. | - | - | 100 | 37.1 | 1.5 | 200 | 20 | 140 |
Reference | No. of Specimens | Vf lf/df (%) | f’c (MPa) | ftloc (MPa) |
---|---|---|---|---|
[51] | 31 | 86.70–260.0 | 84.8–170.3 | 6.4–12.5 |
[5] | 6 | 130.0 | 137.0–160.0 | 8.6–11.5 |
[52] | 8 | 54.5–121.9 | 129.0–140.0 | 5.0–9.4 |
[53] | 12 | 62.5 | 171.0–195.0 | 6.9–11.9 |
[54] | 5 | 86.7–130.0 | 93.8–148.0 | 6.4–12.5 |
[55] | 4 | 130.0 | 126.0 | 11.9 |
[56] | 6 | 130.0–290.0 | 150.0 | 15.1–15.7 |
[57] | 4 | 130.0 | 196.5 | 12.2 |
Prediction Model | Vexp/Vpred. Avg. | Vexp/Vpred. SD. | Vexp/Vpred. CoV (%) | Vexp/Vpred. RRMSE (%) | Vexp/Vpred. >2 | Vexp/Vpred. <0.75 |
---|---|---|---|---|---|---|
FHWA method [24] | 1.19 | 0.29 | 24.6 | 35.7 | 2 | 11 |
ePCI method [25] | 1.58 | 0.43 | 27.4 | 55.1 | 28 | 0 |
AFGC method [26] | 1.24 | 0.44 | 35.5 | 37.9 | 13 | 20 |
CSA method [27] | 1.14 | 0.34 | 29.5 | 38.6 | 5 | 15 |
DAfStb method [28] | 1.40 | 0.55 | 39.6 | 59.7 | 28 | 23 |
Non-Prestressed (n = 97) | Prestressed (n = 101) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
No Av (n = 60) | With Av (n = 37) | No Av (n = 72) | With Av (n = 29) | |||||||||
Method | Avg. | CoV % | <0.75 | Avg. | CoV % | <0.75 | Avg. | CoV % | <0.75 | Avg. | CoV. % | <0.75 |
FHWA [24] | 1.17 | 29.4 | 5 | 1.18 | 22.3 | 3 | 1.19 | 23.9 | 2 | 1.27 | 15.8 | 1 |
ePCI [25] | 1.64 | 30.3 | 0 | 1.40 | 19.1 | 0 | 1.65 | 28.4 | 0 | 1.54 | 18.9 | 0 |
AFGC [26] | 1.19 | 48.6 | 14 | 0.97 | 21.6 | 5 | 1.42 | 26.8 | 0 | 1.25 | 16.1 | 1 |
CSA [27] | 1.20 | 31.7 | 4 | 0.94 | 22.2 | 3 | 1.15 | 28.9 | 7 | 1.25 | 22.1 | 1 |
DAfStb [28] | 1.40 | 38.3 | 6 | 1.54 | 28.0 | 1 | 1.48 | 39.2 | 7 | 1.01 | 48.5 | 9 |
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Tarawneh, A.; Amirah, H.; Alghossoon, A.; Almasabha, G.; Al-Mazaidh, R.; Saleh, E. Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders. J. Compos. Sci. 2025, 9, 211. https://doi.org/10.3390/jcs9050211
Tarawneh A, Amirah H, Alghossoon A, Almasabha G, Al-Mazaidh R, Saleh E. Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders. Journal of Composites Science. 2025; 9(5):211. https://doi.org/10.3390/jcs9050211
Chicago/Turabian StyleTarawneh, Ahmad, Hadeel Amirah, Abdullah Alghossoon, Ghassan Almasabha, Ra’ed Al-Mazaidh, and Eman Saleh. 2025. "Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders" Journal of Composites Science 9, no. 5: 211. https://doi.org/10.3390/jcs9050211
APA StyleTarawneh, A., Amirah, H., Alghossoon, A., Almasabha, G., Al-Mazaidh, R., & Saleh, E. (2025). Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders. Journal of Composites Science, 9(5), 211. https://doi.org/10.3390/jcs9050211