Nonlinear Inverse Analysis for Predicting the Tensile Properties of Strain-Softening and Strain-Hardening UHPFRC
Abstract
:1. Introduction
2. Experimental Program
2.1. Materials and Test Setup
2.2. Experimental Results
3. Derivation of Nonlinear Inverse Method
3.1. Proposed Stress–Strain Relationship
3.2. Derivation of Closed Form Moment–Curvature Formulation
3.3. Load–Deflection Response
3.4. Algorithm to Predict the Tensile Properties
- Firstly, the σ-ε relationship is divided into n pieces according to the different precision requirement. Then, some initial parameters, including specimen size and constant coefficient, should be determined;
- An initial value is assigned to the stress σi+1, and then the moment–curvature response can be generated using Equations (12) and (13). Next, the load–deflection response for a notched beam can be calculated by using Equations (18) and (19);
- The stress σi+1 is adjusted, and then step 2 is repeated until the calculated load–deflection response fit the experimental results within acceptable error tolerance;
- The stress–strain relationship and the approximate load–deflection curve can be obtained by repeating steps 2 and 3.
4. Verification of Nonlinear Inverse Method
4.1. Comparison with Direct Tensile Test Results
4.2. Comparison with Existing Inverse Method
4.3. Summary of Method Verification
5. Application of the Proposed Method for Parametric Studies
5.1. Application of Predicting Tensile Behavior
5.2. Effect of the Number of Segments
5.3. Effect of Notch-to-Depth Ratio
5.4. Effect of Postcracking Strength
6. Conclusions
- The verifications indicated that the segmented stress–strain model used in the nonlinear inverse analysis was capable of describing various tensile properties of the UHPFRC, including strain softening and strain hardening. Both the tensile strain–stress relationship and the load–deflection response showed good agreement between the experimental and analytical results. However, the accuracy of the predicted result was significantly affected by the scatter of the experimental load–deflection response;
- A high sensitivity of the proposed method was observed with a fiber volume fraction varying from 0.5% to 4%. The deflection-softening behavior was simulated for the UHPFRC beams with the fiber volume fraction of 0.5%, in accord with test result. That the strain-softening behavior resulted in a deflection-hardening response was also identified by the prediction. For a strain-softening UHPFRC with deflection-hardening behavior in bending, the deflection corresponding to the bending strength was insensitive to the fiber volume fraction;
- For the strain-hardening UHPFRC, the predicted ultimate tensile strength was highly sensitive to the number of segments. The overestimation of the ultimate tensile strength was less than 4% with increasing the number of segments to five. However, with reducing the number of segments to three, the overestimation of the postcracking strength reached around 10%. Therefore, this method with a controllable accuracy can be adapted for academic research and structural design;
- The load–deflection response of the UHPFRC beam specimens was significantly affected by the notch-to-depth ratio. With a lower notch-to-depth ratio, the deflection-hardening behavior was more obvious, and softening occurred more quickly. Nonetheless, the bending strength was slightly affected by the notch-to-depth ratio;
- For a strain-softening material, a significant deflection-hardening response was observed with the postcracking strength larger than 75% of the first cracking strength and the corresponding transition strain of 0.15%. Both the postcracking strength and the transition strain are most important factors to the bending strength and ductility of the strain-softening UHPFRC.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Water | Cement | Silica Fume | Fine Aggregate | Coarse Aggregate | Superplasticizer |
---|---|---|---|---|---|
0.24 | 1 | 0.23 | 1.08 | 1.24 | 0.034 |
Diameter (mm) | Length (mm) | Aspect Ratio (Lf/Df) | Elastic Modulus (GPa) | Tensile Strength (MPa) | Density (kg/m3) |
---|---|---|---|---|---|
0.2 | 16 | 80 | 200 | 2500 | 7850 |
Test Group | fc (MPa) | E0 (GPa) | PMOR (kN) | δMOR (mm) |
---|---|---|---|---|
Vf = 0.5% | 139.9(2.65) | 55.40(0.68) | 29.5(0.78) | 0.05(0.001) |
Vf = 0.75% | 135.2(3.21) | 50.96(0.97) | 35.2(0.64) | 0.42(0.026) |
Vf = 1.0% | 134.2(2.37) | 52.24(1.39) | 47.1(2.13) | 0.47(0.065) |
Vf = 1.25% | 140.6(1.80) | 49.31(0.55) | 54.4(0.35) | 0.51(0.063) |
Vf = 1.5% | 147.3(1.74) | 56.52(0.83) | 65.1(2.42) | 0.53(0.059) |
Test Series | Lf/df (mm/mm) | Vf (%) | L (mm) | b (mm) | d (mm) | a (mm) | E0 (GPa) | κ | ν |
---|---|---|---|---|---|---|---|---|---|
1 | 9/0.175 | 2.5 | 500 | 150 | 150 | 25 | 46.1 | 1.2 | 0.2 |
2 | 17/0.2 | 1 | 500 | 150 | 150 | 25 | 45.0 | 1.2 | 0.2 |
Test Series | Lf/df (mm/mm) | Vf (%) | L (mm) | b (mm) | d (mm) | a (mm) | E0 (GPa) | fc (MPa) | κ | ν |
---|---|---|---|---|---|---|---|---|---|---|
UH-V1 | 13/0.2 | 1 | 300 | 100 | 100 | 10 | 51.0 | 197.1 | 1.2 | 0.2 |
UH-V2 | 2 | 50.5 | 201.6 | |||||||
UH-V3 | 3 | 52.5 | 207.2 | |||||||
UH-V4 | 4 | 48.5 | 185.1 |
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Guo, Y.-Q.; Wang, J.-Y.; Gu, J.-B. Nonlinear Inverse Analysis for Predicting the Tensile Properties of Strain-Softening and Strain-Hardening UHPFRC. Materials 2022, 15, 3067. https://doi.org/10.3390/ma15093067
Guo Y-Q, Wang J-Y, Gu J-B. Nonlinear Inverse Analysis for Predicting the Tensile Properties of Strain-Softening and Strain-Hardening UHPFRC. Materials. 2022; 15(9):3067. https://doi.org/10.3390/ma15093067
Chicago/Turabian StyleGuo, Yi-Qing, Jun-Yan Wang, and Jin-Ben Gu. 2022. "Nonlinear Inverse Analysis for Predicting the Tensile Properties of Strain-Softening and Strain-Hardening UHPFRC" Materials 15, no. 9: 3067. https://doi.org/10.3390/ma15093067
APA StyleGuo, Y. -Q., Wang, J. -Y., & Gu, J. -B. (2022). Nonlinear Inverse Analysis for Predicting the Tensile Properties of Strain-Softening and Strain-Hardening UHPFRC. Materials, 15(9), 3067. https://doi.org/10.3390/ma15093067