Analysis and Modelling of Shrinkage and Creep of Reactive Powder Concrete
Abstract
:1. Introduction
2. Materials and Mix Proportions
2.1. Raw Materials
2.2. RPC Mixtures and Curing Conditions
- (I)
- The cement, silica fume, quartz sand, and quartz powder are mixed in a dry state for approximately 2 min at a low speed of approximately 140 rpm. During this dry mixing process, steel fibre was added to the mixtures.
- (II)
- 50% of the water and 50% of the superplasticizer were gradually added to the mixtures, and the mixtures were stirred for 3 min at a high speed of approximately 280 rpm.
- (III)
- The remaining 50% of the water and the superplasticizer were added to the mixtures, which were then stirred again for 3 min at a high speed of approximately 280 rpm.
- (IV)
- After mixing, the RPC was poured into moulds and vibrated until fully consolidated.
3. Experiments
3.1. Compressive Strength and Elastic Modulus Tests
3.2. Shrinkage Tests of RPC
3.3. Creep Tests of RPC
4. Results and Discussion
4.1. Compressive Strength and Elastic Modulus of RPC
4.2. Shrinkage of RPC
- (I)
- During the process of mixing the steel fibre into the RPC matrix, some micron-scale water films are formed on the steel fibre surface. As a result, calcium hydroxide crystals form directly on the surface of the fibre and grow with no constraints, which forms a loose reticular structure at the interface of the steel fibre and RPC matrix, thereby reducing shrinkage [43].
- (II)
4.3. Creep of RPC
4.3.1. Effect of the Axial Stress Ratio on the Creep of RPC
4.3.2. Effect of Steel Fibre on Creep of RPC
- (I)
- Even within the linear creep range, when the RPC carries a compressive load, microcracks can form and develop gradually inside the RPC due to the inhomogeneity of the RPC matrix. As the microcracks emerge during the later stage, the steel fibres passing through the microcracks can prevent the microcracks from developing further. Hence, the creep strain is reduced.
- (II)
- During the early period after loading, the steel fibre and RPC matrix produce a section slip. As a result, the inhibition effect of the steel fibre on creep is not significant. On the other hand, during the later period after loading, the slip between the steel fibre and RPC matrix tends to be stable. Hence, the ability of steel fibre to inhibit creep gradually appears.
4.4. Comparison of Shrinkage and Creep of RPC with Existing Models
4.5. Shrinkage and Creep Model of RPC
5. Conclusions
- (1)
- The compressive strength of RPC is obviously higher than normal strength concrete due to its dense microstructure. The compressive strength and the modulus elastic increase with increasing steel fibre content, as the streel fibre restricts the development of microcracks and transverse deformation.
- (2)
- The shrinkage of RPC is much smaller than normal strength concrete with the improved uniformity and the narrowed pore size. The shrinkage decreases with increasing steel fibre content due to the micro-scale water films formed on the steel fibre surface and skeleton formed by the cross and overlap of steel fibre.
- (3)
- The creep of RPC decreases with increasing steel fibre content which is obvious during the later period after loading, as steel fibre can prevent the development of microcracks (emerging mainly during the later stage). Besides, the slip between the steel fibre and RPC matrix tends to be stable in the later period, the ability of steel fibre to inhibit creep gradually appears.
- (4)
- For axial stress ratios of less than 0.4, the creep strain of RPC varies linearly with the axial stress (RPC is in the linear creep stage).
- (5)
- The shrinkage strains of RPC predicted by the ACI 209-82 model, B3 model, and GL 2000 model are significantly greater than the corresponding experimental results. However, the shrinkage strains of RPC predicted by the CEB-FIP 90 model are significantly smaller than the experimental results. Moreover, all four models overestimate the creep strain of RPC. Thus, these models cannot be used for predicting the shrinkage and creep of RPC.
- (6)
- Simple shrinkage and creep models for RPC which consider the influence of steel fibre have been developed.
Author Contributions
Acknowledgments
Conflicts of Interest
References
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Constituent | Cement (%) | Silica Fume (%) |
---|---|---|
CaO | 63.37 | 0.39 |
SiO2 | 22.08 | 95.11 |
Al2O3 | 5.72 | 0.43 |
Fe2O3 | 3.05 | 0.42 |
K2O | 0.43 | 0.48 |
MgO | 2.02 | 0.17 |
Na2O | 0.19 | 0.19 |
Equivalent alkalis (Na2O + 0.658K2O) | 0.33 | 0.64 |
SO3 | 2.10 | 0.28 |
Loss on ignition | 0.71 | 1.89 |
W/B | Cement | SF | Quartz Sand | Quartz Powder | SP | ST 1 (%) |
---|---|---|---|---|---|---|
0.20 | 1.00 | 0.30 | 0.70 | 0.35 | 0.024 | 0 |
0.20 | 1.00 | 0.30 | 0.70 | 0.35 | 0.024 | 1 |
0.20 | 1.00 | 0.30 | 0.70 | 0.35 | 0.024 | 2 |
Group | t0 (day) | Δt (day) | fc (MPa) | η | ST% |
---|---|---|---|---|---|
I | 28 | 330 | 120 | 0.2 | 0 |
II | 329 | 120 | 0.3 | 0 | |
III | 329 | 120 | 0.4 | 0 | |
IV | 329 | 134 | 0.3 | 1 | |
V | 329 | 142 | 0.3 | 2 |
Parameters | ACI 209-82 | CEB-FIP 90 | B3 | GL 2000 |
---|---|---|---|---|
fc28 (MPa) | - | 20–90 | 17.2–69 | 16–82 |
Cement content (kg/m3) | - | - | 160–719 | - |
W/B | - | - | 0.35–0.85 | 0.40–0.60 |
Relative humidity (%) | 40–100 | 40–100 | 40–100 | 20–100 |
tc (Moist cured) | ≥7 days | ≤14 days | - | ≥1 day |
tc (Steam cured) | ≥1 day | ≤14 days | - | ≥1 day |
η | ≤0.4 | ≤0.4 | ≤0.45 | ≤0.4 |
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Chen, P.; Zheng, W.; Wang, Y.; Chang, W. Analysis and Modelling of Shrinkage and Creep of Reactive Powder Concrete. Appl. Sci. 2018, 8, 732. https://doi.org/10.3390/app8050732
Chen P, Zheng W, Wang Y, Chang W. Analysis and Modelling of Shrinkage and Creep of Reactive Powder Concrete. Applied Sciences. 2018; 8(5):732. https://doi.org/10.3390/app8050732
Chicago/Turabian StyleChen, Pang, Wenzhong Zheng, Ying Wang, and Wei Chang. 2018. "Analysis and Modelling of Shrinkage and Creep of Reactive Powder Concrete" Applied Sciences 8, no. 5: 732. https://doi.org/10.3390/app8050732
APA StyleChen, P., Zheng, W., Wang, Y., & Chang, W. (2018). Analysis and Modelling of Shrinkage and Creep of Reactive Powder Concrete. Applied Sciences, 8(5), 732. https://doi.org/10.3390/app8050732