Influence of Mineral Admixtures on the Performance of Pervious Concrete and Microscopic Research
Abstract
:1. Introduction
2. Test Program
2.1. Raw Materials
- (1)
- Cement
- (2)
- Coarse aggregate
- (3)
- Mineral admixture
- (4)
- Reinforcing agent
- (5)
- Water reducer and water
2.2. Preparation and Maintenance of Test Blocks
2.3. Test Methods
- (1)
- Compressive strength
- Fmax—maximum load (N);
- A—specimen compressive area (mm2).
- (2)
- Permeability coefficient
- ∆H—water level difference, i.e., 200 mm;
- ∆T—time taken for the water level to drop from 200 mm to 0 mm.
- (3)
- Porosity
- ρw is the density of the water.
- (4)
- Microscopic tests
3. Experimental Design
3.1. Orthogonal Design of Experiment
3.2. Optimal Mix Ratio
- (1)
- The influence of different factors on the 28-day compressive strength (as shown in Figure 6)—aggregate particle size, water–binder ratio, designed porosity, and fly ash—showed a trend of first increasing and then decreasing, while silica fume showed a trend of decreasing. It was determined that the optimal mix horizontal combination for the compressive strength of pervious concrete was A2B2C2D3E1, that is, an aggregate particle size of 6–9 mm, the water–binder ratio if 0.28, designed porosity of 20%, fly ash content of 20%, and silica fume content of 2%.
- (2)
- The influence of different factors on the permeability coefficient (as shown in Figure 7)—aggregate particle size, water–binder ratio, and design porosity—showed a trend of first decreasing, then increasing, and then decreasing, while fly ash and silica fume showed a trend of first increasing, then decreasing, and then increasing. The optimal mix horizontal combination of pervious concrete for the permeability coefficient was determined as A3B3C4D2E2, that is, an aggregate particle size of 9~12 mm, water–binder ratio of 0.31, design porosity of 30%, fly ash content of 15%, and silica fume content of 4%.
- (3)
- The influences of different factors on porosity (as shown in Figure 8) were as follows: the aggregate particle size showed a downward trend, the water–binder ratio decreased first, then increased, and then decreased, the designed porosity and silica fume showed an upward trend, and the fly ash rose first, then decreased, and then increased. The optimal mix horizontal combination of pervious concrete for porosity was determined as A1B3C4D2E4, that is, an aggregate particle size of 3~6 mm, water–binder ratio of 0.31, designed porosity of 30%, fly ash content of 15%, and silica fume content of 8%.
3.3. Design Methodology for the Effect of Mineral Admixtures on the Optimum Mix Ratio
4. Results and Analysis
4.1. Results of 28 d Compressive Strength, Permeability Coefficient, and Measured Porosity
- (1)
- Analysis of 28 d compressive strength: The compressive strength of TS-3 was significantly enhanced compared to TS-1 and TS-2. Compared to TS-1, TS-2 had some improvement in compressive strength, but the enhancement was limited. The 28 d compressive strength of TS-3 was nearly doubled. Fly ash and silica fume were used as mineral admixtures to improve the compactness and strength of concrete. Silica fume reacted with the hydration products of cement and could fill the pores of concrete, further improving its strength and impermeability. At the same time, reinforcing agents could also increase the cohesion and compressive strength of concrete, thus improving its overall performance. When the added amounts were all optimal, the combined admixture of fly ash, silica fume, and reinforcing agent could effectively increase the 28-day compressive strength of permeable concrete.
- (2)
- Analysis of permeability coefficient: Relative to TS-1, TS-3 and TS-2 showed different degrees of decline. The permeability coefficient of TS-2 decreased by about 6%, and that of TS-3 decreased by about 36% but was still higher. TS-2 contained a small amount of reinforcing agent admixture, which had a slight effect on the size of the pore space of the permeable concrete. TS-3 contained fly ash, silica fume, and reinforcing agent, which filled part of the pore space of the permeable concrete through the hydration reaction, resulting in a larger decrease in the water permeability coefficient. It was determined that the permeability coefficient and 28-day compressive strength have a relationship of mutual constraint.
- (3)
- Analysis of measured porosity: The designed porosity of this test was 20%. The measured porosity was close to the designed porosity, and the degree of influence was not significant.
4.2. Microanalysis
- (1)
- SEM
- (2)
- XRD
5. Conclusions
- (a)
- A variety of factors influence the proportion and performance of permeable concrete. The preparation of a specimen with the optimal aggregate particle size of 6~9 mm, water/cement ratio of 0.28, designed porosity of 20%, fly ash admixture of 20%, and silica fume admixture of 6% resulted in a 28 d compressive strength of 18.33 MPa, permeability coefficient of 8.27 mm/s, and measured porosity of 19.53%. The compressive strength and permeability coefficient of the specimen met the scope of a “sponge city”, which can provide a reference basis for its application in relevant research projects.
- (b)
- The performance of pervious concrete can be effectively improved by adding fly ash, silica fume, and the optimum content of reinforcement (TS-3) at the same time. Compared with the unblended mineral admixture (TS-1), the 28-day compressive strength is about double. Furthermore, the permeability coefficient decreased by 36%, but still remained at a high level. Additionally, there was little difference between the measured porosity and the designed porosity. In practical applications, the amount of cement can be reduced and costs can thus be saved. As well as improving the quality of the project, this can also achieve the goal of resource reuse and environmental sustainability.
- (c)
- According to scanning electron microscopy and XRD pattern analysis, the optimum admixture of fly ash, silica fume, and reinforcing agent had a positive effect on the main properties of pervious concrete. Its hydration reaction was more thorough, generating a large number of hydrated C-S-H gels, which could improve the microstructure and pore structure of the concrete, giving it a denser microstructure and fewer pores. This was consistent with the substantial increase in the macroscopic compressive strength and decrease in the permeability coefficient.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Density (kg/m3) | Specific Surface Area (m2/kg) | Stability | Setting Time (min) | 3 d Compressive Strength (MPa) | 28 d Compressive Strength (MPa) | |||
---|---|---|---|---|---|---|---|---|
Initial Set | Final Set | Compressive | Flexural | Compressive | Flexural | |||
3100 | 378 | Eligible | 245 | 294 | 21.8 | 5.1 | 50.8 | 8.3 |
Aggregate Size | Density (kg/m3) | Bulk Density (kg/m3) | Voidage (%) | Mud Content (%) | Crushing Value (%) | Needle and Flake Content (%) |
---|---|---|---|---|---|---|
3~6 mm | 2725 | 1624 | 40.40 | <0.5 | <15.0 | <20.0 |
6~9 mm | 2716 | 1599 | 41.13 | |||
9~12 mm | 2750 | 1601 | 41.78 | |||
12~15 mm | 2724 | 1539 | 43.50 |
Name | Test Item | Numerical Value |
---|---|---|
Fly ash | Density/kg·m3 | 2550 |
Packing density/kg·m3 | 1120 | |
Fineness/% (5 µm square mesh screen ≤ 18%) | 16 | |
Water content/% | 0.85 | |
Silicon trioxide/% | 24.2 | |
Silicon dioxide/% | 45.1 | |
Silica fume | Density/kg·m−3 | 2800 |
Silicon dioxide/% | 98.1 | |
Burn reduction/% | 1.48 | |
Specific surface area/% | 21 | |
Water demand ratio/% | 112 | |
Activity index (28 d)/% | 105 |
Density | Fineness (0.315 mm Sieve Residue) | PH Value | Moisture Content | Total Alkali Content | Sodium Sulfate Content |
---|---|---|---|---|---|
2440 kg/m3 | 1.52% | 11.94 | 1.18% | 5.10% | 1.02% |
Density | Water-Reducing Rate | Gas Content | Bleeding Rate Ratio | PH Value |
---|---|---|---|---|
1060 kg/m3 | 28% | 3.0% | 20% | 5.2 |
Factor | Gravel Size /mm (A) | Water–Binder Ratio (B) /% (B) | Designed Porosity/% (C) | Fly Ash Content/% (D) | Silica Fume Content/% (E) | |
---|---|---|---|---|---|---|
Level | ||||||
Level 1 | 3~6 | 0.25 | 15 | 10 | 2 | |
Level 2 | 6~9 | 0.28 | 20 | 15 | 4 | |
Level 3 | 9~12 | 0.31 | 25 | 20 | 6 | |
Level 4 | 12~15 | 0.34 | 30 | 25 | 8 |
Factor | A | B | C | D | E | |
---|---|---|---|---|---|---|
Test | ||||||
T-1 | 1 | 1 | 1 | 1 | 1 | |
T-2 | 1 | 2 | 2 | 2 | 2 | |
T-3 | 1 | 3 | 3 | 3 | 3 | |
T-4 | 1 | 4 | 4 | 4 | 4 | |
T-5 | 2 | 1 | 2 | 3 | 4 | |
T-6 | 2 | 2 | 1 | 4 | 3 | |
T-7 | 2 | 3 | 4 | 1 | 2 | |
T-8 | 2 | 4 | 3 | 2 | 1 | |
T-9 | 3 | 1 | 3 | 4 | 2 | |
T-10 | 3 | 2 | 1 | 3 | 1 | |
T-11 | 3 | 3 | 4 | 2 | 4 | |
T-12 | 3 | 4 | 2 | 1 | 3 | |
T-13 | 4 | 1 | 4 | 2 | 3 | |
T-14 | 4 | 2 | 3 | 1 | 4 | |
T-15 | 4 | 3 | 2 | 4 | 1 | |
T-16 | 4 | 4 | 1 | 3 | 2 |
Test | Average 28-Day Compressive Strength/MPa | Average Permeability Coefficient/cm·s−1 | Average Value of Measured Porosity/% |
---|---|---|---|
T-1 | 17.9 | 1.03 | 18.6 |
T-2 | 23.8 | 1.29 | 20.4 |
T-3 | 12.6 | 1.98 | 28.4 |
T-4 | 6.2 | 2.41 | 32.9 |
T-5 | 21.8 | 0.89 | 22.5 |
T-6 | 27.7 | 0.45 | 14.8 |
T-7 | 6.1 | 3.10 | 30.3 |
T-8 | 12.2 | 1.25 | 25.4 |
T-9 | 13.4 | 2.72 | 24.1 |
T-10 | 25.3 | 1.26 | 17.4 |
T-11 | 8.5 | 2.73 | 27.7 |
T-12 | 13 | 0.58 | 19.6 |
T-13 | 7.2 | 2.10 | 26.7 |
T-14 | 16.3 | 0.92 | 22.7 |
T-15 | 10.7 | 0.66 | 18.1 |
T-16 | 7.9 | 0 | 6.3 |
28-Day Compressive Strength /MPa | Permeability Coefficient /c m·s−1 | Measured Porosity /% | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | A | B | C | D | E | A | B | C | D | E | |
K1 | 60.5 | 60.3 | 62 | 53.3 | 66.1 | 6.7 | 6.7 | 4.2 | 5.6 | 4.2 | 100.3 | 91.9 | 67.4 | 86.6 | 79.5 |
K2 | 67.8 | 93.1 | 69.3 | 51.7 | 51.2 | 5.7 | 3.9 | 3.4 | 7.4 | 7.1 | 93 | 75.3 | 80.6 | 100.2 | 81.1 |
K3 | 60.2 | 37.9 | 54.5 | 67.6 | 60.5 | 7.3 | 8.5 | 6.9 | 4.1 | 5.1 | 88.8 | 104.5 | 100.6 | 74.6 | 89.5 |
K4 | 42.1 | 39.3 | 44.8 | 58 | 52.8 | 3.7 | 4.2 | 8.9 | 6.2 | 6.9 | 73.8 | 84.2 | 107.3 | 89.9 | 105.7 |
k1 | 15.1 | 15.1 | 15.5 | 13.3 | 16.5 | 1.7 | 1.7 | 1.1 | 1.4 | 1.1 | 25.1 | 23 | 16.9 | 22.8 | 19.9 |
k2 | 16.9 | 23.3 | 17.3 | 12.9 | 12.8 | 1.4 | 1.0 | 0.8 | 1.8 | 1.8 | 23.3 | 18.8 | 20.2 | 25.1 | 20.3 |
k3 | 15.1 | 9.5 | 13.6 | 16.9 | 15.1 | 1.8 | 2.1 | 1.7 | 1.0 | 1.3 | 22.2 | 26.1 | 25.2 | 18.7 | 22.4 |
k4 | 10.5 | 9.8 | 11.2 | 14.5 | 13.2 | 0.9 | 1.1 | 2.2 | 1.6 | 1.7 | 18.5 | 21.1 | 26.8 | 22.5 | 26.4 |
R | 6.4 | 13.8 | 6.1 | 4.0 | 3.7 | 0.9 | 1.1 | 1.4 | 0.8 | 0.7 | 6.6 | 7.3 | 10.1 | 6.4 | 6.5 |
Number | Water–Cement Ratio/% | Porosity/% | Fly Ash/% | Silica Fume/% | Material Usage | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Aggregate /kg·m−3 | Cement/kg·m−3 | Fly Ash/kg·m−3 | Silica Fume/kg·m−3 | Water /kg·m−3 | Reinforcing Agent/kg·m−3 | Water-Reducing Agent/kg·m−3 | |||||
TS-1 | 0.28 | 20 | 0 | 0 | 1592 | 353.35 | 0 | 0 | 98.93 | 0 | 0.71 |
TS-2 | 0.28 | 20 | 0 | 0 | 1592 | 342.91 | 0 | 0 | 98.93 | 10.44 | 0.71 |
TS-3 | 0.28 | 20 | 20 | 6 | 1592 | 261 | 65.25 | 16.66 | 98.93 | 10.44 | 0.71 |
Test | Average 28d Compressive Strength/MPa | Average Permeability Coefficient Value/mm·s−1 | Average Measured Porosity Value/% |
---|---|---|---|
TS-1 | 9.2 | 12.90 | 22.80 |
TS-2 | 12.23 | 12.07 | 21.16 |
TS-3 | 18.33 | 8.27 | 19.53 |
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Yuan, W.; Ji, L.; Meng, L.; Fang, M.; Zhang, X. Influence of Mineral Admixtures on the Performance of Pervious Concrete and Microscopic Research. Buildings 2024, 14, 533. https://doi.org/10.3390/buildings14020533
Yuan W, Ji L, Meng L, Fang M, Zhang X. Influence of Mineral Admixtures on the Performance of Pervious Concrete and Microscopic Research. Buildings. 2024; 14(2):533. https://doi.org/10.3390/buildings14020533
Chicago/Turabian StyleYuan, Wenhua, Lianjie Ji, Long Meng, Min Fang, and Xiangchi Zhang. 2024. "Influence of Mineral Admixtures on the Performance of Pervious Concrete and Microscopic Research" Buildings 14, no. 2: 533. https://doi.org/10.3390/buildings14020533
APA StyleYuan, W., Ji, L., Meng, L., Fang, M., & Zhang, X. (2024). Influence of Mineral Admixtures on the Performance of Pervious Concrete and Microscopic Research. Buildings, 14(2), 533. https://doi.org/10.3390/buildings14020533