Testing and Prediction of the Strength Development of Recycled-Aggregate Concrete with Large Particle Natural Aggregate
Abstract
:1. Introduction
2. Materials and Methods
2.1. Raw Materials
2.2. Mix Proportions of RAC
2.3. Specimen Preparation and Testing
3. Results and Discussion
3.1. Properties of Fresh RAC
3.2. Development of Compressive Strength
3.3. Development of the Splitting Tensile Strength
4. Prediction of Strength Development
4.1. Compressive Strength
4.2. Splitting Tensile Strength
5. Assessment by Commonly Used Models
6. Conclusions
- (1)
- The compressive and tensile strength of the new RAC with large particle natural aggregate grew in trends as rapid, fast to steady with an increase of curing age. This was affected by the water/cement ratio and strength grade of the cement. When w/c = 0.6 and 0.49, the compressive strength was higher for the RAC with 30% natural aggregate, while the tensile strength was not obviously influenced by the amount of natural aggregate. When w/c = 0.41 and 0.36, the compressive and splitting tensile strengths were higher for the RAC with 50% and 70% natural aggregate, while the strengths benefited from 30% natural aggregate. This indicates that the rational amount of large particle natural aggregate existed in the RAC with a different water/cement ratio.
- (2)
- Based on the modification to a predictive model of compressive strength of conventional concrete, the predictive equation of compressive strength of the RAC at any curing age is proposed, in which the main influence factors are the strength and density of cement, the water/cement ratio and the curing age. By introducing the relationship between splitting tensile strength and compressive strength of the RAC at any curing age, the splitting tensile strength can be predicted from the compressive strength at the same curing age. After the fitness analyses, the large prediction can be controlled within 10% over test results. This provides a convenient method for engineering applications.
- (3)
- A rational amount of large particle natural aggregate can be determined to get good strength development. It should be no more than 30% for the RAC in a strength grade no larger than C30 with w/c = 0.60 and 0.49, and no less than 50% for the RAC in a strength grade no less than C40 with w/c = 0.41 and 0.36. Along with the general prediction of the strength development of all tested RAC, the optimal predictive formulas are proposed for the strength development of the RAC with a rational amount of natural aggregate.
- (4)
- The test results of the RAC with a rational amount of natural aggregate are assessed by the commonly used time-dependent models proposed by ACI and CEB-FIP. These models are conservative to predict the strength development of the RAC, except that the CEB-FIP model provides a higher tensile strength at 3 days.
- (5)
- Due to the lack of studies on the safe prediction of the strength development of RAC with different amounts of large particle natural aggregate, the modern design experimental method needs to be used to estimate numerical mechanical characteristics without the need for real tests.
Author Contributions
Funding
Conflicts of Interest
References
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Coarse Aggregate | RA-N0 | RA-N30 | RA-N50 | RA-N70 |
---|---|---|---|---|
Natural aggregate (%) | 0 | 30 | 50 | 70 |
Apparent density (kg/m3) | 2634.1 | 2691.5 | 2732.8 | 2735.1 |
Bulk density (kg/m3) | 1345.8 | 1410.1 | 1463.2 | 1469.7 |
Close-compacted density (kg/m3) | 1452.3 | 1512.4 | 1600.2 | 1612.9 |
Moisture content (%) | 3.2 | 2.1 | 1.7 | 0.9 |
Water absorption of 24 h (%) | 5.1 | 4.7 | 3.2 | 1.9 |
Crushed index (%) | 14.7 | 14.1 | 13.5 | 13.2 |
Silt content (%) | 0.42 | 0.29 | 0.21 | 0.19 |
Properties | Values |
---|---|
Fineness modulus | 3.5 |
Apparent density (kg/m3) | 2395.7 |
Bulk density (kg/m3) | 1330 |
Close-compacted density (kg/m3) | 1470 |
Moisture content (%) | 5.70 |
Water absorption of 24 h (%) | 9.45 |
Crush index (%) | 9.35 |
Grade | Density (kg/m3) | Water Requirement of Standard Consistency (%) | Setting Time (min) | Compressive Strength (MPa) | Flexural Strength (MPa) | |||
---|---|---|---|---|---|---|---|---|
Initial | Final | 3 days | 28 days | 3 days | 28 days | |||
42.5 | 3071 | 26.9 | 168 | 269 | 28.9 | 45.2 | 4.00 | 5.30 |
52.5 | 3132 | 29.2 | 142 | 238 | 37.1 | 57.9 | 6.45 | 8.64 |
Mix | w/c | Natural Aggregate (%) | Cement (kg/m3) | Water (kg/m3) | Fine RA (kg/m3) | Coarse Aggregate (kg/m3) | Additional Water (kg/m3) | |
---|---|---|---|---|---|---|---|---|
Natural | Recycled | |||||||
RAC-N0A | 0.6 | 0 | 332 | 200 | 651 | 0 | 1157 | 54.9 |
RAC-N30A | 0.6 | 30 | 332 | 200 | 734 | 304 | 710 | 55.6 |
RAC-N50A | 0.6 | 50 | 332 | 200 | 736 | 508 | 508 | 50.4 |
RAC-N70A | 0.6 | 70 | 332 | 200 | 737 | 712 | 305 | 45.3 |
RAC-N0B | 0.49 | 0 | 409 | 200 | 626 | 0 | 1114 | 52.8 |
RAC-N30B | 0.49 | 30 | 409 | 200 | 708 | 293 | 684 | 53.6 |
RAC-N50B | 0.49 | 50 | 409 | 200 | 709 | 490 | 490 | 51.1 |
RAC-N70B | 0.49 | 70 | 409 | 200 | 711 | 687 | 294 | 43.6 |
RAC-N0C | 0.41 | 0 | 435 | 180 | 608 | 0 | 1119 | 53.1 |
RAC-N30C | 0.41 | 30 | 435 | 180 | 688 | 310 | 722 | 53.6 |
RAC-N50C | 0.41 | 50 | 435 | 180 | 689 | 517 | 517 | 48.3 |
RAC-N70C | 0.41 | 70 | 435 | 180 | 691 | 691 | 311 | 43.6 |
RAC-N0D | 0.36 | 0 | 503 | 180 | 612 | 0 | 1089 | 51.2 |
RAC-N30D | 0.36 | 30 | 503 | 180 | 697 | 288 | 674 | 52.8 |
RAC-N50D | 0.36 | 50 | 503 | 180 | 698 | 482 | 482 | 47.9 |
RAC-N70D | 0.36 | 70 | 503 | 180 | 700 | 676 | 290 | 42.9 |
Trial No. | Groups | Designed Curing Age t (days) |
---|---|---|
A, B, C, D | 4 × (4 × 10) for compressive strength 4 × (4 × 10) for splitting tensile strength | 3, 7, 28, 60, 90, 150, 180, 240, 300, 360 |
RAC | 30A/0A | 50A/0A | 70A/0A | 30B/0B | 50B/0B | 70B/0B | 30C/0C | 50C/0C | 70C/0C | 30D/0D | 50D/0D | 70D/0D |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Number | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |
Mean ratio | 1.063 | 0.949 | 0.954 | 1.036 | 0.945 | 0.944 | 1.044 | 1.129 | 1.158 | 1.014 | 1.119 | 1.146 |
Variation coefficient | 0.044 | 0.035 | 0.037 | 0.042 | 0.030 | 0.055 | 0.036 | 0.031 | 0.044 | 0.025 | 0.034 | 0.031 |
RAC | 30A/0A | 50A/0A | 70A/0A | 30B/0B | 50B/0B | 70B/0B | 30C/0C | 50C/0C | 70C/0C | 30D/0D | 50D/0D | 70D/0D |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Number | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |
Mean ratio | 0.998 | 0.979 | 1.010 | 0.993 | 1.008 | 1.017 | 1.007 | 1.111 | 1.112 | 1.029 | 1.094 | 1.125 |
Variation coefficient | 0.029 | 0.046 | 0.031 | 0.017 | 0.031 | 0.031 | 0.016 | 0.029 | 0.031 | 0.018 | 0.034 | 0.034 |
RAC trials | A | B | C | D |
---|---|---|---|---|
k | 0.068 | 0.071 | 0.074 | 0.076 |
Correlation coefficient | 0.954 | 0.952 | 0.838 | 0.830 |
Standard error | 0.005 | 0.006 | 0.002 | 0.005 |
RAC-N | 0A | 30A | 50A | 70B | 0B | 30B | 50B | 70B |
Number | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Mean ratio | 1.02 | 1.07 | 0.96 | 0.97 | 1.01 | 1.04 | 0.94 | 0.95 |
Variation coefficient | 2.01% | 3.32% | 4.52% | 3.91% | 5.24% | 2.05% | 4.21% | 1.89% |
Correlation coefficient | 0.991 | 0.987 | 0.972 | 0.981 | 0.982 | 0.991 | 0.985 | 0.993 |
RAC-N | 0C | 30C | 50C | 70C | 0D | 30D | 50D | 70D |
Number | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Mean ratio | 0.88 | 0.90 | 1.02 | 1.06 | 0.90 | 0.91 | 1.02 | 1.08 |
Variation coefficient | 5.02% | 7.24% | 4.60% | 5.83% | 5.69% | 6.14% | 5.21% | 4.47% |
Correlation coefficient | 0.985 | 0.971 | 0.992 | 0.981 | 0.961 | 0.963 | 0.981 | 0.985 |
RAC-N | 0A | 30A | 0B | 30B | 50C | 70C | 50D | 70D |
---|---|---|---|---|---|---|---|---|
Number | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Mean ratio | 0.98 | 1.02 | 0.97 | 1.01 | 0.97 | 1.01 | 0.98 | 1.02 |
Variation coefficient | 4.21% | 3.72% | 4.94% | 3.11% | 3.51% | 6.18% | 4.66% | 5.62% |
Correlation coefficient | 0.941 | 0.961 | 0.972 | 0.985 | 0.992 | 0.972 | 0.979 | 0.982 |
RAC-N | 0A | 30A | 50A | 70B | 0B | 30B | 50B | 70B |
Number | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Mean ratio | 1.08 | 1.06 | 1.05 | 1.06 | 1.0 | 1.02 | 1.01 | 0.99 |
Variation coefficient | 9.17% | 10.38% | 6.79% | 9.72% | 7.87% | 3.16% | 8.43% | 4.89% |
Correlation coefficient | 0.989 | 0.978 | 0.975 | 0.978 | 0.975 | 0.978 | 0.924 | 0.966 |
RAC-N | 0C | 30C | 50C | 70C | 0D | 30D | 50D | 70D |
Number | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Mean ratio | 0.89 | 0.92 | 1.02 | 1.04 | 0.96 | 0.95 | 1.05 | 1.06 |
Variation coefficient | 3.81% | 4.87% | 9.31% | 8.34% | 5.06% | 5.55% | 5.71% | 6.21% |
Correlation coefficient | 0.942 | 0.944 | 0.959 | 0.951 | 0.893 | 0.933 | 0.954 | 0.933 |
RAC-N | 0A | 30A | 0B | 30B | 50C | 70C | 50D | 70D |
---|---|---|---|---|---|---|---|---|
Number | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Mean ratio | 1.04 | 1.02 | 0.96 | 0.98 | 0.96 | 1.03 | 0.97 | 1.02 |
Variation coefficient | 8.35% | 9.41% | 6.89% | 3.69% | 8.79% | 9.19% | 9.33% | 7.21% |
Correlation coefficient | 0.921 | 0.935 | 0.951 | 0.974 | 0.961 | 0.955 | 0.947 | 0.940 |
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Li, C.; Wang, F.; Deng, X.; Li, Y.; Zhao, S. Testing and Prediction of the Strength Development of Recycled-Aggregate Concrete with Large Particle Natural Aggregate. Materials 2019, 12, 1891. https://doi.org/10.3390/ma12121891
Li C, Wang F, Deng X, Li Y, Zhao S. Testing and Prediction of the Strength Development of Recycled-Aggregate Concrete with Large Particle Natural Aggregate. Materials. 2019; 12(12):1891. https://doi.org/10.3390/ma12121891
Chicago/Turabian StyleLi, Changyong, Fei Wang, Xiangsheng Deng, Yizhuo Li, and Shunbo Zhao. 2019. "Testing and Prediction of the Strength Development of Recycled-Aggregate Concrete with Large Particle Natural Aggregate" Materials 12, no. 12: 1891. https://doi.org/10.3390/ma12121891
APA StyleLi, C., Wang, F., Deng, X., Li, Y., & Zhao, S. (2019). Testing and Prediction of the Strength Development of Recycled-Aggregate Concrete with Large Particle Natural Aggregate. Materials, 12(12), 1891. https://doi.org/10.3390/ma12121891