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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

邮发代号 80-968

2019 Impact Factor: 1.68

Frontiers of Structural and Civil Engineering  2021, Vol. 15 Issue (6): 1400-1414   https://doi.org/10.1007/s11709-021-0779-8
  本期目录
Destructive and non-destructive evaluation of concrete for optimum sand to aggregate volume ratio
Tarek Uddin MOHAMMED1, Aziz Hasan MAHMOOD2(), Mohammad Zunaied-Bin-HARUN1, Jamil Ahmed JOY1, Md. Asif AHMED3
1. Department of Civil and Environmental Engineering, Islamic University of Technology (IUT), Organization of Islamic Cooperation (OIC), Board Bazar, Gazipur 1704, Bangladesh
2. Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
3. Department of Civil Engineering, European University of Bangladesh, Mirpur, Dhaka 1216, Bangladesh
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Abstract

Aggregates are the biggest contributor to concrete volume and are a crucial parameter in dictating its mechanical properties. As such, a detailed experimental investigation was carried out to evaluate the effect of sand-to-aggregate volume ratio (s/a) on the mechanical properties of concrete utilizing both destructive and non-destructive testing (employing UPV (ultrasonic pulse velocity) measurements). For investigation, standard cylindrical concrete samples were made with different s/a (0.36, 0.40, 0.44, 0.48, 0.52, and 0.56), cement content (340 and 450 kg/m3), water-to-cement ratio (0.45 and 0.50), and maximum aggregate size (12 and 19 mm). The effect of these design parameters on the 7, 14, and 28 d compressive strength, tensile strength, elastic modulus, and UPV of concrete were assessed. The careful analysis demonstrates that aggregate proportions and size need to be optimized for formulating mix designs; optimum ratios of s/a were found to be 0.40 and 0.44 for the maximum aggregate size of 12 and 19 mm, respectively, irrespective of the W/C (water-to-cement) and cement content.

Key wordsaggregates    non-destructive testing    sand-to-aggregate volume ratio (s/a)    maximum aggregate size (MAS)
收稿日期: 2021-03-08      出版日期: 2022-01-21
Corresponding Author(s): Aziz Hasan MAHMOOD   
 引用本文:   
. [J]. Frontiers of Structural and Civil Engineering, 2021, 15(6): 1400-1414.
Tarek Uddin MOHAMMED, Aziz Hasan MAHMOOD, Mohammad Zunaied-Bin-HARUN, Jamil Ahmed JOY, Md. Asif AHMED. Destructive and non-destructive evaluation of concrete for optimum sand to aggregate volume ratio. Front. Struct. Civ. Eng., 2021, 15(6): 1400-1414.
 链接本文:  
https://academic.hep.com.cn/fsce/CN/10.1007/s11709-021-0779-8
https://academic.hep.com.cn/fsce/CN/Y2021/V15/I6/1400
Fig.1  
Fig.2  
type of aggregate fine aggregate coarse aggregate test method
bulk SSD specific gravity 2.48 2.83 ASTM C127-15 [37] (CA)ASTM C128-15 [38] (FA)
absorption, % 3.18 1.49 ASTM C127-15 [37]
unit weight (oven dry), kg/m3 1527 1528 ASTM C29 [39]
unit weight (SSD), kg/m3 1576 1551 ASTM C29 [39]
abrasion, % 14 ASTM C131 [40]
FM 2.46 6.45 (MAS-12 mm)6.67 (MAS-19 mm) ASTM C136 [41]
Tab.1  
MAS (mm) W/C s/a unit contents (kg/m3)
cement water fine aggregate coarse aggregate
12, 19 0.45 0.36 340 153 640 1300
0.40 712 1219
0.44 783 1138
0.48 854 1056
0.52 925 975
0.56 996 894
0.50 0.36 340 170 625 1269
0.40 695 1190
0.44 764 1111
0.48 834 1031
0.52 903 952
0.56 973 873
0.45 0.36 450 202.5 565 1146
0.40 627 1075
0.44 690 1003
0.48 753 931
0.52 815 860
0.56 878 788
0.50 0.36 450 225 545 1105
0.40 605 1036
0.44 666 967
0.48 726 898
0.52 786 829
0.56 847 760
Tab.2  
Fig.3  
Fig.4  
Fig.5  
Fig.6  
Fig.7  
Fig.8  
Fig.9  
Fig.10  
Fig.11  
equation no. empirical equations reference s/a COV MAPE IAE
(5) fc=1.2277e0.00066(UPV) Mohammed and Rahman [34] 0.36 25.5% 25.2% 21.0%
(6) fc=1.2003e0.00068(UPV) 0.40 23.0% 19.1% 17.4%
(7) fc=1.1502e0.00070(UPV) 0.44 26.8% 26.4% 22.1%
Tab.3  
equation no. empirical equations reference s/a COV MAPE IAE
(8) fc=1.19e0.715(UPV) Nash’t et al. [50] 0.36 45.9% 48.4% 40.9%
0.40 34.6% 32.5% 28.8%
0.44 35.3% 36.7% 30.5%
0.48 40.1% 41.5% 35.6%
0.52 39.3% 40.5% 34.8%
0.56 44.7% 45.2% 39.8%
(9) fc=0.0854e1.2882(UPV) Trtnik et al. [26] 0.36 34.7% 32.5% 27.8%
0.40 32.3% 27.4% 24.3%
0.44 29.4% 25.8% 23.1%
0.48 27.0% 23.3% 21.4%
0.52 25.8% 22.4% 20.1%
0.56 33.7% 28.0% 26.4%
(10) fc=2.8e0.53(UPV) Jones [25] 0.36 51.5% 55.3% 46.8%
0.40 37.2% 36.7% 32.4%
0.44 39.9% 43.6% 35.6%
0.48 47.4% 50.8% 43.1%
0.52 47.1% 49.9% 42.8%
0.56 51.4% 54.0% 47.4%
(11) fc=2.016e0.61(UPV) Nash’t et al. [53] 0.36 54.6% 58.6% 50.1%
0.40 40.6% 40.1% 35.6%
0.44 42.4% 46.0% 38.1%
0.48 49.4% 52.7% 45.4%
0.52 48.8% 51.4% 44.4%
0.56 53.9% 56.2% 49.7%
(12) fc=0.316e1.03(UPV) Turgut [22] 0.36 54.6% 56.5% 49.6%
0.40 45.8% 42.5% 38.3%
0.44 44.1% 42.7% 37.6%
0.48 45.5% 44.6% 40.4%
0.52 42.8% 42.3% 37.3%
0.56 51.4% 49.5% 44.9%
(13) fc=0.0028e2.1(UPV) Popovics et al. [21] 0.36 62.6% 55.0% 51.6%
0.40 67.0% 58.2% 54.2%
0.44 65.4% 50.0% 50.2%
0.48 49.9% 38.3% 38.4%
0.52 39.1% 32.5% 30.6%
0.56 58.6% 42.2% 41.9%
(14) fc=1.146e0.77(UPV) Turgut [51] 0.36 76.0% 81.6% 72.5%
0.40 61.3% 61.6% 56.2%
0.44 61.6% 65.5% 57.1%
0.48 68.0% 71.7% 64.4%
0.52 66.0% 69.2% 61.6%
0.56 73.6% 76.1% 69.1%
Tab.4  
s/a proposed relationship between compressive strength and UPV level of agreement (R2) equation no.
0.36 fc=0.035e1.44(UPV) 0.61 (15)
0.40 fc=1.373e0.64(UPV) 0.60 (16)
0.44 fc=0.241e1.02(UPV) 0.67 (17)
0.48 fc=0.240e1.02(UPV) 0.70 (18)
0.52 fc=0.443e0.88(UPV) 0.61 (19)
0.56 fc=0.267e0.97(UPV) 0.62 (20)
Tab.5  
Fig.12  
Fig.13  
Fig.14  
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