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Evaluating the creep behaviour of plastic-processed aggregate-based concrete Cover

Evaluating the creep behaviour of plastic-processed aggregate-based concrete

Open Access
|Mar 2025

Figures & Tables

Figure 1

PPAs used in this study: (a) texture and physical appearance, (b) optical microscopic image, and (c) grading curve in comparison with the ASTM maximum and minimum limits of LWA [26].

Figure 2

Grading curve of the (a) natural coarse and (b) fine aggregates in comparison with the ASTM limits [26].

Figure 3

Creep test setup.

Figure 4

Creep setup with (a) loaded sample and (b) unloaded samples.

Figure 5

Results of time-dependent strain for loaded specimens of PPACs and CN.

Figure 6

Results of shrinkage strain for unloaded specimens of PPACs and CN.

Figure 7

Results of creep strain of PPACs and CN.

Figure 8

Comparison between the experimental results and the predictions of the analytical models related to the creep coefficient of PPAC mixes.

Figure 9

Regression and experimental curves for creep coefficients of PPAC mixes.

Figure 10

Comparison between the proposed model and the experimental results for the creep coefficient of PPAC mixes.

Figure 11

Relationship between the dry density and creep coefficient for all the concrete series.

Figure 12

Relationship between the compressive strength (28 days) and creep coefficient for all the concrete series.

Figure 13

Relationship among the compressive strength, splitting tensile strength, and creep coefficient for all the concrete series.

Figure 14

Relationship among the Poisson ratio, compressive strength, and creep coefficient for all the concrete series.

Parameters of the creep coefficient in different models_

Type of model
AASHTO LRFD (2007) [39]ACI 209.2R-08 [40]
B = ( 61 0.58 f c ) B=(61-0.58\hspace{.25em}fc^{\prime} ) B = 10 B=10
d = 1 d=1 d = 0.6 d=0.6
λ = 1.9 \lambda =1.9 λ = 2.35 \lambda =2.35
γ c = k v s k h k f t o 0.118 {\gamma }_{c}={k}_{vs}{k}_{h}{k}_{f}{t}_{\text{o}}^{-0.118} γ c = γ l a γ H γ v s γ s γ ρ γ α {\gamma }_{c}={\gamma }_{la}{\gamma }_{H}{\gamma }_{vs}{\gamma }_{s}{\gamma }_{\rho }{\gamma }_{\alpha }
K v s = 1.45 0.0051 ( v / s ) {K}_{vs}\hspace{.25em}=\hspace{.25em}1.45\hspace{.25em}-\hspace{.25em}0.0051(v/s) ≥ 1.0 γ l a = 1.25 ( t o ) 0.118 {\gamma }_{la}=1.25{({t}_{o})}^{-0.118}
K h = 1.56 0.008 RH {K}_{h}\hspace{.25em}=\hspace{.25em}1.56\hspace{.25em}-\hspace{.25em}0.008\text{RH} γ H = 1.27 0.0067 RH {\gamma }_{H}=1.27-0.0067\text{RH}
k f = 35 7 + f c {k}_{f}=\frac{35}{7+fc^{\prime} } γ v s = 2 / 3 1 + 1.13 · e .0213 v s {\gamma }_{vs}=2/3\left[1+1.13\cdot {\text{e}}^{-.0213\left(\frac{v}{s}\right)}\right]
γ s = 0.82 + 0.00264 ( S l ) {\gamma }_{s}=0.82+0.00264({S}_{l})
γ ρ = 0.88 + 0.0024 ( ρ a ) {\gamma }_{\rho }=0.88+0.0024({\rho }_{a})
γ α = 0.46 + 0.09 α {\gamma }_{\alpha }=0.46+0.09\alpha

Coefficient of correlation of the proposed model for the creep coefficient of PPAC mixes_

Concrete typeCoefficient of correlation (equation (2))
PPAC250.98
PPAC500.96
PPAC750.97
PPAC1000.97

Calculations for calibrating the ACI models for PPAC mixes_

Model typeParameterConcrete type
PPAC25PPAC50PPAC75PPAC100
ACI 209.2R-08 γ l a {\gamma }_{la} 0.8440.8440.8440.844
γ H {\gamma }_{H} 1.0151.0151.0151.015
γ v s {\gamma }_{vs} 1.1581.1581.1581.158
γ s {\gamma }_{s} 1.1891.2681.2821.321
γ ρ {\gamma }_{\rho } 0.880.880.880.88
γ α {\gamma }_{\alpha } 0.730.730.730.73
γ c {\gamma }_{c} 0.7590.8100.8190.844
C u {C}_{u} 3.302.833.502.40
λ PA = C u / γ c {\lambda }_{\text{PA}}={C}_{u}/{\gamma }_{c} 4.353.494.272.84

Mix proportions for concrete mixes used in the current study_

Concrete seriesW/CTotal waterFree waterCementFine aggregateCoarse aggregate
PPACNA
kg/m3
CN0.50240.3225450880688
PPAC25239847141516
PPAC50237.6815282344
PPAC75236.2782423172
PPAC100234.8750565

Major mechanical properties for all the concrete series

SampleDry density (kg/m3)Compressive strength (MPa)Tensile strength (MPa)Flexural strength (MPa)Modulus of elasticity (GPa)Poisson ratioAbrasion-weight loss (g)
CN2,18341.83.585.4227.820.250.40
PPAC252,08635.33.325.2420.580.280.60
PPAC501,99531.72.425.0415.060.380.61
PPAC751,89630.42.364.4710.660.390.63
PPAC1001,77730.22.253.9910.140.390.66

Regression analysis results of the PPAC mixes_

Model typeParameterConcrete type
PPAC25PPAC50PPAC75PPAC100
Best fit B 17.7226.4512.7112.46
D 0.770.920.760.77
C u 3.042.423.032.05
R 2 0.980.960.980.98
AASHTO (2007) B 40.5242.6043.3643.47
D 1
C u 2.842.473.062.09
R 2 0.970.960.930.92
ACI 209.2R-08 B 10
D 0.6
C u 3.302.833.502.40
R 2 0.970.940.960.96

Aggregate properties used in the current study_

TestExperimental valuesStandard used
CNAPPA
Fineness modulus5.835.67ASTM C136/C136M-14 [26]
Unit weight (kg/m3)1,5541,132ASTM C29/C29M-16 [27]
Voids (%)37.7937.44ASTM C29/C29M-16 [27]
Specific gravity2.591.81ASTM C127-15 [28]
Water absorption (%)1.480.95ASTM C127-15 [28]
DOI: https://doi.org/10.2478/msp-2024-0052 | Journal eISSN: 2083-134X | Journal ISSN: 2083-1331
Language: English
Page range: 51 - 66
Submitted on: Nov 6, 2024
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Accepted on: Jan 24, 2025
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Published on: Mar 15, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Fahad K. Alqahtani, Idrees Zafar, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.