Hydration and Durability of Concrete Containing Supplementary Cementitious Materials
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Seyoon Yoon, Inhwan Park, "Micropore Structures in CenosphereContaining Cementitious Materials Using MicroCT", Advances in Materials Science and Engineering, vol. 2017, Article ID 3892683, 10 pages, 2017. https://doi.org/10.1155/2017/3892683
Micropore Structures in CenosphereContaining Cementitious Materials Using MicroCT
Abstract
Cenospheres have been recently applied to increase the volume of uniform micropores in hardened cementitious materials. Therefore, application of microCT to cenospherecontaining binders will help better understand the micropores formed by cenospheres in the hardened materials. Accordingly, the present study prepared Portland cement paste, alkaliactivated fly ash/silica fume, and alkaliactivated fly ash with 60% weight replacement by cenospheres and reconstructed their micropore structures using microCT. From the pore structure, individual micropores were extracted and analyzed using the principal moment ratios ( and ). Based on the moment ratios, the representative pore shapes were determined in the different porevolume ranges. Fourfactor pore compliance contribution (4factor PCC) model was then applied to predict the influences of the micropores on the elastic moduli of the micropore/matrix composites.
1. Introduction
Fly ash, a waste material produced by coalfired power plants, has been applied to cement and concrete technologies to replace Portland cement [1–3]. Fly ash particles have three main morphologies: solid sphere, cenosphere, and plerosphere [4, 5]. Among these, cenospheres can be separated due to having the lowest specific gravity; because of the hollow structure, they are substantially less dense than solid spheres and plerospheres. Therefore, cenospheres have been applied to fabricating lightweight concrete [6–9]. Furthermore, the presence of cenospheres in concrete structures can produce more uniform micropores, allowing these structures to achieve greater energy efficiency with a minimum reduction in strength [9, 10]. This is because cenospheres increase the volume of uniform micropores in the hardened materials.
As cenosphere particles range in size from 10 to 400 μm [11], they contribute to the formation of micropores. However, because of cenospheres’ low reactivity, their micropore structures will differ depending on the cementitious material, such as geopolymers and Portland cement. Therefore, it is required to study more detailed pore shapes and the influences of micropores on the mechanical properties of cenospherecontaining cementitious pastes. Recent research on the application of microCT to cement and concrete has shed light on the detailed pore structures of cementitious materials [12–15]. In addition, an analysis method developed by Drach et al. [16], called the fourfactor pore compliance contribution (4factor PCC) model, allows us to predict the influence of individual pores on elastic moduli using the MoriTanaka method and statistical methods. Therefore, now is an ideal time to look at the detailed pore structures formed by cenospheres and their influence on elastic moduli, using microCT technology.
In the present study, we first constructed 3D micropore structures in cenospherecontaining cementitious matrixes using microCT. For this, three samples were prepared: alkaliactivated fly ashsilica fume, alkaliactivated fly ash, and Portland cement paste with cenospheres comprising 60% of binders by weight. We used a Ca(OH)_{2}Na_{2}CO_{3} activator because a recent study showed that this activator is less expensive and less dangerous than NaOH without compromising the compressive strength [17]. Furthermore, the sample with silica fume was included because McBride et al. reported that the addition of silica fume improves the compressive strength of cenospherecontaining concrete [7]. The 3D micropores obtained from microCT were grouped on the basis of individual pore volumes (<10^{−4 }mm^{3}, mm^{3}, mm^{3}, and ≥10^{−2} mm^{3}). Based on these groups, each micropore was individually extracted; then the principal moments of inertia (, , and ) were calculated to obtain the contour maps of and ratios. These ratios also provided numeric values to identify which representative pore shapes were most frequently observed. Lastly, we applied the 4factor PCC model to predict the influence of the micropores on the elastic moduli of the cementitious composites.
2. Experimental Details
The present study used ASTM Type I Portland cement known as ordinary Portland cement (OPC) and silica fume marketed by Elkem AS under the product name ElkemMicrosilica® 940U. The cenospheres (product name QK150) and the fly ash, which is the original fly ash of cenospheres, were obtained from Spheretek Ltd. (Hong Kong). Wang et al. reported that cenospheres have substantial amount of amorphous phase and crystalline phases, such as mullite and quartz [8]. The particle size distribution of the cenospheres is presented in Figure 1, showing a range of 10^{−10} to 10^{−1 }mm^{3}.
We prepared three samples: alkaliactivated fly ashsilica fume, alkaliactivated fly ash, and Portland cement paste. All three samples contained cenospheres at 60% binders by weight. Cenospheres are considered as a binder component, because they contribute to longterm strength. The fly ashsilica fume and fly ash samples were activated using Ca(OH)_{2} (Junse Chemical, Japan) and Na_{2}CO_{3} (Sigma Aldrich, USA). The watertosolid ratio was maintained at 0.35 for all samples because it was the lowest mixable ratio. The detailed mixture proportion and sample labels are provided in Table 1. The samples were prepared with cylinder molds of 100 mm in diameter and then cured at room temperature (20~22°C) in 99% relative humidity for 28 days. MicroCT scans were performed with a SkyScan 1173 CT scanner at 130 kV and 60 μA. The 2D image data had an image resolution of 18.11 μm/pixel. Exposure time per projection was 500 ms with a 0.2° step angle.

3. 4Factor PCC Model
Drach et al. developed the 4factor PCC model to evaluate the influence of micropores on elastic moduli including Young’s modulus (), bulk modulus (), and shear modulus () [16, 18]. 4factor PCC is a statistical model to give a prediction from input variables obtained from variation in irregular pore geometries. Finiteelement analysis was performed on the basis of a large set of irregular pores. This process constructs a statistical formula to relate pore geometry parameters and their contribution to effective elastic properties. The 4factor PCC model is the statistical formula as follows:where and s are model coefficients, and the other values represent the following terms:where MID is a midrange value, is surface areatovolume ratio, and is Poisson’s ratio. The dimensionless parameters () of the 4factor PCC model are the influential degree of micropores as follows:where is a volume fraction of pores and , , and are the elastic moduli of the matrix. For a detailed discussion of the 4factor PCC model, see [16].
4. Results and Discussion
4.1. Micropore Distribution
Figure 2 shows the cumulative proportion of the micropore volumes in the range of 10^{−5} to 10^{−1 }mm^{3}. The FASF, FA, and PC samples have different micropore distributions; the PC sample had an 80% volume proportion of micropores measuring <10^{−4 }mm^{3}, whereas the FASF sample had a broader micropore distribution than the other two samples. Accordingly, the micropores by cenospheres could vary, depending on different cementitious materials. This is because each binder has a different condition, which can lead to different micropore structure with cenospheres. We divided the porevolume ranges into four groups (<10^{−4 }mm^{3}, mm^{3}, mm^{3}, and ≥10^{−2 }mm^{3} of individual pore volumes) and analyzed them separately.
4.2. Micropores in FASF Sample
Figure 3 shows the 3D reconstruction of the micropore structures obtained from microCT data. In Figure 3, the image on the far left shows the entire structure of the micropores, while the four images to the right show the separated micropores based on the porevolume ranges. One interesting observation is that there were no <10^{−2 }mm^{3} micropores near other pores that were larger than 10^{−2 }mm^{3} (circled area in Figure 3). This might be because the large pores merged with smaller pores. Despite the visual investigation, the large number of variations in pore shapes made it difficult to define the characteristics of the shapes. Therefore, we calculated the moments of inertia of individual pores and then the eigenvalues of the moments. These eigenvalues were the principle moments (), and we obtained the contour maps on the left side of Figure 4 using the ratios of and (moment ratios). The 3D features on the right side of Figure 4 also shows the representative shape of the micropores appearing at a high frequency in the moment ratios. The representative shape of the micropores with volume ranges of <10^{−4 }mm^{3}, mm^{3}, and ≥10^{−2 }mm^{3} was an elliptical sphere rather than a round sphere, as seen in Figures 4(a), 4(c), and 4(d). The micropores of the mm^{3} range in Figure 4(b) had more irregular shapes than those of the other ranges, shown in Figures 4(a), 4(c), and 4(d).
(a)
(b)
(c)
(d)
4.3. Micropores in FA Sample
Figure 5 shows the 3Dreconstructed micropore structure of the FA sample and four groups of porevolume ranges. In contrast to the FASF sample, the FA sample had many pores measuring <10^{−3 }mm^{3} near large pores. Figure 6 shows the contour maps of the moment ratios and the representative pore shapes on the marked areas. In Figure 6(a), the micropores with volumes measuring ≥10^{−2 }mm^{3} have two areas of moment ratios. The and ratios of area 1 marked in Figure 6(a) are close to 1.00, meaning that the representative shape of the micropores in that area is a round sphere. However, the ratios of area 2 marked in Figure 6(a) range between 0.16 and 0.32, and is close to 1.00. With these moment ratios, the representative shape of the micropores is two connected spheres. The micropores in the volume range of mm^{3} have three main areas in the contour map of Figure 6(b). Areas 1 and 2 have similar ratios and pore shapes. However, the pore shape in area 3 is more irregular than those in areas 1 and 2. Figures 6(c) and 6(d) show the moment ratios of the micropores with volume ranges of mm^{3} and <10^{−4 }mm^{3}. The pore shapes in these ranges are elliptical spheres, which are close to the shapes in the FASF sample in identical porevolume ranges.
(a)
(b)
(c)
(d)
4.4. Micropores in PC Sample
Figure 7 shows the micropores in the PC sample. Large pores with volumes measuring ≥10^{−3 }mm^{3} were not frequently observed in the PC sample. Furthermore, the pore size distribution of the PC sample was more uniform than that of the FASF and FA samples. The large pores (≥10^{−3 }mm^{3}) in area 1 of Figure 8(a) have irregular shapes, and the ratios mostly range from 0.14 to 0.42. These low ratios originate from the elongated pore shapes in the PC sample. It is noteworthy that these low ratios were also observed for two connected spheres in the FA sample. Furthermore, in Figure 8(b), the representative pore shape in area 2 is more irregular than in area 1, with a lower ratio in area 2.
(a)
(b)
(c)
4.5. Predicted Influences of Micropores on Elastic Moduli
The material properties influenced by pore structures are elastic moduli of hardened materials, such as Young’s modulus, bulk modulus, and shear modulus. The application of the 4factor PCC model to micropores formed by cenosphere can show the relation between their and ratios and elastic moduli. Figure 9 shows the dimensionless parameters () of the predicted elastic moduli, which represent changes in elastic moduli induced by pore shape. In the FASF and PC samples, all five dimensionless parameters had similar values regardless of the porevolume ranges, as the mean values and the gaps between the first and third quantiles were similar. This is because the mean values of the and ratios obtained from the micropores in the FASF and PC samples were similar. In the FA sample, the mean values of the dimensionless parameters were close together regardless of the porevolume ranges, but the variations in the five parameters of the micropores measuring ≥10^{−2 }mm^{3} were higher than those of the other volume ranges. This indicates that the connection of two pores can introduce a high variation in elastic moduli. A comparison between the FASF and FA samples showed similar influences of micropores on the elastic moduli. Furthermore, the micropores measuring ≥10^{−3 }mm^{3} in the PC sample could introduce a greater variation in than the FASF and FA samples due to the elongated pore shapes having low ratios.
(a)
(b)
(c)
5. Conclusions
The main purpose of the present study was to understand the structure of micropores in different cementitious pastes and their influence on the elastic moduli. We obtained the 3D morphologies of micropores from Portland cement paste, Ca(OH)_{2}Na_{2}CO_{3}activated fly ashsilica fume, and Ca(OH)_{2}Na_{2}CO_{3}activated fly ash with cenospheres of all samples at 60% of binders by weight. The following results were observed:(i)The PC sample (cenospherecontaining Portland cement paste) had a lessbroad size distribution of micropores compared to the FASF and FA samples (Ca(OH)_{2}Na_{2}CO_{3}activated fly ashsilica fume and Ca(OH)_{2}Na_{2}CO_{3}activated fly ash with cenospheres).(ii)The FASF sample (Ca(OH)_{2}Na_{2}CO_{3}activated, cenospherecontaining fly ashsilica fume) had more irregular micropore shapes in the mm^{3} porevolume range compared to the other ranges (<10^{−4 }mm^{3}, mm^{3}, and ≥10^{−2 }mm^{3}).(iii)Two connected spherical micropores were frequently observed in the ≥10^{−2 }mm^{3} range of the FA sample (Ca(OH)_{2}Na_{2}CO_{3}activated, cenospherecontaining fly ash), and the 4factor PCC model predicted that the connected micropores would increase the variations in elastic moduli. However, the averaged values of effective elastic moduli are similar.(iv)The PC sample had more elongated micropores than the FA and FASF samples. Furthermore, the 4factor PCC model predicted a greater variation in Young’s modulus of the PC sample compared to that of the FA and FASF samples.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
Acknowledgments
This work was supported by Kyonggi University Research Grant 2016 (2016001).
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Copyright
Copyright © 2017 Seyoon Yoon and Inhwan Park. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.