# Micropore Structures in Cenosphere-Containing Cementitious Materials Using Micro-CT

Authors: Seyoon Yoon; Inhwan Park
Journal: Advances in Materials Science and Engineering
 (2017)

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## Abstract

Cenospheres have been recently applied to increase the volume of uniform micropores in hardened cementitious materials. Therefore, application of micro-CT to cenosphere-containing binders will help better understand the micropores formed by cenospheres in the hardened materials. Accordingly, the present study prepared Portland cement paste, alkali-activated fly ash/silica fume, and alkali-activated fly ash with 60% weight replacement by cenospheres and reconstructed their micropore structures using micro-CT. From the pore structure, individual micropores were extracted and analyzed using the principal moment ratios (I11/I33 and I22/I33). Based on the moment ratios, the representative pore shapes were determined in the different pore-volume ranges. Four-factor pore compliance contribution (4-factor PCC) model was then applied to predict the influences of the micropores on the elastic moduli of the micropore/matrix composites.


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## Body

## 1. Introduction

Fly ash, a waste material produced by coal-fired 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 400μm [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 cenosphere-containing cementitious pastes. Recent research on the application of micro-CT 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 four-factor pore compliance contribution (4-factor PCC) model, allows us to predict the influence of individual pores on elastic moduli using the Mori-Tanaka 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 micro-CT technology.In the present study, we first constructed 3D micropore structures in cenosphere-containing cementitious matrixes using micro-CT. For this, three samples were prepared: alkali-activated fly ash-silica fume, alkali-activated fly ash, and Portland cement paste with cenospheres comprising 60% of binders by weight. We used a Ca(OH)2-Na2CO3 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 cenosphere-containing concrete [7]. The 3D micropores obtained from micro-CT were grouped on the basis of individual pore volumes (<10−4mm3, 10-4~10-3 mm3, 10-3~10-2 mm3, and ≥10−2 mm3). Based on these groups, each micropore was individually extracted; then the principal moments of inertia (I11, I22, and I33) were calculated to obtain the contour maps of I11/I33 and I22/I33 ratios. These ratios also provided numeric values to identify which representative pore shapes were most frequently observed. Lastly, we applied the 4-factor 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 Elkem-Microsilica® 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 10−1mm3.Figure 1
Particle size distribution of cenospheres (QK150).We prepared three samples: alkali-activated fly ash-silica fume, alkali-activated 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 long-term strength. The fly ash-silica fume and fly ash samples were activated using Ca(OH)2 (Junse Chemical, Japan) and Na2CO3 (Sigma Aldrich, USA). The water-to-solid 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. Micro-CT 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.Table 1
Mixture proportions of the samples: w/s denotes water-to-solid ratio (in grams).
Sample label
Portland cement
Fly ash
Silica fume
Cenosphere
Ca(OH)2
Na2CO3
Sucrose
Water
FASF
—
20
20
60
30
8
0.69
48.3(w/s = 0.35)
FA
—
40
—
60
30
8
0.69
48.3(w/s = 0.35)
PC
40
—
—
60
—
—
—
35


## 3. 4-Factor PCC Model

Drach et al. developed the 4-factor PCC model to evaluate the influence of micropores on elastic moduli including Young’s modulus (E), bulk modulus (K), and shear modulus (G) [16, 18]. 4-factor PCC is a statistical model to give a prediction from input variables obtained from variation in irregular pore geometries. Finite-element 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 4-factor PCC model is the statistical formula as follows:(1)E~i,K~orG~=α0+α1I~11+α2I~22+α3S~V+α4v~+α5I~112+α6I~11I~22+α7I~222+α8I~11S~V+α9I~22S~V+α10S~V2+α11I~11v~+α12I~22v~+α13S~Vv~+α14v~2,where αi and αijs are model coefficients, and the other values represent the following terms:(2)I~11=I11/I33-AVGI11/I33MIDI11/I33,I~22=I22/I33-AVGI22/I33MIDI22/I33,S~V=SV-AVGSVMIDSV,v~=v-AVGvMIDv,where MID is a midrange value, SV is surface area-to-volume ratio, and v is Poisson’s ratio. The dimensionless parameters (E~i,K~,G~) of the 4-factor PCC model are the influential degree of micropores as follows:(3)EiE0=11+pE~i,KK0=11+pK~,GG0=11+pG~,where p is a volume fraction of pores and E0, K0, and G0 are the elastic moduli of the matrix. For a detailed discussion of the 4-factor PCC model, see [16].


## 4. Results and Discussion

### 4.1. Micropore Distribution

Figure2 shows the cumulative proportion of the micropore volumes in the range of 10−5 to 10−1mm3. The FASF, FA, and PC samples have different micropore distributions; the PC sample had an 80% volume proportion of micropores measuring <10−4mm3, 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 pore-volume ranges into four groups (<10−4mm3, 10-4~10-3 mm3, 10-3~10-2 mm3, and ≥10−2mm3 of individual pore volumes) and analyzed them separately.Figure 2
Pore-volume distributions of FASF, FA, and PC samples obtained from micro-CT data.


### 4.2. Micropores in FASF Sample

Figure3 shows the 3D reconstruction of the micropore structures obtained from micro-CT 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 pore-volume ranges. One interesting observation is that there were no <10−2mm3 micropores near other pores that were larger than 10−2mm3 (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 (I11<I22<I33), and we obtained the contour maps on the left side of Figure 4 using the ratios of I11/I33 and I22/I33 (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 <10−4mm3, 10-4~10-3 mm3, and ≥10−2mm3 was an elliptical sphere rather than a round sphere, as seen in Figures 4(a), 4(c), and 4(d). The micropores of the 10-3~10-2 mm3 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).Figure 3
Reconstructed 3D micropore structures of the FASF sample (separated micropores based on pore-volume ranges).Figure 4
Contour maps ofI11/I33 and I22/I33 ratios of the FASF sample and representative pore shapes in areas 1~3: (a) micropore volume ≥ 10−2mm3, (b) micropore volume 10-3~10-2 mm3, (c) micropore volume 10-4~10-3 mm3, and (d) micropore volume < 10−4mm3.
(a)
(b)
(c)
(d)


### 4.3. Micropores in FA Sample

Figure5 shows the 3D-reconstructed micropore structure of the FA sample and four groups of pore-volume ranges. In contrast to the FASF sample, the FA sample had many pores measuring <10−3mm3 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 ≥10−2mm3 have two areas of moment ratios. The I11/I33 and I22/I33 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 I11/I33 ratios of area 2 marked in Figure 6(a) range between 0.16 and 0.32, and I22/I33 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 10-3~10-2 mm3 have three main areas in the contour map of Figure 6(b). Areas 1 and 2 have similar I11/I33 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 10-4~10-3 mm3 and <10−4mm3. The pore shapes in these ranges are elliptical spheres, which are close to the shapes in the FASF sample in identical pore-volume ranges.Figure 5
Reconstructed 3D micropore structure of the FA sample (separated micropores based on pore-volume ranges).Figure 6
Contour maps ofI11/I33 and I22/I33 ratios of the FA sample and representative pore shapes in areas 1~3: (a) micropore volume ≥ 10−2mm3, (b) micropore volume 10-3~10-2 mm3, (c) micropore volume 10-4~10-3 mm3, and (d) micropore volume < 10−4mm3.
(a)
(b)
(c)
(d)


### 4.4. Micropores in PC Sample

Figure7 shows the micropores in the PC sample. Large pores with volumes measuring ≥10−3mm3 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 (≥10−3mm3) in area 1 of Figure 8(a) have irregular shapes, and the I11/I33 ratios mostly range from 0.14 to 0.42. These low I11/I33 ratios originate from the elongated pore shapes in the PC sample. It is noteworthy that these low I11/I33 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 I11/I33 ratio in area 2.Figure 7
Reconstructed 3D micropore structure of the PC sample (separated micropores based on pore-volume range).Figure 8
Contour maps ofI11/I33 and I22/I33 ratios of the PC sample and representative pore shapes in areas 1~3: (a) micropore volume ≥ 10−3mm3, (b) micropore volume 10-3~10-4 mm3, and (c) micropore volume < 10−4mm3.
(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 4-factor PCC model to micropores formed by cenosphere can show the relation between theirI11/I33 and I22/I33 ratios and elastic moduli. Figure 9 shows the dimensionless parameters (E~1,E~2,E~3,K~,G~) 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 pore-volume ranges, as the mean values and the gaps between the first and third quantiles were similar. This is because the mean values of the I11/I33 and I22/I33 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 pore-volume ranges, but the variations in the five parameters of the micropores measuring ≥10−2mm3 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 ≥10−3mm3 in the PC sample could introduce a greater variation in E~1 than the FASF and FA samples due to the elongated pore shapes having low I11/I33 ratios.Figure 9
Dimensionless parameters (E~1,E~2,E~3,K~,G~) of the elastic moduli predicted by the 4-factor PCC model: (a) four pore-volume ranges in the FASF sample, (b) four pore-volume ranges in the FA sample, and (c) three pore-volume ranges in the PC sample.
(a)
(b)
(c)


## 4.1. Micropore Distribution

Figure2 shows the cumulative proportion of the micropore volumes in the range of 10−5 to 10−1mm3. The FASF, FA, and PC samples have different micropore distributions; the PC sample had an 80% volume proportion of micropores measuring <10−4mm3, 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 pore-volume ranges into four groups (<10−4mm3, 10-4~10-3 mm3, 10-3~10-2 mm3, and ≥10−2mm3 of individual pore volumes) and analyzed them separately.Figure 2
Pore-volume distributions of FASF, FA, and PC samples obtained from micro-CT data.


## 4.2. Micropores in FASF Sample

Figure3 shows the 3D reconstruction of the micropore structures obtained from micro-CT 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 pore-volume ranges. One interesting observation is that there were no <10−2mm3 micropores near other pores that were larger than 10−2mm3 (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 (I11<I22<I33), and we obtained the contour maps on the left side of Figure 4 using the ratios of I11/I33 and I22/I33 (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 <10−4mm3, 10-4~10-3 mm3, and ≥10−2mm3 was an elliptical sphere rather than a round sphere, as seen in Figures 4(a), 4(c), and 4(d). The micropores of the 10-3~10-2 mm3 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).Figure 3
Reconstructed 3D micropore structures of the FASF sample (separated micropores based on pore-volume ranges).Figure 4
Contour maps ofI11/I33 and I22/I33 ratios of the FASF sample and representative pore shapes in areas 1~3: (a) micropore volume ≥ 10−2mm3, (b) micropore volume 10-3~10-2 mm3, (c) micropore volume 10-4~10-3 mm3, and (d) micropore volume < 10−4mm3.
(a)
(b)
(c)
(d)


## 4.3. Micropores in FA Sample

Figure5 shows the 3D-reconstructed micropore structure of the FA sample and four groups of pore-volume ranges. In contrast to the FASF sample, the FA sample had many pores measuring <10−3mm3 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 ≥10−2mm3 have two areas of moment ratios. The I11/I33 and I22/I33 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 I11/I33 ratios of area 2 marked in Figure 6(a) range between 0.16 and 0.32, and I22/I33 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 10-3~10-2 mm3 have three main areas in the contour map of Figure 6(b). Areas 1 and 2 have similar I11/I33 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 10-4~10-3 mm3 and <10−4mm3. The pore shapes in these ranges are elliptical spheres, which are close to the shapes in the FASF sample in identical pore-volume ranges.Figure 5
Reconstructed 3D micropore structure of the FA sample (separated micropores based on pore-volume ranges).Figure 6
Contour maps ofI11/I33 and I22/I33 ratios of the FA sample and representative pore shapes in areas 1~3: (a) micropore volume ≥ 10−2mm3, (b) micropore volume 10-3~10-2 mm3, (c) micropore volume 10-4~10-3 mm3, and (d) micropore volume < 10−4mm3.
(a)
(b)
(c)
(d)


## 4.4. Micropores in PC Sample

Figure7 shows the micropores in the PC sample. Large pores with volumes measuring ≥10−3mm3 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 (≥10−3mm3) in area 1 of Figure 8(a) have irregular shapes, and the I11/I33 ratios mostly range from 0.14 to 0.42. These low I11/I33 ratios originate from the elongated pore shapes in the PC sample. It is noteworthy that these low I11/I33 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 I11/I33 ratio in area 2.Figure 7
Reconstructed 3D micropore structure of the PC sample (separated micropores based on pore-volume range).Figure 8
Contour maps ofI11/I33 and I22/I33 ratios of the PC sample and representative pore shapes in areas 1~3: (a) micropore volume ≥ 10−3mm3, (b) micropore volume 10-3~10-4 mm3, and (c) micropore volume < 10−4mm3.
(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 4-factor PCC model to micropores formed by cenosphere can show the relation between theirI11/I33 and I22/I33 ratios and elastic moduli. Figure 9 shows the dimensionless parameters (E~1,E~2,E~3,K~,G~) 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 pore-volume ranges, as the mean values and the gaps between the first and third quantiles were similar. This is because the mean values of the I11/I33 and I22/I33 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 pore-volume ranges, but the variations in the five parameters of the micropores measuring ≥10−2mm3 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 ≥10−3mm3 in the PC sample could introduce a greater variation in E~1 than the FASF and FA samples due to the elongated pore shapes having low I11/I33 ratios.Figure 9
Dimensionless parameters (E~1,E~2,E~3,K~,G~) of the elastic moduli predicted by the 4-factor PCC model: (a) four pore-volume ranges in the FASF sample, (b) four pore-volume ranges in the FA sample, and (c) three pore-volume ranges in the PC sample.
(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-Na2CO3-activated fly ash-silica fume, and Ca(OH)2-Na2CO3-activated fly ash with cenospheres of all samples at 60% of binders by weight. The following results were observed:(i)
The PC sample (cenosphere-containing Portland cement paste) had a less-broad size distribution of micropores compared to the FASF and FA samples (Ca(OH)2-Na2CO3-activated fly ash-silica fume and Ca(OH)2-Na2CO3-activated fly ash with cenospheres).(ii)
The FASF sample (Ca(OH)2-Na2CO3-activated, cenosphere-containing fly ash-silica fume) had more irregular micropore shapes in the 10-3~10-2 mm3 pore-volume range compared to the other ranges (<10−4mm3, 10-4~10-3 mm3, and ≥10−2mm3).(iii)
Two connected spherical micropores were frequently observed in the ≥10−2mm3 range of the FA sample (Ca(OH)2-Na2CO3-activated, cenosphere-containing fly ash), and the 4-factor 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 4-factor PCC model predicted a greater variation in Young’s modulus of the PC sample compared to that of the FA and FASF samples.



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*Source: 3892683-2017-06-11.xml*