Next Article in Journal
Insights into the Influence of Different Pre-Treatments on Physicochemical Properties of Nafion XL Membrane and Fuel Cell Performance
Next Article in Special Issue
Synthesis Metakaolin-Based Geopolymer Incorporated with SiC Sludge Using Design of Experiment Method
Previous Article in Journal
Vacuum Low-Temperature Microwave-Assisted Pyrolysis of Technical Lignins
Previous Article in Special Issue
Minimizing the Global Warming Potential with Geopolymer-Based Insulation Material with Miscanthus Fiber
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Length Change Ratio of Ground Granulated Blast Furnace Slag-Based Geopolymer Blended with Magnesium Oxide Cured in Various Environments

1
Institute of Mineral Resources Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-Hsiao E. Rd., Taipei 10608, Taiwan
2
Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
*
Authors to whom correspondence should be addressed.
Polymers 2022, 14(16), 3386; https://doi.org/10.3390/polym14163386
Submission received: 21 July 2022 / Revised: 9 August 2022 / Accepted: 16 August 2022 / Published: 18 August 2022
(This article belongs to the Special Issue Development in Geopolymers)

Abstract

:
Geopolymer (GP) has been considered a potential material to replace ordinary Portland cement (OPC) because of its excellent mechanical properties and environmentally friendly process. However, the promotion of GP is limited due to the large shrinkage and the different operating procedures compared to cement. This study aims to reduce the shrinkage of ground granulated blast furnace slag (GGBFS) based GP by the hydration expansion properties of activated magnesium oxide (MgO). The slurry of GP was blended from GGBFS, MgO, and activator; and the compositions of the activator are sodium hydroxide (NaOH), sodium silicate (Na2SiO3), and alumina silicate(NaAlO2). Herein, the GGFBS and MgO were a binder and a shrinkage compensation agent of GP, respectively. After unmolding, the GP specimens were cured under four types of environments and the lengths of the specimens were measured at different time intervals to understand the length change ratio of GP. In this study, two groups of GP specimens were made by fixing the activator to binder (A/B) ratio and the fluidity. The test results show that adding MgO will reduce the shrinkage of GP as A/B ratio was fixed. However, fixing the fluidity exhibited the opposite results. The X-ray diffraction (XRD) was used to check the Mg(OH)2 that occurred due to the MgO hydration under four curing conditions. Three statistical and machine learning methods were used to analyze the length change of GP based on the test data. The testing and analysis results show that the influence of curing environments is more significant for improving the shrinkage of GP than additive MgO.

Graphical Abstract

1. Introduction

Reinforced concrete has been widely used in construction due to its low cost and easy to apply. The carbon dioxide (CO2) emission from the production of ordinary Portland cement (OPC) is 700~1000 kg/ton, with the total accounting for approximately 5% of global CO2 emissions [1,2,3,4]. The manufacturing process of OPC also releases pollutants, such as sulfur dioxide, nitrogen oxides, and carbon monoxide [5]. To slow down global warming, the cement industry has focused on reducing the carbon footprint of cement, mainly through alternative energy sources, alternative materials, and recycled cement [6,7,8,9].
Geopolymer (GP) is an alkali-activated material (AAM), the structure of which is an amorphous or semi-crystalline material similar to zeolite [10,11,12,13,14,15]. GP has been considered sustainable material due to the lower CO2 emission than OPC, however, the actual reduction in CO2 emissions remains to be confirmed due to the factors of carbon footprint such as raw materials and transportation [9,16,17,18]. Compared with OPC, GP also has better mechanical properties, and resistance to fire, sulfate, and chloride-induced corrosion. Therefore, there are many studies and applications focused on GP issue in recent years, for example, recycled waste can produce bricks, fire-proof materials, and other productions [19,20,21,22,23,24,25,26,27,28,29,30,31,32].
However, GP also has limitations of application; the process of geopolymerization will dehydrate and cause excessive shrinkage and cracks [33,34]. The drying shrinkage of GP has been considered to be caused by the higher porosity and smaller diameter pore size distribution (less than 25 nm) [35,36]. The shrinkage of GGBS-based GP mortar has been tested and it is up to six times the shrinkage of OPC. Using sodium carbonate as an alkaline activator can reduce its shrinkage, but can also reduce its compressive strength [37].
The studies indicate that the GP is sensitive to the curing environment. The greater shrinkage and lower strength occur when GP is cured at a lower relative humidity environment, while it can be improved as curing in water [35,38]. The drying shrinkage of the GGBFS-based GP has strongly dependent on the relative humidity and the cations. The cations may change the structure of C-A-S-H and make it easier to shrink in a dry environment [39]. In the drying shrinkage process of metakaolin (MK)-based GP, it is considered that the slurry loses free water from macro-pores first without capillary pressure. Then, the constitution water starts to lose and cause shrinkage [40].
Adding filler and fiber are the most popular methods to improve the shrinkage of GP, such as sand, wollastonite, and glass fibers. The GGBFS-based and MK-based GP with fillers can reduce the shrinkage by 27% to 77%. Fillers can reduce the endogenous shrinkage because the granular particle and fiber skeleton change the pore size distribution so it might reduce the tensile forces [41]. It has also been found that increasing the sodium hydroxide (NaOH) concentration of the activator and adding NaAlO2 can reduce shrinkage [41,42].
The additive expansion materials, such as MgO, FGD-gypsum, dolomite, etc., and shrinkage-reducing admixture (SRA) have also been studied to reduce the shrinkage of GP. The shrinkage is decreased due to the volume expansion caused by the hydration of MgO to Mg(OH)2 [43]. When FGD-gypsum and dolomite are activated with NaOH solution to form CaCO3 and Na2CO3 to compensate for shrinkage. Nevertheless, when the addition of the expansion materials was used, the greater the water content, the larger the drying shrinkage [44]. The mechanism of SRA is declining the surface tension of the pore and capillary stress because SRA can modify the pore structure and increase the pore size [45].
Due to the complicated mechanisms of OPC and GP, the artificial neural network (ANN), machine learning (ML), and multiple linear regression (MLR) have been widely used to predict the compressive strength and shrinkage behavior of OPC concrete; and some studies have started to develop the ANN and ML to predict the compressive strength of GP [46,47,48,49,50,51,52,53]. For shrinkage of GP, a study indicates that the accuracy of the ANN model is higher than that of the MLR [54].
In this study, the activator molarity, unmolding time, MgO content, and curing conditions were used to investigate the shrinkage of GGBFS-based GP. Besides, three kinds of the ML, including random forest, discission tree, and the MLR, were used to analyze the 28 days’ length change ratio of GP to evaluate the effect of the above parameters.

2. Material

The purpose of this study was to add activated MgO into the GGBFS-based GP to compensate for the shrinkage of GP. In this work, GP was made by GGBFS activated with sodium-based alkaline activators which contain sodium hydroxide (NaOH), sodium silicate (Na2SiO3), and sodium aluminate (NaAlO2). To facilitate the comparison of the length change ratio, this study did not use aggregates in the experiment to avoid the influence of aggregates and their moisture content.

2.1. GGBFS

The GGBFS powder was produced by CHC Resources Corp. (Kaohsiung, Taiwan), with a mean particle size (D50) is 12.33 μm, specific surface area of 4000 cm2/g, and bulk density of 2.9. The chemical composition of GGBFS is shown in Table 1.

2.2. Alkaline Activator

The sodium-based alkaline activator was used in this study; the activator contains tap water, NaOH (industrial-grade, 95%), Na2SiO3 (Baumé scale is 15°, Na2O content is 9–10%, and SiO2 content is 28–30%), and NaAlO2 (molar ratio of Na/Al is 1.18, Na2O is 19.5%, Al2O3 is 26.5%). The alkaline activators with the molarity of NaOH include 2 M, 4 M, 6 M, and 8 M. The molar ratio of Si/Na and Si/Al is 1.28 and 50, respectively.

2.3. MgO

The type of MgO used in this study was UC95S produced by Ube Material Industries LTD, Japan. The mean particle size (D50) and specific surface area of MgO are 2.735 μm and 25.0 m2/g. The chemical composition of MgO is shown in Table 2. The activity of MgO was 78.0% tested by the hydration method according to YB/T 4019–2006.

3. Experiment

The preparation of the specimen, experimental planning, method, and equipment are described as follows.

3.1. Preparation of Specimen

The GP specimen preparation procedures were as follows: (1) Premix GGBFS and MgO powders in a mixer. (2) Pour activator into the premixed powder and stir it until the slurry became uniform. (3) Cast the above slurry into mold and seal. (4) Set aside the specimens at room temperature. (5) Unmold and measure the initial length of the specimen. (6) Cure the specimen under four environments.

3.2. Experimental Planning

This study divided the GP specimen into two groups. The first group fixed A/B as 0.53 ± 0.03, and another group fixed the fluidity as 110 ± 5% of the flow table test. In addition, this study also investigated the effect of unmolding time on the length change ratio. Thus, part of the specimen was unmolded at the age of 3 h and the other was 24 h. The specimens unmolded at the age of 3 h were activated with 2 M, 4 M, and 6 M molar activators; and the specimen unmolded at the age of 24 h were activated with 4 M, 6 M, and 8 M molar activators. The addition of MgO was 0%, 10%, 15%, and 20% in weight of GGBFS. The environmental factor to the length change ratio of GP is also considered. The GP specimen is cured in four environments, i.e., room temperature, air-dry, water bath (23 °C), or steam (65 °C). Each combination of factors prepared three specimens and the total number of specimens is 180, as shown in Table 3.

3.3. Experimental Method and Equipment

The fluidity of the slurry was tested according to ASTM C230 standards. The length change ratio referred to ASTM C157 standards of curing in the air-dry environment using a temperature and humidity chamber. In addition, the specimens were also cured in the water tank or steam chamber. XRD was used to detect the hydration reaction of MgO. If there is a peak of Mg(OH)2, it means that MgO is hydrated and has expansion behavior.

4. Result and Discussion

The test results and discussion of fluidity, length change ratio, and XRD analysis are as follows.

4.1. Slurry Fluidity

The fluidity of the fresh slurry was decided by the average value of the measured slump length in four directions, 0, 45, 90, and 135 degrees after the vibration of the flow table. When the fluidity was fixed under 110 ± 5%, the corresponding values of A/B are shown in Figure 1. The result shows that to maintain the workability of the GP slurry, the A/B was increased with the addition of MgO and the molarity of the activator due to the absorption of water by addition powder. Besides, the viscosity was increased with the molarity, which presented the same trend as the literature [55,56,57].

4.2. Length Change Ratio

First, the shrinkage characteristics of OPC will be described to compare the different shrinkage of GP and OPC. The water-cement ratio (W/C) of the OPC specimen was 0.28, which is sufficient to produce a fluidity of 110 ± 5%. The OPC was unmolded after 24 h and the length change ratio was −0.291%, 0.045%, and 0.088% under air-dry, water bath, and steam curing conditions until 28 days of age, respectively. Figure 2 shows that the length change ratio of the OPC specimens will slightly expand when cured in water and steam, indicating that moisture can prevent shrinkage. This result is consistent with the literature [58,59,60]. The OPC cured in the air-dry environment exhibits shrinkage less than 0.3%.
Figure 3 shows the appearance of GP specimens after seven days in four curing environments. In addition to the water curing, the other three types of curing show great length variation. Room temperature shows obvious cracks. For air-dry curing, parts of specimens were bent due to large shrinkage. For water bath curing, there is no obvious change in appearance. For steam curing, the specimens ruptured into 2–4 pieces without bending, which may be due to the expansion. To measure the length of those fractured specimens, the fractured pieces were temporarily connected as possible during the measurement.
The composition, curing conditions, A/B ratio, fluidity, and the 28-day length change ratio of all the GP specimens unmold at the age of 3 h and 24 h are listed in Table 4 and Table 5, respectively. In the fixed A/B and room temperature curing conditions, the length change ratio of the specimens with unmolding time at the age of 3 h was increased from −1.522% to −0.895% by increasing the addition of MgO from 0% to 15%, respectively; the shrinkage was reduced by 41.2%, as shown in Figure 4a. In the fixed A/B and air-dry curing conditions, the length change ratio of the specimens with unmolding time at the age of 24 h by increasing the addition of MgO from 0% to 20%, the shrinkage of GP specimens could be reduced by 25.6%, as shown in Figure 4b. The result indicated that during the fixed A/B condition, the specimens containing more MgO exhibited less shrinkage. The reason might be the hydration of MgO, which form the Mg(OH)2 and increase its volume [43].
In the fixed fluidity and air-dry curing conditions, the result shows that the length change ratio of 4 M without MgO specimens with the unmolding time at the age of 3 h and 24 h are −2.642% and −0.752%, respectively; and the length change ratio of 6 M specimens are −1.945% and −0.728%, respectively, which indicates that the earlier unmolding time exhibits the larger shrinkage. Besides, with increasing MgO content, the A/B and shrinkage of GP are increased.
Figure 5 and Figure 6 show the air-dry curing result of the specimen fixed fluidity and unmold at age of 3 and 24 h, respectively. The results indicate that the addition of MgO increased shrinkage, showing an opposite trend from the set fixed A/B. In addition, the results also show the trend of shrinkage decreased slightly with increasing activator molarity from 2 M to 8 M, which is consistent with the literature, increasing the NaOH molarity of the activator can reduce GP shrinkage [42]. It was also found that earlier unmolding resulted in larger shrinkage. Compared to the GP specimens without containing MgO with the OPC specimen, shown in Figure 2a and Figure 6, the 28-day shrinkage of GP specimens cured in the air-dry environment was 2.4–3.3 times larger than OPC.
Figure 7 shows the water bath curing result, it indicates that the GP specimen will slightly expand. It was also found that the expansion will increase with a higher NaOH molarity of activator and MgO content. In addition, compared with OPC, as shown in Figure 2b, all GP specimens were 1.26–3.6 times larger than OPC, besides the 2 M specimen without containing MgO. Figure 8 shows the steam curing result, which indicates that the GP specimen will expand, and the more MgO contents, the more rapid the expansion will be. Both GP specimens without containing MgO and OPC specimens exhibited similar expansion, as shown in Figure 2c. Furthermore, as the NaOH molarity of the activator increases from 2 M to 6 M, the expansion also tends to increase slightly.

4.3. XRD Analysis

XRD was used to check the Mg(OH)2 that occurred from the MgO hydration. When there was Mg(OH)2, the volume of MgO was expanded with hydration, and the shrinkage of GP specimen might be compensated. Figure 9a is the XRD analysis result of the 2 M to 6 M GP specimens cured in the steam environment for seven days. The results show that all specimens with the addition of MgO had characteristic peaks of MgO and Mg(OH)2. With the addition of MgO from 10% to 20%, the diffraction intensities of MgO and Mg(OH)2 tended to increase. Figure 9b presents the XRD analysis result of the 6 M GP specimens cured in different environments for 28 days. The results show that the peak width of around 30 degrees tends to narrow when the specimens were cured in high humidity and temperature. The specimens with the addition of 20% MgO and cured in the air-drying environment did not have obvious characteristic peaks of Mg(OH)2, which indicated the hydration of MgO did not occur. The specimens with the addition of 20% MgO and cured in the water bath environment show very weak characteristic peaks of Mg(OH)2, which is represented that only a few MgO hydrated to Mg(OH)2. Although the steam-cured specimens show part of the MgO hydrated to Mg(OH)2, there remain strong characteristic peaks of MgO, which is represented that the specimens will continue to expand after 28 days of curing. The length change ratio test also conforms to it, as seen in Figure 8. In a dry environment, Mg(OH)2 could not be found in the GP specimen containing MgO, which indicated the MgO did not compensate for the shrinkage; yet in the high temperature and humidity environment, the GP containing MgO would overexpand.

5. Machine Learning for Main Factors of Length Change Ratio

We aggregated all the specimens (124 records) for a combined analysis to offer a comprehensive picture of the length change ratio of the specimens examined under the various conditions stated in the preceding section. The goal of this analysis was to ascertain the most significant factors affecting the length change ratio after 28 days. This analysis utilized three statistical and machine learning methods: decision tree, multiple regression, and random forest. The decision tree in this analysis was implemented using the R package rpart(). The produced decision tree, which is a regression tree because it produces numerical values, is shown in Figure 10.
As illustrated in Figure 10, the regression tree analysis yields the following rules:
  • If the specimen is air-dry cured, unmolded after three hours, and the MgO amount is more than or equal to 5%, then the expected length change ratio is −3.3%.
  • If the specimen is air-dry cured, unmolded after three hours, and the MgO amount is less than 5%, then the expected length change ratio is −2.2%.
  • If the specimen is room-temperature cured and demolded three hours later, then the expected length change ratio is −1.2%.
  • If the specimen is air-dry or room-temperature cured and demolded 24 h later, then the expected length change ratio is −0.95%
  • If the specimen is water-bath cured, then the expected length change ratio is 0.1%.
  • If the specimen is steam cured and the MgO amount is less than 15%, then the expected length change ratio is 0.33%.
  • If the specimen is steam cured and the MgO amount is more than or equal to 15%, then the expected length change ratio is 1.5%.
These rules and Figure 10 demonstrate unequivocally that the curing condition is the single most critical factor affecting the length change ratio of the specimens after 28 days. The unmolding time or MgO amount comes after the curing condition. In rules 1 and 2, increased MgO results in increased shrinkage. However, in rules 6 and 7, an increase in MgO causes an increase in expansion. This is consistent with the observation made in the preceding section.
The lm() function in R was used to perform a multiple regression analysis. The outcome is depicted in Figure 11. When lm() came across the two-level factor variable, unmolding time, it created a new binary variable (unmolding_time3_hours). This variable (unmolding_time3_hours) was set to 1 if the specimen was unmolded after three hours and to 0 if it was unmolded after 24 h. Similarly, lm() established three binary variables (curingroom_temp, curingsteam, and curingwater_bath) for the curing condition. Their values were set to 0 or 1 in accordance with one of the four curing conditions (air-dry, room-temperature, water-bath, and steam).
As illustrated in Figure 11, the multiple regression model is statistically significant at a p-value of less than 2.2 × 10−16. Additionally, the variables relating to the unmolding time and curing condition, as well as the NaOH concentration, are all statistically significant at the 0.001 level. The MgO amount and A/B ratio are also significant, but only at the 0.05 level. It is worth noting that MgO amount has a coefficient of 0.05, indicating that it has the expansive effect described in the literature. The shrinkage impact is primarily caused by the A/B ratio (−6.86) and the three-hour unmolding (−2.10). As a result, these two variables compensate for and overshadow MgO’s expansive effect.
Finally, we utilized the R package “randomForest” to assess the specimens’ length change rate with the average of 1000 individual decision trees and to determine the most significant factors. The outcome is depicted in Figure 12. The two most critical factors are the curing condition and unmolding time, as measured by both the mean decrease accuracy (%IncMSE) and the mean decrease Gini (IncNodePurity). This result is consistent with those of decision tree and multiple regression analysis. In comparison to the curing condition and unmolding time, the other four factors are far less critical. Among these, the MgO amount is only the third or fifth most important factor in influencing the rate at which the specimens change length.

6. Conclusions

In this study, we utilized the addition of MgO to compensate for the shrinkage of the GGBFS-based GP cured in different environments and concluded the following from the experimental and analytical results:
  • When the activator to binder ratio was fixed, the shrinkage of the GP cured in an air-dry and room temperature environment was decreased with the addition of MgO.
  • The workability of fresh GP slurry will reduce with the addition of MgO. It is necessary to increase the activator to binder ratio to maintain fluidity. However, the shrinkage of GP will increase.
  • Comparing GP specimens unmolded at 3 h and 24 h, delaying the demolding time can reduce shrinkage.
  • The XRD results indicate the shrinkage of GP cured in the air-dry environment cannot be compensated by MgO because there is not enough water to hydrate the MgO to form Mg(OH)2.
  • The GP specimens cured in a moist environment (water-bath and steam) can avoid shrinkage and produce slight expansion, while the addition of MgO may cause over-expansion and fracture.
  • Increasing the NaOH molarity of the activator from 2 M to 8 M can reduce the shrinkage of GP under air-dry curing, and can also increase the expansion under water bath can steam curing.
  • The results of the statistical and machine learning analysis show that the length change ratio of GP is mainly affected by curing conditions and unmolding time, while the addition of MgO is not the main factor.

Author Contributions

Conceptualization, Y.-C.C. and T.-W.C.; data curation, Y.-C.C.; investigation, Y.-C.C.; methodology, W.-H.L., T.-W.C. and W.C.; project administration, W.-H.L. and Y.-F.L.; software, W.C.; supervision, W.-H.L., T.-W.C. and Y.-F.L.; writing—original draft, W.C.; writing—review & editing, Y.-C.C., W.-H.L., T.-W.C. and Y.-F.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the “Research Center of Energy Conservation for New Generation of Residential, Commercial, and Industrial Sectors” from the Ministry of Education in Taiwan under contract No. L7101101-19.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Worrell, E.; Price, L.; Martin, N.; Hendriks, C.; Meida, L.O. Carbon dioxide emissions from the global cement industry. Annu. Rev. Energy Environ. 2001, 26, 303–329. [Google Scholar] [CrossRef]
  2. Benhelal, E.; Zahedi, G.; Shamsaei, E.; Bahadori, A. Global strategies and potentials to curb CO2 emissions in cement industry. J. Clean. Prod. 2013, 51, 142–161. [Google Scholar] [CrossRef]
  3. Hasanbeigi, A.; Price, L.; Lin, E. Emerging energy-efficiency and CO2 emission-reduction technologies for cement and concrete production: A technical review. Renew. Sustain. Energy Rev. 2012, 16, 6220–6238. [Google Scholar] [CrossRef]
  4. Wei, J.; Cen, K. Empirical assessing cement CO2 emissions based on china’s economic and social development during 2001–2030. Sci. Total Environ. 2019, 653, 200–211. [Google Scholar] [CrossRef]
  5. Najabat, A.; Abbas, J.; Muhammad, A.; Shazada, K.; Muhammad, A.; Adil, H.; Muhammad, R.; Xu, M. The greenhouse gas emissions produced by cement production and its impact on environment: A review of global cement processing. Int. J. Res. 2015, 2, 488–500. [Google Scholar]
  6. Alghamdi, H. A review of cementitious alternatives within the development of environmental sustainability associated with cement replacement. Environ. Sci. Pollut. Res. 2022, 29, 42433–42451. [Google Scholar] [CrossRef] [PubMed]
  7. Wojtacha-Rychter, K.; Kucharski, P.; Smolinski, A. Conventional and alternative sources of thermal energy in the production of cement—An impact on CO2 emission. Energies 2021, 14, 1539. [Google Scholar] [CrossRef]
  8. Vargas, J.; Halog, A. Effective carbon emission reductions from using upgraded fly ash in the cement industry. J. Clean. Prod. 2015, 103, 948–959. [Google Scholar] [CrossRef]
  9. McLellan, B.C.; Williams, R.P.; Lay, J.; van Riessen, A.; Corder, G.D. Costs and carbon emissions for geopolymer pastes in comparison to ordinary Portland cement. J. Clean. Prod. 2011, 19, 1080–1090. [Google Scholar] [CrossRef]
  10. Davidovits, J. Synthesis of new high-temperature geo-polymers for reinforced plastics/composites. In Proceedings of the PACTEC ’79 Society of Plastics Engineers, Costa Mesa, CA, USA, 31 January–2 February 1979; pp. 151–154. [Google Scholar]
  11. Davidovits, J. Why Alkali-Activated Materials (AAM) Are Not Geopolymers? Technical Paper #25; Geopolymer Institute Library: Saint-Quentin, France, 2018; Available online: www.geopolymer.org (accessed on 10 November 2018). [CrossRef]
  12. Davidovits, J. Solid-phase synthesis of a mineral blockpolymer by low temperature polycondensation of alumino-silicate polymers: Na-Poly(Sialate) or Na-PS and characteristics. In Proceedings of the Conference: IUPAC Symposium on Long-Term Properties of Polymers and Polymeric Materials. At: Stockholm, Sweden Volume: Topic III: New Polymers of High Stability, Stockholm, Sweden, 30 August–1 September 1976. [Google Scholar]
  13. Fernández-Jiménez, A.; Palomo, A.; Sobrados, I.; Sanz, J. The role played by the reactive alumina content in the alkaline activation of fly ashes. Microporous Mesoporous Mater. 2006, 91, 111–119. [Google Scholar] [CrossRef]
  14. Liu, Y.; Yan, C.; Zhang, Z.; Wang, H.; Zhou, S.; Zhou, W. A comparative study on fly ash, geopolymer and faujasite block for pb removal from aqueous solution. Fuel 2016, 185, 181–189. [Google Scholar] [CrossRef]
  15. Marvila, M.T.; de Azevedo, A.R.G.; Vieira, C.M.F. Reaction mechanisms of alkali-activated materials. Rev. IBRACON De Estrut. Mater. 2021, 14, e14309. [Google Scholar] [CrossRef]
  16. Davidovits, J. Geopolymer cements to minimize carbon dioxide greenhouse warming. Ceram. Trans. 1993, 37, 165–182. [Google Scholar]
  17. Turner, L.K.; Collins, F.G. Carbon dioxide equivalent (CO2-e) emissions: A comparison between geopolymer and OPC cement concrete. Constr. Build. Mater. 2013, 43, 125–130. [Google Scholar] [CrossRef]
  18. Fahim Huseien, G.; Mirza, J.; Ismail, M.; Ghoshal, S.K.; Abdulameer Hussein, A. Geopolymer mortars as sustainable repair material: A comprehensive review. Renew. Sustain. Energy Rev. 2017, 80, 54–74. [Google Scholar] [CrossRef]
  19. Luhar, S.; Nicolaides, D.; Luhar, I. Fire resistance behaviour of geopolymer concrete: An overview. Buildings 2021, 11, 82. [Google Scholar] [CrossRef]
  20. Temuujin, J.; Rickard, W.; Lee, M.; van Riessen, A. Preparation and thermal properties of fire resistant metakaolin-based geopolymer-type coatings. J. Non-Cryst. Solids 2011, 357, 1399–1404. [Google Scholar] [CrossRef]
  21. Lahoti, M.; Tan, K.H.; Yang, E.-H. A Critical review of geopolymer properties for structural fire-resistance applications. Constr. Build. Mater. 2019, 221, 514–526. [Google Scholar] [CrossRef]
  22. Youssef, N.; Rabenantoandro, A.Z.; Dakhli, Z.; Chapiseau, C.; Waendendries, F.; Hage Chehade, F.; Lafhaj, Z. Reuse of waste bricks: A new generation of geopolymer bricks. SN Appl. Sci. 2019, 1, 1252. [Google Scholar] [CrossRef]
  23. Madani, H.; Ramezanianpour, A.A.; Shahbazinia, M.; Ahmadi, E. Geopolymer bricks made from less active waste materials. Constr. Build. Mater. 2020, 247, 118441. [Google Scholar] [CrossRef]
  24. Lavanya, B.; Kuriya, P.D.; Suganesh, S.; Indrajith, R.; Chokkalingam, R.B. Properties of geopolymer bricks made with flyash and GGBS. IOP Conf. Ser. Mater. Sci. Eng. 2020, 872, 012141. [Google Scholar] [CrossRef]
  25. Kumar, R.; Das, P.; Beulah, M.; Arjun, H.R. Geopolymer bricks using iron ore tailings, slag sand, ground granular blast furnace slag and fly ash. In Geopolymers and Other Geosynthetic; Chapter 4; IntechOpen: London, UK, 2020. [Google Scholar]
  26. Tennakoon, C.; Shayan, A.; Sanjayan, J.G.; Xu, A. Chloride ingress and steel corrosion in geopolymer concrete based on long term tests. Mater. Des. 2017, 116, 287–299. [Google Scholar] [CrossRef]
  27. Gunasekara, C.; Law, D.; Bhuiyan, S.; Setunge, S.; Ward, L. Chloride induced corrosion in different fly ash based geopolymer concretes. Constr. Build. Mater. 2019, 200, 502–513. [Google Scholar] [CrossRef]
  28. Bakharev, T.; Sanjayan, J.G.; Cheng, Y.-B. Sulfate attack on alkali-activated slag concrete. Cem. Concr. Res. 2002, 32, 211–216. [Google Scholar] [CrossRef]
  29. Palomo, A.; Blanco-Varela, M.T.; Granizo, M.L.; Puertas, F.; Vazquez, T.; Grutzeck, M.W. Chemical stability of cementitious materials based on metakaolin. Cem. Concr. Res. 1999, 29, 997–1004. [Google Scholar] [CrossRef]
  30. Cheng, T.W.; Chiu, J.P. Fire-resistant geopolymer produced by granulated blast furnace slag. Miner. Eng. 2003, 16, 205–210. [Google Scholar] [CrossRef]
  31. Hadi, M.N.S.; Farhan, N.A.; Sheikh, M.N. Design of geopolymer concrete with ggbfs at ambient curing condition using Taguchi method. Constr. Build. Mater. 2017, 140, 424–431. [Google Scholar] [CrossRef]
  32. Huseien, G.F.; Mirza, J.; Ismail, M.; Ghoshal, S.K.; Ariffin, M.A.M. Effect of metakaolin replaced granulated blast furnace slag on fresh and early strength properties of geopolymer mortar. Ain Shams Eng. J. 2018, 9, 1557–1566. [Google Scholar] [CrossRef]
  33. Collins, F.; Sanjayan, J.G. Cracking tendency of alkali-activated slag concrete subjected to restrained shrinkage. Cem. Concr. Res. 2000, 30, 791–798. [Google Scholar] [CrossRef]
  34. Cartwright, C.; Rajabipour, F.; Radlińska, A. Shrinkage characteristics of alkali-activated slag cements. J. Mater. Civ. Eng. 2015, 27. [Google Scholar] [CrossRef]
  35. Cai, Y.; Yu, L.; Yang, Y.; Gao, Y.; Yang, C. Effect of early age-curing methods on drying shrinkage of alkali-activated slag concrete. Materials 2019, 12, 1633. [Google Scholar] [CrossRef] [PubMed]
  36. Wallah, S.E. Drying shrinkage of heat-cured fly ash-based geopolymer concrete. Mod. Appl. Sci. 2009, 3, 14–21. [Google Scholar] [CrossRef]
  37. Duran Atiş, C.; Bilim, C.; Çelik, Ö.; Karahan, O. Influence of activator on the strength and drying shrinkage of alkali-activated slag mortar. Constr. Build. Mater. 2009, 23, 548–555. [Google Scholar] [CrossRef]
  38. Collins, F.; Sanjayan, J.G. Microcracking and strength development of alkali activated slag concrete. Cem. Concr. Compos. 2001, 23, 345–352. [Google Scholar] [CrossRef]
  39. Ye, H.; Radlińska, A. Shrinkage mechanisms of alkali-activated slag. Cem. Concr. Res. 2016, 88, 126–135. [Google Scholar] [CrossRef]
  40. Kuenzel, C.; Vandeperre, L.J.; Donatello, S.; Boccaccini, A.R.; Cheeseman, C. Ambient temperature drying shrinkage and cracking in metakaolin-based geopolymers. J. Am. Ceram. Soc. 2012, 95, 3270–3277. [Google Scholar] [CrossRef]
  41. Chen, B.; Wang, J.; Zhao, J. Mitigating the drying shrinkage and autogenous shrinkage of alkali-activated slag by NaAlO2. Materials 2020, 13, 3499. [Google Scholar] [CrossRef]
  42. Mermerdaş, K.; Algın, Z.; Ekmen, Ş. Experimental assessment and optimization of mix parameters of fly ash-based lightweight geopolymer mortar with respect to shrinkage and strength. J. Build. Eng. 2020, 31, 101351. [Google Scholar] [CrossRef]
  43. Li, Z.; Zhang, W.; Wang, R.; Chen, F.; Jia, X.; Cong, P. Effects of reactive mgo on the reaction process of geopolymer. Materials 2019, 12, 526. [Google Scholar] [CrossRef] [PubMed]
  44. Hanjitsuwan, S.; Injorhor, B.; Phoo-ngernkham, T.; Damrongwiriyanupap, N.; Li, L.-Y.; Sukontasukkul, P.; Chindaprasirt, P. Drying shrinkage, strength and microstructure of alkali-activated high-calcium fly ash using fgd-gypsum and dolomite as expansive additive. Cem. Concr. Compos. 2020, 114, 103760. [Google Scholar] [CrossRef]
  45. Palacios, M.; Puertas, F. Effect of shrinkage-reducing admixtures on the properties of alkali-activated slag mortars and pastes. Cem. Concr. Res. 2007, 37, 691–702. [Google Scholar] [CrossRef]
  46. Dao, D.; Ly, H.-B.; Trinh, S.; Le, T.-T.; Pham, B. Artificial intelligence approaches for prediction of compressive strength of geopolymer concrete. Materials 2019, 12, 983. [Google Scholar] [CrossRef]
  47. Zou, Y.; Zheng, C.; Alzahrani, A.M.; Ahmad, W.; Ahmad, A.; Mohamed, A.M.; Khallaf, R.; Elattar, S. Evaluation of artificial intelligence methods to estimate the compressive strength of geopolymers. Gels 2022, 8, 271. [Google Scholar] [CrossRef]
  48. Ahmad, A.; Ahmad, W.; Aslam, F.; Joyklad, P. Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques. Case Stud. Constr. Mater. 2022, 16, e00840. [Google Scholar] [CrossRef]
  49. Wang, Q.; Ahmad, W.; Ahmad, A.; Aslam, F.; Mohamed, A.; Vatin, N.I. Application of soft computing techniques to predict the strength of geopolymer composites. Polymers 2022, 14, 1074. [Google Scholar] [CrossRef]
  50. Cao, R.; Fang, Z.; Jin, M.; Shang, Y. Application of machine learning approaches to predict the strength property of geopolymer concrete. Materials 2022, 15, 2400. [Google Scholar] [CrossRef] [PubMed]
  51. Bal, L.; Buyle-Bodin, F. Artificial neural network for predicting drying shrinkage of concrete. Constr. Build. Mater. 2013, 38, 248–254. [Google Scholar] [CrossRef]
  52. Kioumarsi, M.; Azarhomayun, F.; Haji, M.; Shekarchi, M. Effect of shrinkage reducing admixture on drying shrinkage of concrete with different w/c ratios. Materials 2020, 13, 5721. [Google Scholar] [CrossRef] [PubMed]
  53. Lee, S.-C. Prediction of concrete strength using artificial neural networks. Eng. Struct. 2003, 25, 849–857. [Google Scholar] [CrossRef]
  54. Adesanya, E.; Aladejare, A.; Adediran, A.; Lawal, A.; Illikainen, M. Predicting shrinkage of alkali-activated blast furnace-fly ash mortars using artificial neural network (ANN). Cem. Concr. Compos. 2021, 124, 104265. [Google Scholar] [CrossRef]
  55. Shilar, F.A.; Ganachari, S.V.; Patil, V.B.; Khan, T.M.Y.; Dawood Abdul Khadar, S. Molarity Activity Effect on mechanical and microstructure properties of geopolymer concrete: A review. Case Stud. Constr. Mater. 2022, 16, e01014. [Google Scholar] [CrossRef]
  56. Shilar, F.A.; Ganachari, S.V.; Patil, V.B.; Nisar, K.S.; Abdel-Aty, A.-H.; Yahia, I.S. Evaluation of the effect of granite waste powder by varying the molarity of activator on the mechanical properties of ground granulated blast-furnace slag-based geopolymer concrete. Polymers 2022, 14, 306. [Google Scholar] [CrossRef] [PubMed]
  57. Memon, F.A.; Nuruddin, M.F.; Khan, S.; Shafiq, N.A.; Ayub, T. Effect of sodium hydroxide concentration on fresh properties and compressive strength of self-compacting geopolymer concrete. J. Eng. Sci. Technol. 2013, 8, 44–56. [Google Scholar]
  58. Rahman, S.H.B.A.; Irawan, S.; Shafiq, N.; Rajeswary, R. Investigating the expansion characteristics of geopolymer cement samples in a water bath and compared with the expansion of ASTM class-g cement. Heliyon 2020, 6, e03478. [Google Scholar] [CrossRef] [PubMed]
  59. Cohen, M.D.; Mobasher, B. Drying shrinkage of expansive cements. J. Mater. Sci. 1988, 23, 1976–1980. [Google Scholar] [CrossRef]
  60. Kurihara, R.; Maruyama, I. Effects of heating and drying on the strength and stiffness of high-early-strength Portland cement pastes. Cem. Concr. Compos. 2020, 106, 103455. [Google Scholar] [CrossRef]
Figure 1. The activator to binder ratios of GP contains different amounts of MgO to make the fluidity of 110 ± 5%.
Figure 1. The activator to binder ratios of GP contains different amounts of MgO to make the fluidity of 110 ± 5%.
Polymers 14 03386 g001
Figure 2. The length change ratios of the OPC specimens demold at age of 24 h and then cured in 3 environments. (a) Air-dry; (b) Water bath; (c) Steam.
Figure 2. The length change ratios of the OPC specimens demold at age of 24 h and then cured in 3 environments. (a) Air-dry; (b) Water bath; (c) Steam.
Polymers 14 03386 g002
Figure 3. The appearance of GP specimen cured in three environments at the age of 7 days. (a) Air-dry; (b) Water bath; (c) Steam; (d) Room temperature.
Figure 3. The appearance of GP specimen cured in three environments at the age of 7 days. (a) Air-dry; (b) Water bath; (c) Steam; (d) Room temperature.
Polymers 14 03386 g003
Figure 4. The length change ratios of the GP specimens (fixed A/B). (a) 3 h unmolding and A/B is 0.50 (room-temperature); (b) 24 h unmolding and A/B is 0.53 (air-dry).
Figure 4. The length change ratios of the GP specimens (fixed A/B). (a) 3 h unmolding and A/B is 0.50 (room-temperature); (b) 24 h unmolding and A/B is 0.53 (air-dry).
Polymers 14 03386 g004
Figure 5. The length change ratios of the GP specimens fixed fluidity and demold at age of 3 h and then air-dry curing. (a) 4 M; (b) 6 M; (c) 8 M.
Figure 5. The length change ratios of the GP specimens fixed fluidity and demold at age of 3 h and then air-dry curing. (a) 4 M; (b) 6 M; (c) 8 M.
Polymers 14 03386 g005
Figure 6. The length change ratios of the GP specimens fixed fluidity and demold at age of 24 h and then air-dry curing. (a) 2 M; (b) 4 M; (c) 6 M.
Figure 6. The length change ratios of the GP specimens fixed fluidity and demold at age of 24 h and then air-dry curing. (a) 2 M; (b) 4 M; (c) 6 M.
Polymers 14 03386 g006
Figure 7. The length change ratios of the specimens demold at age of 24 h and then water bath curing. (a) 2 M; (b) 4 M; (c) 6 M.
Figure 7. The length change ratios of the specimens demold at age of 24 h and then water bath curing. (a) 2 M; (b) 4 M; (c) 6 M.
Polymers 14 03386 g007
Figure 8. The length change ratio of the specimen demold at age of 24 h and steam curing. (a) 2 M; (b) 4 M; (c) 6 M.
Figure 8. The length change ratio of the specimen demold at age of 24 h and steam curing. (a) 2 M; (b) 4 M; (c) 6 M.
Polymers 14 03386 g008
Figure 9. XRD analysis of the GGBFS-based GP specimens contains different amounts of MgO and various curing environments. (a) Steam curing for 7 days; (b) 6 M GP curing in 3 environments for 28 days.
Figure 9. XRD analysis of the GGBFS-based GP specimens contains different amounts of MgO and various curing environments. (a) Steam curing for 7 days; (b) 6 M GP curing in 3 environments for 28 days.
Polymers 14 03386 g009
Figure 10. The regression tree for the rate of length change using data of 124 specimens.
Figure 10. The regression tree for the rate of length change using data of 124 specimens.
Polymers 14 03386 g010
Figure 11. The multiple regression analysis for the length change ratio basing on 124 specimens’ data.
Figure 11. The multiple regression analysis for the length change ratio basing on 124 specimens’ data.
Polymers 14 03386 g011
Figure 12. The most significant influencing factors on the length change ratio as determined by random forest.
Figure 12. The most significant influencing factors on the length change ratio as determined by random forest.
Polymers 14 03386 g012
Table 1. The chemical composition of GGBFS.
Table 1. The chemical composition of GGBFS.
CompositionCaOSiO2Al2O3MgOSO2TiO2Fe2O3MnO2K2OP2O5Cr2O3SrOZrO2Total
Percentage (%)47.3232.439.965.162.290.800.600.550.410.290.020.110.06100.00
Table 2. The chemical composition of magnesium oxide.
Table 2. The chemical composition of magnesium oxide.
CompositionMgOSiO2SO2CaOK2OP2O5TiO2MnO2Total
Percentage (%)94.672.221.520.890.340.270.050.03100.00
Table 3. The experimental planning of the length change ratio.
Table 3. The experimental planning of the length change ratio.
Unmolding TimeGroupCuring
Environment
NaOH Molarity
(M)
MgO (%)Number of
Specimen
3 hFix A/BRoom Temp.60, 10, 159
Fix FluidityAir-Dry4, 6, 80, 10, 2027
Steam4, 6, 80, 10, 2027
Water bath4, 6, 80, 10, 2027
24 hFix A/BAir-Dry60, 10, 209
Fix FluidityAir-Dry2, 4, 60, 10, 2027
Steam2, 4, 60, 10, 2027
Water bath2, 4, 60, 10, 2027
Table 4. The length change ratios of the specimens unmolded at the age of 3 h.
Table 4. The length change ratios of the specimens unmolded at the age of 3 h.
FixedCuring
Environment
NaOH
Molarity
MgO (%)A/BFluidity (%)Length Change Ratio 1
(%)
Average of Length Change Ratio (%)
A/BRoom
Temperature
6 M00.50>200 2−1.521, −1.380, −1.666−1.522
10155−1.244, −1.236, −1.325−1.268
1598−1.143, −0.670, −0.873−0.895
FluidityAir-Dry4 M00.35110 ± 5−2.698, −2.606, −2.623−2.642
100.42−3.713, −3.739−3.726
200.50−4.084, −3.972, −4.006−4.021
6 M00.36−2.014, −1.956, −1.864−1.945
100.45−2.758, −2.841, −3.111−2.903
200.53−3.768, −3.834−3.801
8 M00.37−1.900, −1.854, −1.841−1.865
100.47−2.599, −2.558, −2.525−2.561
200.56−3.209, −2.993, −3.082−3.095
1 The result was obtained by the age of 28 days compared to the age of 3 h. 2 Test limitation of the flow table test is 200%.
Table 5. The length change ratios of the specimens unmolded at the age of 24 h.
Table 5. The length change ratios of the specimens unmolded at the age of 24 h.
FixedCuring
Environment
NaOH
Molarity
MgO (%)A/BFluidity (%)Length Change Ratio 1 (%) Average of Length Change Ratio (%)
A/BAir-Dry6 M00.53>200 2−1.222, −1.165, −1.217−1.201
10168−1.146, −1.181, −1.142−1.156
20113−0.906, −0.895, −0.879+0.893
FluidityAir-Dry2 M00.34110 ± 5−1.015, −0.987, −0.976−0.993
100.41−1.140, −0.959, −1.162−1.087
200.48−1.342, −1.430, −1.389−1.387
4 M00.35−0.741, −0.744, −0.772−0.752
100.42−0.779, −0.790, −0.778−0.782
200.50−0.946, −0.948, −0.925−0.940
6 M00.36−0.723, −0.740, −0.721−0.728
100.45−0.944, −0.913, −0.930−0.929
200.53−1.030, −1.022, −1.112−1.055
Steam2 M00.34+0.028, +0.036, +0.011+0.025
100.41+0.491, +0.498, +0.512+0.500
200.48+1.557, +1.584, +1.571+1.571
4 M00.35+0.098, +0.101, +0.090+0.096
100.42+0.501, +0.531, +0.510+0.514
200.50+1.192, +1.269, +1.238+1.233
6 M00.36+0.254, +0.132, +0.141+0.176
100.45+0.688, +0.744, +0.564+0.665
200.53+1.698, +1.781, +1.814+1.764
Water bath2 M00.34+0.023, +0.013, +0.013+0.016
100.41+0.058, +0.053, +0.061+0.057
200.48+0.088, +0.075, +0.089+0.084
4 M00.35+0.076, +0.076, +0.086+0.079
100.42+0.113, +0.125, +0.131+0.123
200.50+0.135, +0.150, +0.168+0.151
6 M00.36+0.104, +0.102, +0.111+0.106
100.45+0.161, +0.139, +0.144+0.148
200.53+0.154, +0.171, +0.167+0.164
1 The result was obtained by the age of 28 days compared to the age of 24 h. 2 Test limitation of the flow table test is 200%.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chen, Y.-C.; Lee, W.-H.; Cheng, T.-W.; Chen, W.; Li, Y.-F. The Length Change Ratio of Ground Granulated Blast Furnace Slag-Based Geopolymer Blended with Magnesium Oxide Cured in Various Environments. Polymers 2022, 14, 3386. https://doi.org/10.3390/polym14163386

AMA Style

Chen Y-C, Lee W-H, Cheng T-W, Chen W, Li Y-F. The Length Change Ratio of Ground Granulated Blast Furnace Slag-Based Geopolymer Blended with Magnesium Oxide Cured in Various Environments. Polymers. 2022; 14(16):3386. https://doi.org/10.3390/polym14163386

Chicago/Turabian Style

Chen, Yen-Chun, Wei-Hao Lee, Ta-Wui Cheng, Walter Chen, and Yeou-Fong Li. 2022. "The Length Change Ratio of Ground Granulated Blast Furnace Slag-Based Geopolymer Blended with Magnesium Oxide Cured in Various Environments" Polymers 14, no. 16: 3386. https://doi.org/10.3390/polym14163386

APA Style

Chen, Y. -C., Lee, W. -H., Cheng, T. -W., Chen, W., & Li, Y. -F. (2022). The Length Change Ratio of Ground Granulated Blast Furnace Slag-Based Geopolymer Blended with Magnesium Oxide Cured in Various Environments. Polymers, 14(16), 3386. https://doi.org/10.3390/polym14163386

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop