박솔뫼
                     (Solmoi Park)
                     1
                     서용철
                     (Yongcheol Suh)
                     2†
                     남광희
                     (Kwang Hee Nam)
                     3
                     원윤상
                     (Younsang Won)
                     4
               
                  - 
                           부경대학교 토목공학과 조교수
                        (Pukyong National University)
                        
- 
                           부경대학교 토목공학과 교수
                        (Pukyong National University)
                        
- 
                           부경대학교 산학협력단 교수
                        (Pukyong National University)
                        
- 
                           부경대학교 산학협력단 교수
                        (Pukyong National University)
                        
 
            
            
            
            
            
            
               
                  
Key words (Korean)
               
               포틀랜드 시멘트, 고로슬래그, 해수, 열역학 모델링
             
            
               
                  
Key words
               
               Portland cement, Blast furnace slag, Seawater, Thermodynamic modeling
             
            
          
         
            
                  
                  - 
                     1. Introduction 
- 
                     2. Methods 
- 
                     3. Results 
- 
                     4. Conclusion 
 
            
                  1. Introduction
               Seawater contains various ions that may interact with cement hydrates. In addition
                  to chloride which induces corrosion of steel rebars embedded in concrete, seawater
                  also contains carbonates and sulfates that lead to precipitation of salts and induce
                  volumetric changes (De Weerdt et al., 2019). It is mandatory that marine concrete has high chloride binding capacity and high
                  resistance against chloride ingress, as well as good resistance against structural
                  changes that can be induced by ions contained in seawater.
               
               It is a common practice that concrete blended with supplementary cementitious materials
                  such as blast furnace slag, fly ash and silica fume is used instead of plain concrete
                  with Portland cement as a sole binder (Otieno et al., 2014). It has been shown that blended concrete exhibits better performance in terms of
                  resistance to chloride penetration (Song and Saraswathy, 2006), time-to-corrosion initiation (Mangat et al., 1994) and corrosion rate (Otieno et al., 2010; Scott and Alexander, 2007), when compared to plain concrete in both cracked and uncracked conditions (Aldea et al., 1999; Boulfiza et al., 2003). The improved chloride resistance of concrete blended with slag is attributed to
                  the densification of microstructure (Yeau and Kim, 2005), while phase development of slag cement in seawater has not been investigated in
                  detail. 
               
               This study therefore explores the long-term evolution of hydration products that forms
                  in slag-blended concrete in seawater by employing thermodynamic calculations, thereby
                  predicting stable hydration assemblages that are difficult to be obtained in laboratory
                  timescale. This technique has been previously employed to simulate the hydration phase
                  assemblages of various cementitious binders and to assess their likely durability
                  performance (Park et al., 2019; Park, 2020; Park et al., 2020a; Park et al., 2020b; Yoon et al., 2020). The results of this study may have important implications for designing concrete
                  with enhanced performance in marine environments.
               
             
            
                  2. Methods
               The modeled Portland cement containing 63.6 % C3S, 8.9 % C2S, 6.5 % C3A, 14.2 % C4AF, 0.4 % periclase, 4.0 % anhydrite and 2.3 % arcanite (by mass) was adapted from
                  a previous study (Snellings et al., 2014). The modeled blast furnace slag was also adapted from (Snellings et al., 2014), which contains 36.6 % SiO2, 12.2 % Al2O3, 0.85 % FeO, 41.6 % CaO, 7.2 MgO, 0.6 % SO3, 0.2 % Na2O, 0.3 % K2O and 0.4 % TiO2 (by mass) based on the oxide composition obtained by X-ray fluorescence. 
               
               The hydration phase assemblages of plain Portland cement, and that blended with 30,
                  50 and 70 mass- % slag at a water-to- binder ratio of 0.4 were predicted by thermodynamic
                  calculations. The reaction degrees of Portland cement clinkers (C3S, C2S, C3A and C4AF) were simulated using the hydration model proposed by Parrot’s hydration model
                  (Parrot, 1984). The reaction degrees of slag at varying dosages were obtained from
                  previous studies (Durdziński et al., 2017a; Durdziński et al., 2017b; Escalante et al., 2001), and were linearly extrapolated to the slag-to-binder compositions of 30 and 70
                  mass- %. In short, the reaction degrees of slag in the system with 30 and 70 % slag
                  were 39 % and 31 %, respectively. 
               
               The thermodynamic calculations were conducted using the Gibbs free energy minimization
                  software GEM-Selektor v.3.5. (Kulik et al., 2013; Wagner et al., 2012). CEMDATA18 (Lothenbach et al., 2019) which is a database containing thermodynamic properties of solids, solid-solutions
                  and aqueous phases encountered in hydration of cements was also employed. The activity
                  coefficients for aqueous species that may be present during the hydration were calculated
                  using the Trusdell-Jones extension to the Debey Hückel equation (Helgeson et al., 1981), which is given as follows:
               
               
               where 
                  : activity coefficient; 
                  : charge; 
                  : temperature- dependent coefficient; 
                  : pressure-dependent coefficient; 
                  : effective molal ionic strength; 
                  : molar quantity of water; 
                  : total molar amount of the aqueous phase; 
                  : common ion size parameter; and 
                  : short-range interaction parameter. The common ion size parameter and the short-range
                  interaction parameter were set to 3.72 Å and 0.064 kg/mol respectively, to simulate
                  NaCl-dominated background electrolyte.
               
               The thermodynamic modeling procedure was as follows: first, the thermodynamic database
                  to be used in the calculation was imported (CEMDATA18, in this case), then the aqueous
                  electrolyte model was selected. Here, Trusdell-Jones extension to the Debey Hückel
                  equation was chosen, since it is known to give reasonably accurate values for ionic
                  strength relevant to cement hydration. After defining elements which are present in
                  the calculation, their bulk elemental composition was defined according to the reaction
                  degrees reported in previous studies. Specifically, the portion of binder(s) which
                  have not reacted is ignored in the calculation, thus assuming that the local equilibrium
                  has been reached at the point of analysis. To simulate the effect of seawater, the
                  hydrated systems consisting of plain Portland cement, 30 % slag, 50 % slag or 70 %
                  slag were titrated with seawater by following the procedure described in (Shi et al., 2017), which showed that chloride profiling experimental results and the thermodynamic
                  calculations were in reasonable agreement. The chemical composition of the seawater
                  used in the calculations was adopted from (Millero et al., 2008).
               
             
            
                  3. Results
               The thermodynamic calculations have been conducted in this study to predict the phases
                  that are stable upon exposure to seawater beyond the experimental timescale. The thermodynamic
                  modeling predicts that C-S-H (CaO-xSiO2-yH2O), portlandite (Ca(OH)2), Fe-hydrogarnet and ettringite (Ca6Al2(SO4)3(OH)1226·H2O) are stable phases of the plain cement before exposure to seawater (Fig. 1). Replacing Portland cement with and increasing the dosage of slag are expected to
                  reduce the volume of overall solid phases, specifically, decreasing the volume of
                  C-S-H portlandite, ettringite and Fe-hydrogarnet, while leading to formation of monosulfate
                  and hydrotalcite. The simulation result suggests that portlandite is not fully consumed
                  even when the slag replacement ratio is as high as 70 %, since a large volume of slag
                  remains anhydrous. 
               
               
                  
                     	
                     
                           Fig. 1.
                        
                           
redicted Phase Assemblages of (a) Plain Cement and Blended Cements Containing (b)
                              30 %, (c) 50 %, and (d) 70 % Slag in Seawater
                           
                         
                     
                  
               
               Exposure of both plain and blended cements to seawater is calculated to destabilize
                  monosulfate to Kuzel’s salt which is gradually destabilized to Friedels’ salt, while
                  hydrotalcite that increasingly forms at higher slag contents remains mostly unaffected.
                  Hydrotalcite is formed as a transient phase to which Friedel’s salt is destabilized
                  in the plain cement, unlike the blended cements in which the volume of hydrotalcite
                  slightly changes upon destabilization of Friedel’s salt and formation of brucite.
                  Both plain and blended cements are predicted to undergo a volumetric change due to
                  ettringite and brucite, which are most abundantly formed in the plain cement, while
                  the volume change relative to the initial hydration phase assemblage is noticeably
                  less in the blended cements, except for that containing 30 % slag (Fig. 2). 
               
               
                  
                     	
                     
                           Fig. 2.
                        
                           
Simulated Volume Change in Plain and Blended Cements in Seawater
                         
                     
                  
               
               All the phases that are predicted stable before exposure to seawater are destabilized
                  except for hydrotalcite in the cements blended with 50 % and 70 % slag, while M-S-H
                  and calcite are predicted stable after extended time of exposure. In addition, gypsum
                  can be formed as a transient phase upon destabilization of ettringite, and brucite
                  is predicted unstable in the 50 % and 70 % slag-blended cements.
               
               The modeling results suggest that the enhanced chloride resistance of slag-blended
                  cements can be attributed to the higher amount of aluminate hydrates with a high chloride
                  binding capacity, namely hydrotalcite and monosulfate. It is interesting to note that
                  the simulated porosity results in Table 1 do not support for densification of microstructure when a certain amount of slag
                  is blended with Portland cement, and that the amount of C-S-H tends to decrease with
                  an increasing dosage of slag. Additionally, it is found from the thermodynamic modeling
                  results in Table 1 that slag incorporation in Portland cement (up to 70 %) is unlikely to lead to substantial
                  changes in the chemistry of C-S-H.
               
               
                     Table 1.
                  
                     
Simulated Porosity, pH, and Ca/Si of C-S-H in Plain and Blended Cements in Seawater
                  
                  
                        
                           
                              |  | Plain cement | 30 % slag | 50 % slag | 70 % slag | 
                        
                              | Porosity | 0.21 | 0.31 | 0.35 | 0.39 | 
                        
                              | pH | 13.98 | 13.75 | 13.31 | 13.35 | 
                        
                              | Ca/Si of C-S-H | 1.35 | 1.34 | 1.34 | 1.34 | 
                     
                  
                
               The modeled phase assemblage is expected to take very long time to take place and
                  certainly exceed the laboratory timescale, thus it is difficult to observe the modeled
                  evolution in the literature.
               
             
            
                  4. Conclusion
               The evolution of phases in slag-blended cements when exposed to seawater is simulated
                  by thermodynamic modeling in this study. The predicted hydration phase assemblages
                  of blended cements suggest that hydrotalcite and monosulfate are stable phases in
                  cements blended with <50 % slag, in addition to C-S-H, portlandite and ettringite
                  which are also observed in the plain cement. Formation of hydrotalcite in blended
                  cements destabilizes brucite, which otherwise abundantly forms and significantly induces
                  mineralogical changes. Thus, it can be concluded that slag incorporation in cement
                  not only leads to enhancing the chloride binding capacity, but also reduces susceptibility
                  to mineralogical alteration in marine environments.
               
             
          
         
            
                  Acknowledgements
               This study was supported by the Pukyong National University Development Project Research
                  Fund 2020, and by National Research Foundation of Korea (Grant No. 2018R1D1A1B07047233).
               
             
            
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