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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