1. Introduction
Electric arc furnace (EAF) steelmaking uses ferrous waste iron and steel scrap as raw materials [
1]. It regenerates ferrous waste iron and steel scrap by smelting, and EAFs endow it with new value. Compared with traditional blast furnace-basic oxygen furnace (BF-BOF) steelmaking, EAF steelmaking is more environmentally friendly, especially in terms of energy demand, abiotic depletion, and global warming [
2]. However, the EAF steelmaking process also produces a large number of by-products, namely EAF slag. The EAF smelting process must go through two stages: the oxidation period and the reduction period. Thus, EAF slag can be subdivided into "oxidizing slag" and "reducing slag" [
3]. If these EAF slags are not used rationally, they must be stored. This will not only cause storage space problems, but will also cause environmental pollution and impacts; furthermore, it could even affect the normal production of steel. The cumulative production of EAF slag can have adverse effects on the environment [
4,
5]. To solve this environmental problem and to promote the sustainable development of human society, the recycling of EAF slag has become a hot research topic. Taiwan produces approximately 1.2 million metric tons of oxidizing slag and 0.46 million metric tons of reducing slag from EAF steelmaking plants annually [
6]. These two types of EAF slag are declared as industrial waste in Taiwan, and they can be used as engineering or raw product materials after treatment. Their reuse management should follow the guidelines of Taiwan's "Ministry of Economic Affairs Reuse Types and Management Methods of Industrial Waste".
EAF slag is a rock-like material with mechanical properties that are suitable for use as aggregates in cement concrete production [
7]. The use of EAF slags in concrete mixtures has attracted considerable attention over the near past two decades [
8,
9,
10,
11,
12]. There are many studies confirming that the reuse of EAF slag is a sustainable disposal method as a substitute for natural aggregates in infrastructure applications [
13,
14,
15]. The biggest concern about the reuse of EAF slag is its poor volume stability because it contains a large amount of free calcium oxide (f-CaO) and free magnesium oxide (f-MgO) [
16]. Furthermore, f-CaO has the characteristics of high activity, and it can easily react with water and carbon dioxide to decompose into calcium hydroxide (Ca(OH)₂) and calcium carbonate (CaCO₃) [
17]. The conversion of f-CaO to calcium hydroxide causes a volume expansion of the EAF slag. However, EAF slag tends to be stable when the f-CaO is completely reacted with and digested, or when its content is low [
18]. Accordingly, there is an opportunity for EAF slag aggregates (ERSAs) to replace general natural aggregates and to become a usable renewable resource, which can be achieved by stabilizing its dimensional stability and appearance problems.
Oxidizing slag has a high content of iron, a hard texture, and high specific gravity; in addition, it is a dark brown lump with stable physical and chemical properties [
19]. Essentially, oxidizing slag has the characteristics of wear resistance and high hardness [
8]. After proper treatment, the f-CaO content of oxidizing slag can be reduced, making it an ideal construction material [
20] (for example, as aggregates for asphalt concrete [
9,
21,
22]). Reducing slag contains less iron, more CaO and MgO, and is a gray-brown powder or block. Since reducing slag contains parts of free lime, it expands and disintegrates when exposed to water; thus, it must be matured so as to stabilize it. In addition, reducing slag is easily pulverized due to the volume changes caused by crystal phase transitions during storage. Compared with oxidizing slag, reducing slag has more materials involved in the manufacturing process, which makes its physical and chemical properties unstable, thus rendering its subsequent reuse difficult.
The attenuation or resolution of the volume expansion of EAF slag is commonly referred to as stabilization [
13]. In other words, EAF slag must be properly stabilized first to dissolve the unstable components (such as f-CaO, f-MgO, and other expansive substances) in order to make it into stable calcium hydroxide, magnesium hydroxide, and stabilized products. In this way, EAF slag aggregates will not contribute to the soundness and safety problems of concrete structure surface bursting or structural cracking. A common method of stabilizing EAF slag is to expose it to the air for a period of time [
13]. The efficiency of its stabilizing effect is affected by weather conditions, and it may take a long time to stabilize. Therefore, methods through which to accelerate the stabilization of EAF slag have been developed, including natural weathering, wind quenching, water quenching, gas quenching, afterheat self-degradation, steam aging, immediate treatment, modification, short slag flow, chemical, hot pressing, and carbonization [
23,
24,
25,
26]. Nevertheless, there are large differences in the stability, uniformity, fineness, and activity of EAF slag that is obtained by different stabilization techniques. Stabilization treatment by the natural or steam aging method requires a large area of a stockpiling field, huge funds, and time. Overall, the current stabilization methods for EAF slag are still time-consuming and cannot be completely stabilized. Only high-temperature and high-pressure steam treatment methods can quickly and effectively achieve the purpose of stabilization. However, it is undeniable that high-temperature and high-pressure steam is an energy-consuming method.
Biomineralization is a process that occurs widely in nature, and it is defined as the process by which organisms produce minerals through metabolic activities related to environmental interactions [
27,
28]. During biomineralization, living organisms produce biominerals from biopolymers [
29]. The microorganisms involved secrete one or more metabolites that react with ions or compounds in the environment, thereby contributing to the development of subsequent mineral grain changes into metabolite deposition [
30]. There are three basic types of biomineralization, namely i) biologically controlled mineralization, ii) biologically induced mineralization, and iii) biologically influenced mineralization [
31]. In the biologically controlled mineralization process, microorganisms have the ability to control the nucleation, composition, location, and morphology of biominerals [
32]. In the biologically induced mineralization process, the microorganisms are not directly involved in the precipitation of biominerals, but the precipitation occurs as a result of interactions between the metabolic by-products of the bacteria and the ions existing in the environment [
33]. In the biologically influenced mineralization process, an organic matrix and organic and/or inorganic compounds lead to the precipitation of biominerals without the necessity for the extracellular or intracellular biological activity of a living organism [
34]. Biomineralization differs significantly from geological mineralization in that the crystallization of the inorganic phase is strictly controlled by the excretion of organic matter by the organism [
35]. Therefore, biomineralization can often form well-ordered natural organic-inorganic composites with good structure. Microbial-induced calcium carbonate precipitation (MICP) is a type of biologically induced mineralization commonly found in nature [
28]. In the past two decades, MICP technology has attracted widespread attention in academia and has been applied in geotechnical engineering, hydraulic engineering, geological engineering, environmental engineering, building materials, and in other fields [
33,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45]. The most important input required for MICP is a calcium source [
36]. In view of this, in seeking solutions for solid waste management, calcium-based solid waste can be considered as a potential resource that can be made into value-added materials through MICP technology. Many researchers have used calcium-based solid waste as an alternative material for the manufacture of biomineralized materials [
46,
47,
48,
49]. The carbonation reaction of solid waste can fix CO
2, eliminate the f-CaO and f-MgO in it, and generate stable insoluble carbonate [
50,
51,
52]. Solid waste that can be used for carbonation mainly includes steel slag, carbide slag, waste concrete, cement kiln dust, waste incinerator dust, tailings produced in certain metal smelting processes, etc. [
50,
51,
52].
The reducing slag is smelted at more than 1500 °C in the steelmaking process, and it is an inorganic aggregate. The low hydration activity and poor volume stability of reducing slag limit its wide application. After proper treatment and stabilization, reducing slag can be reintroduced into the construction material cycle under the premise of volume stability so as to achieve the goal of resource recycling. Controlling or digesting f-CaO and f-MgO in reducing slag to keep the content within a controllable range with good volume stability is a prerequisite for utilizing reducing slag as a building material resource. There are currently twenty manufacturers in Taiwan's EAF steelmaking industry. The chemical composition of the produced reducing slag is mainly oxides and some f-CaO and f-MgO, with CaO and SiO
2 having the highest content, accounting for 35.3% to 54.9% and 16.57% to 34.83%, respectively. However, currently only one manufacturer has completed the stabilization equipment for reducing slag, and other EAF steelmaking manufacturers have no stabilization equipment. In view of this, this study proposes a new concept, that is, the application of biomineralization technology in the stabilization of reducing slag. It mainly uses the metabolic reaction of bacteria to quickly digest the f-CaO or f-MgO in the reducing slag to produce relatively stable calcium carbonate or magnesium carbonate salts. Treating reducing slag with biomineralization can provide an economical, simple, and fast method for stabilizing reducing slag, which can not only solve the problem of its volume stability, but can also absorb CO
2 [
53]. In this study, ERSAs were subjected to biomineralization treatment for different periods of time; furthermore, the aggregates before and after treatment were used to produce concrete, and their engineering properties and volume stability were measured.
Figure 1.
Appearance of fresh EAF reducing slag.
Figure 1.
Appearance of fresh EAF reducing slag.
Figure 2.
Bacterial solution containing Bacillus pasteurii.
Figure 2.
Bacterial solution containing Bacillus pasteurii.
Figure 3.
Appearance of the ERSAs with a diameter of 1 mm.
Figure 3.
Appearance of the ERSAs with a diameter of 1 mm.
Figure 4.
Appearance of the ERSAs with a diameter of 2 mm.
Figure 4.
Appearance of the ERSAs with a diameter of 2 mm.
Figure 5.
Appearance of the ERSAs with a diameter of 5 mm.
Figure 5.
Appearance of the ERSAs with a diameter of 5 mm.
Figure 6.
Appearance of the ERSAs with a diameter of 10 mm.
Figure 6.
Appearance of the ERSAs with a diameter of 10 mm.
Figure 7.
Test for the potential expansion of aggregates from hydration reactions: (a) aggregates that filled in the specimen module; (b) specimens immersed in the water tank.
Figure 7.
Test for the potential expansion of aggregates from hydration reactions: (a) aggregates that filled in the specimen module; (b) specimens immersed in the water tank.
Figure 8.
Heating time curve of the TGA test.
Figure 8.
Heating time curve of the TGA test.
Figure 9.
Relationship between the ERSA expansion rate and hydration time.
Figure 9.
Relationship between the ERSA expansion rate and hydration time.
Figure 10.
The f-CaO content of ERSAs with different particle sizes.
Figure 10.
The f-CaO content of ERSAs with different particle sizes.
Figure 11.
The f-MgO content of ERSAs with different particle sizes.
Figure 11.
The f-MgO content of ERSAs with different particle sizes.
Figure 12.
The TGA and DTA curves of sample AN.
Figure 12.
The TGA and DTA curves of sample AN.
Figure 13.
The TGA and DTA curves of sample AW1D.
Figure 13.
The TGA and DTA curves of sample AW1D.
Figure 14.
The TGA and DTA curves of sample AW4D.
Figure 14.
The TGA and DTA curves of sample AW4D.
Figure 15.
The TGA and DTA curves of sample AB1D.
Figure 15.
The TGA and DTA curves of sample AB1D.
Figure 16.
The TGA and DTA curves of sample AB4D.
Figure 16.
The TGA and DTA curves of sample AB4D.
Figure 17.
Comparison of the CaCO3 content in each group of samples.
Figure 17.
Comparison of the CaCO3 content in each group of samples.
Figure 18.
The XRD results of Group N.
Figure 18.
The XRD results of Group N.
Figure 19.
The XRD results of Group N.
Figure 19.
The XRD results of Group N.
Figure 20.
The XRD results of Group N.
Figure 20.
The XRD results of Group N.
Figure 21.
Trend of the compressive strength of Group N concrete at different ages.
Figure 21.
Trend of the compressive strength of Group N concrete at different ages.
Figure 22.
Trend of compressive strength of Group W concrete at different ages.
Figure 22.
Trend of compressive strength of Group W concrete at different ages.
Figure 23.
Trend of compressive strength of Group B concrete at different ages.
Figure 23.
Trend of compressive strength of Group B concrete at different ages.
Figure 24.
Long-term observation results of the surface of each group of concrete cube specimens.
Figure 24.
Long-term observation results of the surface of each group of concrete cube specimens.
Table 1.
Test variables and sample designation.
Table 1.
Test variables and sample designation.
Test Variable |
Variable Range and Sample Designation |
Particle size |
1-10 mm |
1 mm |
2 mm |
5 mm |
10 mm |
A |
1 |
2 |
5 |
10 |
Stabilization method |
Exposed to the air |
Immersed in water |
Immersed in a B. Pasteurii bacteria solution |
N |
W |
B |
Immersion age |
1 day |
2 days |
3 days |
4 days |
1D |
2D |
3D |
4D |
Table 2.
Mixture proportions of the concrete.
Table 2.
Mixture proportions of the concrete.
Mix Designation |
Cement (kg/m3) |
Water (kg/m3) |
Coarse Aggregate (kg/m3) |
Fine Aggregate (kg/m3) |
Superplasticizer (kg/m3) |
Note |
MN |
508 |
197 |
865 |
721 |
10 |
Untreated raw ERSA |
MB |
508 |
197 |
865 |
721 |
10 |
ERSA treated by immersion in a solution of B. pasteurii bacteria |
MW |
508 |
197 |
865 |
721 |
10 |
ERSA treated by immersion in a water tank |
Table 3.
Results of the potential expansion of ERSAs under hydration.
Table 3.
Results of the potential expansion of ERSAs under hydration.
Sample Designation |
Expansion Rate in the First 7 Days after Immersion in Water (%) |
Specification Value (< 0.5%) |
0-day |
1-day |
2-day |
3-day |
4-day |
5-day |
6-day |
7-day |
AB-1D |
0 |
0.05 |
0.11 |
0.15 |
0.19 |
0.23 |
0.27 |
0.31 |
< 0.5 |
AB-2D |
0 |
0.05 |
0.07 |
0.12 |
0.16 |
0.2 |
0.24 |
0.28 |
< 0.5 |
AB-3D |
0 |
0.08 |
0.12 |
0.16 |
0.20 |
0.23 |
0.27 |
0.29 |
< 0.5 |
AB-4D |
0 |
0.07 |
0.12 |
0.17 |
0.21 |
0.27 |
0.33 |
0.36 |
< 0.5 |
AN |
0 |
0.06 |
0.13 |
0.21 |
0.28 |
0.37 |
0.45 |
0.53 |
> 0.5 |
Table 4.
Titration test results of the f-CaO content in ERSAs.
Table 4.
Titration test results of the f-CaO content in ERSAs.
Sample Designation |
f-CaO Content (%) |
1 mm |
2 mm |
5 mm |
10 mm |
N |
3.95 |
3.73 |
3.48 |
3.36 |
B-1D |
3.50 |
3.11 |
2.86 |
2.91 |
B-2D |
3.25 |
3.15 |
2.58 |
2.68 |
B-3D |
3.28 |
3.09 |
2.66 |
2.49 |
B-4D |
2.97 |
2.87 |
2.56 |
2.46 |
W-1D |
3.86 |
3.66 |
2.84 |
2.91 |
W-2D |
3.74 |
3.69 |
2.86 |
2.87 |
W-3D |
3.81 |
3.75 |
2.82 |
3.00 |
W-4D |
3.74 |
3.65 |
2.82 |
3.08 |
Table 5.
Titration test results of the f-CaO content in ERSAs.
Table 5.
Titration test results of the f-CaO content in ERSAs.
Sample Designation |
f-MgO Content (%) |
1 mm |
2 mm |
5 mm |
10 mm |
N |
7.20 |
7.06 |
7.08 |
5.83 |
B-1D |
6.45 |
5.56 |
5.55 |
4.51 |
B-2D |
6.34 |
5.43 |
6.08 |
5.46 |
B-3D |
5.43 |
5.44 |
4.50 |
5.32 |
B-4D |
5.68 |
5.46 |
4.48 |
5.36 |
W-1D |
7.05 |
6.55 |
5.21 |
4.95 |
W-2D |
6.97 |
6.02 |
5.81 |
4.17 |
W-3D |
5.93 |
4.39 |
5.59 |
4.19 |
W-4D |
5.46 |
4.28 |
5.25 |
4.36 |
Table 6.
Results of the pH value test of the ERSAs.
Table 6.
Results of the pH value test of the ERSAs.
Sample Designation |
pH Value |
1 mm |
2 mm |
5 mm |
10 mm |
N |
12.47 |
12.47 |
12.47 |
12.47 |
B-1D |
12.19 |
11.85 |
11.34 |
10.97 |
B-2D |
11.97 |
11.13 |
11.18 |
11.17 |
B-3D |
11.43 |
11.20 |
11.28 |
11.19 |
B-4D |
11.32 |
10.68 |
10.65 |
11.47 |
W-1D |
12.17 |
12.28 |
11.95 |
11.92 |
W-2D |
11.85 |
11.89 |
11.65 |
11.80 |
W-3D |
11.86 |
11.68 |
11.62 |
11.90 |
W-4D |
11.94 |
11.62 |
11.61 |
11.81 |
Table 7.
The CaCO3 content in each group of samples.
Table 7.
The CaCO3 content in each group of samples.
Sample Designation |
Weight Percentage (%) |
CaCO3 Content (%) |
650 °C |
800 °C |
AN |
92.94 |
91.78 |
1.16 |
AB1D |
92.81 |
91.34 |
1.47 |
AB2D |
92.85 |
91.43 |
1.42 |
AB3D |
93.2 |
91.64 |
1.56 |
AB4D |
93.23 |
91.78 |
1.45 |
AW1D |
93.53 |
92.53 |
1.00 |
AW2D |
92.74 |
91.57 |
1.17 |
AW3D |
93.22 |
92.14 |
1.08 |
AW4D |
93.48 |
92.45 |
1.03 |
Table 8.
The XRD analysis results of each group of samples.
Table 8.
The XRD analysis results of each group of samples.
Compound |
Molecular Formula |
Percentage of Ingredients (%) |
Group N |
Group W |
Group B |
Calcio olivine |
CaSiO4
|
30.12 |
28.16 |
21.48 |
Spinel |
MgAl2O |
0 |
12.58 |
9.76 |
Gehlenite |
Ca2Al[AlSi2O7] |
8.44 |
8.63 |
11.16 |
Merwinite |
Ca3Mg(SiO4)2
|
29.89 |
22.61 |
27.93 |
Katoite |
Ca3Al2(SiO4)3-X(OH)4X
|
5.13 |
3.63 |
2.65 |
Brucite |
Mg(OH)2
|
4.99 |
5.02 |
5.21 |
Portlandite |
Ca(OH)2
|
2.40 |
1.56 |
2.47 |
Cuspidine |
Ca4(Si2O7)(OH)2
|
11.10 |
1.65 |
1.37 |
Periclase |
MgO |
4.46 |
4.44 |
2.60 |
Gypsum |
CaSO4‧2H2O |
0 |
1.38 |
1.29 |
Fluorite |
CaF2
|
0.13 |
0.15 |
0.02 |
Grossular |
Ca3Al2(SiO4)0.69(OH)9.24
|
3.34 |
5.43 |
5.51 |
Quartz |
SiO2
|
0 |
0 |
0 |
Calcite |
CaCO3
|
0 |
4.76 |
8.53 |