# Mine Waste-Based Next Generation Bricks: A Case Study of Iron Ore Tailings, Red Mudand GGBS Utilization in Bricks

Authors: M. Beulah; M. R. Sudhir; Mothi Krishna Mohan; G. Gayathri; Deekshith Jain
Journal: Advances in Materials Science and Engineering
 (2021)

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## Abstract

Utilization of mine wastes as a building material in the construction industry surmises to environmental and sustainable concepts in civil engineering.The potential environmental threat posed by mining wastes, as well as a growing societal awareness of the need to effectively treat mining wastes, has elevated the subject importance.The present research proposes a method of producing bricks that is both cost effective and environmentally benign. The research is based on the geopolymerization, known to save energy by obviating high-temperature kiln firing and lowering greenhouse gas emissions. The methodology encompasses the mixing of red mud and iron ore tailings in the range of 90% to 50% with a decrement of 10% with GGBS in the range of 10% to 50% with an increment of 10%. The raw materials and the developed composites have been tested as per Indian and ASTM standards.In addition to tests pertaining to the physical and mechanical properties, XRF, XRD, and SEM tests have been performed for examining various related issues. Based on the result analysis, the compressive strength values showed noticeable differences in case of IOT and red mud bricks with IOT-based bricks showing better compressive strengths.


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## Body

## 1. Introduction

Industrialization and urbanization have resulted in the generation of substantial quantities of industrial wastes, which has the potential to significantly contaminate the environment. The tremendous usage of clay for conventional bricks has led to its depletion. The difficulty in disposing of these primarily created wastes is a major source of concern. To safeguard the natural resources, it would be preferable to use these industrial wastes to make a sustainable building material based on green technology [1]. The characterization and the treatment of residue is a part of mining waste management. Previous literature has proven the viability of utilizing materials such as “fly ash and GGBS,” as well as mining material as long-term infrastructure materials [2]. Brick manufacture by blending industrial wastes such as fly ash, GGBS, and slag sand with 8M and 10M geopolymer binder were used to produce high-strength bricks of 25.30 Mpa [3]. IOT has also proven to have potential as aggregates in concrete [4–6]. Studies have reported the method of geopolymerization to make iron ore tailings bricks to attain a compressive strength of 50 MPa by curing at 80°C [7]. The traditional method of making red mud-GGBS bricks by firing has attained a compressive strength of 7.56 MPa [8]. The study has proven the potential use of red mud manufacturing brick as substitute up to 25% to clay [9]. Studies have proved that lightweight foamed bricks can be made from red mud, and these bricks can be envisaged in urban development activities as partition walls in multistoried buildings which lowers the total weight of the wall, the foundation, and the construction cost [10]. The study has proven that the red mud-fly ash-based geopolymer coating to concrete blocks has increased the strength, durability, and thermal stability of blocks with the increment in morality of 6M and 12M [11]. United States Patent 3886244 highlights a method of making burnt bricks in which 50–90% red mud is of mixed clay and water fixing agent [12]. At CBRI, efforts have also been undertaken to integrate a small proportion of lime in red mud and compress the mix in the form of a brick at ideal moisture content in order to test their strength and stability to the erosive action of water [13]. The possible use of red mud in the building industry as artificial structural elements, such as enormous bricks, was investigated using geopolymerization procedure to synthesis the inorganic polymer materials [14]. Jamaica Bauxite Institute and the University of Toronto have conducted the studies to make red mud bricks for low-cost housing [15]. The ideal percentage of red mud used to replace cement in concrete is 10% which has not shown significant adverse influence on the strength of concrete [16]. The studies have proven the combination of red mud, fly ash, and lime for fired and unfired bricks to be an ideal brick material [17, 18]. Red mud has also proven to be a suitable material for high-grade base material, filling material, and for embankment [19–22]. Many researchers have found the red mud to be a potential pozzolanic material [23–25]. The study of the blend of IOT and red mud has proven that the bricks produced are high-strength bricks as evidenced by the research [26].


### 1.1. Significance of the Research

The brick masonry is considered to be one of the ancient building techniques. The extreme usage of brick as a construction material has led to various detrimental effects on the ecological systems in the form of groundwater pollution, soil erosion, etc. In order to contain this, there is an overwhelming need for adopting the industrial waste products.India is the one of the world’s biggest iron ore and aluminum producers.These mining industries produce large amounts of wastes which cause landfills. Industries are facing a major challenge to address these mining waste disposals, as it has contaminated both the soil and the ground water. Figures1 and 2 show the mining sectors of iron ore and aluminum in India, which produces nearly 18 million tons of iron ore tailings and more than four million tons of red mud. These waste materials have been promising as value-added building materials and will significantly contribute to the global efforts in reducing natural clay depletion.Figure 1
Location of red mud mines.Figure 2
Location of iron ore tailing mines.The present study showcases the potential of using iron ore tailings and red mud with GGBS by geopolymerization for the production of eco-friendly bricks which can serve as structural and nonstructural elements.


## 1.1. Significance of the Research

The brick masonry is considered to be one of the ancient building techniques. The extreme usage of brick as a construction material has led to various detrimental effects on the ecological systems in the form of groundwater pollution, soil erosion, etc. In order to contain this, there is an overwhelming need for adopting the industrial waste products.India is the one of the world’s biggest iron ore and aluminum producers.These mining industries produce large amounts of wastes which cause landfills. Industries are facing a major challenge to address these mining waste disposals, as it has contaminated both the soil and the ground water. Figures1 and 2 show the mining sectors of iron ore and aluminum in India, which produces nearly 18 million tons of iron ore tailings and more than four million tons of red mud. These waste materials have been promising as value-added building materials and will significantly contribute to the global efforts in reducing natural clay depletion.Figure 1
Location of red mud mines.Figure 2
Location of iron ore tailing mines.The present study showcases the potential of using iron ore tailings and red mud with GGBS by geopolymerization for the production of eco-friendly bricks which can serve as structural and nonstructural elements.


## 2. Materials and Methodology

### 2.1. Materials

#### 2.1.1. Iron Ore Tailings and Red mud

The mine wastes used in the study for preparation of the bricks were iron ore tailings from BNSIspat Bellary, red mud from Hindalco, GGBS, and geopolymer chemicals. Minimal material processing was carried out on these materials used for the manufacturing of bricks.Red mud is a bauxite ore with a mean particle size of 36.94 microns, a 50 percent particle size of 21.65 microns, and surface area of 0.58 m2/gm. Similarly, IOT has a mean particle size of 22.84 microns and 50 percent particle size of 17.88 microns, with a surface area of 0.59 m2/gm. Figures 3 and 4 represent the particle size distribution of red mud and IOT.Figure 3
Particle size distribution of red Mud.Figure 4
Particle size distribution of iron ore tailings.


#### 2.1.2. Geopolymer

Geopolymers are inorganic, typically ceramic, aluminosilicates forming long range, and covalently bonded noncrystalline networks. Geopolymerisation is a process of transforming aluminosilicate raw material into covalently bonded 3D network [-Si-O-Al-O-] n-bonds. Here, the synthesis of chemically integrated minerals takes place. In the present study, the geopolymerization formed by sodium hydroxide and sodium silicate involving 8M (molarity) of NaOH has been considered.From Table1, it was observed that the primary components of red mud and IOT were SiO2, Fe2O3, and Al2O3. The two main components of GGBS were CaO, TiO2, and SiO2. The variations of these principal components SiO2, Al2O3, and Fe2O3in IOT, red mud, and GGBS were in the range of 9.01% to 37.73%, 9.56% to 25.05%, and 1.11% to 45.66%.Table 1
Chemical composition IOT, red mud, and GGBS.
MaterialsSiO2 (%)Al2O3 (%)Fe2O3 (%)TiO2 (%)CaO (%)MgO (%)Na2O (%)K2O (%)Loi (%)IOT9.029.5645.661.021.962.120.930.258.59Red mud22.6325.0523.037.011.261.726.830.2212.21GGBS37.7314.421.1137.348.710.020.310.291.41The physical properties of red mud and IOT are shown in Table2. In accordance with ASTM C33, D854, and D4318 standards, the fineness modulus, specific gravity, and consistency limits were determined. ASTM D698 was used to determine the optimum moisture content and maximum dry density of the red mud and IOT.Table 2
Physical properties of IOT and red mud.
PropertiesRed mudIron ore tailingsPlastic limit27%16.56%Liquid limit46%26.1%Plasticity index199.54Maximum dry density1.48 kg/cubic meter2.14 kg/cubic meterOptimum moisture content14.95%9.8%Specific gravity2.82.34


## 2.1. Materials

### 2.1.1. Iron Ore Tailings and Red mud

The mine wastes used in the study for preparation of the bricks were iron ore tailings from BNSIspat Bellary, red mud from Hindalco, GGBS, and geopolymer chemicals. Minimal material processing was carried out on these materials used for the manufacturing of bricks.Red mud is a bauxite ore with a mean particle size of 36.94 microns, a 50 percent particle size of 21.65 microns, and surface area of 0.58 m2/gm. Similarly, IOT has a mean particle size of 22.84 microns and 50 percent particle size of 17.88 microns, with a surface area of 0.59 m2/gm. Figures 3 and 4 represent the particle size distribution of red mud and IOT.Figure 3
Particle size distribution of red Mud.Figure 4
Particle size distribution of iron ore tailings.


### 2.1.2. Geopolymer

Geopolymers are inorganic, typically ceramic, aluminosilicates forming long range, and covalently bonded noncrystalline networks. Geopolymerisation is a process of transforming aluminosilicate raw material into covalently bonded 3D network [-Si-O-Al-O-] n-bonds. Here, the synthesis of chemically integrated minerals takes place. In the present study, the geopolymerization formed by sodium hydroxide and sodium silicate involving 8M (molarity) of NaOH has been considered.From Table1, it was observed that the primary components of red mud and IOT were SiO2, Fe2O3, and Al2O3. The two main components of GGBS were CaO, TiO2, and SiO2. The variations of these principal components SiO2, Al2O3, and Fe2O3in IOT, red mud, and GGBS were in the range of 9.01% to 37.73%, 9.56% to 25.05%, and 1.11% to 45.66%.Table 1
Chemical composition IOT, red mud, and GGBS.
MaterialsSiO2 (%)Al2O3 (%)Fe2O3 (%)TiO2 (%)CaO (%)MgO (%)Na2O (%)K2O (%)Loi (%)IOT9.029.5645.661.021.962.120.930.258.59Red mud22.6325.0523.037.011.261.726.830.2212.21GGBS37.7314.421.1137.348.710.020.310.291.41The physical properties of red mud and IOT are shown in Table2. In accordance with ASTM C33, D854, and D4318 standards, the fineness modulus, specific gravity, and consistency limits were determined. ASTM D698 was used to determine the optimum moisture content and maximum dry density of the red mud and IOT.Table 2
Physical properties of IOT and red mud.
PropertiesRed mudIron ore tailingsPlastic limit27%16.56%Liquid limit46%26.1%Plasticity index199.54Maximum dry density1.48 kg/cubic meter2.14 kg/cubic meterOptimum moisture content14.95%9.8%Specific gravity2.82.34


## 2.1.1. Iron Ore Tailings and Red mud

The mine wastes used in the study for preparation of the bricks were iron ore tailings from BNSIspat Bellary, red mud from Hindalco, GGBS, and geopolymer chemicals. Minimal material processing was carried out on these materials used for the manufacturing of bricks.Red mud is a bauxite ore with a mean particle size of 36.94 microns, a 50 percent particle size of 21.65 microns, and surface area of 0.58 m2/gm. Similarly, IOT has a mean particle size of 22.84 microns and 50 percent particle size of 17.88 microns, with a surface area of 0.59 m2/gm. Figures 3 and 4 represent the particle size distribution of red mud and IOT.Figure 3
Particle size distribution of red Mud.Figure 4
Particle size distribution of iron ore tailings.


## 2.1.2. Geopolymer

Geopolymers are inorganic, typically ceramic, aluminosilicates forming long range, and covalently bonded noncrystalline networks. Geopolymerisation is a process of transforming aluminosilicate raw material into covalently bonded 3D network [-Si-O-Al-O-] n-bonds. Here, the synthesis of chemically integrated minerals takes place. In the present study, the geopolymerization formed by sodium hydroxide and sodium silicate involving 8M (molarity) of NaOH has been considered.From Table1, it was observed that the primary components of red mud and IOT were SiO2, Fe2O3, and Al2O3. The two main components of GGBS were CaO, TiO2, and SiO2. The variations of these principal components SiO2, Al2O3, and Fe2O3in IOT, red mud, and GGBS were in the range of 9.01% to 37.73%, 9.56% to 25.05%, and 1.11% to 45.66%.Table 1
Chemical composition IOT, red mud, and GGBS.
MaterialsSiO2 (%)Al2O3 (%)Fe2O3 (%)TiO2 (%)CaO (%)MgO (%)Na2O (%)K2O (%)Loi (%)IOT9.029.5645.661.021.962.120.930.258.59Red mud22.6325.0523.037.011.261.726.830.2212.21GGBS37.7314.421.1137.348.710.020.310.291.41The physical properties of red mud and IOT are shown in Table2. In accordance with ASTM C33, D854, and D4318 standards, the fineness modulus, specific gravity, and consistency limits were determined. ASTM D698 was used to determine the optimum moisture content and maximum dry density of the red mud and IOT.Table 2
Physical properties of IOT and red mud.
PropertiesRed mudIron ore tailingsPlastic limit27%16.56%Liquid limit46%26.1%Plasticity index199.54Maximum dry density1.48 kg/cubic meter2.14 kg/cubic meterOptimum moisture content14.95%9.8%Specific gravity2.82.34


## 3. Brick Making with Red Mud and Iron Ore Tailings

The mix proportion details are mentioned in Tables3 and 4. In the present study, the stabilised blocks were made by manually operated block making machine “Mardini” designed by ASTRA/Department of Civil Engineering, Indian Institute of Science, Bangalore. 230 × 110 × 100 mm standard mould size was used for making of bricks.Table 3
Details of the mix proportions of red mud bricks.
Brick designationRed mud (%)GGBS (%)Mix 1R9010Mix 2R8020Mix 3R7030Mix 4R6040Mix 5R5050Table 4
Details of the mix proportions of iron ore tailings bricks.
Brick designationIron ore tailings (%)GGBS (%)Mix 1I9010Mix 2I8020Mix 3I7030Mix 4I6040Mix 5I5050Table5 presents the details of the test specifications of IS and ASTM standards for testing the bricks.Table 5
Details of the test specification
: Test methodStandardsCompressive strengthIS 1077–1992Water absorptionIS 3495 (part 2):1992Apparent porosityASTM C20Apparent specific gravityASTM C20Bulk densityASTM C20


## 4. Results and Discussion

Figures5 and 6 show the SEM micrographs of iron ore tailings and red mud (RM), and the micrographs show irregular particles of high degree of agglomeration. Figure 7 illustrates a nonuniform distribution of irregular particles in GGBS. Figure 8 illustrates the XRD pattern of the RM with the combination of Na5Al3CSi3O15 (Na), calcium carbonate (Ca(CO3)), muscovite (M), hematite (H), and aluminum hydroxide (Al(OH3)). Figure 9 shows the XRD pattern of the IOT and the presence of minerals such as quartz (Q), kaolinite (K), calcite (C), and hematite (H). Figure 10 shows the XRD pattern of GGBS signifying as amorphous material.Figure 5
SEM micrograph of IOT.Figure 6
SEM micrograph of RM.Figure 7
SEM micrograph of GGBS.Figure 8
XRD pattern of RM.Figure 9
XRD pattern of IOT.Figure 10
XRD pattern of GGBS.Table6 depicts the apparent specific porosity, apparent specific gravity, bulk density, water absorption, and compressive strength of bricks.Table 6
Apparent porosity, apparent specific gravity, bulk density, water absorption, and compressive strength
CompositionApparent porosity (%)Apparent specific gravityBulk density (g/cm3)Water absorption (%)Compressive strength (N/mm2) (7 Days)Compressive strength (N/mm2) (28 Days)Mix-1I14.61.481.263.7811.2517.27Mix-2I17.251.381.114.5317.4327.01Mix-3I18.21.31.084.9821.2628.23Mix-4I20.321.251.035.8115.123.54Mix-5I25.41.20.977.5812.3320.87Mix-1R14.281.411.028.965.928.3Mix-2R21.251.330.939.258.311.06Mix-3R24.171.240.889.8612.2516.67Mix-4R33.331.130.7810.251014.22Mix-5R36.41.060.6410.412.6412.64The porosity of iron ore tailings geopolymer bricks ranged from 14.6% to 25.4% and for red mud geopolymer bricks ranged from 14.28% to 36.4% (Figure11). This has not shown the significant influence on the compressive strength. The density of brick has not been significantly influenced by the varying percentages of iron ore tailings and red mud.Figure 11
Apparent porosity of bricks.The compressive strength was higher for IOT geopolymer bricks in comparison to the compressive strength of RM geopolymer bricks. The compressive strength of IOT geopolymer bricks ranged from 17.27 N/mm2 to 28.23 N/mm2. Mix-3I with 70% of IOT has exhibited the highest strength, as shown in Figure 12. From Figure 12, it was observed that the compressive strength of RM geopolymer bricks range from 8.3 N/mm2to 16.67 N/mm2. Mix-3R with 70% of red mud has attained the highest compressive strength with an increment of 50.2%. Both IOT and RM geopolymer bricks have been confirmed as high-quality bricks.Figure 13 presents that the water absorption for all the mix compositions is less than 20% and the values are as per IS code recommendations. The efflorescence results of all the compositions fulfill the standards of IS: 3495-Part [3]. From Figure 14, it is evident that there is no significant variation of specific gravity for varying percentages of iron ore tailings and red mud.Figure 12
Compressive strength of bricks.Figure 13
Water absorption of bricks.Figure 14
Apparent specific gravity and Bulk density.


### 4.1. SEM Analysis

Figures15–18 present the morphology of the mixes 1I, 3I, 1R, and 3R. Heterogeneous nature of the final compounds has been unambiguously proved from the micrographs. All the systems contain some amount of shapeless independent particles with high degree of aggregation. Aggregation may be a result of processing conditions, which has some influence on the strength and stability of the systems. Along with the highly aggregated surface structure, some inconspicuous numbers of rod, such as morphologies, were observed in the micrographs of the compounds 3R and 1R. X-ray fluorescence associated with SEM analysis was used to understand the composition of the systems qualitatively.Figure 15
SEM image of Mix-1I.Figure 16
SEM image of Mix-3I.Figure 17
SEM image of Mix-1R.Figure 18
SEM image of Mix-3R.


### 4.2. X-Ray Diffraction Results

Figures19–22 present the XRD analysis of the mixes 1I, 3I, 1R, and 3R.The X-ray diffraction patterns of the compounds 1I and 3Iare almost the same. However, some extrapeaks were observed in mix-1I compared to Mix-3I, due to higher concentration of IOT in mix-1I. The high concentration of IOT might have facilitated the exposure of hematite crystal planes for diffraction and also the comparatively high concentration of GGBS in Mix-3I would have suppressed the crystal planes from diffraction process.The patterns revealed the existence of crystalline compounds as the major constituents of the final systems. Silica, alumina, and hematite were the major compounds observed with minor quantities of Titania, calcium oxide, and magnesium oxide. Well-resolved peaks with low full width at half maximum (FWHM) confirmed the presence of crystallites or grains with large size, which is well in agreement with the SEM analysis. Small crystallites may have combined together under the processing conditions and could have facilitated the high degree of aggregation or the formation of grains/crystallites with large size. Some compounds were not observed either due to the less exposure of crystal planes due to the complexity of the system or due to the amorphous nature. The peak observed at 2θ = 7° was assigned to the alumina content of the zeolite [27]. The sharp and intense peaks at 2θ values around 17.4°, 34°, 39.5°, 48°, and 75° were attributed to the miller planes corresponding to mullite [28]. A less intense peat 28° was indexed to the (110) reflections of rutile TiO2 [29]. Peaks around 33° and 36° were allocated to the crystal planes of hematite [30]. Dominant peak observed at 2θ = 29.1° was indexed to the crystal plane of calcite [31]. Highly intense peaks at 27°, 43°, 50°, 55°, and 60° were attributed to the crystal plane reflections of quartz [27, 28, 32]. Generally, a broad peak in the range of 2θ = 20° to 40° with large full width at half maximum indicates the amorphous nature of GGBS [32]. The peak of GGBS was not observed, which might be due to the overlapping of the peak with other peaks in the range. Some extra peaks at 2θ = 57°, 62.1°, 64.3°, and 73.8° were observed in mix-1I compared to Mix-3I. The peak at 2θ around 57ºwas assigned to the crystal plane of quartz, and the peaks at 2θ around 62.1°, 64.3°, and 73.8° were allocated to the miller planes of hematite. The high concentration of IOT in mix-1I exposed more crystal planes of hematite for diffraction but the mentioned crystal planes were not exposed in Mix-3I due to less concentration.Figure 19
XRD image of Mix-1I.Figure 20
XRD image of Mix-3I.Figure 21
XRD image of Mix-3R.Figure 22
XRD image of Mix-1R.The XRD patterns of the compounds 1R and 3R are more or less the same.Some extrapeaks were observed in Mix-1R compared to the Mix-3R. Here also, the concentration of the constituents played an important role in diffraction process. Mix-1R contained more concentration of red mud compared to Mix-3R. Therefore, the former exhibited some additional peaks due to the diffraction from some additional crystal planes. The high concentration of GGBS in Mix-3R is considered as a constraint for the effective diffraction process. Here also, silica, alumina, and hematite were found to be the major compounds with less quantities of titania, calcium oxide, and magnesium oxide. All the compounds observed in the patterns of 1R and 1I were also observed in the case of 3R and 3I with some variations of intensities and‘d’ spacing. Due to the high concentration of iron content, the peaks at 2θ = 33° and 36° were found to be more dominant in 3R and 3I in comparison to the former compounds [30]. Also, the dominant peaks at 2θ values around 62°, 64.2°, and 76.1° in mix-1R were assigned to the crystal planes of hematite. Some crystal planes of hematite were not observed in mix-3R either due to the less concentration of red mud or the shielding effect of GGBS which results in less exposure of crystal planes for diffraction. A well-resolved peak around 84° in Mix-1R was attributed to the crystal plane of quartz. The structural compositions of the compounds were evaluated thoroughly by XRD analysis. The results obtained were well in agreement with the XRF results.


## 4.1. SEM Analysis

Figures15–18 present the morphology of the mixes 1I, 3I, 1R, and 3R. Heterogeneous nature of the final compounds has been unambiguously proved from the micrographs. All the systems contain some amount of shapeless independent particles with high degree of aggregation. Aggregation may be a result of processing conditions, which has some influence on the strength and stability of the systems. Along with the highly aggregated surface structure, some inconspicuous numbers of rod, such as morphologies, were observed in the micrographs of the compounds 3R and 1R. X-ray fluorescence associated with SEM analysis was used to understand the composition of the systems qualitatively.Figure 15
SEM image of Mix-1I.Figure 16
SEM image of Mix-3I.Figure 17
SEM image of Mix-1R.Figure 18
SEM image of Mix-3R.


## 4.2. X-Ray Diffraction Results

Figures19–22 present the XRD analysis of the mixes 1I, 3I, 1R, and 3R.The X-ray diffraction patterns of the compounds 1I and 3Iare almost the same. However, some extrapeaks were observed in mix-1I compared to Mix-3I, due to higher concentration of IOT in mix-1I. The high concentration of IOT might have facilitated the exposure of hematite crystal planes for diffraction and also the comparatively high concentration of GGBS in Mix-3I would have suppressed the crystal planes from diffraction process.The patterns revealed the existence of crystalline compounds as the major constituents of the final systems. Silica, alumina, and hematite were the major compounds observed with minor quantities of Titania, calcium oxide, and magnesium oxide. Well-resolved peaks with low full width at half maximum (FWHM) confirmed the presence of crystallites or grains with large size, which is well in agreement with the SEM analysis. Small crystallites may have combined together under the processing conditions and could have facilitated the high degree of aggregation or the formation of grains/crystallites with large size. Some compounds were not observed either due to the less exposure of crystal planes due to the complexity of the system or due to the amorphous nature. The peak observed at 2θ = 7° was assigned to the alumina content of the zeolite [27]. The sharp and intense peaks at 2θ values around 17.4°, 34°, 39.5°, 48°, and 75° were attributed to the miller planes corresponding to mullite [28]. A less intense peat 28° was indexed to the (110) reflections of rutile TiO2 [29]. Peaks around 33° and 36° were allocated to the crystal planes of hematite [30]. Dominant peak observed at 2θ = 29.1° was indexed to the crystal plane of calcite [31]. Highly intense peaks at 27°, 43°, 50°, 55°, and 60° were attributed to the crystal plane reflections of quartz [27, 28, 32]. Generally, a broad peak in the range of 2θ = 20° to 40° with large full width at half maximum indicates the amorphous nature of GGBS [32]. The peak of GGBS was not observed, which might be due to the overlapping of the peak with other peaks in the range. Some extra peaks at 2θ = 57°, 62.1°, 64.3°, and 73.8° were observed in mix-1I compared to Mix-3I. The peak at 2θ around 57ºwas assigned to the crystal plane of quartz, and the peaks at 2θ around 62.1°, 64.3°, and 73.8° were allocated to the miller planes of hematite. The high concentration of IOT in mix-1I exposed more crystal planes of hematite for diffraction but the mentioned crystal planes were not exposed in Mix-3I due to less concentration.Figure 19
XRD image of Mix-1I.Figure 20
XRD image of Mix-3I.Figure 21
XRD image of Mix-3R.Figure 22
XRD image of Mix-1R.The XRD patterns of the compounds 1R and 3R are more or less the same.Some extrapeaks were observed in Mix-1R compared to the Mix-3R. Here also, the concentration of the constituents played an important role in diffraction process. Mix-1R contained more concentration of red mud compared to Mix-3R. Therefore, the former exhibited some additional peaks due to the diffraction from some additional crystal planes. The high concentration of GGBS in Mix-3R is considered as a constraint for the effective diffraction process. Here also, silica, alumina, and hematite were found to be the major compounds with less quantities of titania, calcium oxide, and magnesium oxide. All the compounds observed in the patterns of 1R and 1I were also observed in the case of 3R and 3I with some variations of intensities and‘d’ spacing. Due to the high concentration of iron content, the peaks at 2θ = 33° and 36° were found to be more dominant in 3R and 3I in comparison to the former compounds [30]. Also, the dominant peaks at 2θ values around 62°, 64.2°, and 76.1° in mix-1R were assigned to the crystal planes of hematite. Some crystal planes of hematite were not observed in mix-3R either due to the less concentration of red mud or the shielding effect of GGBS which results in less exposure of crystal planes for diffraction. A well-resolved peak around 84° in Mix-1R was attributed to the crystal plane of quartz. The structural compositions of the compounds were evaluated thoroughly by XRD analysis. The results obtained were well in agreement with the XRF results.


## 5. Conclusions

The current study focused on the manufacturing of bricks made primarily of iron ore tailings and red mud. The following are the findings of the study:(1)
The compressive strength values showed noticeable differences in case of IOT and red mud bricks with IOT-based bricks showing better comprehensive strengths. It can be inferred that Mix-3I of IOT showed the highest value of compression strength 28.23 N/mm2, a class ‘A’ brick.(2)
The compressive strength of brick increased with the increase in the curing period. Red mud and IOT bricks have attained desired compressive strength as per IS recommendations.(3)
The optimum mix of red mud bricks is 3R (70% RM+30%GGBS) and of IOT bricks is 3I (70%IOT+30%GGBS).(4)
The soundness, hardness, efflorescence, and impact test results for all the compositions are within the Indian standard recommendations.(5)
The manufacture of bricks without using Kiln firing is a way to reduce the emission of CO2 gas. The results of the current study showed that the production of eco-friendly bricks by effective utilization of waste materials such as IOT, GGBS, and red mud with geopolymerization, is a proactive sustainability approach.



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