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Article

Radiological Assessment of Building Materials Containing Processed Bauxite

by
Uku Andreas Reigo
,
Cansu Özcan Kılcan
and
Alan H. Tkaczyk
*
Institute of Technology, University of Tartu, Nooruse 1, 50411 Tartu, Estonia
*
Author to whom correspondence should be addressed.
J. Nucl. Eng. 2025, 6(2), 16; https://doi.org/10.3390/jne6020016
Submission received: 31 December 2024 / Revised: 24 March 2025 / Accepted: 8 May 2025 / Published: 17 May 2025

Abstract

:
Supplementary cementitious materials (SCMs) may be prepared using industrial byproduct streams, aiding in the development of a more environmentally sustainable circular economy. However, these byproducts may carry a risk of exhibiting elevated levels of radioactivity because of the preceding processing that may have concentrated the radionuclides naturally occurring in the raw material. This processing causes the byproducts to be considered technologically enhanced naturally occurring radioactive material (NORM). Thus, the safe use of such SCMs requires robust data on the activity concentrations of three main radionuclides (226Ra, 232Th, 40K) represented by the activity concentration index (ACI) used as a radiological suitability indicator. In this work, candidate SCMs derived from the alumina industry byproduct processed bauxite (PB), also referred to as bauxite residue, were assessed by measuring the activity of all available samples, including input raw materials and intermediate substances, through gamma spectrometry. PB was found to significantly impact the final ACI value of the building material. As a key analysis outcome applicable to the substances assessed in this work, no additional dose assessment is required, given the low ACI value of the building materials. This result indicates that, from a radiological perspective, the PB samples studied are suitable precursors for SCMs. In addition, a generalized approach was found to provide good estimations of the ACI value of building materials, which is useful to screen materials for regulatory compliance, without needing to prepare samples of the materials in question.

1. Introduction

The use of secondary raw materials in industry through economic circularization is a key approach to limit resource depletion and waste generation. New ways to utilize by-product streams instead of virgin resources are necessary to mitigate the effects of economic growth on the environment [1]. In the last decade, significant advancements have been made in developing a circular approach to utilize processed bauxite (PB), a byproduct from alumina production, as a substitute for clinker in cement [2,3,4]. This is of significant economic and environmental relevance due to the high impact of the cement industry: the sector accounted for around 8% of the total anthropogenic carbon dioxide emissions and is responsible for 7% of the global industrial energy use [5,6].
All naturally occurring substances exhibit some degree of radioactivity originating from naturally occurring radioactive materials (NORMs). Treatments such as the Bayer process for converting bauxite to alumina can concentrate natural radionuclides in specific product streams, such as the undissolved portion of bauxite (i.e., PB). As such, it is critical to monitor the level of radioactivity in products made from secondary raw materials of concern. Our work focuses on investigating the radiological risk posed by building materials developed from processed bauxite (in co-calcined, vitrified, or smelted form; collectively, modified PB). The product chain is investigated in detail to determine the main sources of radioactivity.
An accurate assessment of radiological risks is important for informed decision-making. The health risk associated with exposure to NORM is most directly affected by the activity of the source, the proximity of the person to the source, and the duration of exposure. Accordingly, we focused on the gamma radiation exposure from construction products containing modified processed bauxite in residential buildings. The International Atomic Energy Agency (IAEA) has developed the Activity Concentration Index (ACI) as a screening value to determine whether a given material needs further dose assessment to declare it safe for use in construction from a radiological perspective. The ACI is related to the external gamma radiation dose limit of 1 mSv y−1, estimated in a model room with specified dimensions. The ACI value was used as a criterion for suitability in the present work [7].
This study aims to demonstrate and validate a generalized mixing-based approach to the calculation of the ACI value of a building material. To achieve this, data on the activity concentrations of various radionuclides in mortars and their upstream input materials were determined as a specific case. The goal of this case-specific investigation was to assess whether these building materials based on modified PB are suitable for use in the construction of residential buildings. Additionally, the factors affecting the final ACI value of the mortars were discussed.

2. Materials and Methods

Processed bauxite (PB) is a byproduct of the Bayer process for alumina production from bauxite. In this work, bauxite and PB samples were collected and analyzed from 7 leading alumina refineries cooperating in the Horizon 2020 ReActiv project.
PB undergoes additional treatment to enhance its suitability as a supplementary cementitious material (SCM), primarily by increasing its cementitious activity through thermal processes [8]. Three distinct processing technologies—co-calcination, vitrification, and smelting—were developed in related work from the ReActiv project. These technologies were assessed here for their impact on PB radioactivity. For all technologies, all of the available raw materials, additives, and products (intermediate and final), including differing sources of PB, were sampled and measured through gamma spectrometry.
All samples examined from operational alumina plants were below the 1 Bq/g per radionuclide limit, classifying them as exempt waste (non-radioactive) [9,10].
All three processing technologies involve thermal processing, indicating that mass is lost to gases that evolve during the treatment. As a result, the mass of non-radioactive components (water, carbon dioxide, etc.) decreases, and accordingly, the activity concentration of a thermally treated substance has the potential to be higher than the weighted average of the constituent input materials in ways that are unavoidably difficult to predict.
In all cases, the SCM obtained from the modification of PB was mixed in the ratio of 30 wt.% modified PB, 68 wt.% ordinary Portland cement (OPC), and 2 wt.% gypsum to create a cement blend that could subsequently be used to prepare mortars according to the EN-196 standard [11]. The main cement-containing construction products are concrete and mortar. The latter was selected for radiological risk assessment due to its higher cement content and corresponding radionuclide activity concentration.

2.1. Processed Bauxite (PB)

PB is a byproduct from alumina production, sometimes called “red mud” or “bauxite residue”. For this work, bauxite and PB samples were obtained from seven refineries worldwide, one of which is no longer operating. These have been anonymized, with a capital letter from A–G referencing the same refinery throughout the present work.
For all PB sources, up to three raw bauxite sources and their respective mixing ratios during PB production were identified. These were consolidated into a single average raw bauxite for each refinery during data analysis as the inclusion-rate-weighted average of the different sources.
These results are presented in Table 1 and elaborated upon in the subsequent sections.

2.2. Co-Calcination

The process of heating the PB along with kaolinitic clay is known as co-calcination and has been explained thoroughly in the literature [12]. The PB inclusion rate in the mix to produce co-calcined PB (CB) was 70 wt.% or 50 wt.%, with the samples with 50 wt.% PB having more attractive properties. The process temperature was 750 °C.
CB SCMs were prepared with the PB from refineries A, B, C, and G, cement blends from refineries C and E, and mortars from refineries C and G.

2.3. Vitrification

PB can be transformed into a glassy material through vitrification, with a detailed description of the process available in the work of Giels et al. [13], resulting in vitrified PB (VB). The PB inclusion rate in the SCM prepared through vitrification was approximately 65–85 wt.%, varying between PB sources. The process temperature was 1200–1300 °C.
VB SCMs were prepared with the PB from refineries A, C, D, E, and G, and mortars from refineries A, C, D, and F.

2.4. Smelting

The smelting of PB with ilmenite and aluminum powder can be exploited to create smelted PB (SB), a material similar to ground granulated blast furnace slag or calcium aluminate cement, depending on the reaction conditions. This approach has been investigated, and the samples have been provided by Sparis et al. [14]. The inclusion rate of PB in the preparation of an SCM through smelting was 50–70 wt.%. The process temperature is difficult to estimate precisely due to the exothermic reactions that occur during the processing, which increase the temperature of the reagents even further. For calculations, a temperature of 1650 °C was assumed in the work cited above.
SB SCMs were prepared with the PB from refinery E.

2.5. Gamma Spectroscopy

All samples were received in a powdered form and dried at 40 °C for 48 h. Samples were mixed, sieved through a 2 mm mesh, and stored in radon-tight containers for at least 30 days before measurement. The subsample mass of the dry specimens was generally between 100 and 200 g.
Measurements were conducted using Canberra-Packard spectrometers, with acquisition times ranging from 24 to 72 h. The acquired spectra were analyzed using the Gamma 2k software version 3.4, supported by nuclear data from the literature to provide decay energies and emission probabilities [15,16,17,18].
For the analysis, the following gamma-ray spectral lines, shown in Figure 1, were used:
  • 226Ra was determined directly (186 keV) and indirectly via short-lived radon progeny 214Bi (609, 1120, 1765 keV) and 214Pb (295, 352 keV) gamma lines.
  • 232Th was determined via 212Pb (239 keV) and 208Tl (583 keV) gamma lines, including the correction related to branching of the decay chain.
  • 40K was determined directly (1461 keV gamma line).
For plural gamma lines, weighted averages were calculated using the gamma emission probability. The uncertainty of the activity concentration and the detection limit, expressed as MDC (minimal detectable concentration), were determined for each sample.
The unitless activity concentration index (ACI) was calculated using the equation from the European Commission’s Directive on basic safety standards (Equation (1)), referencing a dose criterion of 1 mSv a−1 [19]:
I = C R a 226 300 + C T h 232 200 + C k 40 3000 ,
where C k denotes the activity concentration of the radionuclide k in Bq/kg. ACI values are used to assess whether a material requires further dose evaluation before its application in construction. The threshold values and corresponding decisions are illustrated in Figure 2.
The approach to calculating the error bars in the figures is as follows. ACI uncertainty was calculated based on the inaccuracies in the sample mass m , detection efficiency ε , gamma emission probability γ , live acquisition time T L , and net event count N as shown in Equation (2). Here, C represents the measured activity concentration. Across most samples, the relative uncertainty of the ACI was below 10%, only exceeding this value for very low-radioactivity samples with an ACI value near 0.1, such as sand. In modeling, all mixing ratios were taken to be exact.
Δ C = N / T L m ε γ Δ N N 2 + Δ T L T L 2 + Δ m m 2 + Δ ε ε 2 + Δ γ γ 2 .
Building materials are deemed most suitable when no further dose assessments are required for their intended application. Therefore, the ACI of the mortar will serve as the primary metric when assessing its radiological risk and potential for use.

3. Results

Despite the differing processing implementations in the various refineries, the degree to which the activity concentration of the investigated radionuclides was concentrated was relatively similar, as can be seen in Figure 3. This correlation indicates that bauxite is the main source of radioactivity in the processed bauxite, rather than any refinery-specific parameters.
For simplified data presentation, the ACI value was also used in relation to the constituent parts of a building material. Notably, bauxite, PB, and modified PB exhibit ACI values for theoretical building products composed entirely (100 wt.%) of these materials. In practice, it would not be feasible to use these materials in pure form in final products. Here, ACI serves as an indicative weighted sum for intermediate products, comparing activity concentrations to interpret the intrinsic properties of materials involving PB. Conversely, ACI values of mortars, as potential end products, reflect exposure risk.
With the assumption of no mass loss during a mixing process, the activity concentration of each radionuclide in the mixture is the weighted sum of the activity concentrations of the mixed substances. This can be expressed mathematically as seen in Equation (3).
I m i x = k w k I k ,
where w k is the weight fraction of the constituent k in the mixture and I k is its ACI. Notably, the process of the preparation of mortar from the co-calcined, smelted, or vitrified PB (collectively, modified PB) along with cement, gypsum, sand, and water can be suitably thought of as a sequence of such mixing processes. With the only varying parameter being the activity concentration of the modified PB, an estimation of the activity concentration can be made according to the mixing weight fractions and activity concentrations measured in this work (Figure 4). The mixing fractions are taken to be exact.
The calculated mixing-based estimation behaves well compared to the available data for the prepared mortars and the used modified PB (Figure 5). Notably, the mixing-based model overestimates the data for higher PB activities. This conservative behavior is desirable from a radiological safety perspective. The data presented in Figure 5, along with the ACI values of the associated input materials, are shown in Table 2 to clarify the variation of ACI values along the product chain.
Based on these results, all experimentally prepared mortars would be fit for use as a building material from the perspective of gamma radiation. This is expected to apply for any combination of the three processing technologies and alumina refineries, as the PB from refinery G had the highest ACI of the investigated samples, and vitrification had the highest PB inclusion rate of the three technologies. This ensures that the worst-case combination has been assessed and accounted for. All mortars lie on or above the line representing the mixing model, indicating that the model is a satisfactory estimator.
It must be noted that estimating mortar activity requires only two inputs: mixing ratios and activity concentrations (ACI values) of constituents such as sand, anhydrite, ordinary Portland cement, and the SCM of choice. This means that the process can easily be adapted to different scenarios, for example, varying the source of sand used or the SCM under investigation. The assumption of no mass loss during mixing must be kept in mind.
The relationship shown in Figure 6 further reinforces the observation that the main contributor to the activity concentration and ACI of the final building material is the ACI of the PB used (and, by extension, that of the initial bauxite). This stems from higher PB ACI values clearly correlating with higher ACI values in the modified PB. A secondary factor is the processing technology used. Variations in PB inclusion rates result in co-calcination having a lower ACI value, even though its additive—kaolinite—has a slightly higher ACI value compared to additives in other technologies.
A detailed breakdown of the upstream source of the ACI of mortar products was conducted for three indicative examples, as shown in Figure 7. Smelting received less detailed investigation as no experimental mortar was prepared. This analysis involved estimating each constituent’s contribution to the final ACI of mortar, based on their mixing ratios and ACI values.
The main contributors are modified PB, due to its higher ACI value, and sand, due to its substantial mass fraction in the final mortar. The difference in the magnitude of the contribution from additives when comparing co-calcined and vitrified mortars stems from the nature of the additives: the kaolinite used for co-calcination has an ACI value of 0.51 and a comparatively higher inclusion rate, while the additives for vitrification have an ACI value of 0.1 or less.

4. Discussion

Based on the results of the radiological measurements conducted in the present work, all of the treatment technologies and bauxite sources within the scope of the research are suitable for creating supplementary cementitious materials that can be used to create building materials with ACI < 1. The findings suggest that these building materials can be used in construction without additional gamma radiation dose assessment, provided modified PB constitutes up to 30 wt.% of the blended cements.
Given that mortar contains a higher cement content than concrete and other cementitious materials, this result can be viewed as conservative. If mortar using modified PB is radiologically safe, concrete made with the same modified PB is likely to be even safer. Although case-by-case assessment is necessary to assess radiological safety in detail, the presented method could serve as a valuable screening tool for radiological assessment.
Analysis of the PB product chain identified modified PB as the primary contributor to radionuclide concentrations in final building materials, with its ACI closely linked to that of the original bauxite. The most important secondary contributor was the sand used as an aggregate. These findings offer valuable insights into the impact of geographic variation in raw material sourcing.
A mixing-based calculation based solely on the mixing ratios and ACI values of the constituents of the building material was shown to provide results that agree very well with experimentally measured values. This generality indicates that the same approach could be used in other cases as well, for example, when investigating other SCMs, other sources of aggregate, or a different building material (e.g., concrete) entirely. Avoiding the preparation of final building materials makes this approach ideal for cases with limited data availability.
It must be noted that building materials can also emanate radon and simultaneously influence the degree to which radon migrates from the soil to ground- or basement-level floors of a building. Recent European Radon Action Plans (RAPs) present differing viewpoints on the link between ACI and radon risk. In the RAP of Belgium, it is recognized that a material with ACI ≤ 1 has minimal radon risk, while in Estonia, the RAP states that additional research is needed to verify this aspect [20,21].
Consequently, the applicability of the ACI to radon risk is uncertain at this time, as seen in recent Radon Action Plans. Further research to elucidate the possibility of using the same or similar index value to judge radon risk would be invaluable for a more complete view of radiation risk due to building materials. Nevertheless, as in Belgium’s RAP, it may be expected that building materials do not directly contribute much to the indoor radon concentration—implying that only gamma radiation should be accounted for when assessing the radiological risk due to building materials. This is supported by there not being any legal provisions limiting the direct contribution by building materials to the indoor radon concentration [22].
The PB samples used in the ReActiv project were selected to be representative of the material normally generated from each alumina refinery. Most alumina refineries use a consistent bauxite feed, and it is therefore expected that the concentrations of radioactive species in the PB will not significantly vary. Consequently, based on the uncertainty assessment and industrial experience, the results for the modified PBs are expected to fall within the error bars reported in the results. Future studies could seek a more quantitative assessment of variability in the activity concentrations of the different components, based on samples from the same alumina refinery, taken across multiple months or varying conditions.
Our work confirms the acceptability from a gamma radiation perspective of using processed bauxite in an SCM, paving the way for its broader adoption and supporting a circular economy through efficient by-product utilization. The modern approaches to the activation of PB for enhanced use as an SCM were compared, with co-calcination demonstrating a slightly lower ACI value of the modified PB compared to the other technologies’ modified versions of the same PB. This is believed to be a consequence of the smaller inclusion rate of PB in the co-calcination mix.
Such a method is well-suited for advisory purposes as well as in product development in order to foresee and/or estimate potential radiological issues before manufacturing the final product. This approach supports a safe and informed transition to broader adoption of environmentally friendly SCMs. Such a shift reduces reliance on virgin resources, minimizing waste and emission generation.

Author Contributions

Methodology, U.A.R., C.Ö.K. and A.H.T.; Investigation, U.A.R.; Resources, A.H.T.; Data curation, U.A.R. and C.Ö.K.; Writing—original draft preparation, U.A.R.; Writing—review and editing, U.A.R., C.Ö.K. and A.H.T.; Supervision, A.H.T.; Funding acquisition, A.H.T. All authors have read and agreed to the published version of the manuscript.

Funding

The research leading to these results has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No. 958208 (ReActiv).

Data Availability Statement

Further inquiries should be directed to the corresponding author.

Acknowledgments

We thank Ken Evans for fruitful discussions contributing to the development of this work.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Bianchi, M.; Cordella, M. Does circular economy mitigate the extraction of natural resources? Empirical evidence based on analysis of 28 European economies over the past decade. Ecol. Econ. 2023, 203, 107607. [Google Scholar] [CrossRef]
  2. Kar, M.K.; Önal, M.A.R.; Borra, C.R. Alumina recovery from bauxite residue: A concise review. Resour. Conserv. Recycl. 2023, 198, 107158. [Google Scholar] [CrossRef]
  3. Pontikes, Y.; Angelopoulos, G.N. Bauxite residue in cement and cementitious applications: Current status and a possible way forward. Resour. Conserv. Recycl. 2013, 73, 53–63. [Google Scholar] [CrossRef]
  4. Sourmelis, S.; Pontikes, Y.; Myers, R.J.; Tennant, M. Business models for symbiosis between the alumina and cement industries. Resour. Conserv. Recycl. 2024, 205, 107560. [Google Scholar] [CrossRef]
  5. Habert, G.; Miller, S.A.; John, V.M.; Provis, J.L.; Favier, A.; Horvath, A.; Scrivener, K.L. Environmental impacts and decarbonization strategies in the cement and concrete industries. Nat. Rev. Earth Environ. 2020, 1, 559–573. [Google Scholar] [CrossRef]
  6. Technology Roadmap-Low-Carbon Transition in the Cement Industry–Analysis, IEA. Available online: https://www.iea.org/reports/technology-roadmap-low-carbon-transition-in-the-cement-industry (accessed on 25 November 2024).
  7. IAEA. Protection of the public against exposure indoors due to radon and other natural sources of radiation. In IAEA Safety Standards Series Specific Safety Guide, No. SSG-13; International Atomic Energy Agency: Vienna, Austria, 2015. [Google Scholar]
  8. Liu, X.; Zhang, N.; Sun, H.; Zhang, J.; Li, L. Structural investigation relating to the cementitious activity of bauxite residue—Red mud. Cem. Concr. Res. 2011, 41, 847–853. [Google Scholar] [CrossRef]
  9. IAEA. Classification of Radioactive Waste. In General Safety Guides, No. GSG-1; International Atomic Energy Agency: Vienna, Austria, 2009; Available online: https://www.iaea.org/publications/8154/classification-of-radioactive-waste (accessed on 10 December 2024).
  10. IAEA. Application of the Concepts of Exclusion, Exemption and Clearance. In General Safety Guides, No. RS-G-1.7; International Atomic Energy Agency: Vienna, Austria, 2004; Available online: https://www.iaea.org/publications/7118/application-of-the-concepts-of-exclusion-exemption-and-clearance (accessed on 10 December 2024).
  11. EN 196-1:2016-Methods of Testing Cement-Part 1: Determination of Strength, iTeh Standards. Available online: https://standards.iteh.ai/catalog/standards/cen/37b8816e-4085-4dcc-a642-a383d9bddd6c/en-196-1-2016 (accessed on 25 November 2024).
  12. Peys, A.; Preveniou, A.; Konlechner, D.; Rubio, G.; Georgiades, M.; Myers, R.J.; Martins, N.P.; Balomenos, E.; Davris, P.; Snellings, R.; et al. Co-calcination to produce a synergistic blend of bauxite residue and low-grade kaolinitic clay for use as a supplementary cementitious material. CEMENT 2024, 18, 100122. [Google Scholar] [CrossRef]
  13. Giels, M.; Hertel, T.; Gijbels, K.; Schroeyers, W.; Pontikes, Y. High performance mortars from vitrified bauxite residue; the quest for the optimal chemistry and processing conditions. Cem. Concr. Res. 2022, 155, 106739. [Google Scholar] [CrossRef]
  14. Sparis, D.; Lazou, A.; Balomenos, E.; Panias, D. Thermodynamics of Aluminothermic Processes for Ferrotitanium Alloy Production from Bauxite Residue and Ilmenite. Metals 2024, 14, 200. [Google Scholar] [CrossRef]
  15. Bé, M.-M.; Chisté, V.; Dulieu, C.; Browne, E.; Chechev, V.; Kuzmenko, N.; Helmer, R.; Nichols, A.; Schönfeld, E.; Dersch, R. Table of Radionuclides 2. In Monographie BIPM-5 2. Pavillon de Breteuil, F-92310 Sèvres; Bureau International des Poids et Mesures: Paris, France, 2004; Available online: http://www.bipm.org/utils/common/pdf/monographieRI/Monographie_BIPM-5_Tables_Vol2.pdf (accessed on 10 December 2024).
  16. Bé, M.-M.; Chisté, V.; Dulieu, C.; Browne, E.; Chechev, V.; Kuzmenko, N.; Kondev, F.; Luca, A.; Galán, M.; Pearce, A.; et al. Table of Radionuclides 4. In Monographie BIPM-5 4. Pavillon de Breteuil, F-92310 Sèvres; Bureau International des Poids et Mesures: Paris, France, 2008; Available online: http://www.bipm.org/utils/common/pdf/monographieRI/Monographie_BIPM-5_Tables_Vol4.pdf (accessed on 10 December 2024).
  17. Bé, M.-M.; Chisté, V.; Dulieu, C.; Mougeot, X.; Browne, E.; Chechev, V.; Kuzmenko, N.; Kondev, F.; Luca, A.; Galán, M.; et al. Table of Radionuclides 5. In Monographie BIPM-5 5. Pavillon de Breteuil, F-92310 Sèvres; Bureau International des Poids et Mesures: Paris, France, 2010; Available online: http://www.bipm.org/utils/common/pdf/monographieRI/Monographie_BIPM-5_Tables_Vol5.pdf (accessed on 10 December 2024).
  18. Bé, M.-M.; Chisté, V.; Dulieu, C.; Mougeot, X.; Browne, E.; Chechev, V.; Kuzmenko, N.; Kondev, F.; Luca, A.; Galán, M.; et al. Table of Radionuclides 7. In Monographie BIPM-5 7. Pavillon de Breteuil, F-92310 Sèvres; Bureau International des Poids et Mesures: Paris, France, 2013; Available online: http://www.bipm.org/utils/common/pdf/monographieRI/Monographie_BIPM-5_Tables_Vol7.pdf (accessed on 10 December 2024).
  19. European Commission. Directorate-General for Environment, Radiological Protection Principles Concerning the Natural Radioactivity of Building Materials; Publications Office: Luxembourg, 2000. [Google Scholar]
  20. Federal Agency for Nuclear Control, Belgian National Radon Action Plan. 2021. Available online: https://fank.fgov.be/de/system/files/2021-09-22-belgian-national-radon-action-plan-2020-2025-en-v2.pdf (accessed on 27 February 2025).
  21. Republic of Estonia Ministry of Climate, National Radon Action Plan. 2019. Available online: https://kliimaministeerium.ee/en/climate-green-reform/radiation (accessed on 26 February 2025).
  22. German Federal Office for Radiation Protection, Radon in building materials, Federal Office for Radiation Protection. 2024. Available online: https://www.bfs.de/EN/topics/ion/environment/radon/occurrence/building-materials.html (accessed on 27 February 2025).
Figure 1. Gamma radiation spectrum of PB from refinery B as a typical example to illustrate the method used. The horizontal axis shows the gamma radiation energy in keV, and the vertical axis shows the number of counts on a logarithmic scale. The peaks used for analysis are highlighted. Net counts were measured using Gamma 2k.
Figure 1. Gamma radiation spectrum of PB from refinery B as a typical example to illustrate the method used. The horizontal axis shows the gamma radiation energy in keV, and the vertical axis shows the number of counts on a logarithmic scale. The peaks used for analysis are highlighted. Net counts were measured using Gamma 2k.
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Figure 2. Use of the activity concentration index. No restrictions are applied if ACI ≤ 1, which makes this criterion the target for widespread use. For superficial use, the threshold value is an ACI of 6. Modified from [7].
Figure 2. Use of the activity concentration index. No restrictions are applied if ACI ≤ 1, which makes this criterion the target for widespread use. For superficial use, the threshold value is an ACI of 6. Modified from [7].
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Figure 3. The relationship between the activity concentration index (ACI) of processed bauxite (PB) and average bauxite used in each refinery. As the ACI of bauxite increases, the ACI of PB increases. A cluster of samples can be observed with the ACI of the PB being near 2, while singular samples are found to have significantly lower and higher ACI values for both bauxite and PB—respectively, A and G.
Figure 3. The relationship between the activity concentration index (ACI) of processed bauxite (PB) and average bauxite used in each refinery. As the ACI of bauxite increases, the ACI of PB increases. A cluster of samples can be observed with the ACI of the PB being near 2, while singular samples are found to have significantly lower and higher ACI values for both bauxite and PB—respectively, A and G.
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Figure 4. A material flow schematic describing the process of mixing mortar from the constituents. Known ACI values for the ordinary Portland cement, anhydrite, and sand are shown, while the ACI values of the used modified PB and mortar with PB are variables. If the ACI value of the modified PB is known, an estimation based on successive weighted averages can be made for the ACI value of the mortar.
Figure 4. A material flow schematic describing the process of mixing mortar from the constituents. Known ACI values for the ordinary Portland cement, anhydrite, and sand are shown, while the ACI values of the used modified PB and mortar with PB are variables. If the ACI value of the modified PB is known, an estimation based on successive weighted averages can be made for the ACI value of the mortar.
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Figure 5. Comparison of weight fraction-based modeled mortar ACI with experimental data. CB: co-calcined PB, and VB: vitrified PB. The red dashed line represents the ACI limit above which dose assessment is required. The percentage in co-calcined PB references the inclusion rate of PB in the calcination mix. A good match between the model and experimental data is seen for 5 mortar samples, while VB based on PB from refinery G had a lower ACI value than predicted. This conservative behavior at more extreme ACI values is acceptable.
Figure 5. Comparison of weight fraction-based modeled mortar ACI with experimental data. CB: co-calcined PB, and VB: vitrified PB. The red dashed line represents the ACI limit above which dose assessment is required. The percentage in co-calcined PB references the inclusion rate of PB in the calcination mix. A good match between the model and experimental data is seen for 5 mortar samples, while VB based on PB from refinery G had a lower ACI value than predicted. This conservative behavior at more extreme ACI values is acceptable.
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Figure 6. Variations between technologies when creating modified PB from the same BR source. The technologies generally show similar ACI values of modified PB made from the same PB, with a slight trend of technologies with the higher inclusion rate of PB in the process mix showing higher ACI values, as expected. This difference is especially pronounced when the ACI value of the PB is significantly higher than the other constituents, as can be seen in the co-calcined and vitrified samples prepared from the PB from refinery G.
Figure 6. Variations between technologies when creating modified PB from the same BR source. The technologies generally show similar ACI values of modified PB made from the same PB, with a slight trend of technologies with the higher inclusion rate of PB in the process mix showing higher ACI values, as expected. This difference is especially pronounced when the ACI value of the PB is significantly higher than the other constituents, as can be seen in the co-calcined and vitrified samples prepared from the PB from refinery G.
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Figure 7. Contributions to the activity concentration index of three distinct mortars: CB 50% G—a mortar from the co-calcined PB of refinery G, with a 50 wt.% PB inclusion rate; VB 50% C—as above with refinery C as the PB source and VB C—a mortar prepared from the vitrified PB of refinery C, with an 85.5 wt.% inclusion rate. In all cases, PB is the primary contributor, followed by sand. Small differences in the contributions from sand and CEM I arise from deviations from ideal mixing behavior, while the difference in the contributions from the additives stems from the comparatively higher ACI value of kaolinite compared to the additives used in vitrification.
Figure 7. Contributions to the activity concentration index of three distinct mortars: CB 50% G—a mortar from the co-calcined PB of refinery G, with a 50 wt.% PB inclusion rate; VB 50% C—as above with refinery C as the PB source and VB C—a mortar prepared from the vitrified PB of refinery C, with an 85.5 wt.% inclusion rate. In all cases, PB is the primary contributor, followed by sand. Small differences in the contributions from sand and CEM I arise from deviations from ideal mixing behavior, while the difference in the contributions from the additives stems from the comparatively higher ACI value of kaolinite compared to the additives used in vitrification.
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Table 1. Sample availability from differing PB sources and processing technologies. X marks combinations that are present.
Table 1. Sample availability from differing PB sources and processing technologies. X marks combinations that are present.
Refinery
MaterialABCDEFG
BauxiteXXXXXXX
Processed bauxite (PB)XXXXXXX
Co-calcined PB (CB)XXX X
Cement blend based on CB X X
Mortar based on CB X X
Vitrified PB (VB)X XXX X
Mortar based on VBX XX X
Smelted PB (SB) X
Table 2. ACI values of the raw bauxite, PB, VB, VB mortar, CB, and CB mortar sourced from refineries A, C, D, and G. The ACI serves as an indicative weighted sum for intermediate products, and only the ACI values applying to mortars are indicative of gamma exposure risk.
Table 2. ACI values of the raw bauxite, PB, VB, VB mortar, CB, and CB mortar sourced from refineries A, C, D, and G. The ACI serves as an indicative weighted sum for intermediate products, and only the ACI values applying to mortars are indicative of gamma exposure risk.
ACI Values
SourceBauxitePBVBVB MortarCBCB Mortar
A0.09 ± 0.010.22 ± 0.020.23 ± 0.010.12 ± 0.01
C0.77 ± 0.052.2 ± 0.12.3 ± 0.10.25 ± 0.021.8 ± 0.10.25 ± 0.02
D0.82 ± 0.062.4 ± 0.12.2 ± 0.10.25 ± 0.01
G4.1 ± 0.18.6 ± 0.59.8 ± 0.40.68 ± 0.065.8 ± 0.30.54 ± 0.03
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MDPI and ACS Style

Reigo, U.A.; Özcan Kılcan, C.; Tkaczyk, A.H. Radiological Assessment of Building Materials Containing Processed Bauxite. J. Nucl. Eng. 2025, 6, 16. https://doi.org/10.3390/jne6020016

AMA Style

Reigo UA, Özcan Kılcan C, Tkaczyk AH. Radiological Assessment of Building Materials Containing Processed Bauxite. Journal of Nuclear Engineering. 2025; 6(2):16. https://doi.org/10.3390/jne6020016

Chicago/Turabian Style

Reigo, Uku Andreas, Cansu Özcan Kılcan, and Alan H. Tkaczyk. 2025. "Radiological Assessment of Building Materials Containing Processed Bauxite" Journal of Nuclear Engineering 6, no. 2: 16. https://doi.org/10.3390/jne6020016

APA Style

Reigo, U. A., Özcan Kılcan, C., & Tkaczyk, A. H. (2025). Radiological Assessment of Building Materials Containing Processed Bauxite. Journal of Nuclear Engineering, 6(2), 16. https://doi.org/10.3390/jne6020016

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