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Article

Concrete Carbonation of Deep Burial Storage Constructions under Model Aging Conditions

by
Vyacheslav Medvedev
,
Andrey Pustovgar
,
Aleksey Adamtsevich
and
Liubov Adamtsevich
*
Scientific Research Institute of Construction Materials and Technologies, National Research Moscow State University of Civil Engineering, 26, Yaroslavskoye Shosse, 129337 Moscow, Russia
*
Author to whom correspondence should be addressed.
Buildings 2024, 14(1), 8; https://doi.org/10.3390/buildings14010008
Submission received: 23 November 2023 / Revised: 11 December 2023 / Accepted: 14 December 2023 / Published: 19 December 2023
(This article belongs to the Special Issue Safety and Optimization of Building Structures)

Abstract

:
To ensure the safe operation of concrete structures of deep-burial storages, it is necessary to research the degradation mechanisms of such structures. Concrete carbonation is one of the key factors determining the service life of concrete structures. Existing methods for the concrete carbonation process research at various stages of the building structure life cycle make it possible to conduct model tests in the shortest possible time by simulating the operational factors influencing the corrosion process development. The authors carried out model tests of concrete of deep-burial storages using the method of accelerated concrete carbonation and by taking into account the effects of elevated temperatures. When exposed to elevated temperatures during carbonation, concrete samples exhibit a decrease in compressive strength in the first 56 days of testing by an average of 1.6 MPa. However, by the end of the tests (168 days), the strength of concrete samples at elevated temperatures is on average 4 MPa higher. The microstructure and carbonation dynamics were studied by XRD, TGA and SEM. The data obtained in the research can be used to develop models for predicting the service life of concrete structures of deep-burial storages.

1. Introduction

According to IAEA documents [1,2], one of the priority research areas in the field of used nuclear fuel storage facilities construction is research into the reinforced concrete structure degradation effects and mechanisms in order to ensure their safe operation [3,4,5,6]. Understanding the mechanisms of concrete degradation in relation to such buildings is inextricably connected to the research into the operating conditions of these structures and external influences leading to accelerated aging of concrete and reinforcing steel [1]. Examples of such factors, called “stressors”, include the effects of alkalis, acids, sulfates and salts; penetration of liquids and corrosive gases into the thickness of concrete; long-term static or cyclic vibration and shock loads on structures; cyclic or static exposure to high and low temperatures; radiation impacts; electrochemical reactions, etc.
The current research considered concrete structures of underground deep-burial storage facilities, since the influence of specific operational factors on the degradation process of such structures is more notable.
Among the stressors affecting such structures (in addition to direct radiation exposure), several groups that initiate the corresponding aging mechanisms can be distinguished (Table 1).
As can be seen from the table above, the impact of stressors leading to concrete degradation is usually associated with a combination of various internal and external influences. Therefore, it should be taken into account at the design stage of deep-burial storage facilities in order to ensure the resistance of concrete structures to intensive degradation during the design life of the building [1,2,4,6,7,8]. The cumulative influence of factors leading to concrete degradation is determined by the properties of the initial components of the concrete mixture, the environmental conditions of the construction area, the proximity of sources of aggressive media, etc. In addition, there is the problem of CO2 sequestration, which has a significant impact on changes in the microstructure of concrete during operation [9,10,11,12].
In relation to deep-burial storage facilities, there are also a number of additional factors influencing the carbonation process. For example, exposure to groundwater, alkali-silica reactions, exposure to elevated temperatures and exposure to radiation. Each of these factors is a complex problem for ensuring the durability of concrete structures [4].
At the same time, it should be noted that most of the factors listed above that cause degradation of concrete and/or reinforced concrete structures have now been quite well researched, since almost all of them are relevant for any objects built using concrete for industrial and civil needs [4,7,8,9,10,11,12,13,14,15,16,17]. The only notable exception in this case is related to the research into concrete aging under conditions of radiation exposure and elevated temperatures.
The durability of concrete depends on the resistance to external influences of its cement matrix and aggregates, which may have different resistance to certain influences. The rate of concrete degradation is associated with the processes of gas and moisture migration through pores, microcracks and interfaces between the phases of hardened cement paste and aggregates inside the concrete mass. This factor increases the importance of the concrete protective layer (as well as insulating materials) quality, in the process of ensuring the durability of concrete structures [1,2,3,7,15].
The main mechanisms of concrete aging are determined by the influence of one or more factors, which are usually divided into two groups of physical and chemical influences [1,3,4].
Physical impacts lead to cracking or destruction of the concrete protective layer caused by the external influences. Cracking and destruction of structures under the influence of loads due to design errors or violations of the design scheme during the construction process are not related to aging mechanisms and therefore are not taken into account in the group of physical influences mentioned above [1,4]. However, they also lead to a violation of the integrity of the monolithic structure of the concrete and contribute to the acceleration of aging of the structure under the influence of external factors.
Chemical influences affect the properties of reinforced concrete structures through chemical reactions with hardened cement paste, aggregate or reinforcement. Chemical interaction usually occurs within the boundaries of a structure’s open surface areas, but can also occur in deeper layers in the presence of cracks or as a result of prolonged interaction with an aggressive environment [1,4]. At the same time, concrete is quite rarely exposed to chemical reagents in solid form, so concrete degradation processes due to chemical influences usually occur when critical concentrations of chemicals in liquid solutions interacting with concrete are exceeded. In this case, the degree of impact depends on the activity of the substance, the ambient temperature, the type of cement used, the water–cement ratio of the concrete mixture, the degree of compaction of the concrete mixture and the permeability of concrete and other factors [4,15,16,17,18,19,20,21,22,23].
Concrete carbonation, which belongs to the group of chemical influences, is one of the key factors determining the service life of concrete structures [1,2,4,5,23,24,25,26,27,28,29]. Today, there is a lot of research in the field of studying corrosion processes (carbonation in particular) occurring in concrete under normal operating conditions [4,17,25,26,27,28,29,30,31,32,33,34,35,36].
Existing methods for concrete carbonation process research at various stages of the building structure’s life cycle make it possible to carry out model tests of concrete in the shortest possible time by simulating the main operational factors influencing the development of corrosion processes [28,34,37,38,39]. However, specific impacts characteristic of the operation of structures of deep-burial storage facilities (in particular, elevated temperatures and radiation exposure) are rarely taken into account in such research [4,7,8].
The authors produced model tests of deep-burial storage facilities’ concrete using the method of accelerated carbonation and by taking into account the effects of elevated temperatures to study changes in the concrete carbonation process dynamics under various operating conditions. The issue of service life prediction of concrete structures of deep-burial storage facilities based on the results of model tests was also considered.

2. Materials and Methods

2.1. Materials Used

The following materials were selected for the research:
  • Portland cement “CEM I” according to [40] (hardening time: beginning 165 min, end 220 min; compressive strength at the age of 2 days, 24.3 MPa; normal density of cement paste, 27.5%, Blaine fineness, 2640 cm2/g. The mineralogical and chemical compositions of the cement used in the research is presented in Table 2 and Table 3 accordingly;
  • Sand (class 1 according to [41], fineness modulus, 2.76; bulk density, 1.6 g/cm3);
  • Crushed stone (bulk density, 1410 kg/m3, strength grade, M1400, frost resistance, F300);
  • Microsilica according to [42]. The mineralogical composition of the microsilica used in the research is presented in Table 4;
  • Plasticizing additive based on naphthalene formaldehyde;
  • Air-entraining additive based on synthetic surfactants.

2.2. Manufacturing of Test Samples

For the research, Portland cement-based heavy concrete of grade B30 (in accordance with [43]) was used. The concrete composition was selected in accordance with those currently used for the manufacture of deep-burial storage facilities (Table 5).
Concrete samples of the following sizes were made, modulus multiples of half a standard cube with an edge of 100 mm (Figure 1):
  • Sample type (1A): plate 100 × 100 × 50 mm.
  • Sample type (2A): cube 100 × 100 × 100 mm.
Type (1A) samples were used to research the carbonation depth and the content of carbonation products in concrete; type (2A) samples were used to determine the compressive strength of concrete. Diagrams of samples of various standard sizes are presented in Figure 2.
The samples were manufactured in calibrated molds in accordance with [44]. The concrete mixture was compacted manually and evenly using a bayonet and then smoothed with a plate.
For the first 24 h after molding, the samples were stored in a chamber with an air temperature of (20 ± 5) °C in molds covered with material that prevented moisture evaporation.
At the end of the primary hardening, the samples were demolded and placed in a climate chamber with constant relative air humidity ((95 ± 5)%) and temperature ((20 ± 2) °C). The samples were placed in a chamber with a gap of at least 5 mm between each other and the chamber walls. Direct contact of samples with water was excluded.
Water- and heat-resistant markings were applied to all concrete samples immediately after their production.
The samples were stored until 28 days from the moment of molding (control samples).

2.3. Model Aging of Concrete

Before testing, all samples (with the exception of control samples) were subjected to model aging in various modes. The aging modes simulating the temperature effect and the influence of the air condition in the operation zone of reinforced concrete structures of deep-burial storage facilities were selected based on the influence of various temperature and humidity conditions and an increased concentration of carbon dioxide, designed to intensify the carbonation process of concrete (Table 6).
Mode I is a commonly used mode of accelerated model aging of concrete for assessing the carbonation development in laboratory conditions [13,24,28].
Mode II is intended to assess the contribution of changes in the risks of concrete carbonation relative to the accelerated mode during the operation of structures under conditions of elevated temperatures, characteristic of the reinforced concrete structures of deep-burial storage facilities under conditions of temperature and humidity exposure.
The samples were tested in series at certain exposure intervals in specified modes (Table 7).
Test intervals were selected based on available data on accelerated carbonation [4,13,24,28] for further correlation with the actual service life of concrete.

2.4. Methods for Testing Concrete Samples

According to existing research [4,5,8,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38], there are many different methods for concrete carbonation process research. For the current research, it was decided to focus on studying changes in the physical and mechanical properties of concrete and microstructure during model aging. The mentioned approach was intended to ensure the applicability of the results for further analysis of the process of concrete degradation under various operating conditions and the research into the possibility of correlating the data with the results of actual studies of concrete samples of deep-burial storage facilities.

2.4.1. Determination of Physical and Mechanical Characteristics

After the concrete samples reached the age of 28 days for each subsequent series the following tests were carried out:
  • Testing a series of four samples of type (2A) for compressive strength using the standard method according to [45].
  • Research into the carbonation depth and the content of carbonation products on one initial sample of type (1A) according to [4,33].

2.4.2. Research into Carbonation Depth and Content of Carbonation Products

The research into the carbonation depth and the content of carbonation products of a type 1A concrete sample includes the following sequence of actions:
The sample is split in the direction normal to the working edge into two equal parts, as shown in Figure 3:
A 0.1% solution of phenolphthalein in ethyl alcohol is applied to the chip surface of one of the resulting parts of the split sample from the side of the working edge. Then, the thickness of the neutralized concrete layer is measured, which is equal to the distance from the surface of the sample to the layer painted with a colored phenolphthalein solution.
From the cleavage surface of the second part of the split sample, three samples are taken for microscopy and powder X-ray diffraction and three samples for thermogravimetric analysis. Samples are taken from points corresponding to 1/6, 2/6, and 3/6 of the distance along the long edge of the chip, as shown in Figure 4:
After conducting a microscopic examination using scanning electron microscopy (SEM) and energy-dispersive analysis for the same samples, appropriate sample preparation was carried out in order to conduct X-ray phase analysis using powder X-ray diffraction (XRD).
Carrying out measurements and processing the results of assessing the diffusion permeability of concrete for carbon dioxide using a 0.1% solution of phenolphthalein in ethyl alcohol is carried out according to [46].

2.4.3. Powder X-ray Diffraction (XRD)

The method is based on recording the diffraction of X-ray radiation when it is reflected from flat networks of crystal structures of the sample [4,36,38]. The diffraction patterns obtained during registration are deciphered to determine the qualitative and quantitative mineralogical (phase) composition of the sample.
To carry out X-ray phase analysis, the Thermo Fisher Scientific ARL X’TRA X-ray diffractometer was used (diffraction maximum positions: ±0.015°, relative standard deviation of the output signal: no more than 1.0%, angle sensor readout resolution: 0.00025°, goniometer diameter (adjustable): 400–520 mm, factory software WinXRD version 2.0-6, SIROQUANT version 3.0, Crystallographica Search-Match version 3.1.0.0).
A sample of the test material was manually crushed to a powder state. Then, a sample weighing ~100 g was taken by quartering. The selected sample was crushed in a planetary-type ball mill with a tungsten carbide headset for 600 s at 500 rpm.
The crushed sample for X-ray phase analysis is placed in round top-loading sample holders made of special steel. The parameters for recording diffraction patterns on the Thermo Fisher Scientific ARL X’TRA instrument are given in Table 8.
The analysis was carried out by interplanar distances in manual mode using the Hanawalt method and in semi-automatic mode using Crystallographica Search-Match Oxford Cryosystems software (version 3.1.0.0).
Standard-free quantitative X-ray diffraction analysis using the Rietveld method was carried out using Siroquant 4.0 Sietronics Pty Ltd. software (Mitchell, Australia). For all phases, the following parameters were specified: scale factor, zero offset of the device counter, background parameters (Chebyshev polynomial of the 5th degree), unit cell parameters, profile parameters using the Pearson VII profile function (U, V, W according to the Cagliotti dependence).
The analysis of the amorphous phase content in the samples was carried out by comparing the areas of halo and reflections of crystalline phases according to Formula (1):
ν g = S h a l o S h a l o S r e f = S b c k g S b c k g e x t r a S t o t S b c k g e x t r a
where νg is a volume fraction of amorphous phase;
S b c k g is an area under the background curve within the limits of integration;
S b c k g e x t r a is an area under the background curve with extrapolation of the area under the halo (straight line is the best approximation to the common tangent);
Stot is total area under the theoretical radiograph (based on refinement results).

2.4.4. Scanning Electron Microscopy (SEM) and Energy-Dispersive Analysis

The essence of the method is to use a scanning electron microscope FEI Quanta 200 FP 2012/13, FEI Company, with an attachment for energy-dispersive chemical microanalysis Apollo10-PSU (EDAX), operating on the principle of interaction of an electron beam with the substance under study, to obtain an image of the surface of an object with high spatial resolution, as well as information about its composition, structure and properties.
Before testing, the test samples were fixed on a flat horizontal surface of metal washers using conductive carbon tape.
The prepared sample washers were installed in the microscope chamber using a special holder in the form of a table with seven connectors.
The following parameters were used during testing:
  • Cathode: tungsten;
  • Apertures: 7.5–120 µm;
  • Accelerating voltage: 100 V–30 kV;
  • Maximum magnification: up to 150,000 times;
  • High/low vacuum or natural environment modes.

2.4.5. Thermogravimetric Analysis (TGA)

Thermogravimetric analysis a commonly used instrumental method for researching the concrete carbonation process [4].
The research using TGA was carried out in two stages:
  • The first stage is obtaining identification thermoanalytical characteristics as a result of testing using statistical methods of processing and calculating average values and dispersions;
  • The second stage is to analyze changes in the carbonate content in concrete based on a comparison of dispersions and average values of significant thermo-analytical characteristics.
For testing purposes, a concrete sample was crushed to a homogeneous powder state.
The sample was heated with air entering the test cell. Sample shooting parameters are presented in Table 9:
For each sample, two consecutive tests were carried out to confirm the repeatability of the results obtained. If the obtained data differed significantly, additional tests were carried out.
The choice of the temperature range for the research was based on the considerations that in the case of concrete carbonation process the decomposition of carbonate-containing compounds occurs up to 1000 °C.
As a result of thermoanalytical tests, the corresponding graphical dependencies are obtained (an example of the obtained graphical dependencies is presented in Figure 5).
The following parameters were determined for each set point as a result of processing TGA curves:
  • Arithmetic mean X ¯ according to the Formula (2):
X ¯ = ( x 1 + x 2 + + x n ) n
where x is the estimate of the significant characteristic of thermal analysis; n —number of consecutive tests.
  • Deviations d from the arithmetic mean according to the Formula (3):
d n = x n X ¯
  • The squares of these deviations according to the Formula (4):
d n 2 = ( x n X ¯ ) 2
  • Standard deviation of repeatability (convergence) of measurement results S for each point according to the Formula (5):
S = ( d 1 2 + d 2 2 + + d n 2 ) ( n 1 )
The evaluation of the results obtained was carried out through a comparative analysis of the thermoanalytical characteristics of the initial (reference) and test (after carbonation) samples.
In the process of analyzing the results obtained, the following points were studied:
  • Weight loss in the range up to 100 °C, corresponding to the content of interlayer moisture in the sample;
  • Identity of the studied samples over the entire temperature range;
  • Weight loss in the range of 700–1000 °C, in which calcite decomposes;
  • Dynamics of mass loss at characteristic temperature intervals determined from the DTG curve.

3. Results and Discussion

Please note that due to the excessive amount of the data obtained in the research process, only the most notable results are presented in the current paragraph of the manuscript. The data analysis and conclusions were drawn considering all the data obtained during the research.

3.1. Physical and Mechanical Characteristics

For each series of samples, four consecutive tests were carried out, recording the mass of each sample, linear dimensions and breaking load (in kN). After the tests, the data were recalculated in MPa and averaged for each series.
The average results of determining the compressive strength of cube samples for each of the selected modes are presented in Figure 6. The type of failure when testing all samples in schematic form [45] is indicated in Figure 7.
In the first 56 days of testing (series 5), the strength gain for samples of both modes is linear. Up to the 56th day of testing, the strength value of samples maintained at elevated temperatures (mode II) is on average 1.6 MPa lower compared to samples of mode I. The dynamics of changes in the strength of the studied samples changes significantly after the 84th day of testing for mode I (series 6), and after 112 days for mode II (series 7). In the period from 112 to 168 days of testing, the strength of mode II samples exceeds the strength of mode I samples by an average of 4 MPa.
For samples in both modes, a strengthening of the structure is observed, which indicates a positive effect of concrete carbonation on strength gain. At the same time, the dynamics of changes in strength starting after 112 days of testing for samples of both modes has a similar character.

3.2. Depth of Carbonation and Carbonation Products Content

Photographs of samples for researching the depth of carbonation based on assessing the diffusion permeability of concrete for carbon dioxide are presented in the form of photographs of the thickness of the neutralized layer of concrete after treating the split surface with a phenolphthalein solution and are presented in Table 10.
As can be seen from a comparison of images, the dynamics of the carbonation process when simulating the operation of concrete under conditions of elevated temperatures noticeably accelerates already in the first weeks of testing. At the 112th day of testing under mode II (series 7), carbonation of the concrete sample reaches its maximum value.

3.3. Results of Carbonation Research Using Scanning Electron Microscopy and Energy-Dispersive Analysis Methods

At the early stage of hardening, during the hydration of tricalcium (C3S) and dicalcium (C2S) silicates, portlandite (Ca(OH)2) is formed in the control concrete sample. As can be seen in Figure 8, portlandite is in a form of lamellar crystals fused together, located among crystals of calcium hydrosilicates.
After accelerated carbonation of the samples for 14 days (series 3), it was found that carbonation products are mainly formed on the C-S-H surface. At the same time, at elevated temperatures, a more intense formation of calcium carbonate crystals is observed at point 1 (in accordance with Figure 4), located closer to the surface of the concrete sample, in contrast to a similar point on the sample of mode I (Table 11).
It should be noted that a distinctive feature of the microstructure of the mode I concrete sample is the presence of ettringite crystals, which are absent in the microstructure of the mode II concrete sample. The absence of ettringite in the structure of the sample tested in mode II can be explained by the ettringite transition to monosulfate (according to [4,6,15,19,20,21,22,23,24,25,26,27,28,32,33,34,35,36,37], complete decomposition of ettringite occurs at temperatures around 60–80 °C).
After accelerated carbonation for 84 days (series 6), pores and microstructure defects are filled with carbonation products in samples of both modes (Table 12), which leads to compaction of the concrete structure, and to an increase in compressive strength (Figure 6).
The concrete sample microstructure decompaction in mode II after 14 days of testing (series 3), by the time it reaches 84 days (series 6), is compensated by intensive microstructure compaction by carbonation products and a significant increase in compressive strength (Table 12).

3.4. Results of Carbonation Research Using X-ray Diffraction Method

Concrete samples were tested using powder X-ray diffraction (XRD). The research into each sample was carried out at three points (in accordance with Figure 4). Notable diffraction patterns are presented in Figure 9, Figure 10, Figure 11, Figure 12, Figure 13 and Figure 14.
Analysis of the data obtained showed more intense dynamics of the calcium carbonate formation in samples of mode II at point 1 (closer to the outer surface) compared to samples of mode I. A distinctive feature of samples of mode I is the presence of ettringite at all points, which confirms the data of SEM.
The amount of portlandite (Ca(OH)2) in mode II samples at point 1 noticeably decreases during testing. After 168 days of testing (mode II series 9), the mass content of portlandite at point 1 is significantly reduced and is close to zero, which indicates its complete transition to calcite as a result of interaction with CO2.

3.5. Results of Carbonation Research Using TGA Method

For each sample, two tests were carried out. If there were significant deviations in the thermal characteristics of the samples, identified by the results of a preliminary analysis of the obtained TGA curves, or errors in the form of sharp changes in the values of mass change, an additional test was carried out. In this case, the two closest TGA curves were selected for subsequent analysis. An example of TGA curves obtained and accepted for further analysis is presented in Table 13.
An example of summary data on the obtained TGA curves (at point 1) is presented in Table 14.
With accelerated carbonation (mode I), the process begins closer to the surface of the sample (point 1 in accordance with Figure 4). The change in the pore structure also noticeably affects the content of free and interlayer water in the samples (the graphs show the DTG effect with an extremum in the range of 90–120 °C). The mass content of portlandite (Ca(OH)2) also noticeably decreases at point 1, which is explained by interaction with CO2 from the environment and the subsequent intensification of the process of calcium carbonate formation.
In the case of carbonation at elevated temperatures, the process proceeds more intensely. At the same time, the content of free and interlayer water decreases at all three points more evenly compared to samples of mode I. At the 112th day of testing (mode II series 7), new hydrate phases are formed, as indicated by a change in the dynamics of mass loss in the range of 480–760 °C.
At the 84th day of the experiment at elevated temperatures (mode II series 6), the mass content of calcium carbonate inside the sample reaches the same values as during classic accelerated carbonation for 168 days (mode I series 9).

4. Conclusions

Analysis of the data obtained allows us to draw the following conclusions.
When carrying out model-accelerated carbonation under conditions of elevated temperature, the concrete carbonation process proceeds much more intensely compared to classical accelerated carbonation. In the period up to 28 days of testing, the transition of ettringite to monosulfate leads to the microstructure decompression of mode II samples, which leads to a decrease in their compressive strength in comparison with mode I samples (Figure 6).
As a result of carbonation at elevated temperatures for 84 days, a concrete structure is formed similar to that observed after 168 days of accelerated carbonation. At the same time, there are a number of significant differences in the dynamics and depth of carbonation.
A comparison of the data obtained on accelerated carbonation under model aging conditions with the available data from works [24,28,32,38,47,48,49,50,51,52,53] on the analysis of field research data showed the similarity of the results of researching the microstructure and physical and mechanical properties of concrete. Considering the data on microstructural changes, there is a similarity in the dynamics of the formation of calcium carbonate and the compaction of the crystalline structure of concrete. It is noted that, in the case of laboratory samples, the structure is more homogeneous and the carbonation dynamics can be observed more clearly. This fact indicates the relevance of the data obtained by the model aging method both in the case of the normal method of accelerated carbonation and in the case of accelerated carbonation under conditions of elevated temperature.
In general, a positive effect of concrete carbonation expressed in the compaction of the concrete structure due to the filling of the microstructure with carbonation products and a subsequent increase in its strength is observed. In the absence of external factors accelerating the corrosion of concrete, under thermal exposure during the operation of concrete structures of used nuclear fuel storage facilities, a self-healing effect of concrete may be observed as a result of more intense formation of calcium carbonate. However, it is worth considering the fact that the presence of steel reinforcement used in most structures of such buildings will have a negative effect on strength and durability as a result of corrosion of the passivation layer [5,7,8,9,10,11,12,13,16,17,18,28,29,30,31,32]. In this regard, each type of concrete, depending on its mineral and chemical composition, as well as the presence or absence of reinforcement, must be researched in more detail to further predict its performance properties and durability.

5. Future Directions

Selection of optimal conditions for conducting model tests of concrete based on the relationship between thermal and radiation-thermal changes that occur in concrete during irradiation and heat treatment, proven in works [52,53,54,55], will allow for a more in-depth study of the corrosion process of concrete in spent nuclear fuel storage facilities. It will also allow to adapt the methodology for assessing the service life of concrete structures for various operating conditions [56,57].
The obtained data from model research can be used to develop concrete aging models taking into account the dynamics of the carbonation process for the structures of deep-burial storage facilities [2,5,7,58,59].
Further analysis of the obtained data using machine-learning methods will make it possible to establish the dependence of the rate of the corrosion process on temperature, humidity and radiation exposure [4,21,27,39,60]. In addition, it will allow developing methods for assessing the service life and condition of concrete in reinforced concrete structures of deep-burial storage facilities for a long service life under the influence of temperature, humidity and radiation.
Correlation of the data obtained as a result of model tests with the results of research on concrete carbonation in real objects will make it possible to more accurately predict the dynamics of the carbonation process based on the results of model tests, taking into account the requirements of the IAEA [1,2].
According to these requirements, concrete and reinforced concrete structures of such buildings must be designed for a service life of up to 1000 years. In the case of concrete (without the use of reinforcement), its service life can be increased due to the positive effect as a result of carbonation. However, in the presence of metal reinforcement in concrete, the service life of such structures under the same conditions may be significantly lower. More in-depth research should be carried out on the use of alternative methods of concrete reinforcement (for example, fiber) or monolithic concrete structures in areas with the highest thermal and radiation loads. In addition, the authors consider one of the options for extending the service life of such structures to be the development of methods for protecting reinforced concrete structures from carbonation. Model tests will speed up the development and implementation of this approach.
The results of such research may become the basis for adjusting existing methods for calculating and predicting the durability of concrete structures for used nuclear fuel storage facilities.

Author Contributions

Conceptualization, V.M. and A.P.; methodology, V.M., A.P. and A.A.; validation, A.P. and A.A.; formal analysis, V.M., A.P. and L.A.; investigation, V.M., A.P. and A.A.; resources, V.M. and L.A.; writing—original draft preparation, V.M. and L.A.; writing—review and editing, V.M. and L.A.; visualization, V.M., A.A. and L.A.; supervision, A.P.; project administration, A.P. and A.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to internal company policies.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Modulus of the geometric dimension of the concrete samples used in the research.
Figure 1. Modulus of the geometric dimension of the concrete samples used in the research.
Buildings 14 00008 g001
Figure 2. Types of samples: (a) sample type (1A)—plate 100 × 100 × 50 mm; (b) sample type (2A)—cube 100 × 100 × 100 mm.
Figure 2. Types of samples: (a) sample type (1A)—plate 100 × 100 × 50 mm; (b) sample type (2A)—cube 100 × 100 × 100 mm.
Buildings 14 00008 g002
Figure 3. Scheme of splitting a sample of type (1A) for researching the processes of concrete carbonation.
Figure 3. Scheme of splitting a sample of type (1A) for researching the processes of concrete carbonation.
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Figure 4. Scheme of using parts of a split sample of type (1A) to research the processes of concrete carbonation: (a) surface treatment with a 0.1% phenolphthalein solution; (b) points of sampling for physicochemical analysis (round points—SEM and XRD, square points—TGA).
Figure 4. Scheme of using parts of a split sample of type (1A) to research the processes of concrete carbonation: (a) surface treatment with a 0.1% phenolphthalein solution; (b) points of sampling for physicochemical analysis (round points—SEM and XRD, square points—TGA).
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Figure 5. An example of the resulting TGA curves (on the graph: 1—TG curve (mass loss); 2—temperature; 3—DTG curve (change in mass over time); 4—example of a graphical determination of temperature with a mass loss of 50%).
Figure 5. An example of the resulting TGA curves (on the graph: 1—TG curve (mass loss); 2—temperature; 3—DTG curve (change in mass over time); 4—example of a graphical determination of temperature with a mass loss of 50%).
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Figure 6. Data for determining the compressive strength of cube samples.
Figure 6. Data for determining the compressive strength of cube samples.
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Figure 7. Schematic illustration of the type of failure of cube samples.
Figure 7. Schematic illustration of the type of failure of cube samples.
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Figure 8. Lamellar fused crystals of portlandite located among crystals of calcium hydrosilicates (Control sample, mode II series 1).
Figure 8. Lamellar fused crystals of portlandite located among crystals of calcium hydrosilicates (Control sample, mode II series 1).
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Figure 9. Comparative analysis of XRD patterns of mode I samples at point 1.
Figure 9. Comparative analysis of XRD patterns of mode I samples at point 1.
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Figure 10. Comparative analysis of XRD patterns of mode I samples at point 2.
Figure 10. Comparative analysis of XRD patterns of mode I samples at point 2.
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Figure 11. Comparative analysis of XRD patterns of mode I samples at point 3.
Figure 11. Comparative analysis of XRD patterns of mode I samples at point 3.
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Figure 12. Comparative analysis of XRD patterns of mode II samples at point 1.
Figure 12. Comparative analysis of XRD patterns of mode II samples at point 1.
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Figure 13. Comparative analysis of XRD patterns of mode II samples at point 2.
Figure 13. Comparative analysis of XRD patterns of mode II samples at point 2.
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Figure 14. Comparative analysis of XRD patterns of mode II samples at point 3.
Figure 14. Comparative analysis of XRD patterns of mode II samples at point 3.
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Table 1. Stressors and aging mechanisms of concrete structures of underground deep-burial storage facilities [1].
Table 1. Stressors and aging mechanisms of concrete structures of underground deep-burial storage facilities [1].
StressorsMechanism of AgingAging EffectPotential Degradation Sites
Moisture seeping into concreteLeaching and efflorescenceIncreased porosity and permeability;
decrease in strength
Around cracks;
areas with high moisture percolation
Exposure to alkalis and sulfates from soil, seawater or groundwaterSulfate corrosionVolume change and local crackingUnderground structures and foundations
Exposure to aggressive acids and basesConverting hardened cement into a soluble material susceptible to leachingIncreased porosity and permeabilityLocal sections of structures adjacent to pipelines and storage tanks for aggressive liquids
Combination of filler reactivity with high humidity levels and exposure to alkalisSwelling of aggregates due to chemical reactions with alkaliCracking;
aggregate loss
Areas exposed to moisture; structures with incorrectly selected filler
Thermal impact/thermal cycleFluctuations in humidity and differences in the coefficients of thermal expansion of concrete componentsCracking;
chips;
decrease in strength;
decrease in elastic modulus
Places adjacent to hot equipment and pipelines
Table 2. Mineralogical composition of the cement used in the research.
Table 2. Mineralogical composition of the cement used in the research.
Compounds, %
C3SC2SC3AC4AFLimestone
64.6211.077.6813.463.17
Table 3. Chemical composition of the cement used in the research.
Table 3. Chemical composition of the cement used in the research.
Compounds, %
CaOSiO2Al2O3SO3Fe2O3MgOK2OTiO2Na2OMnOP2O3loi
64.6318.095.134.394.141.421.150.2680.1730.07850.2370.29335
Table 4. Mineralogical composition of the microsilica used in the research.
Table 4. Mineralogical composition of the microsilica used in the research.
Compounds, %
SiO2Al2O3Fe2O3CaOMgONa2OK2OCS
90–920.680.690.851.010.611.230.980.26
Table 5. Composition of concrete used in the research.
Table 5. Composition of concrete used in the research.
Concrete GradeMaterial Consumption, kg/m3
CementSandCrushed StoneWaterPlasticizing AdditiveAir-Entraining AdditiveMicrosilica
B3028595510001504.71.015
Table 6. Model aging modes.
Table 6. Model aging modes.
ModeConditions
Temperature, °CRelative Humidity, %CO2 Concentration, %
Mode I21 ± 275 ± 310
Mode II50 ± 275 ± 310
Table 7. Description of the tested series of samples.
Table 7. Description of the tested series of samples.
Sample Series NumberDuration of the Test, Days (From the Date of Sample Manufacture)Description
10Control sample
27The samples were kept under the given conditions for the specified number of weeks, after which they were tested
314
428
556
684
7112
8140
9168
Table 8. Parameters for recording diffraction patterns on the Thermo Fisher Scientific ARL X’tra apparatus.
Table 8. Parameters for recording diffraction patterns on the Thermo Fisher Scientific ARL X’tra apparatus.
ParameterValue
GeometrySymmetrical θ–θ for reflection
Sample rotation30 rpm
Characteristic radiationCuKα1+2
Maximum X-ray tube power2200 W
X-ray tube accelerating voltage40 kV
X-ray tube filament current40 mA
DetectorScintillation
Primary beam deflection slit DS1.47 mm
Soller collimator slits on the primary/secondary SoS beams1.3°
Primary beam scattering slit SS12.40 mm
Secondary beam scattering slit SS20.90 mm
Secondary beam receiving slit RS0.30 mm
Scan modeStep by step
Scan step0.02° 2θ
Scan speed1.0° 2θ/min
Scan range4.00–70.00° 2θ
Table 9. Parameters for sample shooting using the TGA method.
Table 9. Parameters for sample shooting using the TGA method.
ParameterValue
Sample conditionPowdered, homogenized
Crucible typeOpen
AtmosphereAir
Sample weight, mg25–50 ± 3
Initial temperature30 °C
Heating rateConstant, 10 °C/min
Final temperature1000 °C
Table 10. Appearance of samples of modes I and II after phenolphthalein treatment.
Table 10. Appearance of samples of modes I and II after phenolphthalein treatment.
Mode IMode II
Series 1 (Control sample)Buildings 14 00008 i001Buildings 14 00008 i002
Series 4Buildings 14 00008 i003Buildings 14 00008 i004
Series 6Buildings 14 00008 i005Buildings 14 00008 i006
Series 9Buildings 14 00008 i007Buildings 14 00008 i008
Table 11. Microstructural changes in concrete samples after 14 days of testing (series 3).
Table 11. Microstructural changes in concrete samples after 14 days of testing (series 3).
Mode IMode II
Point 1Buildings 14 00008 i009Buildings 14 00008 i010
Point 2Buildings 14 00008 i011Buildings 14 00008 i012
Point 3Buildings 14 00008 i013Buildings 14 00008 i014
Note: * HCMAS—hydrous calcium mono aluminium sulfate.
Table 12. Microstructural changes in concrete samples after 84 days of testing (series 6).
Table 12. Microstructural changes in concrete samples after 84 days of testing (series 6).
Mode IMode II
Point 1Buildings 14 00008 i015Buildings 14 00008 i016
Point 2Buildings 14 00008 i017Buildings 14 00008 i018
Point 3Buildings 14 00008 i019Buildings 14 00008 i020
Table 13. TGA curves for the concrete sample at mode I.
Table 13. TGA curves for the concrete sample at mode I.
POINT 1POINT 2POINT 3
Series 1Buildings 14 00008 i021Buildings 14 00008 i022Buildings 14 00008 i023
Series 4Buildings 14 00008 i024Buildings 14 00008 i025Buildings 14 00008 i026
Series 6Buildings 14 00008 i027Buildings 14 00008 i028Buildings 14 00008 i029
Series 9Buildings 14 00008 i030Buildings 14 00008 i031Buildings 14 00008 i032
Table 14. Example of the obtained summary data based on the results of TGA.
Table 14. Example of the obtained summary data based on the results of TGA.
Mode I (Point 1)
ParameterSeries
123456789
Mass loss
Mass loss at temperature, %
1Δm1002.112.552.552.310.700.811.120.330.44
2Δm2006.335.845.286.142.543.333.851.912.42
3Δm3007.017.195.956.813.124.324.822.663.18
4Δm4007.567.656.457.183.585.085.513.223.66
5Δm5008.147.877.067.814.185.646.153.984.35
6Δm6008.188.238.438.335.476.597.015.605.99
7Δm7008.879.6610.149.577.338.318.627.718.12
8Δm80013.5214.3914.3213.8911.5812.3413.5311.9812.56
9Δm90013.6814.5015.2514.3812.8812.7614.1512.8513.44
10Δm100013.9114.6515.3514.4213.0612.9914.3513.0913.64
Square deviation of mass loss at temperature, %
1S1000.010.000.000.000.010.010.010.010.01
2S2000.010.010.000.010.010.010.010.010.03
3S3000.000.010.020.000.010.010.000.010.01
4S4000.000.000.010.000.020.020.010.000.01
5S5000.020.030.010.020.010.000.010.000.01
6S6000.010.020.000.010.020.010.010.010.01
7S7000.000.010.060.040.010.010.010.010.01
8S8000.030.010.020.030.020.010.020.000.01
9S9000.010.010.050.040.010.010.010.000.01
10S10000.010.010.030.060.010.010.020.010.02
Mass loss temperatures, °C
1T2%96979595154135121213167
2T4%114125125114481265213503458
3T6%165241312186636551466625605
4T8%455449570556736688669715697
5T10%755715695731780756748774764
6T12%770777768769806790780802792
7T14% 790796807 864
Square deviation of mass loss temperatures, °C
1S2%000001000
2S4%100000010
3S6%011101010
4S8%100001010
5S10%000000011
6S12%110101011
7S14% 012 0
Characteristics of DTG maxima in the temperature range
Maximum temperature, °C
1Tmax 1105101981018581
2Tmax 2119118117 115113115109111
3Tmax 3171 169155159 168165
4Tmax 4469467471468 463467
5Tmax 5 672
6Tmax 6787786792786803780784790782
Square deviation of the maximum temperature, °C
1STmax 1000011
2STmax 2100 00000
3STmax 30 000 00
4STmax 41101 00
5STmax 5 0
6STmax 6000100000
Maximum mass loss rate, %/min−1
1AMax 11.281.321.041.220.270.28
2AMax 20.700.700.46 0.370.410.470.270.31
3AMax 30.20 0.180.160.23 0.140.16
4AMax 40.290.260.120.21 0.170.21
5AMax 5 0.23
6AMax 60.590.680.790.630.800.720.760.750.78
Standard deviation of maximum mass loss rate, %/min−1
1SAMax 10.010.000.000.000.000.00
2SAMax 20.000.000.00 0.000.010.000.000.00
3SAMax 30.00 0.000.000.00 0.000.00
4SAMax 40.010.010.000.00 0.000.01
5SAMax 5 0.00
6SAMax 60.000.010.010.010.000.000.000.000.00
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Medvedev, V.; Pustovgar, A.; Adamtsevich, A.; Adamtsevich, L. Concrete Carbonation of Deep Burial Storage Constructions under Model Aging Conditions. Buildings 2024, 14, 8. https://doi.org/10.3390/buildings14010008

AMA Style

Medvedev V, Pustovgar A, Adamtsevich A, Adamtsevich L. Concrete Carbonation of Deep Burial Storage Constructions under Model Aging Conditions. Buildings. 2024; 14(1):8. https://doi.org/10.3390/buildings14010008

Chicago/Turabian Style

Medvedev, Vyacheslav, Andrey Pustovgar, Aleksey Adamtsevich, and Liubov Adamtsevich. 2024. "Concrete Carbonation of Deep Burial Storage Constructions under Model Aging Conditions" Buildings 14, no. 1: 8. https://doi.org/10.3390/buildings14010008

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