1. Introduction
As granular waste from iron ore smelting, IOT have the obvious characteristics of fine powder and pozzolanic activation [
1]. The porosity and related mechanical properties of recycled aggregate concrete are lower than those of ordinary concrete due to the existence of adhesive mortar [
2,
3]. At the same time, the utilization rate of IOT in China is less than 30%, which is far lower than the 90% rates in other developed countries [
4,
5]. Finally, a large amount of funds needs to be invested every year to deal with this problem, which has become the main factor in the restriction of the economic and ecological development of our country. When we are able to give full play to the respective performance of IOT and combine them with RAC to make recycled concrete with tailings, it improves their performance and provides a strong push to respond to the national policy of “clear waters and green mountains are as good as mountains of gold and silver”.
Under the action of salt spray, chloride ions that attach to the concrete surface gradually erode and soak into the concrete, resulting in the destruction of the passive film of the reinforcement, the erosion of the reinforcement and even the durability failure of the structure [
6]. Kamiharako [
7] analyzed the relationship between the number of chloride ions attached to a structure’s surface and the shape of the structure through numerical simulation and software analysis. Then, a set of techniques were proposed for applying these results to the prediction of the amount of chloride ingress in the concrete members of a bridge superstructure. Chendra [
8] analyzed the main influencing factor of flow field on the chloride ion adsorption capacity of a concrete surface by using the wind tunnel test. Then, the amount of sea salt in the air was estimated through numerical simulation (computational fluid dynamics). Mohamed [
9] developed a new artificial neural network (ANN) to predict the chloride ion penetration level and compressive strength of a self-compacting concrete mixture, which was in good agreement with our test results. Ariyachandra [
10] discussed the effect of NO
2 isolated recycled concrete aggregate (NRCA) on the chloride diffusion and chloride binding capacity of concrete, the results of which showed that the addition of NRCA increased the formation of Friedel’s salt and Kuzel’s salt in concrete and enhanced the chloride ion binding ability of concrete. The results also identified the mechanisms for enhancing the chloride ion erosion resistance of NRCA mixed concrete. Rajamallu [
11] studied the chloride ion permeability and erosion characteristics of cement concrete that was partially replaced by slag and silica fume and showed that it could strengthen erosion resistance. Su [
12] simulated the combined effects of marine salt spray environments and fatigue alternating loads. The results showed that the greater the stress level and the greater the loading frequency, the greater the chloride ion content at the same depth.
At present, experts and scholars have systematically studied the erosion characteristics and erosion mechanisms of ordinary concrete in salt spray environments, but research on recycled concrete with iron tailings has been relatively less extensive. Oritola [
13] used microscopic and physical examination techniques to test and evaluate five types of iron tailings that were obtained from different places and compared them to ordinary natural aggregate. The results showed that iron tailings could be used well in concrete. Protasio [
14] studied the pozzolanic activity and comprehensive pore size distribution of concrete with iron tailings using thermogravimetric analysis, XRD and uniaxial compression tests. Then, the influence laws of different replacement proportions of iron tailings on the compressive strength and workability of concrete were obtained. Wang [
15] studied the strength of recycled concrete that was mixed with construction waste and iron tailings. When the additional water content of the recycled aggregate was 0% and the content of iron tailings was 60%, the compressive strength of the recycled concrete was at its highest. Wei [
16] conducted experimental research on 12 groups of high-ductility recycled concrete with iron tailings and systematically studied the main mechanical properties, such as compressive strength, flexural strength and splitting tensile strength. The results showed that the mechanical properties first increased and then decreased with the increase in iron tailings content and reached a peak when the iron tailings content was 30%. Cui [
17] used the variance analysis method to analyze the compressive strength of recycled concrete with iron tailings under different working conditions. Professor Wang of the Xi’an University of Architecture and Technology [
18,
19,
20,
21,
22] conducted a systematic macro- and micro-analysis on the strength, mechanical properties, deformation properties, carbonation, freeze–thaw cycles and other durability factors of recycled concrete with tailings, which provided a valuable basis for the development of recycled concrete with tailings.
Therefore, this paper studied the erosion characteristics and mechanisms of recycled concrete with different amounts of iron tailings under different periods of salt spray erosion in order to find the optimal amount of iron tailings for salt spray environments and provide a theoretical basis for engineering applications.
2. Test Materials
Qinling ordinary portland cement (p.o.42.5) and Bahe natural river sand were used in our tests. Natural coarse aggregate (NCA) was made from artificial crushed stone with particle size range of 5–20 mm and continuous grading. Recycled coarse aggregate (RCA) was a common material found in Xi’an market, which has been in service for 30 years. The strength grade of the original concrete was C30. After screening, cleaning, drying, bagging and the other procedures, it could be used for later tests.
The iron tailings (IOT) came from the YAOGOU tailings reservoir in Shangluo, Shaanxi Province, which was accumulated by the waste slag that was generated after steelmaking and covered an area of nearly 1000 square meters up to 6.8 m high. According to incomplete statistics, the accumulation of tailings accounted for 45.67% of industrial waste in China. In 2020–2021, the comprehensive utilization of industrial solid waste was 2.059 billion tons with a utilization rate of 62.3%, but this rate for tailings was only 18.9%, which still leaves a lot of room for development. In this paper, the constituent elements of iron tailings were determined using energy spectrum analysis with the Vario EL cube and the particle gradation was determined using a negative pressure grading screen, as shown in
Figure 1,
Table 1,
Table 2 and
Table 3. The performances of the main test materials met the requirements for the relevant specifications [
23,
24].
At the same time, based on previous results obtained by the research group, the replacement rate of recycled aggregate was 30% [
18,
19,
20,
21,
22]. For the convenience of comparative analysis, the tailings dosage was 0%, 10%, 20%, 30%, 40%, 50%, 70% and 100% and the water–cement ratio and the sand ratio were 0.4 and 0.35, respectively. The mix proportion was also carried out according to JGJ/T443-2018 [
25]. The mix proportion of each test is shown in
Table 4.
3. Test Setup
To simulate the chloride ion erosion characteristics of recycled concrete with tailings in salt spray environments, cube test blocks (100 mm × 100 mm × 100 mm) were used to test the salt spray erosion depth and change in ion content characteristics. To avoid the influence of multi-dimensional salt spray erosion on the erosion depth and ion concentration of the test block, a non-pouring surface was reserved as the salt spray erosion surface after the maintenance. The test process is shown in
Figure 2.
The test used a large salt spray erosion test box that was produced by Yingbai Technology Co., Ltd. in Wuxi Wuxi City, Jiangsu Province, China. When the test block had eroded to the specified age (7 d, 14 d, 28 d and 90 d), the salt spray erosion depth and ion content were measured using the following procedures:
- (1)
For the erosion depth measurement, a split along the erosion surface was sprayed with a 0.1 mol/L AgNO3 solution and after 15 min, 10 points on the cleavage surface were measured with a digital depth meter and the average value was calculated;
- (2)
For the ion concentration value, the single side grinding method was used to collect powder from the eroded surface every 2 mm, layer by layer up to 10 mm. Then, holes were drilled every 5 mm to collect the powder and the powder was then filtered through a 0.16 mm sieve. According to the specifications [
26], the total chloride ion concentration
Ct and the free chloride ion concentration
Cf were then extracted with dilute nitric acid mixed with distilled water and titrated potassium thiocyanate mixed with potassium chromate, respectively. The solid–liquid extraction method [
27] was used to determine the mass fraction.
4. Test Results
4.1. Slump Values
Table 5 shows the slump values of the RAC with different IOT contents. It can be seen that the values decreased significantly with the increase in IOT content. When the content reached 100%, its value was 48.2% lower than that of NAC. The main reason for this is that the IOT had fine particles and a large specific surface area, which meant that its active components could promote the hydration of cement and then reduce the amount of free water and slump.
4.2. Compressive Strength
Figure 3 shows the change curve of the compressive strength of the cubes and its growth coefficient after salt spray erosion. The growth coefficient was defined as the ratio between the actual strength and the strength for the same age of salt spray erosion at 0 days (natural curing for 28 days). It can be seen from
Figure 3a that the influence trends of the different tailings dosage conditions for the same erosion age were the same. Except for ordinary concrete, the compressive strength increased when the tailings content was lower (≤40%) for the same salt spray erosion age and the higher the tailings content, the greater the compressive strength. For example, when the content of IOT increased from 0% to 40%, the compressive strength increased by 24.52% (0 d), 21.72% (7 d), 18.86% (14 d), 18.82% (28 d) and 19.60% (90 d). The main reason for this is that the tailings presented a certain fine powder and activity. Under the same conditions, the concrete became denser, the porosity decreased and the compressive strength increased with the addition of a 40% content of IOT. At the same time, when the IOT content was higher (>40%), the compressive strength decreased. This change trend was similar to that found in the results of other studies [
27,
28,
29] on ordinary concrete.
Figure 3b shows the change rule for the compressive strength growth coefficient to salt spray erosion age under the same iron tailings mixture ratio. It can be seen that the change trends of the compressive strength growth coefficient caused by salt spray erosion were similar. With the same tailings content, the increase in erosion time generally demonstrated the trend of the growth coefficient of the compressive strength first increasing and then decreasing. Most of the concrete that was mixed with tailings had a peak point at 14 days, but the increased value was relatively limited with most being below 10% and some being less than 4%. In addition, there were a few concrete mixtures with peak points at 28 d, such as RAC-7 (70%) and RAC-8 (100%). The main reason for this is that when the tailings content was high, the design mix ratio of the concrete changed, the porosity increased and the peak point was pushed back. At the same time, when the salt spray erosion age was 90 d, the tailings content was 100%. In this case, the compressive strength was also increased by 0.78% compared to 0 d.
The above analysis showed that porosity was very significant in the salt spray erosion of concrete. Analyzing the reasons for this: on the one hand, the salt spray erosion products filled the pore structures and on the other hand, the salt crystals also had a swelling and densification effect on the pore structures [
30]. Therefore, the greater the porosity, the more erosion products could accumulate and the less destructive the effect of erosion on the concrete.
4.3. Splitting Tensile Strength
Figure 4 shows the change curve between the splitting tensile strength of the recycled concrete cubes with different tailings contents and their corresponding growth coefficients under salt spray erosion.
Due to the low splitting tensile strength of the cubes, which was greatly influenced by human, mechanical and material factors, the value of the splitting tensile strength fluctuated to varying degrees; however, on the whole, when the content of tailings was low (≤40%), the splitting tensile strength values for different erosion ages showed an undulating trend with the peak point appearing when the content of tailings was 30–40%. When the peak point was passed, the IOT content increased rapidly and then tended to level off. Most results showed that before 28 days of erosion, the value of splitting tensile strength gradually increased as the salt crystallization effect of the erosion increased, but then gradually decreased. The splitting tensile strength values at 90 days were even lower than those at 7 days, which showed that with the gradual increase in crystalline salt during those periods, a large expansion stress was generated in the cracks and pores and the tensile strength values were reduced accordingly.
Figure 4b shows the increasing growth coefficient of splitting tensile strength with the increase in erosion age with the same tailings content. Compared to the growth coefficient of salt spray of the compressive strength of the cubes, erosion age had less of an effect on splitting tensile strength and the intuitive phenomenon was that the slope of the curve was relatively small. On the whole, the growth coefficient for the same tailings content occurred after salt spray erosion for 14 to 28 days. Similar to the growth coefficient of compressive strength, the maximum value of the growth coefficient for splitting tensile strength occurred at 28 d for the condition of increased porosity, such as with RAC-1, RAC-7 (70%) and RAC-8 (100%). The growth coefficient at the peak point was also greater than that of compressive strength. For example, the splitting tensile strength growth coefficient of RAC-21, RAC-6 (60%) and RAC-8 (100%) increased by 56.9%, 38.1% and 22.3%, respectively, at the maximum point.
5. Erosion Depth
Figure 5 shows the erosion depth of the recycled concrete at different ages. It can be seen that the salt spray resistance of recycled concrete (RAC-1) was much lower than that of ordinary concrete (NAC) at the same erosion age. With the increase in IOT content, the salt spray erosion depth presented an approximate trend of first decreasing and then increasing, but the change trends were different. Approximately, when the tailings content was 30–40%, the erosion depth reached its minimum value. For example, after 90 days of salt spray erosion, the erosion depth of RAC-1 was 10.07% higher than that of NAC and the erosion depth of RAC-5 (u
IOT = 40%) was 14.29% lower than that of RAC-1 (u
IOT = 0%), indicating that the effect of an appropriate IOT amount on salt spray erosion was relatively obvious. The main reason for this is that the porosity of RAC was high and there were many interfacial transition zones, so salt spray could penetrate into the concrete more easily. As mineral admixtures, IOT particles are fine and have an obvious filling effect and activity, meaning that an appropriate amount could effectively promote the secondary hydration of cement particles and improve the pore structures and the compactness of the concrete matrix structures. As IOT replaced the fine aggregate in concrete, when the tailings content was too high, the optimal mix proportion of the concrete aggregate was, which led to an increase in the porosity of the concrete and a reduction in its anti-erosion ability.
6. Curing Ability of Chloride Ions
The absorption and curing effect of the chloride ions on concrete can greatly reduce the concentrations of free chloride ions and total chloride ions and the transmission rate of chloride ions, thereby reducing the risk of steel corrosion. Therefore, it was necessary to study the relationship between these three factors.
Mohammed [
31] conducted a chloride ion erosion test on different cement types, cement components and concrete mixed with mineral powder, steel slag and other admixtures. It was found that the free chloride ion and total chloride ion contents conformed to the following formula:
where
K is the curing coefficient of concrete with different material types. The larger the
K value, the stronger the curing ability of the concrete. In view of the diversity of cement varieties and cement components, this value is usually obtained by fitting the test results and reference [
32] also used this model. However, some scholars [
33] found that this model was not comprehensive and that it had a higher correlation when expressed as a complete linear model, i.e.:
where
K1 is the influence coefficient and
K2 is a constant for the amount of total chloride ions that can be solidified and absorbed per unit mass of concrete, i.e., the amount of combined chloride ions when the free chloride ion content is 0. In our tests, Equation (2) was used to analyze the test results. In view of the small erosion depth and relatively few test data points in the early stages of the test (7 d and 14 d), the correlation between the free chloride ion and total chloride ion contents at 28 d and 90 d was studied in order to improve the accuracy of the study, as shown in
Figure 6.
Figure 6a,c shows the location and size relationships of numerical points at the relevant erosion ages (28 d and 90 d), while
Figure 6b,d represents the direct ratio relationships. Due to the low content of chloride ions, the position of powder collection and the density and permeability of the concrete had a great influence on the calculated chloride ion content. Compared to
Figure 6a,c, the numerical points at the two erosion ages were in an approximately random distribution; however, it can be seen that the value of
Cf > 0.35% when the figure was decreasing, indicating that the free chloride ion concentration (
Cf) of concrete with the same tailings content gradually decreased with the increase in erosion time. As can be seen from
Figure 6b,d, the ratio of free chloride ions to total chloride ions changed linearly (approximately and except for some scattered numerical points) and the curing coefficient
K1 changed very little.
Figure 7 shows the change laws of the curing coefficients of different tailings content conditions at different erosion ages.
It can be seen that the curing coefficient increased with the increase in erosion age, which indicated that the curing ability of concrete gradually became stronger, i.e., more free chloride ions were converted into bound chloride ions. This was mainly because the longer the erosion time, the more calcium aluminate hydrate took part in the reaction and converted chloride ions into Friedel’s salt and then, the corresponding bound chloride ion content increased. However, the increase degree was different for different IOT contents. When IOT content was 30%, 40% and 50%, the curing coefficient increased by 2.75%, 15.79% and 18.29%, respectively. The blue dotted line in the figure indicates the ratio of NAC at the corresponding erosion age. It can be seen that when the erosion age was small (28 d), the curing ability of the chloride ions was enhanced by high tailings content. When the erosion age higher (90 d), the alkali content of the concrete was reduced due to the tailings promoting the secondary hydration of concrete, which had an impact on the alkaline environment of Friedel’s salt. Therefore, the curing performance of chloride ions decreased in the long term. However, due to the low activity of tailings, their impact on the alkaline environment of concrete was relatively limited. At the same time, the alkaline environment of RAC was stronger than that of NAC and the porosity of RAC was also higher, which caused the contact area with free chloride ions to be larger. Therefore, the improvement was relatively large in the short term, so the long-term curing ability would continue to increase.
7. Erosion Mechanisms
To explore the influence of IOT on the salt spray erosion resistance of RAC, an SEM analysis using the Hitachi S-4800 model at Chang’an University was carried out before and after the erosion took place and the degradation mechanisms were also studied.
Clusters of crystal products were formed at both 28 and 90 days of salt spray erosion. Under the same working conditions, the longer the erosion time, the more crystalline products were produced and the more obvious the cluster-like products were. Compared to the working conditions before erosion, the addition of RAC made the matrix structure relatively loose and also provided space for the formation, growth and development of chloride crystals. It was intuitively shown that the matrix structure of the concrete was covered by salt crystals due to the formation and physical expansion pressure of those salt crystals, meaning that the micro-cracks and harmful pores of the matrix structure were covered by salt crystals. At the same time, some connected fractures were gradually transformed into closed pores and harmful pores were further transformed into harmless pores. Meanwhile, when the erosion age was small, the mechanical properties and resistance to chlorine–salt erosion were slightly increased.
As shown in
Figure 8b,d,f, when the erosion age was higher (90 d), it could be seen that the pores and micro-cracks of the concrete matrix structure were significantly higher than those at lower erosion ages (28 d), which showed that when the erosion time was longer, the concrete matrix structure was destroyed by the accumulation of salt crystalline substances. The reason for this is that, on the one hand, the physical expansion of the chloride crystals that accumulated in the pores caused tensile stress in the matrix structure and made it easy to crack. On the other hand, both cement hydration and the generation of chloride crystals needed to consume free water, which resulted in adverse effects on the matrix structure due to water migration as the amount of free water in the concrete was relatively small. To sum up, the mechanical properties and durability of almost all working conditions with high erosion ages decreased to varying degrees, which was similar to the results of Xue [
34] and Yue [
35].
Combined with
Figure 8d,f,
Figure 9 shows the scanning microscopic morphology of SEM images of salt spray erosion on RAC with different tailings contents at 90 d.
Due to the introduction of recycled aggregate, when the IOT amount was small, a large number of pores appeared, as shown in
Figure 8c and
Figure 9a. On the periphery of the pores, cluster-like crystal products, flocculent CSH and needle-like ettringite could be found. These three features intersected with each other within the pores and were embedded around the micro-pores. The concrete was refined, which effectively improved its porosity and pore structure and enhanced its resistance to chloride ion erosion. It can be seen from
Figure 8b,e that there was still a small number of pores in the matrix structure, but they were relatively complete. As shown in
Figure 9c, when the IOT content was high, a large number of micro-cracks and micro-pores were generated in the matrix structure, which greatly affected the integrity of the matrix structure and reduced its mechanical properties and erosion resistance, as shown in
Figure 3a,
Figure 4a and
Figure 5. The main reason for this is that a small IOT content could promote hydration and fill pores, while excess additions changed the optimal mix proportion, increased porosity and caused the deterioration of each index.
8. Conclusions
In this paper, the mechanical properties, chloride ion concentration and chloride ion curing properties of recycled concrete with different IOT contents are analyzed at different salt spray ages (7 d, 14 d, 28 d and 90 d). The conclusions were as follows:
- (1)
At the same erosion age, when the content of iron tailings increased from 0% to 40%, the compressive strength of the concrete increased by 24.52% (0 d), 21.72% (7 d), 18.86% (14 d), 18.82% (28 d) and 19.60% (90 d), indicating that the higher the tailings content, the greater the compressive strength. However, when the tailings content was too high (>40%), it had the opposite effect. With the increase in erosion age, the compressive strength first increased and then decreased with a peak at 14–28 d. When the content of tailings was lower (≤40%), the splitting tensile strength increased and then decreased rapidly. The effect of erosion age on splitting tensile strength was less than that on compressive strength;
- (2)
The salt spray erosion resistance of RAC was much lower than that of NAC and when the IOT content was 30–40%, the salt spray erosion depth reached its lowest point;
- (3)
The higher the salt spray erosion age, the greater the corresponding growth coefficient. When the dosage of IOT was 30%, 40% and 50%, the curing coefficient at 90 d was 2.75%, 15.79% and 18.29% higher than that at 28 d, respectively. At the same erosion age, the ratio of free chloride ions to total chloride ions changed linearly and its curing coefficient K1 first decreased and then increased, with the optimum IOT content being 30–50%;
- (4)
Through SEM microscopic morphology, it could be concluded that when the erosion age was low, the formation of salt crystals and the effect of physical expansion pressure caused porosity to decrease. When the erosion age was higher, the cumulative expansion of crystals made them decrease in size. When added together, the crystallization and hydration products grew and developed in the micro-pores. When added excessively, the optimal mix ratio of the concrete changed, harmful pores and cracks were generated and resistance to salt spray erosion was reduced.
Author Contributions
Conceptualization, J.X. and S.W.; Data curation, T.L. and M.Z.; Formal analysis, J.X.; Investigation, M.Z.; X.C. and F.X.; Methodology, J.X.; Project administration, J.X.; Resources, J.X.; Software, T.L.; Supervision, J.X.; Validation, J.X.; Visualization, T.L., M.Z., X.C. and F.X.; Writing—original draft, J.X.; Writing—review & editing, T.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Natural Science Foundation of China (grant number 51678480), the Ministry of Education Cooperative Education Project (grant number 201802308007), the Key Research and Development Program of Shaanxi (grant number 2021SF-521), the Natural Science Foundation of Shaanxi Province (grant number 2021JQ-844) and the Scientific and Technological Project in Henan Province (grant numbers 222102320311 and 222102320199).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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