4.1. Basic Mechanical Properties
Table 8 presents the compressive strength and splitting tensile strength values of concrete cubes with different nano-TiO
2 dosages obtained from experiments. The compressive strength values are reduced by a factor of 0.95, while the splitting tensile strength values are reduced by a factor of 0.85.
Figure 5 and
Figure 6 present the compressive strength and splitting tensile strength of concrete cubes at different nano-TiO
2 dosages.
As shown in the figure above, at a low temperature of 5 °C, the strength development patterns of concrete exhibit consistent trends across different admixture dosages. Specifically, concrete strength increases rapidly during the early stages, with the strength at 1 day reaching nearly half of the strength at 28 days. At the 1-day age, the compressive strength under standard conditions had reached 39% of the 28-day strength, while the tensile splitting strength had reached 47% of the 28-day strength. Regarding compressive strength, the development patterns of nano-TiO2 at different dosages at 1 d, 2 d, 3 d, and 7 d exhibited a “peak-shaped” curve. Specifically, the JZ-DW condition showed the lowest strength, which increased sharply after adding 1% nano-TiO2, and then the strength improvement effect began to decline as the dosage increased. After the 28-day age, the strength differences among various admixture dosages decreased and generally converged. For splitting tensile strength, at the 1-day, 2-day, and 3-day ages, the 1NT-DW dosage consistently exhibited the highest strength among all admixture conditions. Compared to the control condition, the 1NT-DW dosage showed increases of 25%, 23%, and 12%, respectively. By the 7-day and 28-day ages, the splitting tensile strengths began to converge.
In summary, the addition of nano-TiO2 enhances concrete strength in both compressive strength and splitting tensile strength compared to the baseline condition. This improvement is particularly pronounced during the early-age stage, with the strengthening effect gradually diminishing after 28 days. Among all dosage scenarios, a 1% nano-TiO2 content yields the most significant enhancement in concrete mechanical properties under low-temperature conditions.
4.3. Differential Thermal Analysis
As shown in
Figure 8, the DTA curves for each nano-TiO
2 loading also exhibits two distinct endothermic peaks.
Figure 8a and
Figure 8b represent the curves for 1-day and 7-day aged samples, respectively. The figures indicate that the area of the Ca(OH)
2 endothermic peak gradually increases with aging duration.
Figure 9 shows the heat absorption peak areas of Ca(OH)
2 at different ages under the influence of nano-TiO
2 addition. As seen in the figure, the heat absorption peak area of Ca(OH)
2 continuously increases with age under low-temperature conditions. The expansion rate is relatively rapid before the 3-day age, gradually slowing down thereafter.
At the 1 d aging stage, the figure shows that the heat absorption peak area of Ca(OH)2 for the nano-TiO2 addition condition is larger than that for the non-addition condition. Moreover, the heat absorption peak areas for TiO2 addition levels of 1%, 2%, and 3% are consistent. Compared to the unmodified condition, the heat absorption peak area increased by 36% with 1% TiO2 content, by 32% with 2% TiO2 content, and by 39% with 3% TiO2 content. At the 3-day age, the heat absorption peak area of Ca(OH)2 under nano-TiO2 addition conditions remained larger than that under non-addition conditions. The heat absorption peak areas for 1%, 2%, and 3% addition levels increased by 17%, 18%, and 18%, respectively, compared to the non-addition condition. By the 7-day age, the increases in heat absorption peak area for 1%, 2%, and 3% additions decreased to 12%, 16%, and 11%, respectively. At the 28-day age, the heat absorption peak area of Ca(OH)2 with nanomaterial additions was actually smaller than that of the non-added control.
In summary, the incorporation of nano-TiO2 further accelerates the early-stage hydration reaction of cement, with the effect being more pronounced at the 1-day age. As the dosage gradually increases, the Ca(OH)2 content in the hydration products remains essentially unchanged, indicating that beyond a 1% dosage, further increases have a negligible impact on enhancing the cement hydration reaction. It can be seen that the pattern of promoting cement hydration by the dosage does not align with the strength pattern. The primary reason lies in the fact that in concrete, a higher dosage leads to an excess of nano-TiO2, and this excess nano-TiO2 forms small agglomerates, thereby exerting a negative effect on strength. However, for cement paste, where higher dosages are used, the small agglomerates formed by nano-TiO2 do not affect the relevant hydration rates. Therefore, beyond a dosage of 1%, the rate of hydration changes less rapidly as the dosage increases.
4.4. Microscopic Pore Structure Characteristics
Figure 10 shows cross-sectional images of the pore structure in concrete at the 1-day age with different nano-TiO
2 dosages. Each set of images displays 100, 200, 300, 400, 500, and 600 cross-sectional images from left to right. Comparing the JZ-DW, 1NT-DW, 2NT-DW, and 3NT-DW conditions reveals that after modification with nano-TiO
2, the pore distribution in the concrete becomes more regular, and the number of pores decreases. Cross-sectional views of the pore structures at different nano-TiO
2 loading levels show minimal variation, with no significant distinction in pore count or pore size. This indicates that incorporating nano-TiO
2 effectively optimizes pore distribution and reduces pore density. However, distinguishing the pore structures at different nano-TiO
2 loadings through cross-sectional analysis alone is challenging and requires further investigation.
To further characterize the pore structure parameters of concrete at the microscopic scale under various admixture dosages, this study employs Sypi Core digital core software to analyze the pore network model of the 3D volume constructed from CT scans. Internal pore features are extracted as similar topological structures using the software’s built-in maximum sphere algorithm, enabling quantitative analysis of pore structure parameters.
The core of the pore network model lies in representing geometrically complex pore structures as equivalent spatial configurations composed of simple geometric bodies. The primary algorithm employed in the software is the maximum sphere algorithm, a computational method applied to pore network modeling. This approach generally encompasses two concepts: maximum spheres and maximum sphere clusters. The construction of the maximum ball network model primarily involves two steps: first, establishing the inscribed spheres; second, removing redundant spheres. The mesh within the 3D digital rock core is termed voxels, representing the smallest volumetric units within the three-dimensional rock core. Starting from the pore voxels within the digital rock core and extending outward toward the skeletal voxels, the collective set of these extended bodies is referred to as the inscribed spheres. If the largest inscribed sphere exists within the same region, then all sub-inscribed spheres contained within this inscribed sphere are termed redundant spheres, and this largest inscribed sphere is termed the maximum sphere. Ultimately, the set of maximum spheres can characterize the entire pore space without redundancy. Subsequently, based on the radius and rank of the maximum spheres, a tree structure and clustering algorithm are employed to determine the pores and throats within the pore structure. Finally, the pore structure is segmented, and the dimensions of the pores and throats are calculated.
Figure 11 presents the three-dimensional pore network models for various TiO
2 nano-doses at the 1-day age. The image clearly shows that the JZ-DW concrete matrix is filled with pore spheres of varying sizes. Smaller pore spheres exhibit dense and widespread distribution, while larger pore spheres predominantly cluster around the cube centers. Comparing the pore network models of conditions 1NT-DW, 2NT-DW, and 3NT-DW with JZ-DW reveals that nano-TiO
2 addition also reduces the number and density of pore spheres within the concrete. Among the three dosages, condition 1NT-DW exhibits the fewest small pore spheres and the lowest overall pore sphere distribution density. The 2NT-DW and 3NT-DW conditions exhibit higher numbers of pore spheres and greater distribution densities. In summary, based on the ranking of effectiveness in influencing pore structure distribution, the 1% nano-TiO
2 dosage yields the optimal results among the different dosages tested.
Table 9 presents the calculated micro-pore parameters of the pore network model at various admixture dosages. As shown in the table, the micro-pore volume fraction of JZ-DW concrete at 1 day was 2.74%. After nanomaterial addition, the micro-pore volume fraction decreased significantly: 1NT-DW, 2NT-DW, and 3NT-DW concrete exhibited micro-pore volume fractions of 1.50%, 2.22%, and 1.98%, respectively. with 1NT-DW exhibiting the lowest micro-pore volume fraction, followed by 3NT-DW. Compared to JZ-DW, the pore volumes decreased by 45%, 19%, and 28%, respectively. This demonstrates that under low-temperature conditions, the unique “nano-effect” of nanomaterials significantly optimizes the pore structure of concrete during the early age. Similar patterns can be observed by analyzing other parameters in the pore network model.
In summary, the incorporation of nanomaterials significantly improves the pore structure of concrete at the 1-day age. Among the various TiO2 nano-dispersions tested, the 1% dosage yielded the most favorable results in terms of pore structure enhancement.
To further characterize the connectivity of micro-pores in concrete at different admixture dosages, this study performs a connected pore domain analysis on the three-dimensional concrete volume after threshold segmentation. First, connected pores are classified into four categories (
Figure 12: Schematic Diagram of Connected Pore Classification): Level 1 connected pores, representing pores connected to one surface of a cube; Level 2 connected pores, representing pores connected to two adjacent surfaces of a cube; and Level 3 connected pores, representing pores connected from one surface to the opposite surface. The connected domain analysis software employed in this study is Connected Pores, which enables quantitative evaluation of the number of pores, equivalent diameter, and connectivity level within the three-dimensional volume.
Figure 13 shows the connectivity domain analysis of nano-TiO
2 at different dosages at the 1-day age. To facilitate distinguishing connectivity domains of different levels, connectivity pores of levels 0, 1, 2, and 3 are labeled as black, gray, white, and brown, respectively. The figure reveals that compared to concrete without nanomaterial addition, the incorporation of nanomaterials significantly alters the internal connectivity domain structure. The distribution of connected pores becomes more dispersed, with a marked reduction in all connectivity levels, particularly in zero-level and first-level connected pores.
Table 10 presents the connectivity porosity levels for different TiO
2 nano-dispersions after connectivity domain analysis. The table indicates that Level 0 connectivity porosity accounts for the highest proportion across all connectivity pores. Simultaneously, the porosity decreases to varying degrees with increasing nanomaterial content. Under JZ-DW conditions, Level 0 connectivity porosity is 2%, constituting 72.9% of the total connectivity porosity across all four categories. For the 1NT-DW, 2NT-DW, and 3NT-DW conditions, the zero-level connected porosity was 1.11%, 1.59%, and 1.44%, respectively, representing reductions of 44%, 21%, and 28% compared to the JZ-DW condition. Level 1 interconnected pores constitute the second-largest proportion of total interconnected pores after Level 0. Their porosity variation pattern with nanomaterial addition aligns with that of Level 0 interconnected pores. Level 2 interconnected pores exhibit an extremely low proportion compared to Levels 0 and 1. Their porosity remains relatively stable at approximately 1.0% across all nanomaterial dosages. Level 3 interconnected pores exhibited 0% porosity across all nanomaterial dosages, indicating the absence of pore networks connecting opposing surfaces of the cube within the concrete at the early 1-day age.
In summary, Level 0 connected pores constitute a significant proportion in the microporous structure of concrete, while Levels 1, 2, and 3 connected pores account for a smaller proportion. With the incorporation of nanomaterials, the connectivity of the concrete microstructure decreases. Among different TiO2 nano-filler dosages, the 1% dosage exhibits the lowest connectivity. The addition of NT directly affects the porosity of zero-level and first-level connected pores, while having a minor impact on second-level and third-level connected pores. This indicates that nanomaterials primarily affect the numerous isolated zero-level interconnected pores within the concrete and some surface-connected Level 1 interconnected pores, thereby reducing the overall connectivity of the concrete. As the dosage increases, the connectivity of concrete pores decreases. One reason for this is that nanomaterials require an appropriate dosage, which is highly effective for uniform particle dispersion and pore filling.