3.1 Analysis of Stress Characteristic Point Variations
While peak stress and elastic modulus can reflect the stability of the surrounding rock during engineering excavation, they cannot characterize the internal damage and microstructural changes within the rock. Therefore, by studying the stress damage thresholds (stress characteristic points) at each stage of rock compression, the internal damage and microstructural characteristics of granite under the influence of cyclic temperature and cracks can be determined.
Currently, methods for calculating the stress cracking point include the volumetric strain method[15], acoustic emission method[16], lateral strain difference method[17], and dissipated energy rate method[18]. Most scholars believe that the energy generated during the compression of rock is directly related to its deformation and failure[19]. Therefore, when determining stress characteristic points, the point at which the elastic energy rate reaches its maximum under axial pressure is defined as the closure stress (σcc). Afterward, as axial pressure continues to increase, the rock enters a period of calm crack development, where the dissipated energy decreases linearly. The end of this linear development of dissipated energy is defined as the crack initiation stress (σci)[20]. After this, the cracks within the rock enter an unstable stage, and the proportion of dissipated energy increases. When damage fully develops, the dissipated energy rate reaches a minimum, thereby determining the damage stress (σcd)[21]. As can be seen from the above analysis, from the perspective of energy dissipation, the evolution of cracks and determination of stress characteristics have a solid theoretical background. Therefore, the dissipated energy rate method is selected to calculate the characteristic stress points, which allows for accurate determination of these points during the compression of rock specimens[22]. The specific calculation method and determination of characteristic points are as follows:
The total energy of the rock can be calculated using the following expression:
$${U_0}={U_{\text{e}}}{\text{+}}{U_{\text{d}}}{\text{=}}\int {{\sigma _{{\text{1i}}}}{\text{d}}{\varepsilon _{\text{1}}}{\text{=}}\sum\limits_{{{\text{i=1}}}}^{{\text{n}}} {\frac{{\text{1}}}{{\text{2}}}} } \left( {{\sigma _{{\text{1i}}}}{\text{+}}{\sigma _{{\text{1i-1}}}}} \right)\left( {{\varepsilon _{1{\text{i}}}} - {\varepsilon _{1{\text{i}} - 1}}} \right)$$
1
Where U0 is the total energy generated by the failure of rock per unit volume (kJ·m− 3); Ue is the elastic energy (kJ·m− 3); Ud is the dissipated energy (kJ·m− 3); σ1i and σ1i−1 are the stresses at the time of collection (MPa); ε1i and ε1i−1 are the axial strains at the time of collection; and i is the collection sequence.
The elastic energy Ue in Eq. (1) can be calculated using the following formula:
$${U_e}=\frac{1}{2}{\sigma _1}\varepsilon _{1}^{e} \approx \frac{{\sigma _{1}^{2}}}{{2{E_0}}}$$
2
Where σ1 is the principal stress (MPa); and E0 is the initial elastic modulus (GPa).
$${U_d}={U_0} - {U_e}=\sum\limits_{{{\text{i=1}}}}^{{\text{n}}} {\frac{{\text{1}}}{{\text{2}}}} \left( {{\sigma _{{\text{1i}}}}{\text{+}}{\sigma _{{\text{1i-1}}}}} \right)\left( {{\varepsilon _{1i}} - {\varepsilon _{1i - 1}}} \right) - \frac{{\sigma _{1}^{2}}}{{2{E_0}}}$$
3
The dissipated energy Ud generated by rock compression in Eq. (1) can be calculated using the following formula:
$${U_d}={U_0} - {U_e}=\sum\limits_{{{\text{i=1}}}}^{{\text{n}}} {\frac{{\text{1}}}{{\text{2}}}} \left( {{\sigma _{{\text{1i}}}}{\text{+}}{\sigma _{{\text{1i-1}}}}} \right)\left( {{\varepsilon _{1i}} - {\varepsilon _{1i - 1}}} \right) - \frac{{\sigma _{1}^{2}}}{{2{E_0}}}$$
3
An example of the determination of characteristic stress points using dissipated energy is shown in Fig. 4.
Characteristic stress points are thresholds in the development stage of rock damage. The ratio of characteristic stress to peak stress can indicate the extent of internal damage in the rock. The larger the ratio, the greater the proportion of total damage at that stress threshold. The ratio of closure stress to peak stress σcc/σm represents the development extent of pore closure during rock compression[23]. The ratio of crack initiation stress to peak stress σci/σm is significantly affected by internal defects and can serve as a criterion for rock integrity[24]. The ratio of damage stress to peak stress σcd/σm directly reflects the long-term strength of the rock and indicates the stage where cracks within the rock enter instability[25]. The experimental results of characteristic stress and the ratio of characteristic stress to peak stress under temperature cycles are shown in Table 1 and Fig. 5.
Table 1
Characteristic stress values and ratios of crack-containing granite under the action of temperature cycling
Angle
|
Temperature
|
Characteristic stress value(MPa)
|
Characteristic stress/peak stress
|
σcc
|
σci
|
σcd
|
σm
|
σcc/σm
|
σci/σm
|
σcd/σm
|
0°
|
30
|
3.81
|
51.18
|
165.2
|
182.29
|
2.09℅
|
28.07%
|
90.62%
|
50
|
1.03
|
48.95
|
165.03
|
176.88
|
0.58%
|
27.67%
|
93.59%
|
70
|
1.67
|
74.04
|
173.8
|
185.16
|
0.905℅
|
39.99%
|
93.86%
|
100
|
1.97
|
54.49
|
157.37
|
166.98
|
1.18%
|
32.63%
|
94.24%
|
130
|
4.52
|
32.49
|
102.07
|
111.88
|
4.043%
|
29.03%
|
91.22%
|
45°
|
30
|
2.21
|
47.90
|
171.35
|
183.25
|
1.20%
|
26.14%
|
93.50%
|
50
|
0.83
|
44.07
|
157.73
|
173.63
|
0.47%
|
25.43%
|
90.84%
|
70
|
4.81
|
50.82
|
157.18
|
168.19
|
1.36%
|
30.21%
|
93.55%
|
100
|
2.55
|
40.93
|
135.03
|
145.32
|
1.759%
|
28.16%
|
92.92%
|
130
|
1.00
|
24.68
|
97.56
|
112.64
|
1.88%
|
21.91%
|
90.61%
|
90°
|
30
|
3.03
|
48.84
|
170.33
|
185.32
|
1.63%
|
26.35%
|
91.91%
|
50
|
2.97
|
38.37
|
144.98
|
156.49
|
1.54%
|
24.52%
|
92.64%
|
70
|
1.44
|
54.68
|
142.53
|
157.45
|
0.91%
|
34.73%
|
90.52%
|
100
|
5.90
|
50.63
|
140.66
|
161.31
|
3.68%
|
31.58%
|
90.74%
|
130
|
0.55
|
30.83
|
106.54
|
117.21
|
3.47%
|
26.30%
|
90.90%
|
From Fig. 5(a), it is observed that the σcc/σm of cracked granite specimens decreases first and then increases with temperature rise for the same crack angle. The fluctuation range of σcc/σm with crack angle variation is within 2%, indicating that temperature has a significant effect on σcc/σm, while the crack angle has a minimal impact. Figure 5(b) shows that σci/σm of cracked granite increases first and then decreases with temperature rise for the same crack angle, with a maximum at 70 ℃. At the same temperature, σci/σm decreases first and then increases with the increase of crack angle, with a larger fluctuation at a 0 ° crack angle, with variation values of 15.46% and 12.33%. Figure 5(c) shows that while temperature and crack angle affect the σcd/σm of cracked granite, the pattern is not evident, with a variation range of about 3% σm. This is because σcc/σm, σci/σm, and σcd/σm are significantly influenced by internal pores, prefabricated cracks, natural cracks, the overall structure, and chemical properties of the rock. Compared to crack angle, temperature changes have a more significant impact on the overall structure of the rock.
3.2 Analysis of Acoustic Emission Parameters
The variation trends of rock mechanical properties can only qualitatively describe the impact of internal defects on rock damage and failure. However, it is difficult to quantitatively analyze the number of internal cracks and the severity of crack development during compression. Acoustic emission (AE) ringing represents the change in the number of internal cracks during rock loading, and AE energy describes the extent of crack propagation. Additionally, the fluctuation of the AE b-value can directly reflect the degree of internal damage development in the specimen[26], and the sudden drop point of the b-value can serve as a characteristic parameter indicating rock failure[27]. A smaller b-value suggests more severe development of microcracks within the rock. Therefore, by introducing AE ringing, AE energy, and AE b-value analyses, the damage and failure evolution within the rock can be studied. The b-value is calculated using the following formula:
$$\lg N={\text{a-b}}M$$
4
In the equation, M represents the magnitude, which is calculated as the amplitude of acoustic emission divided by 20. N denotes the number of occurrences within the range of M, typically representing the number of impacts exceeding the acoustic emission amplitude. a is a constant, usually defined based on the type of rock, and b is the ratio of small amplitude events to large amplitude events[28].
After cyclic temperature effects, the changes in acoustic emission ringing, energy, b-value, and stress-strain curves during the compression process of granite specimens with different crack angles are shown in Fig. 6. The characteristic stress points and b-value drop points in the rock compression process are marked. In Fig. 6(a), 66% σm represents the stress percentage at the point where the acoustic emission b-value drops, and "30 − 0" means the specimen temperature is 30 ℃ with a crack angle of 0 °. The other numbers in the figures have similar meanings.
From Fig. 6, it can be seen that under different temperatures, the magnitude of the acoustic emission b-value first increases and then decreases with the increase of the crack angle. There is no significant change in the b-value during the σcc/σm stage, while during the σcc-σci stage, the b-value rises continuously and reaches its maximum, indicating that a large number of microcracks appear inside the rock in this stage, but the degree of crack development and penetration is low. When the specimen enters the σci-σm stage, the b-value fluctuates and decreases, indicating that microcracks develop rapidly until macroscopic cracks form, leading to complete rock failure and the b-value reaching its minimum. At the same temperature, as the crack angle increases, the average b-value drop point decreases from 80%σm (0 ° prefabricated crack) to 60% σm (45° prefabricated crack) and then increases to 75%σm (90 ° prefabricated crack), with fluctuations in the b-value drop point. This indicates that the prefabricated cracks influence and guide the development of internal cracks in the rock, significantly enhancing the intensity of internal damage development and leading to the early formation of large-scale cracks. At the same crack angle, the change in the b-value drop point with increasing temperature is not obvious, indicating that the temperature has little impact on the formation of large-scale cracks inside the specimen.
Furthermore, Fig. 6 shows that under temperatures of 30 ℃, 50 ℃, and 70 ℃, the acoustic emission ringing and energy distribution of each crack angle advance significantly with increasing temperature. Under 100 ℃ and 130 ℃, the acoustic emission ringing and energy distribution of the 0° crack first delay and then advance with increasing temperature, while for the 45 ° and 90 ° cracks, they continuously delay with increasing temperature, with the 90 ° crack showing a significant delay. This indicates that temperature has a considerable impact on the pores and natural cracks inside the rock, affecting the distribution of acoustic emission ringing and energy in the early stages of compression, and that crack angle can guide the development of internal cracks. Therefore, both temperature and crack angle have significant effects on the distribution of acoustic emission ringing and energy in the specimen.
To quantitatively analyze the variation pattern of acoustic emission parameters under the influence of cyclic temperature and crack angle, the trends in cumulative ringing count and total energy of granite with cracks under the influence of temperature and crack angle are shown in Fig. 7.
From Fig. 7, it can be seen that with increasing cyclic temperature, the cumulative ringing count and total energy of granite with cracks first increase, then decrease, and increase again, reaching a minimum at 70 ℃. At the same temperature, the cumulative ringing count and total energy of acoustic emission first decrease and then increase with increasing crack angle, with a minimum at 45 °. The above analysis shows that under the same temperature, the cumulative ringing count and total energy of the specimen with a 45 ° crack angle are the smallest, indicating that the 45° crack angle facilitates the guidance of rock damage and failure. The internal microcracks in the rock quickly merge to form large cracks, while the guidance of internal crack development is significantly reduced in specimens with 0 ° and 90 ° cracks. As a result, large-scale cracks cannot form quickly, leading to better crack development and a significant increase in cumulative ringing count and total energy.
3.3 Analysis of Damage Development Characteristics
The acoustic emission b-value, cumulative ringing, total energy, and energy distribution can indicate the intensity, total amount, and distribution of damage influenced by cyclic temperature and prefabricated cracks. However, a quantitative analysis of the damage development process during the compression of rocks is still lacking. Therefore, a damage variable is introduced to further quantitatively analyze the damage development characteristics of granite with cracks under cyclic temperature. The sudden increase in the damage variable represents the large-scale initiation of microcracks inside the specimen[29].
The damage variable can be defined as:
$$D=\frac{{{N_{\text{d}}}}}{{{N_{\text{m}}}}}$$
4
Where Nd represents the cumulative ringing count of acoustic emission at time d from the start of the axial compression test, and Nm represents the cumulative ringing count of acoustic emission at the end of the axial compression test. Based on the above calculation, the damage variables of granite under cyclic temperature and crack angle were calculated, and the results are shown in Fig. 8. In Fig. 8(a), "30 − 0" indicates that the specimen temperature is 30 ℃ and the crack angle is 0 °, with the same meaning for the other values.
From Fig. 8, it can be seen that the damage variable of each specimen under different conditions shows a trend of slow development, followed by rapid growth, and finally stable development. There is no significant change in the damage variable during the 0-σci stage; however, during the σcc-σci stage at 70 ℃, the damage variable increases significantly, indicating a rapid increase in the number of microcracks inside the specimen during this stage, leading to an early development of damage. The σci-σm stage is the phase where the damage variable rises sharply, indicating the initiation, expansion, and continuous accumulation of microcracks inside the specimen until the specimen reaches σm, where the damage variable approaches its maximum value of 1, and macroscopic cracks penetrate the specimen, leading to instability and failure. Under the same temperature, the damage variable of the granite specimen with a 45 ° crack increases earlier, and when the stress reaches σcd, the damage variable of the 45 ° crack specimen reaches above 0.8. The damage variable develops rapidly during the σci-σcd stage, indicating that after reaching σci, the internal cracks of the 45 ° crack specimen develop rapidly, with the 45 ° crack significantly enhancing the guidance of microcracks inside the specimen.
To further analyze the damage proportion in each characteristic stress stage under the influence of cyclic temperature and crack angle, the trend of damage proportion in each characteristic stress stage of granite under the influence of cyclic temperature and crack angle is shown in Fig. 9.
From Fig. 9, it can be seen that under cyclic temperatures of 30 ℃ and 50 ℃ and different prefabricated crack angles, the maximum damage proportion is almost entirely concentrated in the σci-σcd stage, indicating that at these temperatures, the internal microcracks of the granite specimen initiate and expand rapidly from the crack initiation stress to the damage stress stage, leading to accelerated specimen damage. However, after the cyclic temperature exceeds 70 ℃, the damage proportion begins to show dispersed distribution, and the higher the temperature, the greater the dispersion of the damage proportion, indicating that the thermal damage effect inside the specimen becomes more evident after 70 ℃. This conclusion is consistent with that of section 4.1.
3.4 Analysis of Damage Fractal Characteristics
Fractal dimension, as a mathematical tool for analyzing irregular objects, can quantitatively describe irregular objects to reveal their intrinsic relationships. The crack development process during rock compression follows a nonlinear pattern with regularity. To describe the intrinsic relationships of this nonlinear process, the fractal dimension can be used for analysis.
To further analyze the damage distribution during the granite specimen's damage development process, the correlation dimension of the acoustic emission ringing count is introduced to characterize the chaos degree of the damage distribution within the rock[30, 31]. This approach is used to explore the influence of cyclic temperature and crack inclination on the damage distribution and development patterns within the rock at various stages. The correlation dimension calculation considers the acoustic emission ringing counts of granite specimens under compression during four stages: 0-σcc, σcc-σci, σci-σcd, and σcd-σm, with each stress stage being treated as a separate time window for analysis, leading to the calculation of the fractal dimension D.The calculation method is as follows:
The G-P correlation dimension is determined by first constructing a phase space using a sample of acoustic emission ringing counts n and forming an m-dimensional space (m < n ) as follows:
$$X=\left[ {{x_1}{x_2}x \cdots {x_n}} \right]$$
5
Where the first vector X1 is created by taking the first m elements of the time series of the ringing counts. A phase space of dimension m is then constructed by sequentially selecting elements at intervals, leading to N = n - m + 1 vectors:
$${X_{\text{i}}}=\left[ {{X_i},{X_{i+1}} \cdots {X_{i+m - 1}}} \right]$$
6
The G-P function is then defined as:
$${C_m}\left( r \right)=\frac{1}{{{N^2}}}\sum\limits_{i}^{N} {\sum\limits_{i}^{N} {H\left[ {r - \left\| {{X_i} - {X_j}} \right\|} \right]} }$$
7
Where C is the correlation function, H is the Heaviside function, and r is a scale factor. The correlation dimension D is then given by:
$$H=\left\{ \begin{gathered} 0,x<0 \hfill \\ 1,x \geqslant 0 \hfill \\ \end{gathered} \right.$$
8
$$r\left( k \right)=k\frac{i}{{{N^2}}}\sum\limits_{{i=1}}^{N} {\sum\limits_{{j=1}}^{N} {\left| {{X_i} - {X_j}} \right|} }$$
9
The equation includes the observational coefficient k, which is typically chosen between 10 and 20, to determine the value of r within a certain interval, thereby obtaining the correlation dimension D. The expression for D is as follows:
$$D=\mathop {\lim }\limits_{{r \to 0}} \frac{{\ln C\left( r \right)}}{{\ln r}}$$
10
Based on the G-P correlation dimension model calculation described above, the computed data points {lnr, lnC} were linearly fitted. The closer the fit to a straight line, the more fractal characteristics the data set exhibits. In this study, each stress stage during the compression of the specimen was treated as an interval, and the minimum embedding dimension m = 1 was chosen for a single calculation. By fitting 15 {lnr, lnC} calculation points, the fitting interval of the data was determined to be between 93% and 99%, indicating that the ringing count of the granite specimen under the influence of temperature and crack angle exhibits fractal characteristics across the four stages of 0-σcc、σcc-σci、σcd-σm、σm-post-peak.
Using this model, the ringing counts under different stress stages were calculated for the granite specimens subjected to varying cyclic temperatures and crack inclinations. The results are shown in Fig. 10.
Analysis of Fig. 10, it is observed that under the same crack inclination, the correlation dimension D exhibits a trend of first decreasing, then increasing, and finally decreasing again with increasing temperature. This indicates that the internal damage development in the rock initially becomes more ordered, then less ordered, and finally more ordered again, with the maximum correlation dimension occurring at 70 ℃, which acts as a turning point for temperature. For the same temperature, the impact of crack inclination on the correlation dimension D is not significant during the 0-σcc stage. However, during the σcc-σci, σci-σcd, and σcd-σm stages, the fluctuation in D with increasing crack inclination decreases from 0.19 (0 °) to 0.12 (45 °) and then increases to 0.39 (90 °).
This suggests that at 70 ℃, the distribution of microcracks within the specimen is chaotic and disordered, unable to form a clear development trend. The fluctuations in D during the σcc-σci, σci-σcd, and σcd-σm stages are more significant under 0 ° and 90 ° crack inclinations due to poor guidance of internal crack development, leading to dispersed damage development and less distinct crack growth paths.