Dynamic tensile strength and fracture evolution of characteristic shale with bedding and hole using linear regression theory

Abstract

In methane in situ explosion fracturing technology, it is critical to investigate the effects of bedding characteristics and perforation holes on the dynamic mechanical properties and fracture behavior of shale reservoirs. Dynamic Brazilian splitting experiments were conducted to investigate the effects of the bedding angle and the central aperture on the dynamic mechanical properties and fracture behavior of shale disc samples with a central hole using a modified split Hopkinson pressure bar device, a three-dimensional digital image correlation system, and high-speed photography. Multiple regression analysis was used to evaluate the influence on the dynamic tensile strength, while fracture evolution characteristics, including area and morphology, were selected to quantify fracture complexity. The results showed that the bedding angle exerted a more pronounced effect on the tensile strength compared to the central aperture, and increasing impact pressure amplified both effects. Tensile fractures predominated across varying bedding angles, while larger central apertures promoted shear fracture formation. The bedding plane facilitated the expansion of shear fractures in its direction, while the central hole primarily guided fracture propagation along the bedding plane. Fracture initiation occurred at the central hole's edge, with subsequent propagation influenced by both the bedding angle and the central aperture. Higher impact pressures resulted in a significant increase in the fracture area, with 90° bedding and larger apertures (8 and 10 mm) resulting in larger areas. These findings provide essential theoretical guidance for constructing efficient shale reservoir fracture networks in methane in situ explosion fracturing, particularly for applications in deep shale formations.

Highlights


  • Dynamic tensile strength was determined for shale samples with varying bedding angles, central apertures, and impact pressures.

  • Multivariate regression analysis revealed the combined effects of three factors on dynamic tensile strength.

  • Fracture evolution was analyzed using high-speed photography and three-dimensional digital image correlation, detailing initiation, propagation, and mode transitions.

  • Fracture complexity evaluation was evaluated based on fracture area and morphology, showing the impact of different experimental conditions.


1 INTRODUCTION

The shale gas revolution has significantly influenced the international natural gas market and the global energy landscape (Bilgen & Sarıkaya, 2016; Engelder & Zevenbergen, 2018). As the cleanest fossil energy, shale gas is considered a “bridge” for transitioning from fossil energy to new energy sources (Li, Luo, et al., 2024; Lisjak et al., 2024). The development of shale gas is of great significance for promoting technological progress in China, optimizing the energy structure, and ensuring energy security (Huang et al., 2023; Wang et al., 2023a; Zhao, Ren, et al., 2022). Methane in situ explosion fracturing technology is an innovative fracturing technique that generates high-temperature and high-pressure gases by mixing methane with accelerants within the shale reservoir, thereby creating a three-dimensional fracture network that provides efficient migration pathways for shale gas (Li et al., 2023; Wang et al., 2024a). Compared to traditional hydraulic fracturing technology, methane in situ explosion fracturing involves not only dynamic impact but also the combined effects of factors such as bedding angle and hole defects, which increase the complexity of shale's dynamic mechanical properties and fracture propagation characteristics. Existing studies have primarily focused on the individual effects of bedding angle or central aperture on shale's mechanical properties and fracture propagation, but limited research has been conducted on the synergistic effects of these factors under dynamic loading. The objective of this study is to investigate the combined influence of bedding angle, central aperture, and impact pressure on the dynamic tensile strength and fracture evolution characteristics of shale, thereby offering a theoretical foundation for a deeper understanding of shale failure behavior in this novel fracturing technology.

Rock mass structural defects significantly affect various mechanical properties, with weak structural defects having a pronounced influence on rock mass deformation and failure (Chen et al., 2023; Yiouta et al., 2023). The presence of defects in deep shale complicates its dynamic mechanical properties and fracture characteristics during blast fracturing. Therefore, experimental research on the dynamic response of defective deep shale is essential. Previous studies have indicated that dynamic fracture propagation under blast loading is primarily associated with tensile stress within the rock mass (Liang et al., 2024; Lisjak et al., 2024; Qian et al., 2024; Wang, Zhai, Shao, et al., 2023). Consequently, this paper focuses on dynamic tensile strength as the principal research object for the dynamic mechanical properties of deep characteristic shale. The weakening effects of holes and bedding planes on tensile strength and fracture propagation characteristics are significant. Bai et al. (2016) and Yang et al. (2019) found that prefabricated holes greatly affect the mechanical properties and failure modes of rocks. Li et al. (2016, 2018) conducted Brazilian splitting studies on marble with prefabricated holes using experiments and numerical simulations. The results showed that the tensile strength and fracture propagation features of marble are related to the size of the central aperture. Wu et al. (2020, 2021) performed dynamic splitting tests on prefabricated central hole disc sandstone samples and observed a double-peak phenomenon in the peak stress–time curve. They concluded that the peak tensile strength of sandstone was weakened by the presence of the central hole, and this weakening became more pronounced as the diameter of the central hole increases. Due to the influence of complex tectonic movements, rocks such as sandstone (He et al., 2019; Wasantha et al., 2014), shale (Chen et al., 2020), mudstone (Wang et al., 2020), and phyllite (Chen et al., 2019; Xu, He, Yan, et al., 2019; Xu, He, Yang, et al., 2019) show strong anisotropic mechanical properties under the action of bedding planes. Li, Luo, et al. (2024) utilized 3D-DIC technology and numerical simulation to investigate the influence of the bedding angle on fracture propagation modes and fracture characteristics. The results showed that under the same impact pressure, bedding angles of 30°, 45°, and 60° showed distinct guiding effects on shale fracture propagation, and the dynamic fracture toughness increased with the loading rate. Through tensile tests, Meng, Jing, Sun, et al. (2022), Meng, Jing, Zhou, et al. (2022) concluded that the tensile strength increased with the bedding angle, and the failure mode gradually shifted from central failure to failure along the bedding plane. Zhao, Wang, et al. (2022) established a failure criterion for the tensile fracture mechanism along the weak bedding plane, showing that the existence of bedding promoted fracture propagation along the bedding plane. Wu et al. (2020) investigated the effects of different bedding angles and dynamic loads on the mechanical properties of samples, obtaining their dynamic tensile strength and corresponding failure criteria. Fan et al. (2021) used the split Hopkinson pressure bar (SHPB) system to study the dynamic response of shale under varying bedding angles and found that the mechanical properties of samples with different bedding angles showed obvious anisotropy. Furthermore, they observed that changes in the bedding angle significantly impacted the fracture propagation law and the final failure mode. Huang et al. (2020) discovered that larger bedding spacing enhanced the anisotropy of mechanical properties, with fracture mode primarily controlled by bedding strength and spacing. Shi et al. (2018) established an anisotropy index to describe the tensile strength anisotropy at a specific loading rate, which decreased as the loading rate increased. In summary, most previous studies have been limited to the influence of either the bedding angle or the central aperture on dynamic tensile strength and fracture evolution characteristics. However, investigations into the combined effects of these factors were scarce, and their respective impacts on tensile strength and fracture evolution characteristics remained unclear.

Multiple linear regression (MLR) is a widely used statistical technique for modeling the relationship between multiple independent variables and a dependent variable (Jensen, 2001; Korkmaz, 2021). The principal advantage of MLR lies in its ability to simultaneously assess the impact of several factors, providing a comprehensive understanding of their interactions and relative importance in influencing the dependent variable. By minimizing the sum of squared errors, MLR generates a linear model capable of both predicting outcomes and help interpret the influence of various predictors on the target variable. Importantly, MLR enables the quantification of contributions from each factor, even when they are interrelated, making it a powerful tool for multivariate analysis. Its capability to model complex real-world phenomena involving multiple interacting factors is well documented. For example, Bijan Afrasiabian et al. (2022) selected three mechanical parameters, unconfined compressive strength (UCS), Brazilian tensile strength (BTS), and elastic modulus (E), as input variables and used MLR to evaluate the model's effectiveness in predicting Mode I fracture toughness of rocks. Moosavi and Mohammadi (2021) used MLR to predict the uniaxial compressive strength of weathered granite using point load index, Schmidt rebound hardness, and P-wave velocity as predictors. Their study demonstrated that MLR could successfully account for the combined effects of these variables, yielding accurate predictions validated by metrics such as root mean square error (RMSE), coefficient of determination (R2), and mean absolute percentage error (MAPE). Similarly, Cai et al. (2023) used MLR to analyze the relationship between macroscopic mechanical properties of rocks and their microscopic mineral composition, which helped in quantitatively characterizing brittleness distribution in heterogeneous reservoirs. This approach provided insights into the impact of mineral composition on rock brittleness, which is essential for reservoir management. Additionally, Yu et al. (2018) used MLR to predict and quantitatively evaluate the deformation characteristics and stability of dams, incorporating measurement data on displacement, strain, and stress in concrete. Ismail et al. (2023) applied MLR to assess the effects of gamma-ray (GR), density, deep resistivity, and neutron porosity on sandstone wave velocities. These applications further demonstrate the utility of MLR in rock mechanical and geophysical studies, where multiple parameters often interact to affect the target property. Given the complexity of interactions among factors such as bedding angle, central aperture, and impact pressure, MLR is particularly well suited for quantifying their respective impacts and revealing their synergistic effects. This approach allows for accurate predictions and deeper insights into the mechanisms governing shale failure behavior under dynamic loading.

This study aims to investigate the combined influence of the bedding angle and the central aperture on the tensile strength and fracture propagation characteristics of deep characteristic shale under impact loading, using MLR for quantitative evaluation. High-speed (HS) photography and three-dimensional digital image correlation (3D-DIC) technology were utilized to analyze the fracture propagation characteristics and evolution under varying impact pressures. The research provides a theoretical basis and technical support for the application of methane in situ explosion fracturing technology.

2 EXPERIMENTAL

2.1 Preparation of shale disc samples with a central hole (SDCH) specimens

The shale specimens used in this study were all obtained from Lushan Mountain, Jiujiang City, Jiangxi Province. These shale reservoirs show a uniform bedding structure and are characterized by good integrity. The specimens were processed into cylindrical discs with a diameter of 50 mm and a thickness of 25 mm. The nonperpendicularity and nonuniformity of both ends of the processed specimens did not exceed 0.02 mm. The specimen preparation and testing procedures were conducted in strict adherence to the guidelines of the ISRM (ISRM.Isrm, 1978) and CSEB (Blasting SOEA, CSEBC, 2018).

As shown in Figure 1a, the bedding angle was defined as the angle between the loading direction and the bedding plane. Five kinds of specimens were prepared with bedding angles of 0°, 30°, 45°, 60°, and 90°. A high-precision drilling machine was used to fabricate central holes in the discs, with diameters of 4, 6, 8, and 10 mm. In total, 180 specimens were prepared, as shown in Figure 1b.

Details are in the caption following the image
Preparation of shale specimens with four central apertures and five bedding angles. (a) Schematic diagram of central aperture d and bedding angle β and (b) physical diagram of the specimens.

2.2 Dynamic test system

The dynamic Brazilian splitting test system is shown in Figure 2. Using the m-SHPB system, HS photography system, combined with 3D-DIC technology, the tensile strength and dynamic fracture propagation characteristics of SDCH under different impact pressures were carried out.

Details are in the caption following the image
Hopkinson dynamic impact testing system.

The m-SHPB equipment mainly includes the following devices: control equipment, nitrogen cylinders, impact bullets (500 mm), incident rods (3000 mm), transmission rods (3000 mm), buffer rods (1200 mm), buffer equipment, bullet velocity collectors, and strain signal collectors. The rods are made of silicon–manganese spring steel, and the key physical parameters are shown in Table 1 (Luo et al., 2023).

Table 1. Physical parameters of modified split Hopkinson pressure bar rods.
Physical parameters Poisson's ratio Elastic modulus (GPa) Density (kg/m3) Diameter (mm) Wave velocity (m/s)
Value 0.29 210 7800 50 5158

2.3 Principles of 3D-DIC technology

As shown in Figure 3a, the HS photography system integrates a HS camera and a high-intensity fill light, serving as the hardware foundation for 3D-DIC technology. Given the brittle nature of shale, which results in the sudden and transient propagation of fractures, the frame rate was specifically set to 100 000 fps to capture these rapid events effectively. Figure 3b,c depicts schematic diagrams of the shale impact loading setup, providing a clear illustration of the experimental configuration and the forces applied during the loading process (Li, Luo, et al., 2024).

Details are in the caption following the image
Dynamic test system and loading principle. (a) Dynamic modified split Hopkinson pressure bar with the HS test system, (b) test loading of shale disc samples with a central hole specimens, and (c) schematic diagram of dimensions and loading.

The basic principle of 3D-DIC technology is to combine the principle of binocular stereo vision (as shown in Figure 4a) with the digital image correlation matching technology to restore the three-dimensional spatial coordinates of each point on the surface of the measured object before and after deformation, and then obtain the surface topography and three-dimensional deformation information of the object, as shown in Figure 4b (Blaber et al., 2015).

Details are in the caption following the image
Schematic diagram of the principle of three-dimensional digital image correlation technology. (a) Schematic diagram of the principle of binocular stereo vision and (b) basic principles of deformation measurement.
First, the reference coordinate system O w is converted into the camera coordinate system O c through the external parameters of the camera:
(1)
where is the rotation matrix tensor; is the translation vector.
The camera coordinate system O c is converted into the physical image coordinate system O s, and then converted into the image pixel coordinate system O s.
(2)
(3)
Combining Equations ( 1-3) yields:
(4)
where is the focal length, is the pixel coordinate of the principal point of the imaging plane, and s is the tilt coefficient (0 in this paper).

3 MULTIVARIATE EFFECTS ANALYSIS OF TENSILE STRENGTH

3.1 Theoretical calculation of tensile strength

When conducting dynamic experiments to measure the dynamic mechanical properties of a shale specimen, the m-SHPB system must satisfy two critical conditions: the one-dimensional stress wave assumption and the uniform distribution of stress and strain along the specimen's length. Under these conditions, and by neglecting the strain rate effect, the stress–strain relationship of the shale specimen can be obtained using the three-wave method (Wang et al., 2020; Luo et al., 2023):
(5)
where , , and are the incident, reflection, and transmitted strain impulses, and are the cross-sectional area of the rod and the specimen, respectively, , , and are the stress, strain, and strain rate of the specimen, respectively, is the elastic longitudinal wave velocity of the rod, and is the thickness of the shale specimen.
When the stress values of the two end faces are equal, the specimen is in a state of stress equilibrium, which satisfies:
(6)
According to the test specification recommended by ISRM (ISRM.Isrm, 1978), combined with the one-dimensional stress wave assumption, the dynamic loads P 1 and P 2 at the ends of the incident and transmission rod of the specimen are:
(7)
When the specimen is in stress equilibrium, the inertia effect can be ignored, and the loading load is calculated as follows:
(8)
The indirect tensile strength of the intact specimen is
(9)
Combined with Equation ( 8), the dynamic tensile stress of the complete shale disc can be obtained as follows:
(10)
For rock specimens with a central hole, the holes will greatly affect the stress distribution inside the specimen; based on this, Hobbs ( 1965) proposed a modified formula for calculating the indirect tensile strength as follows:
(11)
where D and d are the diameter and the central aperture of the specimen, respectively.
The existing research results (Li et al., 2018; Li, Liu, et al., 2024) have demonstrated that the tensile strength calculated by Equation ( 11) was overestimated and did not accurately capture the tensile strength characteristics of the shale specimen. Therefore, the dynamic peak tensile strength of the SDCH was calculated using the below revised theoretical formula.
(12)

3.2 Statistics of tensile strength

According to the theoretical formula, the tensile stress of SDCH was calculated by taking 0.2 MPa as an example, and its variation law is shown in Figure 5. Due to the existence of pores and fissures within the shale, the specimens initially entered the compaction stage, and then rapidly transformed into the linear elastic deformation stage. The microcracks were gradually initiated by the progressive accumulation of failure strain, leading the specimens to gradually attain the peak tensile strength. The propagation of microcracks led to macroscopic failures, causing a rapid decline in tensile stress. The stress–time curve might show a bimodal phenomenon due to the influence of the central hole, consistent with the findings of Wu et al. (2020).

Details are in the caption following the image
Tensile stress curves under 0.2 MPa. (a) 4 mm, (b) 6 mm, (c) 8 mm, and (d) 10 mm.

In order to further explore the influence of the bedding angle (0°, 30°, 45°, 60°, 90°) and the central aperture (4, 6, 8, 10 mm) on the dynamic tensile strength under different impact pressures (0.2, 0.3, 0.4 MPa), a total of 60 groups of experiments were carried out. To reduce the discreteness of the experimental results as much as possible, each group of experiments was performed three times, and the average of the experimental results was obtained. The statistical results of the dynamic tensile strength are shown in Table 2.

Table 2. Statistics of experimental results of the dynamic tensile strength.
image

3.3 Qualitative analysis of the effects of the tensile strength

The results of the tensile strength under different conditions, as shown in Figure 6, showed a clear relationship with the bedding angle and the central aperture. The minimum tensile strength always occurred when the aperture was 10 mm and the bedding angle was 0°, while the maximum tensile strength was observed when the aperture was 4 mm and the bedding angle was 90°. Specifically, the minimum tensile strengths were 13.48, 17.12, and 18.13 MPa and the maximum tensile strengths were 22.00, 27.85, and 34.68 MPa under the condition of 0.2, 0.3, and 0.4 MPa, respectively. These findings indicated that an increase in impact pressure significantly enhanced the tensile strength. When the impact pressure and the central aperture remained constant, the tensile strength increased with an increase of the bedding angle. However, under the same impact pressure and bedding angle, the tensile strength decreased significantly as the central aperture increased.

Details are in the caption following the image
3D histogram of tensile strength under different impact pressures. (a) 0.2 MPa, (b) 0.3 MPa, and (c) 0.4 MPa.

3.4 Quantitative analysis of multiple regression of tensile strength

To further quantify the differences in the influence of the impact pressure, the bedding angle, and the central aperture on the tensile strength, multivariate linear regression analysis was carried out to statistically analyze the experimental results (Table 2). As a scientific and effective analytical method, multivariate linear regression analysis (Ismail et al., 2023; Moosavi & Mohammadi, 2021) represents a complex model in regression analysis, capable of comprehensively considering the combined effects of multiple input variables on the output variables. Unlike univariate linear regression, it introduces additional factor variables to establish a more holistic system of relationships, thereby more accurately capturing the intricate influence of each factor on the output variables.

The expression for the multivariate linear regression model is as follows:
(13)
where x is the input vector, which contains multiple features (impact pressure x P, bedding angle x B, central aperture x A); f( x) is the output variable (the tensile strength) of the model; k T is the feature weight; and b is the intercept or offset of the model.
Expand Equation ( 13) into the ternary regression equation required in this paper:
(14)
Parameter estimation was performed using the least squares method, and the sum of squares of the fitting error (residual) Q was defined as:
(15)
The sum of squares of the fitting error (residual) Q should be minimized; the sample regression equation in this case is the actual regression function of the model.
(16)
The sample regression function equation needs to satisfy:
(17)
Collating the equation yields:
(18)
The nonnormalized coefficients of the respective variables can be obtained by solving the system of equations, enabling the derivation of the MLR equations. It is particularly important to note that in multiple regression analysis, independent variables should not show high correlations with one another (Ismail et al., 2023). To ensure the scientific rigor and validity of the MLR equations, it is essential to perform goodness-of-fit tests and significance tests on the fitting results. Additionally, the regression analysis must satisfy the assumptions of residual independence, homogeneity of variance, and normality (Cai et al., 2023; Wang, Zhai, Shao, et al., 2023).
  • 1.

    Goodness-of-fit test

    The multiple decision coefficient R2 was defined to measure the degree of multiple regression equations fitting effect, and the specific calculation formula is as follows:

    (19)


  • 2.

    Significance test

    The significance test includes the linear relationship test (F-test) and the regression coefficient test (t-test), which are as follows:

    (20)
    (21)


  • 3.

    Residual independence

    The residual independence test is based on the Durbin–Watson (DW) residual correlation test, and the specific theoretical calculation is as follows:

    (22)


    The key coefficients of the regression model were obtained by incorporating the experimental data from Table 2 (tensile strength) into the MLR analysis based on Equations (13-22), with the results presented in Table 3.

    As shown in Table 3, the multiple decision coefficient R2 in the regression analysis was 0.907, indicating that the regression equation showed a good fitting effect. For the regression coefficient t0.975(56) = 1.67, the regression coefficients t of the impact pressure, the bedding angle, and the central aperture were 15.722, 13.724, and 7.249, respectively, so the regression equation satisfied the significance test. While the t-test evaluates individual regression coefficients, the F-test assesses the overall significance of the model (Ismail et al., 2023). In this context, the F-test was used to validate the model. At the significance level (α = 0.05), the calculated F-value of 162.69 was significantly greater than the critical F-value (F0.95[3, 56] = 2.78), further supporting the model's validity. Additionally, the correlation coefficient of Durbin–Watson residuals DW = 0.818 was between 0 and 2, indicating that the residuals showed positive autocorrelation and met the independence requirements (Basarir, 2019; Guan et al., 2023).

  • 4.

    Homogeneity and normality of variance

    The normality of the regression analysis was assessed using a histogram of the normal distribution (Figure 7a). The results showed that the tensile strength data followed an approximately normal distribution, with a mean value of 20.81 and a standard deviation of 4.278 (standard normal distribution), indicating that the linear regression equation satisfied the requirement of normality (Moosavi & Mohammadi, 2021). The standardized residual plot (Figure 7b) was distributed around the 0 value, which was basically a symmetrical distribution up and down. Additionally, the distribution characteristics remained consistent across increasing predicted values, indicating that the data met the requirements for variance homogeneity and independence (Cai et al., 2023; Sari, 2020). Therefore, the regression analysis can be confidently concluded to be robust and valid based on the stringent evaluation of its underlying assumptions.

Table 3. Statistical characteristic coefficients of the ternary regression model.
Model Nonnormalized coefficients Normalization coefficients t R2 F DW
b Standard error
b0 10.684 0.937 Null 11.400 0.907 162.6 0.818
bP 35.023 2.228 0.674 15.722
bB 0.083 0.006 0.588 13.724
bA −0.590 0.081 −0.311 −7.249
Details are in the caption following the image
Statistical feature test for ternary regression analysis. (a) Normal distribution test and (b) variance homogeneity test.
The multiple regression equation of tensile strength under the combined influence of the impact pressure, the bedding angle, and the central aperture was as follows:
(23)

The nonstandardization coefficients of the impact pressure and the bedding angle were positive, suggesting a positive correlation between these variables and tensile strength. Conversely, an increase in the central aperture showed a negative effect on tensile strength. It is important to note that nonstandardized coefficients are influenced by factors such as variable scales and orders of magnitude, making them unsuitable for directly assessing the relative impact of independent variables on the dependent variable. In contrast, standardized regression coefficients enable a direct comparison of the effects of different variables. The standardized regression coefficients of the impact pressure, the bedding angle, and the central aperture were 0.674, 0.588, and −0.311, respectively. These values indicate that the influence of the three variables on tensile strength follows the order, from highest to lowest impact pressure, bedding angle, and central aperture. The stress fluctuations induced by impact pressure represent the most direct and significant factor, rapidly elevating local stress levels to the rock's fracture strength, thereby initiating and propagating cracks. Consequently, impact pressure exerts the greatest influence on tensile strength. The bedding angle plays a secondary role in determining tensile strength, primarily by influencing crack propagation pathways. At smaller bedding angles, cracks are more likely to propagate along the bedding planes, leading to reduced tensile strength. As the bedding angle increases, cracks may deviate from the bedding planes, altering their propagation direction and enhancing tensile strength. This variation in the bedding angle fundamentally changes the crack propagation mechanisms, thereby significantly affecting the rock's overall mechanical properties. The central aperture, on the other hand, predominantly affects tensile strength through localized stress concentrations, which diminish the rock's load-bearing capacity. Larger pores exacerbate stress concentrations in specific regions, promoting crack propagation. However, the influence of central aperture is more localized and indirect, resulting in a relatively weaker effect on tensile strength compared to the other two variables.

Under different impact pressures, with the bedding angle and the central aperture as independent variables, the key statistical characteristic coefficients for binary regression analysis are shown in Table 4. The regression analyses conducted under the three impact pressures all satisfied the conditions of normality, homogeneity of variance, and independence, confirming the validity of the statistical results.

Table 4. Statistical characteristic coefficients of the binary regression model.
Impact pressure (MPa)
Nonstandardized Standardized t R2 F DW
b Standard error
0.2 b0 16.923 −0.297
57.062 0.971 283.119 0.988
bB 0.059 −0.003 0.895 21.612
bA −0.366 −0.037 −0.412 −9.958
0.3 b0 22.124 0.670
33.005 0.922 100.987 0.892
bB 0.076 0.006 0.829 12.226
bA −0.596 0.083 −0.485 −7.178
0.4 b0 24.525 1.369
17.919 0.861 52.533 0.880
bB 0.115 0.013 0.821 9.075
bA −0.808 0.169 −0.431 −4.766

As shown in Figure 8, the average tensile strengths of 0.2, 0.3, and 0.4 MPa were 17.02, 21.37, and 24.03 MPa, respectively. The standard mean deviations were 2.034, 2.817, and 4.298, respectively, indicating a progressive increase in tensile strength with increasing impact pressure. Notably, the regression analyses conducted under the three impact pressure conditions all satisfied the fundamental assumptions of normality, homogeneity of variance, and independence, confirming the validity and reliability of the regression model.

Details are in the caption following the image
Statistical feature test for binary regression analysis. (a) 0.2 MPa, (b) 0.3 MPa, and (c) 0.4 MPa.
As can be seen from Table 4 and Figure 8, the binary linear regression results were still scientific and reliable, and the linear regression equations for tensile strength were as follows:
(24)

Surface fitting diagrams with error bars at different impact pressures are shown in Figure 9. At 0.2, 0.3, and 0.4 MPa, the fitting decrease rates of the tensile strength with respect to the central aperture were 0.366, 0.596, and 0.808 MPa/mm, respectively, and the increase rates with respect to the bedding angle were 0.059, 0.076, and 0.115 MPa/(°), respectively. These results demonstrated that an increase in the impact pressure could strengthen the effect of both the bedding angle and the central aperture on the tensile strength. Under high-impact pressures, the crack propagation path and mechanisms became more intricate. The interaction between the central aperture and the bedding angle resulted in a more pronounced influence on tensile strength. Specifically, as the impact pressure increased, the stress concentration induced by the central aperture interacted with the bedding effects, thereby exacerbating crack propagation and significantly altering the mechanical response of the rock. However, the fitting error increased, indicating that the experimental data showed greater dispersion and that the control effects of the bedding and aperture were weakened. The normalization coefficients of the bedding angle were 0.895, 0.829, and 0.821, while those for the central aperture were −0.412, −0.485, and −0.431, respectively. This indicated that, across the experimental range, the influence of the bedding angle on tensile strength was consistently greater than that of the central aperture. This conclusion was also evident from Figure 9, where the inclination angle of the fitted surface in the direction of the bedding angle was obviously greater than that in the direction of the central aperture.

Details are in the caption following the image
Surface fitting under different impact pressures. (a) 0.2 MPa, (b) 0.3 MPa, and (c) 0.4 MPa.

The prediction model of dynamic tensile strength was established according to the regression analysis, and the differences between the measured and the regressed prediction values are shown in Figure 10. All dynamic tensile strength values were predicted within the 95% prediction interval, demonstrating high accuracy. The dispersion of the predicted scatters was the smallest at 0.2 MPa impact pressure, indicating that the regression model performed better in terms of prediction accuracy at lower impact pressures.

Details are in the caption following the image
Evaluation of the prediction accuracy of the regression model. (a) Ternary regression prediction and (b) binary regression prediction.

4 FRACTURE EVOLUTION CHARACTERISTICS AND VARIATION LAW OF THE FRACTURE AREA

4.1 Fracture evolution characteristics

As shown in Figure 11, the fractures were divided into four typical fracture modes according to the cause of the fracture and the propagation path (excluding the small microcracks) (Luo et al., 2023; Wu et al., 2021): tensile fracture along the bedding plane (TS), tensile fracture cross the bedding plane (TC), shear fracture along the bedding plane (SA), and shear fracture cross the bedding plane (SC).

Details are in the caption following the image
Classification of fracture modes for the shale disc samples with a central hole specimens.

As illustrated in Figure 12, the final fracture characteristics of the SDCH under different bedding angles and central apertures at 0.2 MPa impact pressure were analyzed, with the fracture modes summarized in Figure 13. Through a detailed horizontal and vertical comparison, the following conclusions were drawn: Overall, the fracture characteristics showed increasing complexity as the bedding angle and the central aperture increased. Tensile fractures typically propagated in the direction of the impact loading before transitioning to shear fractures influenced by the bedding plane. Specifically, the initial fracture mode that originated from the disc's edge was the SA, while the SC likely evolved from the SA under the combined influence of the bedding surface and the central hole. Additionally, an increase in both the bedding angle and the central aperture showed a pronounced effect in promoting the formation of the SC.

Details are in the caption following the image
Fracture evolution characteristics under the different bedding angles and central apertures.
Details are in the caption following the image
Statistics of fracture modes under different bedding angles and central apertures.

The SDCH with a 0° bedding angle presented typical TA characteristics. As the central aperture increased, a limited amount of SC was generated. Interestingly, for all cases except the 0° bedding angle, the shear fracture forms were predominantly SA, indicating that the fracture propagation direction caused by shear fracture was consistent with the bedding direction. The bedding surface would obviously induce the fracture to expand along the bedding plane. The fracture characteristics of 30°, 45°, and 60° were mainly shear fractures. Notably, the occurrence frequency of SC increased significantly with an increase of the bedding angle, even under the same central aperture. For the SDCH with a 90° bedding angle, both tensile and shear fractures were evident simultaneously. Specifically, the SA and SC fractures were biased toward the central hole, while the TC fractures were located in the impact loading direction. The fracture propagation direction of the SA along the bedding direction generated from the edge of the disc and the SC extending from the SA almost always passed through the central hole. In contrast, the SC fractures extending from the TA or TC fractures deviated from the central hole. These findings suggested that the existence of the central hole only had an obvious guiding effect on fractures propagating along the bedding plane, but its influence was less significant on other fracture modes.

As illustrated in Figure 14, this investigation presented the fracture characteristics of the SDCH with a central aperture of 10 mm under the combined effects of impact pressure and bedding angle. The results demonstrated that as the impact pressure increased, the width of primary tensile fractures significantly increased, and there was an increased propensity for the formation of additional shear secondary fractures. While the overall fracture characteristics became more complex, they continued to show pronounced bedding-induced effects. Except for 0°, with the increase of the impact pressure, the SA generated on the side of the disc increased significantly and the bedding effect of shear fracture propagation was enhanced. The SC formed by the expansion of the SA still tended to be in the direction of the central hole. Notably, the SA originating at the central hole gradually evolved into the TC during its expansion process.

Details are in the caption following the image
Fracture propagation characteristics under the different impact pressures and bedding angles.

Figure 15 shows the fracture characteristics of the SDCH at a 90° bedding angle under the influence of the impact pressure and the central aperture. The SDCH specimens at 90° all formed two obvious main tensile fractures in the horizontal direction of the central hole. The increase in the impact pressure promoted the initiation and propagation of fractures near the central hole, resulting in a significant increase in the width of the tensile fracture. When the aperture was 4 mm, the increase of the impact pressure led to the formation of more shear fractures near the central hole, thereby making the fracture morphological characteristics more complex. Conversely, the fracture mode was the simplest when the aperture was 10 mm, but the fracture width was the largest. For apertures of 6 and 8 mm, the overall fracture mode became the most complex, with an increased generation of SC generated by the TC and SA. Importantly, the SC generated by SA all pointed toward the central hole, whereas the SC generated by TC deviated from it. This observation further demonstrated that the central hole only had a significant guiding effect on the SC generated by the SA.

Details are in the caption following the image
Fracture propagation characteristics under the different impact pressures and central apertures.

4.2 Dynamic fracture process obtained by the 3D-DIC

To further reveal the fracture initiation and propagation mechanism of the SDCH under impact load, shale specimens with five varying bedding angles were subjected to additional supplement dynamic splitting experiments under the condition of 0.2 MPa and 10 mm. Additionally, the evolution process of the SDCH surface strain field was obtained by the DIC full-field analysis technology. Due to differences in the experimental objectives and the fundamental physical properties of the rock samples, variations in fragmentation levels between the two sets of experiments are indeed present. However, the overall fracture patterns in Figure 16 remain consistent with those observed in Figure 14, providing additional insights into the initiation, propagation, and characteristics of fractures.

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Fracture propagation characteristics of shale disc samples with a central hole with a 10 mm aperture. (a) 0°, (b) 30°, (c) 45°, (d) 60°, and (e) 90°.

As shown in Figure 16, the final fracture propagation morphology was basically consistent with the previous analysis, showing overall symmetry of the central hole in the loading direction. Specifically, Figure 16a illustrates that the fracture mode remained the typical type of TA at a bedding angle of 0°. For 30° and 60° bedding angles (Figure 16b,d), the fractures on both sides of the central hole propagated horizontally, but their subsequent expansion direction deviated to some extent from the horizontal direction. Under these two bedding angles, both TC and SC were observed. In addition, the failure mode at 30° was more complex, with the additional presence of SA. As shown in Figure 16c,e, the fracture modes at 45° and 90° showed the mixed fracture characteristics of the TC and SA.

Figure 17 presents the evolution process of the vertical strain field under different bedding angles. While the vertical strain field showed good symmetry on both sides of the central hole, there were notable differences in the appearance position and the evolution process of the strain concentration area. These differences indicated that the fracture initiation position and the propagation path were significantly influenced by the bedding angle.

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Evolution characteristics of the strain field in the vertical direction. (a) 0°, (b) 30°, (c) 45°, (d) 60°, and (e) 90°.

As shown in Figure 17a, when the bedding angle was 0°, the strain concentration area initially appeared at the loading position on the left side of the SDCH and subsequently extended gradually toward the central hole. Meanwhile, on the right side, the strain concentration area first emerged near the central hole and then extended progressively toward the right impact loading position. This asymmetric evolution of strain concentration zones was closely tied to the direction of the impact loading, which influenced both the fracture initiation and propagation. Ultimately, a symmetrical strain concentration area was formed on both sides of the central hole in the horizontal direction, consistent with the macroscopic fracture distribution characteristics observed in Figure 16a. In Figure 17b, at a bedding angle of 30°, the strain concentration areas on both sides of the central hole appeared almost simultaneously and then extended toward both ends under continuous impact loading. However, the strain concentration zone on the right side showed a significantly larger extension range and velocity compared to the left side. Notably, on the lower right side, a strain concentration area formed with an extension direction closely aligned the bedding angle. This behavior was primarily due to the interaction of the main fracture with the bedding plane during propagation, causing a deflection in the extension path. When the bedding angle was 45° (Figure 17c), the cracking sequence and the propagation direction were largely reversed compared to the 0° case, and the strain concentration area displayed a certain angle relative to the horizontal line. At bedding angles of 60° and 90° (Figure 17d,e), the strain concentration area initially appeared near the central hole and then gradually extended toward the loading ends on both sides.

4.3 Variation law of the fracture area

Combined with the fracture morphological features, the fracture area can quantitatively characterize the fracture complexity under different conditions. Understanding the variation law of the fracture area under dynamic impact is crucial for optimizing the engineering application of methane in situ explosion technology. The image processing software ImageJ was used to segment the threshold of surface fractures, and the actual area was obtained by converting pixel values into real dimensions. To simplify computational and statistical analyses, the fracture morphological feature was displayed by taking 90°, 10 mm as examples, as shown in Figure 18. Relevant studies (Engelder & Zevenbergen, 2018; Wu et al., 2020) have demonstrated that tensile fractures in shale reservoirs typically show large widths under explosion loading, serving as dominant fractures extending deep into the reservoir and providing primary channels for methane migration. Meanwhile, shear fractures demonstrate a greater ability to connect natural fractures within the reservoir, thereby enhancing methane gas release. An ideal fracture network should consist of a balanced distribution of both tensile and shear fractures. Based on the classification principle outlined in the preceding section, the total fracture area was subdivided into tensile and shear fracture areas, with the tensile fracture ratio defined as the proportion of tensile fracture area relative to the total fracture area.

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Fracture morphology and area extraction of the shale disc samples with a central hole surface.

Figure 19 shows the variation of the fracture area and the tensile fracture ratio with the bedding angle and the central aperture under 0.2 MPa.

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Variation of the fracture area and the tensile fracture ratio under 0.2 MPa impact pressure. (a) Variation of the fracture area with the bedding angle, (b) variation of the fracture area with the central aperture, (c) variation of the tensile fracture ratio with the bedding angle, and (d) variation of the tensile fracture ratio with the central aperture.

As shown in Figure 19a, the fracture area showed a trend of initially decreasing and then increasing with an increase of the bedding angle for aperture sizes other than 6 mm, with the maximum fracture area occurring at 90°. Notably, when the aperture was 6 mm, the fracture area was significantly larger than that of the other three apertures at 30°, 45°, and 60°, and reached the maximum at 60°. Combined with Figure 19c,d, it is evident that the SDCH mainly presented tensile failure at 0°, with the shear fracture area progressively increasing as the central aperture size increased. The tensile fracture ratio at 90° remained relatively stable, hovering around 60%, regardless of the central aperture. Figure 19b shows that the SDCH maintained a high fracture area across all four at 90°, while the fracture area at 30°, 45°, and 60° peaked at the 6 mm aperture size. Therefore, to achieve an optimal fracture network during methane in situ ignition operations, it is recommended to align the methane explosion loading direction with the bedding plane at 90° (Chai et al., 2023; Wang et al., 2024b).

Under the 90° bedding angle, the variation law of fracture area under different explosive pressures is illustrated in Figure 20. This finding is particularly relevant for explosion fracturing applications in horizontal wells (Li et al., 2018; Li, Liu, et al., 2024), where the peak explosion pressure significantly influences fracture propagation near the perforation channel and the wellbore.

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Variation of the fracture area and the tensile fracture ratio under the 90° bedding angle. (a) Variation of the fracture area with the central aperture, (b) variation of the fracture area with the impact pressure, (c) variation of the tensile fracture ratio with the central aperture, and (d) variation of the tensile fracture ratio with the impact pressure.

As shown in Figures 20 and 15, the fracture area under all apertures showed an increasing trend with an increase of the impact pressure, and the morphological features became progressively more complex. Specifically, the fracture areas for central apertures of 4, 6, 8, and 10 mm achieved their maximum values at 0.4 MPa, reaching 182.224, 214.142, 234.966, and 231.657 mm2, respectively. Among the three impact pressure conditions, the fracture areas for 8 and 10 mm apertures were significantly larger than those of the other two sizes, and their tensile fracture ratios remained relatively uniform despite variations in impact pressure. These findings demonstrate that larger perforation channels in the reservoir facilitate the formation of a more complex fracture network under the influence of stress waves.

4.4 Engineering application discussion

The findings of this study hold substantial practical significance, particularly in the realm of methane in situ combustion fracturing technology. By systematically controlling the impact pressure, the bedding angle, and the central aperture, it is possible to optimize crack propagation and significantly improve the efficiency of rock fracturing processes. This optimization is critical for improving the effectiveness of fracturing operations, especially in the contexts of shale gas extraction and oil and gas reservoir stimulation.

Previous research has indicated that the dynamic tensile strength of rock is closely associated with the formation of tensile fractures (Wang et al., 2023a, 2024b). While an increase in the impact pressure is positively correlated with the dynamic tensile strength, the fracture area still shows a significant increase, suggesting that moderately enhancing the peak explosive load can effectively enlarge the fracture area and create more complex fracture patterns (Wang et al., 2024a). Although the influence of the central aperture on the distribution of tensile fracture areas remains relatively minor (remaining around 60%), the substantial difference in fracture areas between 8 and 10 mm apertures compared to 4 and 6 mm apertures underscores the importance of selecting appropriate pore sizes to maximize fracturing efficiency. Notably, under the same impact pressure of 0.2 MPa, the fracture area at the 90° bedding angle is notably larger than that at other angles, indicating that, under specific geological conditions, adjusting the orientation of perforations relative to the bedding planes of shale reservoirs may be particularly effective in achieving larger fracture areas (Wei et al., 2024). Additionally, this study demonstrates that larger bedding angles and central pore diameters contribute to the formation of shear fractures. As previously established (Liu et al., 2023; Wang et al., 2023b), tensile fractures primarily serve as the main pathways for gas migration, while shear fractures are more effective in connecting natural fractures within the reservoir, thereby promoting the development of a more intricate and interconnected fracture network. Furthermore, the presence of a central pore plays a pivotal role in guiding fracture propagation along bedding planes during reservoir stimulation. These insights highlight the importance of optimizing both perforation pore sizes and the orientation of perforations relative to reservoir bedding planes to enhance fracturing outcomes.

In conclusion, this study emphasizes the necessity of adopting a comprehensive approach to fracturing design, taking into account the complex interactions between the impact pressure, the bedding angle, and the central aperture. The ability to optimize these factors has the potential to enhance techniques used in unconventional resource extraction, thereby improving both the technical performance and economic outcomes of energy production.

5 CONCLUSION

This study systematically analyzed the dynamic tensile strength and fracture evolution characteristics of SDCH samples with varying central apertures and bedding angles through dynamic Brazilian splitting experiments. The effects of these parameters on the tensile strength were quantitatively analyzed by multivariate regression analysis. The evolutionary behavior of fractures was captured using HS photography, and the fracture initiation and propagation process were revealed through 3D-DIC technology. The variation law of the fracture area was investigated by the image processing technology. The main research conclusions are as follows:
  • 1.

    The dynamic tensile strength was positively correlated with both the impact pressure and the bedding angle, but negatively correlated with the central aperture. The increase of the impact pressure could strengthen the influence of the bedding angle and the central aperture on tensile strength.

  • 2.

    Fractures initially formed in the tensile mode along the loading direction and subsequently evolved into shear fractures under the influence of the bedding plane. Larger bedding angles and central apertures facilitated shear fracture formation. Increased impact pressure significantly widened primary fractures and generated secondary shear fractures, enhancing the bedding plane's effect on shear fracture propagation. The existence of the central hole only had a guiding effect on the fracture propagating along the bedding plane.

  • 3.

    The initiation and propagation of fractures were jointly influenced by the impact loading direction, central hole, and bedding plane orientation. When the loading direction was aligned with the bedding plane, fractures propagated horizontally along it, initiating at the central hole due to tensile stress concentration. The bedding plane notably facilitated fracture expansion along its direction.

  • 4.

    The increase of the impact pressure could significantly increase the fracture area and produced more complex fracture morphology. At 0.2 MPa, the fracture area achieved its maximum value at a 90° bedding angle compared to other orientations. Although the central aperture slightly affected tensile fracture area distribution (remaining around 60%), the fracture areas for 8 and 10 mm apertures were significantly larger than those for 4 and 6 mm.

AUTHOR CONTRIBUTIONS

Yabo Chai: Investigation; writing—original draft. Ning Luo: Supervision; conceptualization; review and editing. Jianan Zhou: Investigation; validation; data curation. Haohao Zhang: Investigation; validation. Penglong Li: Investigation; writing—review and editing. Yu Wang: Data curation. Cheng Zhai: Supervision. Tianran Ma: Editing. All authors contributed to the study conception and design.

ACKNOWLEDGMENTS

This study was supported by the National Key Research and Development Program of China (No. 2020YFA0711800), the National Natural Science Foundation of China (No. 12372373 and 12072363), and the China University of Mining and Technology Graduate Innovation Project Funding (No.2023WLJCRCZL044).

    CONFLICT OF INTEREST STATEMENT

    The authors declare no conflict of interest.

    Biographies

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      Ning Luo is a professor and doctoral supervisor specializing in explosion and impact dynamics, deep rock mechanics, intelligent blasting, and engineering blast design. His research portfolio includes leadership roles in three National Natural Science Foundation projects, a sub-project of the National Key R&D Program, six national defense engineering research initiatives, the Jiangsu Provincial Natural Science Foundation, a municipal key R&D project, and over 30 major projects supported by central universities, state-owned enterprises, and innovation programs. His exceptional contributions have been recognized with numerous awards, including one Special Prize, two First Prizes, and one Second Prize from the China Blasting Industry Association Science and Technology Award, one First Prize from the China Coal Industry Association Science and Technology Award, and three First Prizes from provincial association awards. With an extensive publication record, he has authored more than 150 high-impact journal articles and four academic monographs or textbooks, while also securing 32 authorized national invention patents and software copyrights, including six international patents granted in the United States, United Kingdom, Australia, Luxembourg, and South Africa.

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      Cheng Zhai is a professor, doctoral supervisor, and dean of the School of Safety Engineering. Recognized as a leading expert in his field, he was selected for the National Major Talent Project and served as Chief Scientist of the National Key R&D Program. His extensive research portfolio includes leadership of one National Key R&D Program project, one National Outstanding Youth Science Fund project, three National Natural Science Foundation general projects, one National Major Scientific Instrument and Equipment Development Special Task, and one Jiangsu Outstanding Youth Science Fund project, in addition to over 30 industry-commissioned projects. His outstanding contributions earned him the Second Prize of the National Science and Technology Progress Award in 2015 (ranked second). He has published more than 50 SCI-indexed papers and over 30 EI-indexed papers in top-tier journals such as Fuel, International Journal of Rock Mechanics and Mining Sciences, and Energy & Fuels. He also holds 45 authorized national invention patents and eight international patents, underscoring his innovative impact. Committed to education and mentorship, he has supervised 12 undergraduate research and innovation training programs, guiding students to win the gold medal in the 12th “Challenge Cup” National College Student Entrepreneurship Plan Competition. Additionally, he has supported numerous undergraduate and graduate students in pursuing advanced studies abroad, including in Australia, the United States, and the United Kingdom.