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. 2023 Jan 25;16(3):1056. doi: 10.3390/ma16031056

An Experimental Study of the Relation between Mode I Fracture Toughness, KIc, and Critical Energy Release Rate, GIc

Yang Qiao 1,*, Zong-Xian Zhang 1, Sheng Zhang 2
Editors: Hang Lin, Yanlin Zhao, Yixian Wang, Yu Chen, Rihong Cao
PMCID: PMC9919656  PMID: 36770063

Abstract

The construction of the relation between the critical energy release rate, GIc, and the mode I fracture toughness, KIc, is of great significance for understanding the fracture mechanism and facilitating its application in engineering. In this study, fracture experiments using NSCB and CCCD specimens were conducted. The effects of specimen sizes, loading rate and lithology on the relation between GIc and KIc were studied. GIc was calculated by integrating the load–displacement curve according to Irwin’s approach. Based on the measured KIc and GIc of the rock specimens, a relation between GIc and KIc was found to be different from the classical formula under linear elasticity. It was found that both specimen size and loading rate do not influence this relation.

Keywords: critical energy release rate, mode I fracture toughness, relation

1. Introduction

Fracture toughness and critical energy release rate are very important parameters in fracture mechanics. The construction of the relation between GIc and KIc is of great significance for understanding the fracture mechanism and establishing the relation between some fracture parameters such as the J-Integral [1], R-value [2] and crack propagation velocity [3,4]. It also facilitates the application of both values in numerical simulations and engineering. In fracture mechanics, the stress intensity factor characterizes the stress and displacement distribution of a pre-crack tip, while the energy release rate, G, refers to the rate of potential energy within the crack area [5]. Their relation is [6]:

G=KI2/E for plane stress (1)

or

G=(1v2)KI2/E for plane strain (2)

Either equation is based on the stress and displacement solutions around a pre-crack tip [6,7], where K is the stress intensity factor of a crack tip. Here, G quantifies the net change in potential energy that accompanies an increment of crack extension; and K characterizes the stresses, strains and displacements near the crack tip. The energy release rate describes global behavior, while K is a local parameter [2]. As described in [2], if a material fails locally at some combination of stress and strain, then crack extension must occur at a critical K value. This critical value is called fracture toughness (such as KIc in mode I fracture). Griffith (1921), according to the first law of thermodynamics, developed an energy balance theory, stating that a sufficient condition for crack extension was that the energy absorbed by the material was greater than the energy required to form the new fracture surface [5,8]. Since energy release rate is uniquely related to stress intensity, G also provides a single-parameter description of crack-tip conditions, and Gc (such as GIc in mode I fracture) is an alternative measure of toughness, which is also called critical energy release rate. In linear elastic conditions, GIc and KIc are correlated with each other by Equations (3) and (4) [2]:

GIc=KIc2/E for plane stress (3)

or

GIc=(1v2)KIc2/E for plane strain (4)

However, many materials such as rock, concrete and ceramics are not linear elastic [9,10,11] and a large number of experimental data have shown that GIc and KIc do not conform to the relation in Equation (2) [9,10,12,13,14]. For example, it was found that as the length of a crack increases, GIc and KIc2/E show a different relation from Equation (2), e.g., when a/w is 0–0.1 (a is the length of the crack and w is the width of the specimen), GIc and KIc2/E show a power function relation, and when a/w is 0.1–0.85, they are linearly related [15]. The energy release rate first increases and then tends to stabilize with the crack propagation [16].

Some numerical codes use the relation between GIc and KIc to judge the extension behavior of a crack. For example, based on the implementation of the displacement extrapolation method (DEM) and the strain energy density theory in a finite element code, the kinking angle is evaluated as a function of stress intensity factors at each crack increment length, and the mechanical behavior of inclined cracks is analyzed by evaluating the stress intensity factors [17]. In addition, the global energy-based method is proposed to determine the crack propagation length and the crack propagation direction, and this method is formulated within an X-FEM-based analysis model, leading to a variational formulation in terms of displacements, crack lengths and crack angles [18].

Both KIc and GIc have a wide range of applications. Zhang [19] proposed a new method, based on the energy release rate, to assess fracture toughness, Kc. Compared to previous methods, the new method was more consistent with actual damage mechanism and it did not depend on a specific critical damage value. Bearman et al. have shown that a strong correlation exists between the fracture toughness, Kc, and the energy consumption of a laboratory crusher used to crush rock, indicating that the relation between Kc and Gc may have practical application in the evaluation of crushing equipment [20].

Based on the above description, the aim of this study is to establish a relation between fracture toughness, KIc, and critical energy release rate, GIc, by using the measurement results from a total of 128 limestone and sandstone specimens. In contrast to classical theory and formulae of the relation, the coefficients of the new formula are adjusted by considering the true crack area as well as the ductile fracture properties of the rock material. In addition, the study presents the effects of specimen sizes, loading rate and lithology on the relation between GIc and KIc. This leaves the formula open to a wider range of applications.

2. Materials and Methods

Sandstone and limestone were selected to conduct the fracture tests on and they were taken from two quarries in Sichuan and Henan provinces, China. The rock specimens include two configurations: notched semi-circular bending (NSCB) and center-cracked circular disk (CCCD), as shown Figure 1a. Their physical and mechanical parameters are shown in Table 1. The pre-cracks were cut by a diamond wire with a diameter of 0.2 mm, resulting in a width of around 0.3 mm of the pre-cracks. The size, number, loading rate and configuration of the specimens are shown in Table 2. The RTX-3000 rock mechanic testing machine produced by GCTS was used in the experiment, as shown in Figure 1b. In order to maintain accuracy, a 25 kN force sensor was equipped. The three-point bending loading method was used to load the NSCB specimen and the CCCD was directly compressed. The displacement control method was frame displacement control, with an accuracy of 0.25 mm and a resolution of 0.025 mm.

Figure 1.

Figure 1

Configuration of rock specimens and testing machine. (a) Top: notched semi-circular bending (NSCB) specimens; (b) bottom: center-cracked circular disk (CCCD) specimens.

Table 1.

Physical and mechanical parameters of the tested rocks [21,22].

Parameter Limestone Sandstone
Uniaxial compressive strength (MPa) 178.80 58.53
Young’s modulus (GPa) 70.40 8.45
Poisson’s ratio 0.250 0.245

Table 2.

Sizes, number, loading rate and configuration of all specimens.

Rock Φ/mm t/mm Total Configuration Specimen No. Loading Rate
Limestone 150 60 20 NSCB A1~A20 0.002~10 kN/s
Limestone 100 40 20 NSCB B1~B20 0.002~10 kN/s
Limestone 75 30 20 NSCB C1~C20 0.002~10 kN/s
Limestone 50 20 20 NSCB D1~D20 0.002~10 kN/s
Limestone 30 12 20 NSCB E1~E20 0.002~10 kN/s
Sandstone 200 60 4 NSCB S200-1~S200-4 1.2 mm/s
Sandstone 150 45 4 NSCB S150-1~S150-4 1.2 mm/s
Sandstone 100 30 4 NSCB S100-1~S100-4 1.2 mm/s
Sandstone 50 15 4 NSCB S50-1~S50-4 1.2 mm/s
Sandstone 200 60 3 CCCD C200-1~C200-3 1.2 mm/s
Sandstone 150 45 3 CCCD C150-1~C150-3 1.2 mm/s
Sandstone 100 30 3 CCCD C100-1~C100-3 1.2 mm/s
Sandstone 50 15 3 CCCD C50-1~C50-3 1.2 mm/s

Note: the ratio of crack length (a) to diameter is 0.4 for NSCB and 0.3 for CCCD.

3. Results and Analysis

3.1. Fracture Toughness (KIc) and Critical Energy-Release Rate (GIc)

In rock materials and under static loading conditions, the stress intensity factor at the peak load of the specimen is recognized as the fracture toughness, KIc, and the energy release rate as the critical energy release rate, GIc. According to the ISRM suggested method [23], the fracture toughness, KIc, of NSCB specimens was calculated by Equation (5), and the result is given in Table 3. The fracture toughness of CCCD specimens was calculated by Equation (6) [24].

KIc=Pmaxπa2RtYNSCB (5)
YNSCB=1.297+9.516[S/(2R)]{0.47+16.457[S/(2R)]}α+{1.07+34.401[S/(2R)]}α2
α=a/R   S/(2R)=0.6, α=0.2
KIc=Pmaxt2RYCCCD (6)
YCCCD=2πα1α(10.4964α+1.5582α23.1818α3+10.0962α420.7782α5+20.1342α67.5067α7)

Table 3.

Peak load, Pmax, and fracture toughness, KIc, of all specimens.

No. Pmax
(kN)
KIc
(MPa·m1/2)
No. Pmax
(kN)
KIc
(MPa·m1/2)
No. Pmax
(kN)
KIc
(MPa·m1/2)
No. Pmax
(kN)
KIc
(MPa·m1/2)
A1 15.016 1.186 B13 10.888 1.585 D5 2.968 1.225 E17 1.074 0.922
A2 16.318 1.271 B14 9.196 1.354 D6 3.034 1.265 E18 1.588 1.274
A3 16.340 1.310 B15 11.602 1.668 D7 2.782 1.127 E19 1.344 1.045
A4 17.014 1.340 B16 10.924 1.605 D8 2.810 1.161 E20 1.462 1.245
A5 17.912 1.400 B17 12.546 1.816 D9 3.382 1.378 S50-1 0.46 0.43
A6 18.258 1.434 B18 11.502 1.681 D10 3.338 1.342 S50-2 0.48 0.45
A7 16.220 1.296 B19 10.824 1.610 D11 3.060 1.252 S50-3 0.53 0.42
A8 16.826 1.324 B20 11.032 1.626 D12 3.222 1.318 S50-4 0.49 0.40
A9 18.520 1.449 C1 5.354 1.183 D13 3.268 1.333 S100-1 1.47 0.45
A10 19.288 1.515 C2 5.172 1.135 D14 2.900 1.204 S100-2 1.75 0.53
A11 19.866 1.565 C3 5.142 1.134 D15 3.144 1.27 S100-3 1.72 0.53
A12 21.046 1.648 C4 5.550 1.221 D16 3.868 1.584 S100-4 1.71 0.53
A13 22.188 1.767 C5 5.708 1.250 D17 3.588 1.488 S150-1 3.08 0.50
A14 20.930 1.662 C6 6.478 1.433 D18 3.586 1.460 S150-2 3.18 0.54
A15 18.506 1.456 C7 5.464 1.198 D19 3.240 1.366 S150-3 3.60 0.53
A16 21.164 1.688 C8 5.548 1.217 D20 3.240 1.352 S150-4 3.00 0.49
A17 21.422 1.684 C9 6.262 1.371 E1 0.572 0.501 S200-1 4.99 0.48
A18 22.392 1.757 C10 6.302 1.388 E2 0.684 0.564 S200-2 5.39 0.51
A19 21.504 1.703 C11 6.418 1.414 E3 0.826 0.720 S200-3 7.06 0.69
A20 25.032 1.970 C12 6.150 1.344 E4 0.670 0.578 S200-4 6.52 0.62
B1 9.104 1.309 C13 7.312 1.609 E5 0.696 0.577 C50-1 1.94 0.41
B2 8.170 1.180 C14 6.976 1.548 E6 0.894 0.744 C50-2 1.96 0.29
B3 8.798 1.272 C15 6.244 1.378 E7 0.990 0.832 C50-3 1.99 0.31
B4 7.534 1.121 C16 7.542 1.662 E8 0.828 0.726 C100-1 7.40 0.39
B5 9.002 1.297 C17 7.764 1.691 E9 1.008 0.861 C100-2 6.93 0.36
B6 8.202 1.185 C18 7.528 1.663 E10 0.942 0.771 C100-3 - -
B7 9.332 1.255 C19 7.476 1.647 E11 0.788 0.696 C150-1 14.21 0.41
B8 9.512 1.399 C20 7.736 1.718 E12 1.092 0.878 C150-2 15.08 0.43
B9 9.992 1.441 D1 2.600 1.070 E13 1.088 0.910 C150-3 15.79 0.45
B10 8.990 1.289 D2 3.362 1.362 E14 1.112 0.900 C200-1 24.62 0.46
B11 9.218 1.397 D3 2.572 1.050 E15 1.092 0.911 C200-2 28.07 0.52
B12 9.396 1.410 D4 2.442 1.007 E16 1.196 1.039 C200-3 28.46 0.53

YCCCD can be calculated by numerical simulations and the YCCCD in this study is from [22,24].

The critical energy release rate (GIc) was the energy dissipated in forming per unit crack surface area. The GIc can be determined by three methods: the stress-intensity-factor method, the J-integral method and Petersson’s method (modified) [25]. In this study, the GIc was calculated by integrating the load–displacement curve (Figure 2) according to Irwin’s approach [26,27], as shown by Equation (7).

GIc=WUA0=12R(1α)Bi=1n(Pi+1+Pi)(ui+1ui) (7)

where W is the total work done by the load and U is the strain energy stored in the specimen. A0 is the nominal crack area, n is the total number of data points and i denotes the i-th data point. Pi and ui are the corresponding load and displacement of the i-th data point, respectively.

Figure 2.

Figure 2

Figure 2

Load–displacement curve (the letters represent the group and the following number is the diameter of the specimen).

As can be seen in Table 4, there is a significant size effect for both fracture toughness and critical energy release rate. Both decrease with decreasing size. The critical energy release rate of CCCD is significantly greater than that of NSCB. The fracture toughness of the sandstone specimens is significantly less discrete than that of the limestone with a range of 0.5–1.52 (standard deviation is 0.30), but the range of fracture toughness for sandstone is 0.36–0.69 (standard deviation is 0.07).

Table 4.

Statistical analysis of GIc and KIc.

A Group B Group C Group D Group E Group S Group CCCD
 GIc mean (J/m2) 100.86 96.84 90.61 73.68 43.62 82.51 296.42
 GIc max (J/m2) 147.14 143.74 121.12 118.51 73.95 137.30 433.85
 GIc min (J/m2) 71.10 73.31 55.54 47.22 25.00 51.27 193.43
GIc median (J/m2) 97.60 87.18 84.47 74.67 42.77 76.85 280.13
KIc mean (MPa·m1/2) 1.52 1.42 1.41 1.28 0.83 0.5 0.44
KIc max (MPa·m1/2) 1.97 1.82 1.72 1.49 1.25 0.69 0.53
KIc min (MPa·m1/2) 1.19 1.19 1.13 1.01 0.50 0.40 0.36
KIc median (MPa·m1/2) 1.49 1.40 1.38 1.32 0.85 0.5 0.43

Note: A–D group (limestone) is NSCB with the diameters Φ = 150, 100, 75, 50 and 30 mm. S group (sandstone) is NSCB with the diameters Φ = 200, 150, 100 and 50 mm. CCCD specimen is sandstone with the diameters Φ = 200, 150, 100 and 50 mm.

3.2. Relation between GIc and KIc

Based on the experimental data of GIc and KIc2/E in Table 5, we can obtain a regression equation between GIc and KIc, as shown by Equation (8) and in Figure 3.

GIc=3.09 KIc2E (8)

Table 5.

GIc and KIc2/E of all specimens.

No. KIc2/E (J/m2) GIc (J/m2) No. KIc2/E (J/m2) GIc (J/m2) No. KIc2/E (J/m2) GIc (J/m2) No. KIc2/E (J/m2) GIc (J/m2)
A1 19.98 78.76 B13 35.69 117.91 D5 21.32 64.74 E17 12.08 40.55
A2 22.95 74.00 B14 26.05 89.18 D6 22.73 74.36 E18 23.06 73.95
A3 24.38 72.86 B15 39.53 161.64 D7 18.04 47.22 E19 - -
A4 25.51 71.10 B16 36.60 102.05 D8 0.00 0.00 E20 22.02 52.02
A5 27.84 98.91 B17 46.85 143.74 D9 26.98 118.51 S50-1 21.88 51.27
A6 29.21 96.14 B18 40.14 124.95 D10 25.59 85.63 S50-2 23.96 46.18
A7 23.86 72.18 B19 36.82 89.50 D11 22.27 82.97 S50-3 20.88 52.04
A8 24.90 73.29 B20 37.56 68.36 D12 24.68 75.29 S50-4 18.93 54.78
A9 29.83 97.11 C1 19.88 104.79 D13 25.24 65.10 S100-1 23.96 61.36
A10 32.61 109.97 C2 18.30 84.70 D14 20.59 67.42 S100-2 - -
A11 34.80 98.09 C3 18.27 55.54 D15 22.91 58.87 S100-3 33.24 91.41
A12 38.58 93.92 C4 21.18 79.89 D16 35.65 49.40 S100-4 33.24 88.71
A13 44.36 129.82 C5 22.20 99.92 D17 31.46 89.73 S150-1 29.59 52.43
A14 39.24 124.42 C6 29.17 117.39 D18 30.28 79.81 S150-2 34.51 63.50
A15 30.12 80.46 C7 20.39 84.07 D19 26.51 78.75 S150-3 33.24 83.57
A16 40.48 101.10 C8 21.04 55.88 D20 25.97 74.67 S150-4 28.41 76.85
A17 40.29 128.21 C9 26.70 84.25 E1 3.57 25.88 S200-1 27.27 132.60
A18 43.86 147.14 C10 27.37 79.27 E2 - - S200-2 30.78 137.30
A19 41.20 130.28 C11 28.40 82.43 E3 7.36 25.00 S200-3 56.34 126.85
A20 55.13 139.53 C12 25.66 70.40 E4 4.75 26.11 S200-4 - -
B1 24.34 86.89 C13 36.78 79.61 E5 4.73 25.72 C50-1 19.89 193.43
B2 19.78 86.93 C14 34.04 111.65 E6 7.86 55.17 C50-2 - -
B3 22.99 105.17 C15 26.98 88.33 E7 9.83 45.05 C50-3 - -
B4 - - C16 39.24 76.89 E8 - - C100-1 18.00 200.93
B5 23.90 85.04 C17 40.62 112.67 E9 10.53 53.51 C100-2 15.34 242.54
B6 19.95 82.48 C18 39.29 111.28 E10 8.44 43.43 C100-3 - -
B7 22.38 85.88 C19 38.54 121.12 E11 6.88 24.89 C150-1 19.89 280.13
B8 27.81 85.64 C20 41.93 112.51 E12 10.95 42.11 C150-2 21.88 269.24
B9 29.50 117.89 D1 16.27 53.27 E13 11.76 61.92 C150-3 23.96 305.30
B10 23.60 92.65 D2 26.35 85.38 E14 11.51 63.10 C200-1 25.04 396.72
B11 27.73 73.31 D3 - - E15 11.79 39.50 C200-2 32.00 433.85
B12 28.24 77.08 D4 14.41 50.84 E16 - - C200-3 33.24 345.61

Figure 3.

Figure 3

Relation between GIc and KIc2/E.

Obviously, Equation (8) is different from Equation (2) which is valid for linear elastic fracture, i.e., the coefficient in Equation (8) is 3.09, while that in Equation (2) is equal to 1. The difference between Equations (2) and (5) may be caused by two main reasons: (1) The rock in this study shows viscous and even ductile fracture behavior. As shown in Figure 4, the load–displacement curve exhibits a slow slope in the initial stages, peak and end of the loading, indicating that some of the energy absorbed by the specimen is used for plastic deformation and microcrack development in addition to crack extension [28,29]. However, the energies used the plastic deformation and the microcrack development are not excluded when calculating the critical energy release rate. (2) The nominal crack area, rather than true crack area, was used to determine GIc in this study. Since the true surface area of a crack is much larger than the nominal area, Zhang and Ouchterlony have pointed out that the GIc should be based on the true crack area [30].

Figure 4.

Figure 4

Load–displacement curve of limestone.

3.3. Effects of Specimen Sizes, Loading Rate and Lithology on the Relation between GIc and KIc

Five specimen sizes and five loading rates were involved in the experiments of this study and the experimental results of the relation between GIc and KIc are presented in Figure 5a–e, showing that both specimen size and loading rate do not influence this relation. In other words, this relation is valid for all specimen sizes and loading rates involved in this study.

Figure 5.

Figure 5

Figure 5

(a) Regression equation and data for Φ = 150 mm. (b) Regression equation and data for Φ = 100 mm. (c) Regression equation and data for Φ = 75 mm. (d) Regression equation and data for Φ = 50 mm. (e) Regression equation and data for Φ = 30 mm.

To investigate how lithology influences the relation between GIc and KIc, the sandstone data in Table 4 are summarized in Figure 6. Clearly, sandstone is suitable for the relation between GIc and KIc, meaning that this relation is valid for both sandstone and limestone used in this study.

Figure 6.

Figure 6

Regression equation and data of sandstone.

4. Discussion

In this study, a relation between fracture toughness and critical energy release rate is obtained by analyzing data from 128 specimens. The effect of specimen size and loading rate on this regression equation is also explored. It provides the basis for further development of fracture theory suitable for quasi-brittle materials such as rocks. The relation between fracture toughness and critical energy release rate is conducive to refining fracture theories applicable to quasi-brittle materials such as rock. For example, it is well known that J = G = KIc2/E in linear elastic models. When the unloading that occurs during crack growth does not follow the same path as loading in a realistic situation, this equation does not hold true. However, this study may make it possible to calculate G for a nonlinear elastic condition in terms of the changes in the load–displacement curve with respect to crack length. Thus, this method may be applied directly to the computation of J in nonlinear elastic conditions. The R-value is also known as the resistance to crack extension and is constant for a material. The R-value, as measured by the ASTM standard, is limited by the size of the specimen and the R-value will vary with crack growth [16,31]. However, according to Griffith’s theory, the resistance to crack extension is the surface energy of the material. When the crack is steadily extending, G is equal to R. Based on the relation between energy release rate and fracture toughness derived in this paper, it is easy to calculate the resistance to crack extension, R.

In Table 3 and Table 4, there is a significant size effect on fracture toughness due to fracture process zone [32,33]. Additionally, the energy release rate is calculated using the nominal crack area rather than the true crack area. The cracked surfaces of rocks are very rough, so the true crack surface area is larger than the nominal crack area [30]. Therefore, if the fracture process zone is considered and the true crack area is measured, the result would perhaps be more accurate.

5. Conclusions

  1. Fracture toughness and critical energy release rates are experimentally determined for 128 specimens. Based on the determined data of GIc and KIc, a relation between these two fracture parameters is obtained, which is GIc=3.09 KIc2/E, with an R2 value of 0.97. This coefficient, 3.09, is greater than 1, the coefficient in the linear elastic fracture relation;

  2. This regression equation coefficient, 3.09, is greater than 1, the coefficient of the linear elastic fracture relation. The two of the reasons for this discrepancy are: (1) the GIc is determined using the nominal crack area rather than the true crack area in this study and (2) the rock fracture is of non-linear-elastic rather than brittle fracture in this study;

  3. The effect of rock specimen size on the relation between GIc and KIc under static conditions is very small and it can be ignored. Similarly, the effect of loading rate on the relation between GIc and KIc under quasi-static conditions is also neglectable. The lithology does not seem to affect the relation between GIc and KIc under static conditions, but the result is based on only two types of rock.

Acknowledgments

Special thanks are given to the two anonymous reviewers who have helped to improve the paper.

Nomenclature

List of Symbols
K I c Mode I fracture toughness
G I c Critical energy release rate
R2 Coefficient of determination
G Energy release rate
KI Stress intensity factor for mode I
NSCB Notched semi-circular bending
CCCD Center-cracked circular disk
Φ Diameter of specimen
R Radius of specimen
t Thickness of specimen
Pmax Peak loading
ν Poisson’s ratio

Author Contributions

Data curation, Y.Q. and S.Z.; funding acquisition, Y.Q.; investigation, Y.Q. and Z.-X.Z.; article review, Z.-X.Z. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

This study was supported by the K. H. Renlund Stiftelse Foundation in Finland. The first author is grateful to the China Scholarship Council (funding number: CSC NO. 201908410233) for the financial support.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.


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