Abstract
Fracturing in rocks results in the formation of an inelastic region surrounding the crack tip called the fracture process zone (FPZ), which is often characterized using the Linear Cohesive Zone Model (LCZM). Various numerical studies have shown that the prediction of the FPZ characteristics is significantly influenced by variability in the input parameters of LCZM, such as crack tip opening displacement and tensile strength. In this study, an integrated approach was used for evaluating the LCZM performance in predicting fracture processes of Barre granite specimens, as a representative rock, under Mode I loading. The approach involved experimental testing, numerical simulation, uncertainty quantification of overall fracture behavior, and global sensitivity analysis. First, parameters of the LCZM were estimated from three-point bending tests on center notch Barre granite specimen using the two-dimensional digital image correlation (2D-DIC) technique. This was followed by the implementation of the LCZM in XFEM-based numerical model to simulate the evolution of the FPZ in tested geometry. The results from the deterministic numerical simulation showed that while LCZM can predict all stages of FPZ evolution, the variability in the experimental results, such as the FPZ size, cannot be accounted. The variability of the material response was quantified using a random variable analysis, which involved treating the LCZM’s parameters as random variables. This was followed by the global sensitivity analysis that revealed the most sensitive input parameters is the tensile strength for accurate prediction of the global response of rock specimens under Mode I loading.
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Abbreviations
- DIC:
-
Digital image correlation
- CZM:
-
Cohesive Zone model
- LCZM:
-
Linear Cohesive Zone model
- FPZ:
-
Fracture process zone
- FPZ-I:
-
Fracture process zone initiation
- TFZ:
-
Traction free zone
- RBF:
-
Radial basis function
- MCS:
-
Monte Carlo simulation
- GSA:
-
Global sensitivity analysis
- NSE:
-
Nash–Sutcliffe efficiency
- COV:
-
Coefficient of variation
- PDF:
-
Probability distribution function
- CMOD:
-
Crack mouth opening displacement
- H :
-
Specimen height
- B :
-
Specimen thickness
- \(a_{0}\) :
-
Notch length
- \({\text{CTOD}}\) :
-
Crack tip opening displacement
- \(x,y\) :
-
Coordinates
- \(U\) :
-
Displacement in x direction
- \(\delta\) :
-
Load-point displacement
- \(\delta _{{{\text{peak}}}}\) :
-
Load-point displacement at peak load
- \(\delta _{{{\text{norm}}}}\) :
-
Normalized load-point displacement
- \(P_{{{\text{peak}}}}\) :
-
Peak load
- \(P_{{{\text{norm}}}}\) :
-
Normalized applied load
- \(w\) :
-
Crack opening displacement
- \(w_{{\text{e}}}\) :
-
Elastic opening displacement
- \(w_{{{\text{ne}}}}\) :
-
Inelastic crack opening displacement
- \(w_{{\text{c}}}\) :
-
Critical crack opening displacement
- \(w_{{{\text{ne}}}}^{{\text{c}}}\) :
-
Critical inelastic crack opening displacement
- \(l,~L_{{{\text{FPZ}}}}\) :
-
Developing and fully developed fracture process zone
- \(\sigma _{n}\) :
-
Cohesive stress
- \(\sigma _{{\text{e}}}\) :
-
External tensile stress
- \(\sigma _{{\text{t}}}\) :
-
Tensile strength of rock
- \(\sigma _{{n,\max }}\) :
-
Cohesive strength
- \(\sigma _{{\max }}\) :
-
Maximum principal stress
- \(\partial {\text{CTOD}}/\partial \left( {\delta _{{{\text{norm}}}} } \right)\) :
-
CTOD derivative
- \(G_{{\text{F}}}\) :
-
Mode I fracture energy based on CZM
- \(G_{{{\text{Ic}}}}\) :
-
Mode I fracture energy based on LEFM
- \(S_{i}\) :
-
First order Sobol’ index for ith input parameter
- \(S_{{T_{i} }}\) :
-
Effects Sobol’ index for ith input parameter
- \(u\left( x \right)\) :
-
Total displacement
- \(u_{{{\text{cont}}}} \left( x \right),u_{{{\text{disc}}}} \left( x \right)~\) :
-
Continuous and discontinuous part of displacement
- \(H\left( x \right)\) :
-
Heaviside enrichment function
- \(F_{\alpha } \left( x \right)\) :
-
Crack tip enrichment functions
- \(a_{J} ,b_{{I\alpha }}\) :
-
Degrees of freedoms of the enriched nodes
- \(N_{I} \left( x \right)\) :
-
Standard nodal shape functions
- \(u_{I}\) :
-
Nodal displacement for standard nodes
- \(K_{\Gamma } ,~K_{\Lambda }\) :
-
Nodal subsets containing crack
References
Abaqus Software (2016) Abaqus analysis user’s guide. Dassault Systèmes Simulia Corp, Providence
Aggelis DG, Verbruggen S, Tsangouri E et al (2013) Characterization of mechanical performance of concrete beams with external reinforcement by acoustic emission and digital image correlation. Constr Build Mater 47:1037–1045. https://doi.org/10.1016/j.conbuildmat.2013.06.005
Aladejare AE, Wang Y (2017) Evaluation of rock property variability. Georisk Assess Manage Risk Eng Syst Geohazards 11:22–41. https://doi.org/10.1080/17499518.2016.1207784
Alam SY, Saliba J, Loukili A (2014) Fracture examination in concrete through combined digital image correlation and acoustic emission techniques. Constr Build Mater 69:232–242. https://doi.org/10.1016/j.conbuildmat.2014.07.044
Alam SY, Loukili A, Grondin F, Rozière E (2015) Use of the digital image correlation and acoustic emission technique to study the effect of structural size on cracking of reinforced concrete. Eng Fract Mech 143:17–31. https://doi.org/10.1016/j.engfracmech.2015.06.038
Aliha MRM, Ayatollahi MR (2014) Rock fracture toughness study using cracked chevron notched Brazilian disc specimen under pure modes I and II loading—a statistical approach. Theor Appl Fract Mech 69:17–25. https://doi.org/10.1016/j.tafmec.2013.11.008
Aliha MRM, Sistaninia M, Smith DJ et al (2012) Geometry effects and statistical analysis of mode I fracture in guiting limestone. Int J Rock Mech Mining Sci 51:128–135. https://doi.org/10.1016/j.ijrmms.2012.01.017
Aliha MRM, Mahdavi E, Ayatollahi MR (2018) Statistical analysis of rock fracture toughness data obtained from different Chevron notched and straight cracked mode I specimens. Rock Mech Rock Eng 51:2095–2114. https://doi.org/10.1007/s00603-018-1454-9
ASTM D3967-08 (2008) Standard test method for splitting tensile strength of intact rock core specimens. ASTM, West Conshohocken
Backers T, Stanchits S, Dresen G (2005) Tensile fracture propagation and acoustic emission 895 activity in sandstone: the effect of loading rate. Int J Rock Mech Mining Sci 42:1094–1101. https://doi.org/10.1016/j.ijrmms.2005.05.011
Baecher Gregory B, Christian John T (2003) Reliability and statistics in geotechnical engineering, 1st edn. Wiley, West Sussex
Bazant ZP, Giraudon EB (2002) Statistical prediction of fracture parameters of concrete and implications for choice of testing standard. Cement Concr Res 32:529–556. https://doi.org/10.1016/S0008-8846(01)00723-2
Bazant ZP, Planas J (1997) Fracture and size effect in concrete and other quasibrittle materials, 1st edn. CRC Press, Routledge
Bazant ZP, Yu Q (2011) Size-effect testing of cohesive fracture parameters and nonuniqueness of work-of-fracture method. J Eng Mech 137:580–588. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000254
Belytschko T, Black T (1999) Elastic crack growth in finite elements with minimal remeshing. Int J Numer Methods Eng 45:601–620. https://doi.org/10.1002/(SICI)1097-0207(19990620)45:5
Borgonovo E (2007) A new uncertainty importance measure. Reliab Eng Syst Saf 92(6):771–784
Bourcier M, Bornert M, Dimanov A et al (2013) Multiscale experimental investigation of crystal plasticity and grain boundary sliding in synthetic halite using digital image correlation. J Geophys Res Solid Earth 118:511–526. https://doi.org/10.1002/jgrb.50065
Chen X, Deng X, Sutton MA, Zavattieri P (2014) An inverse analysis of cohesive zone model parameter values for ductile crack growth simulations. Int J Mech Sci 79:206–215. https://doi.org/10.1016/j.ijmecsci.2013.12.006
Ching J, Li K-H, Phoon K-K, Weng M-C (2018) Generic transformation models for some intact rock properties. Can Geotech J 55:1702–1741. https://doi.org/10.1139/cgj-2017-0537
Cusatis G, Schauffert EA (2009) Cohesive crack analysis of size effect. Eng Fract Mech 76:2163–2173. https://doi.org/10.1016/j.engfracmech.2009.06.008
Dai F, Xia K (2010) Loading rate dependence of tensile strength anisotropy of barre granite. Pure Appl Geophys 167:1419–1432. https://doi.org/10.1007/s00024-010-0103-3
De Borst R (2003) Numerical aspects of cohesive-zone models. Eng Fract Mech 70:1743–1757. https://doi.org/10.1016/S0013-7944(03)00122-X
Dual J, Schwarz T (2012) Acoustofluidics 3: Continuum mechanics for ultrasonic particle manipulation. Lab Chip 12:244–252. https://doi.org/10.1039/C1LC20837C
Eftekhari M, Baghbanan A, Hashemolhosseini H (2015) Extended finite element simulation of crack propagation in cracked Brazilian disc. J Mining Environ 6:95–102. https://doi.org/10.22044/jme.2015.365
Elguedj T, Gravouil A, Maigre H (2009) An explicit dynamics extended finite element method. Part 1: Mass lumping for arbitrary enrichment functions. Comput Methods Appl Mech Eng 198:2297–2317. https://doi.org/10.1016/j.cma.2009.02.019
Elices M, Guinea GV, Gómez J, Planas J (2002) The cohesive zone model: advantages, limitations and challenges. Eng Fract Mech 69:137–163. https://doi.org/10.1016/S0013-7944(01)00083-2
Fakhimi A, Tarokh A (2013) Process zone and size effect in fracture testing of rock. Int J Rock Mech Mining Sci 60:95–102. https://doi.org/10.1016/j.ijrmms.2012.12.044
Fan C, Jing XQ (2013) Numerical study of crack propagation path in three-point bending beam using extended finite element method. Appl Mech Mater 353–356:3615–3618.
Garg P, Shirole D, Hedayat A, Griffiths DV (2019) Coupled ultrasonic and digital imaging of crack initiation and growth in prismatic Lyon sandstone rocks. In: Proceedings of 53rd U.S. rock mechanics/geomechanics symposium held in New York
Garg P, Hedayat A, Griffiths DV Characterization of fracture process zone using surface deformation and strain field in brittle rocks. Rock Mech Rock Eng (Under Review)
Ghamgosar M, Erarslan N (2016) Experimental and numerical studies on development of fracture process zone (FPZ) in rocks under cyclic and static loadings. Rock Mech Rock Eng 49:893–908. https://doi.org/10.1007/s00603-015-0793-z
Giner E, Sukumar N, Tarancón JE, Fuenmayor FJ (2009) An Abaqus implementation of the extended finite element method. Eng Fract Mech 76:347–368. https://doi.org/10.1016/j.engfracmech.2008.10.015
Goldsmith W, Sackman JL, Ewerts C (1976) Static and dynamic fracture strength of Barre granite. Int J Rock Mech Mining Sci Geomech Abstr 13:303–309. https://doi.org/10.1016/0148-9062(76)91829-5
Ha K, Baek H, Park K (2015) Convergence of fracture process zone size in cohesive zone modeling. Appl Math Model 39:5828–5836. https://doi.org/10.1016/j.apm.2015.03.030
Harr ME (1989) Probabilistic estimates for multivariate analyses. Appl Math Model 13:313–318. https://doi.org/10.1016/0307-904X(89)90075-9
Hedayat A, Walton G (2017) Laboratory determination of rock fracture shear stiffness using seismic wave propagation and digital image. Geotech Test J 40:92–106. https://doi.org/10.1520/GTJ20160035
Hedayat A, Pyrak-Nolte LJ, Bobet A (2014) Multi-modal monitoring of slip along frictional discontinuities. Rock Mech Rock Eng 47:1575–1587. https://doi.org/10.1007/s00603-014-0588-7
Hillerborg A, Modéer M, Petersson P-E (1976) Analysis of crack formation and crack growth in concrete by means of fracture mechanics and finite elements. Cement Concr Res 6:773–781. https://doi.org/10.1016/0008-8846(76)90007-7
Hoagland RG, Hahn GT, Rosenfield AR (1973) Influence of microstructure on fracture propagation in rock. Rock Mech 5:77–106. https://doi.org/10.1007/BF01240160
Hong HP (1998) An efficient point estimate method for probabilistic analysis. Reliab Eng Syst Saf 59:261–267. https://doi.org/10.1016/S0951-8320(97)00071-9
Im S, Ban H, Kim Y-R (2014) Characterization of mode-I and mode-II fracture properties of fine aggregate matrix using a semicircular specimen geometry. Constr Build Mater 52:413–421. https://doi.org/10.1016/j.conbuildmat.2013.11.055
Iqbal MJ, Mohanty B (2006) Experimental calibration of ISRM suggested fracture toughness measurement techniques in selected brittle rocks. Rock Mech Rock Eng 40:453. https://doi.org/10.1007/s00603-006-0107-6
Ji WW, Pan PZ, Lin Q et al (2016) Do disk-type specimens generate a mode II fracture without confinement? Int J Rock Mech Min Sci 87:48–54. https://doi.org/10.1016/j.ijrmms.2016.05.010
Jiang Q, Zhong S, Cui J et al (2016) Statistical characterization of the mechanical parameters of intact rock under triaxial compression: an experimental proof of the jinping marble. Rock Mech Rock Eng 49:4631–4646. https://doi.org/10.1007/s00603-016-1054-5
Kao C-S, Carvalho FCS, Labuz JF (2011) Micromechanisms of fracture from acoustic emission. Int J Rock Mech Min Sci 48:666–673. https://doi.org/10.1016/j.ijrmms.2011.04.001
Karihaloo BL, Xiao QZ (2003) Modelling of stationary and growing cracks in FE framework without remeshing: a state-of-the-art review. Comput Struct 81:119–129. https://doi.org/10.1016/S0045-7949(02)00431-5
Khoei AR (2014) Extended finite element method: theory and applications, 1st edn. Wiley, West Sussex
Khoei AR, Mohammadnejad T (2011) Numerical modeling of multiphase fluid flow in deforming porous media: a comparison between two- and three-phase models for seismic analysis of earth and rockfill dams. Comput Geotech 38:142–166. https://doi.org/10.1016/j.compgeo.2010.10.010
Khoramishad H, Akbardoost J, Ayatollahi MR (2013) Size effects on parameters of cohesive zone model in mode I fracture of limestone. Int J Damage Mech 23:588–605. https://doi.org/10.1177/1056789513504319
Krishnamurthy T (2003) Response surface approximation with augmented and compactly supported radial basis functions. In: 44th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference. American Institute of Aeronautics and Astronautics
Labuz JF, Shah SP, Dowding CH (1987) The fracture process zone in granite: evidence and effect. Int J Rock Mech Min Sci Geomech Abstr 24:235–246. https://doi.org/10.1016/0148-9062(87)90178-1
Le J-L, Manning J, Labuz JF (2014) Scaling of fatigue crack growth in rock. Int J Rock Mech Min Sciences 72:71–79. https://doi.org/10.1016/j.ijrmms.2014.08.015
Lin Q, Labuz JF (2013) Fracture of sandstone characterized by digital image correlation. Int J Rock Mech Min Sci 60:235–245. https://doi.org/10.1016/j.ijrmms.2012.12.043
Lin Q, Fakhimi A, Haggerty M, Labuz JF (2009) Initiation of tensile and mixed-mode fracture in 990 sandstone. Int J Rock Mech Min Sci 46(489–497):991. https://doi.org/10.1016/j.ijrmms.2008.10.008
Lin Q, Yuan H, Biolzi L, Labuz JF (2014) Opening and mixed mode fracture processes in a quasi-brittle material via digital imaging. Eng Fract Mech 131:176–193. https://doi.org/10.1016/j.engfracmech.2014.07.028
Lin Q, Wan B, Wang S et al (2019a) Visual detection of a cohesionless crack in rock under three-point bending. Eng Fract Mech 211:17–31. https://doi.org/10.1016/j.engfracmech.2019.02.009
Lin Q, Wan B, Wang Y et al (2019b) Unifying acoustic emission and digital imaging observations of quasi-brittle fracture. Theor Appl Fract Mech. https://doi.org/10.1016/j.tafmec.2019.102301
Lin Q, Wang S, Pan PZ et al (2020) Imaging opening-mode fracture in sandstone under three-point bending: a direct identification of the fracture process zone and traction-free crack based on cohesive zone model. Int J Rock Mech Min Sci 136:104516. https://doi.org/10.1016/j.ijrmms.2020.104516
Lu Y, Li W, Wang L et al (2019) In-situ microscale visualization experiments on microcracking and microdeformation behaviour around a pre-crack tip in a three-point bending sandstone. Int J Rock Mech Min Sci 114:175–185. https://doi.org/10.1016/j.ijrmms.2019.01.002
Luzio GD, Cusatis G (2018) Cohesive crack analysis of size effect for samples with blunt notches and generalized size effect curve for quasi-brittle materials. Eng Fract Mech 204:15–28. https://doi.org/10.1016/j.engfracmech.2018.09.003
Miao S, Pan PZ, Yu P et al (2020) Fracture analysis of Beishan granite after high-temperature treatment using digital image correlation. Eng Fract Mech. https://doi.org/10.1016/j.engfracmech.2019.106847
Miller JT (2008) Crack coalescence in granite. MSc Thesis, Massachusetts Institute of Technology
Moës N, Belytschko T (2002) Extended finite element method for cohesive crack growth. Eng Fract Mech 69:813–833. https://doi.org/10.1016/S0013-7944(01)00128-X
Montgomery DC (2019) Design and analysis of experiments 8th Edition, 10th edn. Wiley, New York
Moradian Z, Einstein HH, Ballivy G (2016) Detection of cracking levels in brittle rocks by parametric analysis of the acoustic emission signals. Rock Mech Rock Eng 49:785–800. https://doi.org/10.1007/s00603-015-0775-1
Morgan SP, Johnson CA, Einstein HH (2013) Cracking processes in Barre granite: fracture process zones and crack coalescence. Int J Fract 180:177–204. https://doi.org/10.1007/s10704-013-9810-y
Moriasi D, Arnold J, Liew M et al (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900
Nasseri MHB, Grasselli G, Mohanty B (2010) Fracture toughness and fracture roughness in anisotropic granitic rocks. Rock Mech Rock Eng 43:403–415. https://doi.org/10.1007/s00603-009-0071-z
Oakley JE, O’Hagan A (2004) Probabilistic sensitivity analysis of complex models: a Bayesian approach. J R Stat Soc Ser B (stat Methodol) 66(3):751–769
Obara Y, Nakamura K, Yoshioka S et al (2020) Crack front geometry and stress intensity factor of semi-circular bend specimens with straight through and chevron notches. Rock Mech Rock Eng 53:723–738. https://doi.org/10.1007/s00603-019-01930-5
Oh J-C, Kim H-G (2013) Inverse estimation of cohesive zone laws from experimentally measured displacements for the quasi-static mode I fracture of PMMA. Eng Fract Mech 99:118–131. https://doi.org/10.1016/j.engfracmech.2012.11.002
Pan B, Asundi A, Xie H, Gao J (2009a) Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements. Opt Lasers Eng 47:865–874. https://doi.org/10.1016/j.optlaseng.2008.10.014
Pan B, Qian K, Xie H, Asundi A (2009b) Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas Sci Technol 20:062001. https://doi.org/10.1088/0957-0233/20/6/062001
Pandit B, Babu GL (2020) Global sensitivity analysis of rockmass and support design parameters in tunnel-support system. In: 54th US rock mechanics/geomechanics symposium. American Rock Mechanics Association
Pandit B, Tiwari G, Latha GM, Babu GLS (2019) Probabilistic characterization of rock mass from limited laboratory tests and field data: associated reliability analysis and its interpretation. Rock Mech Rock Eng 52:2985–3001. https://doi.org/10.1007/s00603-019-01780-1
Parisio F, Tarokh A, Makhnenko R et al (2019) Experimental characterization and numerical modelling of fracture processes in granite. Int J Solids Struct 163:102–116. https://doi.org/10.1016/j.ijsolstr.2018.12.019
Patel S, Martin CD (2018) Evaluation of tensile young’s modulus and Poisson’s ratio of a bi-modular rock from the displacement measurements in a Brazilian test. Rock Mech Rock Eng 51:361–373. https://doi.org/10.1007/s00603-017-1345-5
Planas J, Elices M, Guinea GV et al (2003) Generalizations and specializations of cohesive crack models. Eng Fract Mech 70:1759–1776. https://doi.org/10.1016/S0013-7944(03)00123-1
Rinehart AJ, Bishop JE, Dewers T (2015) Fracture propagation in Indiana Limestone interpreted via linear softening cohesive fracture model. J Geophys Res Solid Earth 120:2292–2308. https://doi.org/10.1002/2014JB011624
Roesler J, Paulino GH, Park K, Gaedicke C (2007) Concrete fracture prediction using bilinear softening. Cement Concr Compos 29:300–312. https://doi.org/10.1016/j.cemconcomp.2006.12.002
Saadat M, Taheri A (2019) Modelling micro-cracking behaviour of pre-cracked granite using grain-based distinct element model. Rock Mech Rock Eng 52:4669–4692. https://doi.org/10.1007/s00603-019-01862-0
Saltelli A, Ratto M, Andres T et al (2008) Global sensitivity analysis: the Primer, 1st edn. Wiley, West Sussex
Schreier H, Orteu J-J, Sutton MA (2009) Image Correlation for Shape. Motion and Deformation Measurements, Springer, US, Boston
Sharafisafa M, Nazem M (2014) Application of the distinct element method and the extended finite element method in modelling cracks and coalescence in brittle materials. Comput Mater Sci 91:102–121. https://doi.org/10.1016/j.commatsci.2014.04.006
Sharpe WN (2008) Springer handbook of experimental solid mechanics. William N. Springer US, Boston
Shet C, Chandra N (2004) Effect of the shape of T–δ cohesive zone curves on the fracture response. Mech Adv Mater Struct 11:249–275. https://doi.org/10.1080/15376490490427207
Shirole D, Walton G, Hedayat A (2020) Experimental investigation of multi-scale strain-field heterogeneity in rocks. Int J Rock Mech Min Sci. https://doi.org/10.1016/j.ijrmms.2020.104212
Soares JB, de Freitas FAC, Allen DH (2003) Considering material heterogeneity in crack modeling of asphaltic mixtures. Transp Res Rec 1832:113–120. https://doi.org/10.3141/1832-14
Sobol IM (1993) Sensitivity estimates for nonlinear mathematical models. Math Mod Comput Exp 1:407–414
Song SH, Paulino GH, Buttlar WG (2006) Simulation of crack propagation in asphalt concrete using an intrinsic cohesive zone model. J Eng Mech 132:1215–1223. https://doi.org/10.1061/(ASCE)0733-9399(2006)132:11(1215)
Sutton MA, Yan JH, Deng X et al (2007) Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading. Opt Eng 46:1–17. https://doi.org/10.1117/1.2741279
Wang JT (2012) Investigating some technical issues on cohesive zone modeling of fracture. J Eng Mater Technol. https://doi.org/10.1115/1.4007605
Wang Y, Hu X (2017) Determination of tensile strength and fracture toughness of granite using notched three-point-bend samples. Rock Mech Rock Eng 50:17–28. https://doi.org/10.1007/s00603-016-1098-6
Wang Q, Fang H, Shen L (2016) Reliability analysis of tunnels using a metamodeling technique based on augmented radial basis functions. Tunn Undergr Space Technol 56:45–53. https://doi.org/10.1016/j.tust.2016.02.007
Wu Z (1995) Compactly supported positive definite radial functions. Adv Comput Math 4:283. https://doi.org/10.1007/BF03177517
Xie Y, Cao P, Jin J, Wang M (2017) Mixed mode fracture analysis of semi-circular bend (SCB) specimen: a numerical study based on extended finite element method. Comput Geotech 82:157–172. https://doi.org/10.1016/j.compgeo.2016.10.012
Xing Y, Zhang G, Wan B, Zhao H (2019) Subcritical fracturing of sandstone characterized by the acoustic emission energy. Rock Mech Rock Eng 52:2459–2469. https://doi.org/10.1007/s00603-018-1724-6
Xu Y, Li X, Wang X, Liang L (2014) Inverse parameter identification of cohesive zone model for simulating mixed-mode crack propagation. Int J Solids Struct 51:2400–2410. https://doi.org/10.1016/j.ijsolstr.2014.03.008
Yang J, Lian H, Liang W et al (2019) Model I cohesive zone models of different rank coals. Int J Rock Mech Min Sci 115:145–156. https://doi.org/10.1016/j.ijrmms.2019.01.001
Yao Y (2012) Linear elastic and cohesive fracture analysis to model hydraulic fracture in brittle and ductile rocks. Rock Mech Rock Eng 45:375–387. https://doi.org/10.1007/s00603-011-0211-0
Yu M, Wei C, Niu L et al (2018) Calculation for tensile strength and fracture toughness of granite with three kinds of grain sizes using three-point-bending test. PLoS ONE. https://doi.org/10.1371/journal.pone.0180880
Zhang C, Hu X, Wu Z, Li Q (2018a) Influence of grain size on granite strength and toughness with reliability specified by normal distribution. Theor Appl Fract Mech 96:534–544. https://doi.org/10.1016/j.tafmec.2018.07.001
Zhang G, Xing Y, Wang L (2018b) Comprehensive sandstone fracturing characterization: integration of fiber Bragg grating, digital imaging correlation and acoustic emission measurements. Eng Geol 246:45–56. https://doi.org/10.1016/j.enggeo.2018.09.016
Zhou X-P, Chen J-W, Berto F (2020) XFEM based node scheme for the frictional contact crack problem. Comput Struct 231:106221. https://doi.org/10.1016/j.compstruc.2020.106221
Zhuang X, Chun J, Zhu H (2014) A comparative study on unfilled and filled crack propagation for rock-like brittle material. Theor Appl Fract Mech 72:110–120. https://doi.org/10.1016/j.tafmec.2014.04.004
Zi G, Belytschko T (2003) New crack-tip elements for XFEM and applications to cohesive cracks. Int J Numer Methods Eng 57:2221–2240. https://doi.org/10.1002/nme.849
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Funding for this research was provided by the National Science Foundation under Award number 1644326. The authors are grateful for this support.
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Garg, P., Pandit, B., Hedayat, A. et al. An Integrated Approach for Evaluation of Linear Cohesive Zone Model’s Performance in Fracturing of Rocks. Rock Mech Rock Eng 55, 2917–2936 (2022). https://doi.org/10.1007/s00603-021-02561-5
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DOI: https://doi.org/10.1007/s00603-021-02561-5