Computers and Geotechnics 30 (2003) 549–555 www.elsevier.com/locate/compgeo Modeling of creep in rock materials in terms of material degradation J.F. Shaoa,*, Q.Z. Zhua, K. Sub a Laboratory of Mechanics of Lille, UMR 8107, EUDIL-USTL, Cité Scientifique, 59655 Villeneuve d’Ascq, France b Agence Nationale pour la gestion des déchets radioactifs (ANDRA) 92296 Chatenay Malabry, France Received 10 March 2003; received in revised form 9 May 2003; accepted 15 May 2003 Abstract In this paper, we present a constitutive model for creep deformation in rock materials. Starting from an elastoplastic model for the description of short term behavior, the time-dependent deformation is described in terms of evolution of microstructure, leading to progressive degradation of elastic modulus and failure strength of material. The proposed model is applied to predict material responses in creep and relaxation tests. There is a good agreement between numerical simulations and experimental data. The proposed model is able to describe the main features observed in most cohesive frictional geomaterials (rocks and concrete), such as plastic deformation, damage, volumetric dilation, pressure sensitivity, rate dependency and creep. # 2003 Elsevier Ltd. All rights reserved. Keywords: Creep; Damage; Plasticity; Rock; Microstructure; Constitutive model 1. Introduction Most geomaterials, like rocks and concrete, exhibit both instantaneous and time-dependent irreversible deformations. This has been observed in laboratory tests and in situ monitoring of existing geotechnical and civil engineering structures. In the context of rock mechanics, for example, significant creep and relaxation effects have been recorded in sedimentary rocks [1,2], salt rocks [3], as well as hard rocks [4–6]. On a structural level, a typical manifestation of creep involves a progressive evolution of microcracks, as observed, for example, around a tunnel in Lac du Bonnet granite [7]. In classic models, the creep deformation is usually described by using viscoelasticity or viscoplasticity [8– 10], i.e. the time-dependent deformation is entirely attributed to the viscous effects. However, both these approaches provide a mathematical description of creep and do not take into account physical mechanisms inside. In geomaterials (rocks and concrete), extensive laboratory investigations suggest that the development of creep deformation is mainly associated with * Corresponding author. Tel./fax: +33-3-2043-4626. E-mail address: jian-fu.shao@eudil.fr (J.F. Shao). 0266-352X/03/$ - see front matter # 2003 Elsevier Ltd. All rights reserved. doi:10.1016/S0266-352X(03)00063-6 progressive evolution of microstructure. Typical mechanisms can involve the sub-critical propagation of microcracks in hard rocks [11,12], pore collapse in highly porous rocks [13], dissolution process due to chemical-mechanical coupling [14]. In this paper, even if the proposed model can be used for the description of creep in most cohesive frictional geomaterials, we limit the discussion to one class of sedimentary rocks, argilites. These rocks are extensively investigated in the framework of research projects related to the underground laboratory for nuclear waste storage, operated by the French National Agency for Radioactive Waste Management (ANDRA). The work presented here has been developed in the framework of the European project Modex-Rep, concerning hydromechanical modeling of experiments performed in the underground laboratory. In these materials, there is a coupling between plastic flow due to sliding of clay sheets and damage growth due to propagation of microcrack around quartz and calcite grains [15]. In the recent works by Pietruszczak et al. [16,17], a general methodology has been proposed for the description of creep in anisotropic rocks in terms of microstructural evolution. In this work, we will apply such a methodology to propose a unified model for both 550 J.F. Shao et al. / Computers and Geotechnics 30 (2003) 549–555 instantaneous and time-dependent elastoplastic behaviors of argilites. The constitutive model for long term behavior is logically formulated from the extension of the model for short term behavior. The time-dependent deformation is considered as a macroscopic consequence of progressive degradation of material structure in microscopic scale. The evolution of microstructure is quantified by an internal variable, which is a function of plastic deformation, which in turn evolves in time. The elastic properties and failure coefficient of material are affected by material degradation. The proposed model is applied to simulate short term triaxial compression tests, creep tests and relaxation tests. Comparisons between simulations and experimental data are provided. In this work, we only present the modeling of rock behaviors in dry condition (or saturated condition without pore pressure or with constant pore pressure). The extension of the model to coupled poromechanical behaviors in saturated and unsaturated conditions will be presented in other papers. 2. Constitutive model for short term behavior In this section, we start with a brief presentation of the constitutive model for short term behavior. Based on experimental data on sedimentary rocks, we propose to use an elastoplastic model for the description of fundamental behaviors in short term analysis. As mentioned above, in this work, we only present the description of mechanical behavior of dry materials. The extension of this model to poromechanical behavior of saturated and unsaturated materials is discussed in another paper [18]. Further, the main topic of this paper is the description of creep for long term analysis, the instantaneous damage due to applied stresses is neglected. However, we have proposed an extended version of the model by including an isotropic damage for the description of short term behavior in [19]. Thus, with the assumption of small strains, the total strain tensor is decomposed into an elastic part and plastic part: "ij ¼ "eij þ "pij ; d"ij ¼ d"eij þ d"pij ð1Þ The general form of stress–strain relation is written as follows: 0 "kl "pkl ij ¼ Cijkl ð2Þ 0 being the components of initial elastic stiffness with Cijkl tensor. 2.1. Description of plastic behavior Most frictional geomaterials exhibit high pressure sensitivity. The material strength, plastic flow and damage evolution depend on the mean stress. The failure criterion can not be accurately described by a Mohr–Coulomb type linear function. In this work, a quadratic function is used to describe plastic yielding and failure surface: f ¼ q2 þ A hðÞp ðp C0 Þp0 ¼ 0 p¼ kk 3 ; Sij ¼ ij q¼ pffiffiffiffiffiffiffi 3J2 ; 1 J2 ¼ Sij Sij 2 kk ij 3 ð3Þ ; ð4Þ where p is the mean stress, q deviatoric stress and Lode’s angle. The function h() defines the dependency of yield function on the Lode angle. The specific form of h() can be determined from experimental values of yield stress on the deviatoric plane. However, the emphasis of this work is the description of time dependent behavior. For the reason of simplicity, we have taken h()=1. The parameter C0 represents the material cohesion and A the frictional angle of failure surface. The fixed reference pressure p0=1 MPa is used to keep the parameter A without dimension. The plastic hardening is described by the increasing function p of the generalized plastic shear strain p. Based on experimental data obtained from hard argilites [15], we have proposed the following specific form: ð rffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2 p p p 0 0 de de ; p ¼ p 1 p ; p ¼ 3 ij ij B þ p ð5Þ 1 epij ¼ "pij trð"p Þij 3 The initial value of yield function, 0p , defines the initial plastic yield threshold and p=1 corresponding to the failure surface. The parameter B determines plastic hardening rate. Plastic flow rule is determined by the plastic potential. In most geomaterials like rocks and concrete, the plastic flow does not verify the normal dissipation rule. Plastic volumetric strain generally exhibits a transition from compressibility to dilation according to loading path. Therefore, we need to define a non-associated plastic flow rule. Based on experimental data from the argilites studied [15] and on the elastoplastic model proposed for concrete [20], the following function is used as plastic potential: g ¼ q þ AhðÞðp C0 Þln p C0 ¼0 I0 ð6Þ J.F. Shao et al. / Computers and Geotechnics 30 (2003) 549–555 The variable I0 < 0 is the stress state at the intersection between the plastic potential surface and the mean stress axis p. By using this potential, the stress space is divided into two zones, respectively corresponding to plastic compressibility and dilation. The boundary between these two zones is defined by the condition @g =@p ¼ 0. In this model, we assume that this boundary can be approximated by a linear function: fb ¼ q AhðÞðp C0 Þ ¼ 0 ð7Þ The parameter is the slope of the boundary line between compressibility-dilation zones. In Fig. 1, we show the initial yield surface, failure lotus and compressibility-dilation transition line, compared with experimental data from hard argilites [19]. 2.2. Simulation of short term responses In this section, we briefly outline the general methodology proposed for the determination of model’s parameters for short term behaviors. The proposed model involves eight parameters, which can be entirely determined step by step from direct interpretation of triaxial compression tests. The initial elastic constants (E0 and 0) can be obtained from the linear part of stress–strain curves in a triaxial compression test. The values of elastic constants may depend on the confining pressure. This feature is not considered in this work and we use the average values obtained from various tests. The parameters included in the failure criterion (A and C0) can be deduced by drawing the locus of peak stresses in p–q plane, while the parameter for the initial yield surface 0p is captured from the locus of stresses at onset of inelastic strains. We can obtain the value of parameter by identifying stress points corresponding to : "pv ¼ 0 on stress–strain curves. The plastic hardening parameter B can be obtained by drawing the function p versus plastic deviatoric strain p. For the argilite studied, we have used the following values of parameters: Fig. 1. Illustration of plastic yielding surface, failure surface and compressibility/dilation boundary in p–q plane for argilite during triaxial compression tests (after [19]). 551 E=5800 MPa, =0.14, 0p ¼ 0:017, A0=50, C=7 MPa, B=0.0021, =0.0242. We present now numerical simulations of two triaxial tests by using the developed model. These tests have been performed on hard argilites from eastern region of France [15]. In Fig. 2, we show comparisons between the numerical simulations and experimental data. There is a good agreement. However, as this kind of tests have been used in the determination of model’s parameters. These comparisons represent a simple verification of model formulation and identification procedure. Further, the emphasis of this work is the description of creep which will be presented in the next section. For the reason of clarity, we have neglected the material damage due to applied stresses in the simulations presented here. Validation of the model against other experimental data can be found in Bourgeois [19]. Nevertheless, the proposed model has the capability to describe basic behaviors of cohesive–frictional geomaterials (rocks and concrete), such as plastic deformation, material damage, pressure dependency, transition from plastic compressibility to dilation. 3. Constitutive model for long term behavior According to the general framework defined in [17], we use an unified approach for the description of both short and long term behavior of material. Thus, the constitutive model for long term behavior is logically formulated by extension of the short term model. For this purpose, we consider that the time dependent deformation is a macroscopic consequence of evolution of microstructure (microcracking, clay sheet sliding, dissolution, etc.). The evolution of microstructure is a time dependent progressive damage process. However, when the emphasis is put on the description of long term behavior, we can assume that the instantaneous damage can be neglected. The material damage is entirely a differed process. Fig. 2. Simulation of two triaxial compression tests under different confining pressures. 552 J.F. Shao et al. / Computers and Geotechnics 30 (2003) 549–555 We are developing a phenomenological model in this work. For the purpose of quantitative description of evolution of microstructure, introduce an internal variable , which is a scalar valued function of plastic deformation which in turn, depends on time. Thus, ðtÞ ¼ "pij ðtÞ; t ð8Þ Taking into account the degradation of failure surface parameter, we can write the plastic consistency condition, df ¼ @f @f @p @f dA ¼ 0 dij þ dp þ @ij @p @p @A and the plastic flow rule, d"pij ¼ dl Further, assume that for t!1 there is ! . Thus for a prescribed load history, represents a stationary state associated with microstructure equilibrium. After Pietruszczak et al. [17], it is postulated that the kinetics of microstructure evolution can be described in terms of the from the equilibrium state, measured by deviation . The evolution law may be expressed in a simple linear form: : ¼ ð9Þ where is a material constant, 2 ½0;1 , while 2 0; . The function can be formally defined by using the Laplace transforms and convolution theorems [17]. Taking (0)=0, we obtain: ðt ðtÞ ¼ ð Þe ðt Þ d ð10Þ 0 so that, upon integration by parts, ðt @ ðt Þ e d ðtÞ ¼ ðtÞ 0 @ ð11Þ Thus, the degradation parameter depends on the history of the time derivative of , whereas the exponential term represents the memory effect. In the present model, the parameter for stationary state of microstructure evolution is identified as the plastic hardening function ¼ p . Similarly to Pietruszczak et al. [17] and based on the concept of damage mechanics [21], we assume that the time-dependent degradation affects the elastic modulus and failure surface parameter A: E ¼ ð1 ÞE0 ; A ¼ ð1 1 ÞA0 ð12Þ where , 1 are two model parameters. Introducing the degradation of elastic modulus into the constitutive Eq. (2), we obtain: 0 ij ¼ ð1 ÞCijkl "kl "pkl @g @ij ð16Þ Using Eqs. (12) and (14) into the consistency condition (15), we obtain, ð1 Þ dl ¼ @f 0 @f 0 e @f A0 1 d Cijkl d"kl Cijkl "kl þ @ij @ij @A H"d ð17Þ The plastic hardening modulus H"d is given by: @f 0 @g @f @p C @pq pqrs @rs @p @p " #1=2 2 @g @g dev dev 3 @ ij @ ij H"d ¼ ð1 Þ ð18Þ We notice that the plastic flow can be decomposed into two parts, which respectively describes the instantaneous plastic deformation due to applied load (d"kl) and the plastic creep deformation due to material degradation (d). It is clear that in the absence of material degradation d=0, we recover the short term plastic behavior described by the basic plastic model. Introducing the expression of plastic multiplier and plastic flow rule into the constitutive equation, we obtain the increment of stresses for a prescribed increment of strains: : epd dij ¼ Cijkl d"kl þ "ij dt ð19Þ epd is the tangent elastoplastic stiffness tensor of where Cijkl damaged material and C"ij a second order tensor defining the variation of stresses during relaxation process, which are given by: epd Cijkl ¼ ð1 Þ 1 @f @g 0 0 0 Cijkl ð1 ÞCijpq C H"d @pq @mn mnkl ð20Þ ð13Þ 1 H"d @g @f @f 0 @g 0 C Cijpq C 0 "e þ A0 1 @pq @mn mnkl kl @A ijkl @kl "ij ¼ ð1 Þ The incremental form of constitutive equation is, 0 d"kl d"pkl dij ¼ ð1 ÞCijkl 0 dCijkl "kl "pkl ð15Þ ð14Þ 0 e Cijkl "kl ð21Þ J.F. Shao et al. / Computers and Geotechnics 30 (2003) 549–555 We notice that this incremental form of constitutive Eq. (19) can be easily implemented into a numerical integration algorithm using the finite element method, with nodal displacements as principal unknowns. From this equation, we can see that the first term corresponds to the instantaneous variation of stresses due to applied load, whereas the second term gives the time dependent variation of stresses during relaxation process induced by material degradation. 3.1. Application to creep test In the case of creep tests, the history of (effective) stresses is prescribed. We have to determine the variation of strains as functions of time. For this purpose, we give here the formulation of the proposed model for the creep path. The stress–strain relation is first inverted: 1 1 "ij ¼ D 0 kl þ "pij ; D 0 ¼ C 0 ð22Þ 1 ijkl where D0 is the initial elastic compliance tensor of intact material in drained condition. The differentiation of this equation leads to the incremental form of strain–stress relation: 1 0 D 0 dkl þ Dijkl kl d 1 ijkl ð1 Þ2 1 @f @g 1 @f @g dmn A 0 1 d þ Hd @mn @ij Hd @A @ij 553 4. Numerical simulations The proposed model is now applied to simulate creep tests and relaxation tests, performed on the argilites (data base provided by ANDRA in the framework of the European project Modex-Rep). These rocks have being studied in the framework of research projects related with the underground laboratory for nuclear waste storage operated by ANDRA. For the simulation of time dependent responses, we have used the following values of parameters: =1, 1=0.65 and =105/s. In Figs. 3–5, we show the simulations of two triaxial creep tests with different loading conditions. The confining pressure is 12 MPa. In the first case (Fig. 3), the axial stress (then deviatoric stress) is increased with a large step of 9.85 MPa followed by a small perturbation of 0.2 MPa. We can see that the proposed model correctly describes the instantaneous response, transient deformation as well as stationary state. The numerical simulation is also sensitive to the small stress perturbation. In the second case (see Fig. 4), the axial stress is applied with several loading phases and one unloading phase. Again, we have a good agreement between experimental data and numerical simulations. The unloading response is correctly reproduced. In the test d"ij ¼ ð23Þ with the plastic hardening modulus for stress-prescribed loads: " #1=2 @f @p 2 @g @g dev dev ð24Þ Hd ¼ @p @p 3 @ ij @ ij We can rewrite the strain–stress relation in the following form: : epd dkl þ ij dt ð25Þ d"ij ¼ Dijkl Fig. 3. Simulation of a creep test (E5697-5) with two monotonic phases of deviatoric loading. where Depd is the tangent elastic compliance tensor of damaged material and a second order tensor defining creep deformation: epd Dijkl ¼ ij ¼ 1 1 @g @f 0 Dijkl þ 1 Hd @ij @kl 1 @f @g D0 A0 1 2 ijkl kl Hd @A @ij ð1 Þ ð26Þ ð27Þ We can see that the total increment of strains is composed of an instantaneous part due to applied stresses and a time dependent part during creep process induced by material degradation. Fig. 4. Simulation of a creep test (E5697-5) with phases of deviatoric loading and unloading. 554 J.F. Shao et al. / Computers and Geotechnics 30 (2003) 549–555 Fig. 5. Simulation of a creep test (E104-2394-6) with various phases of deviatoric loading until failure. such as plastic deformation, induced damage, plastic compressibility–dilation transition. The time dependent deformation is seen as a macroscopic consequence of the evolution of microstructure. Thus, we have used a unified formulation for both short and long term behaviors. The evolution of microstructure is quantified through an internal variable, which can be related to time dependent process of degradation of different nature (mechanical, poromechanical, chemical–mechanical etc.). We have applied the proposed model to simulate triaxial compression tests, creep tests and relaxation tests. There is a general good agreement between experimental data and numerical predictions. The proposed model is able to describe the main features observed in experiments. Finally, even if only the saturated condition is concerned in this work, the proposed model can be extended and used for the description of argilites behavior in unsaturated condition. Acknowledgements Fig. 6. Simulation of a relaxation test. shown in Fig. 5, we have applied the axial stress by several small steps until macroscopic failure of sample. The proposed model provides a good simulation of creep strain during different step, and correctly predicts the material failure by accelerated creep deformation due to unstable degradation process. Further, with the proposed model, we can predict the diminution of elastic modulus with time, as a macroscopic consequence of microstructural evolution. In Fig. 6, we present the simulation of a triaxial relaxation test with a confining pressure of 10 MPa. Once again, there is a good agreement between numerical simulations and experimental data. The proposed model predicts well the progressive decrease of the axial stress due to creep process. 5. Conclusion A new constitutive model is proposed for mechanical behavior of cohesive frictional geomaterials (rocks and concrete). It is applied to the argilites studied in the framework of the underground research laboratory operated by ANDRA. 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