Using the Pietruszczak-Mroz anisotropic failure criterion to model the strength of stratified rocks

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Abstract

The strength of stratified rocks is closely related to their inherent structural anisotropy, which cannot be accurately represented by the isotropic failure criteria. In this study, the Pietruszczak-Mroz (PM) anisotropic failure criterion was used to describe the directional dependency of strength of stratified rocks. In the meridian plane, the frictional coefficient was established by incorporating an anisotropic variable defined as a joint invariant of fabric and stress tensors. In the deviatoric plane, the anisotropic failure surface was characterized by a smooth shape function of Lode's angle. The material parameters for the failure criterion can be determined using the triaxial test. The PM anisotropic criterion was utilized to predict the anisotropic strength of specific stratified rocks. Analysis of the experimental data validated the assertion that PM anisotropic criterion has excellent ability to model the anisotropic strength features of stratified rocks.

Introduction

Naturally, sedimentation of flaky and lathy mineral grains has produced rocks exhibiting inherent stratified structure, which is the main cause of rock anisotropy.1,2 Typically, stratified rocks are considered to be transversely isotropic (cross-anisotropic).3 Unlike the isotropic materials, stratified rocks display different strength behaviors related to the loading direction, with respect to the bedding plane.4 Thus, the classical isotropic failure criteria, such as Mohr–Coulomb, Drucker-Prager, and Hoek–Brown, are not suitable for describing the anisotropic strength of stratified rocks. In predicting the direction-dependent strength of stratified rocks in the practice of geotechnical engineering, it is crucial to develop anisotropic failure criterion.

The conventional approach was to modify an existing isotropic criterion by adopting different cohesion and friction angles to describe the orientation-dependent strength behaviors of anisotropic geomaterials. With this approach, the cohesion and friction angle of the anisotropic criteria were frequently regarded as function of orientation of bedding planes.5, 6, 7, 8, 9, 10, 11, 12 These functions, however, were largely empirical and lacked the essential support of physical implications.

As revealed by a significant number of physical experiments, it is the existence of a bedding structure that results in the strength discrepancy associated with loading direction.9,10,13, 14, 15, 16 Consequently, researchers4,17, 18, 19, 20, 21, 22 have attempted to construct their own anisotropic failure criteria with serious mathematic consideration on the mechanical effects of bedding planes. For instance, Pietruszczak and Mroz17,18 introduced a fabric (microstructure) tensor to describe the bedding structure of geomaterials and defined an anisotropic variable as a joint invariant of the fabric and stress tensors. The anisotropic variable could comprehensively reflect the structural and mechanical effects of the bedding structure. An anisotropic strength theory based on the anisotropic variable was then developed by Pietruszczak and Mroz.17,18 Within this theoretical framework, Pietruszczak and his co-authors17, 18, 19, 20 proposed a series of Pietruszczak-Mroz (PM) anisotropic failure criteria.

Inspired by the concept of fabric tensor, Lade23 proposed a general 3D anisotropic failure criterion for cross-anisotropic frictional materials; Xiao et al.24 and Kong et al.25 developed the SMP (Spatially Mobilized Plane) cross-anisotropic failure criteria; Gao et al.26 proposed a generalized anisotropic failure criterion for geomaterials; Parisio and Laloui27 combined the Van Eekelen model with PM anisotropic variable to formulate a VEPM anisotropic failure criterion. These criteria have been successfully used for predicting the strengths of a variety of anisotropic geomaterials.

PM anisotropic strength theory has now become a foundation for building the anisotropic constitutive models. Pietruszczak, Lydzzba and Shao28,29 proposed anisotropic elastoplastic and creep models for inherently anisotropic rocks and can be traced back to related researches. Based on the concept of fabric tensor, Chen et al.30 proposed anisotropic constitutive models to explore the coupled elastoplastic damage behaviors of anisotropic rocks. Moreover, on the micromechanical level, Shen and Shao31 presented a micromechanical model for modelling the elastoplastic behavior of anisotropic sedimentary rocks. Pietruszczak and Oboudi32 and Chen et al.33 had studied the induced anisotropy and damage behaviors of soils and rocks, respectively.

The aforementioned researchers28, 29, 30, 31,33 mainly conducted their constitutive modelling on a type of Tournemire shale in France. In terms of practical utilization, Parisio and Laloui27 adopted PM anisotropic failure criterion to simulate the conventional triaxial compressive strengths of a variety of stratified rocks. Although they extended applications of the PM anisotropic failure criterion, the prediction of true triaxial compression strength under complex stress-loading states remains to be developed.

This is exactly the aspect of applied research that this paper is focused on. This study reviewed the PM anisotropic failure criterion to present the combined effects of stress and bedding structure on the anisotropic strength. Then, applicability of the PM anisotropic failure criterion in predicting the anisotropic strengths was verified by comparing with the conventional and true triaxial tests on several stratified rocks. More practically, this study can provide an example for the engineering application of the PM anisotropic failure criterion.

Section snippets

Fabric tensor and loading direction

Pietruszczak and Mroz17,18 suggested a fabric tensor aij to quantitatively describe the anisotropic structure in geomaterials. As shown in Fig. 1a, the unit vectors vi, si and ti (i=1,2,3) denote the three principal axes of a stratified rock material. Then, using a spectral decomposition, aij can be expressed as follows17,18:aij=avvivj+assisj+attitjwhere, av, as and at are the three principal values of aij.

Stress space and loading direction

As shown in Fig. 1a, σij represents the stress tensor at a point. Then, the magnitudes of

Formulations of the PM anisotropic failure criterion

In this study, the mathematical expression of the PM anisotropic failure criterion is presented in Eq. (18), which is formulated by Pietruszczak and Haghighat.19F=qkηg(θ)(p+C)=0where p, q and θ are the mean stress, deviatoric stress and Lode's angle, respectively. They are defined as follows:p=13σkk,q=3SijSij/2andθ=13sin1(27J32q3)where, Sij=σijpδij denotes the deviatoric stress tensor. J3=detSij is the third invariant of the deviatoric stress tensor.

Additionally, in Eq. (18), g(θ) describes

Evaluations of the PM anisotropic failure criterion

A series of previously published test data for different stratified rocks were used to evaluate the PM anisotropic failure criterion. Before evaluations, the material parameters required in the PM anisotropic failure criterion had been firstly determined. With the material parameters, this criterion was then used to predict the anisotropic strengths of the stratified rocks. Modelling results were plotted using solid or dashed curves and compared against the experimental data, which were shown

Discussion and conclusion

Under the conventional triaxial condition (σ2=σ3), the PM anisotropic failure criterion can appropriately predict the anisotropic strength of stratified rocks influenced by confining pressure σ3 and bedding plane dip angle β. The modelling results agree well with the conventional triaxial data.

As for the true triaxial tests with constant σ3, the PM anisotropic failure criterion adequately captures the effects of bedding plane dip direction α, dip angle β and intermediate principal stress σ2 on

Declaration of competing interest

We solemnly declare: No conflict of interest exits in the submission of this manuscript.

Acknowledgements

The work presented in this paper was financially supported by the National Natural Science Foundation of China (Grant No. 51609070, 51708199) and by Fundamental Research Funds for the Central Universities (Grant No. 531118010069). We would like to express gratitude to the anonymous reviewers for their valuable comments, which have greatly improved this research.

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