Study on the effect of micro-geometric heterogeneity on mechanical properties of brittle rock using a grain-based discrete element method coupling with the cohesive zone model

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Abstract

The micro-geometric heterogeneity has a significant effect on the mechanical behavior and failure mode of brittle rocks. To study the influence of the size distribution and preferred orientation of mineral grains, a statistical grain-based discrete element method coupling with the cohesive zone model is proposed on the basis of the universal distinct element code (UDEC) in this study. First, a mixed-mode cohesive model was developed and implemented in UDEC to simulate the nonlinear behavior of grain interfaces. Then, a micro-parameter calibration procedure based on the Plackett-Burman design, central composite design, and particle swarm optimization was established to reproduce the macro-properties of the Lac du Bonnet granite. Finally, the strength characteristics, deformation response, and failure mode of rocks were numerically examined using the proposed model by varying the size distribution and preferred orientation of mineral grains. The relationship between the micro-geometric heterogeneity and the uniaxial compressive strength, the crack initiation stress, the crack damage stress, the elastic modulus, the Poisson's ratio, and the failure mode of rocks are obtained respectively.

Introduction

Rock is an aggregate of minerals with a certain structure. Due to the diversity of its microstructure, rock is a typical heterogeneous material. This heterogeneity may lead to significantly different deformation and strength characteristics of the same type of rock with similar mineral content.1, 2, 3 In the past few decades, many researchers have studied the effect of material heterogeneity on rock strength and deformation.4, 5, 6 Their research shows that this effect is mainly caused by the local stress concentration at the crystal scale, which leads to the occurrence of rock failure.7 This means that the inherent mechanism of rock failure needs to be studied at the grain scale. Generally, the sources of rock heterogeneity can be divided into two categories: (a) Micro-geometric heterogeneity8: due to the variability of micro-geometric factors, such as the grain size distribution, and the shape and preferred orientation of the grain; (b) Material properties heterogeneity9: due to the difference of mechanical properties among mineral grains and their contacts. In this study, we focused on the effects of micro-geometric structures on rock strength and deformation.

It has previously been observed that many mechanical parameters that are related to the rock strength, including the uniaxial compressive strength, Brazilian splitting strength, and Young's modulus, are supposed to decrease with an increasing grain size, especially when the grain size is smaller than 1 mm.10, 11, 12, 13 Rock strength is usually regarded as a function of the mineral grain size, whose relationship varies with the type of rock. For instance, for granite, the rock strength decreases linearly14 or logarithmically12 with the increase of the average mineral grain size, while for marble, quartzite, and limestone, the rock strength usually decreases with the increase of the square root of the average grain size.15,16 It is worth noting that there is no consensus on the influence of the grain size distribution on rock mechanical properties. Nicksiar and Martin17 point out that the ratio of crack initiation stress and uniaxial compressive strength (normalized CI stress) shows only minor variation as the heterogeneity decreases. But Liu et al.9 argued that the grain size distribution had a significant effect on normalized CI stress. Specifically, normalized CI stress decreases with the increase of heterogeneity. Therefore, the influence of the grain size distribution on rock mechanical behavior still needs further study. To the best of our knowledge, the mechanical behavior of rock is not only affected by the grain size distribution, but also related to the preferred orientation of grains.18 However, it is difficult to precisely control these two factors in the experiment, which may lead to inaccurate results.

In recent years, with the rapid development of numerous advanced computational methods, numerical simulations have become an alternative tool for studying rock mechanics problems. As a promising research method, numerical simulation could overcome those difficulties encountered in laboratory experiments.19,20 In order to realistically simulate the failure process of rocks, more and more researchers8,21, 22, 23, 24 are paying attention to the grain-based modeling methods (GBM). GBM makes it possible to perform quantitative analysis on crystals using information such as the mineral composition and size distribution inside the rock. And this modeling method has been successfully applied to reproduce the mechanical characteristics of various types of rocks.25, 26, 27 Currently, GBM has been realized in PFC and UDEC for studying rock mechanics and failure behavior. In PFC-GBMs, each mineral grain consists of several parallel-bonded circular/spherical particles, and employ smooth-joints contact to simulate the boundary properties.28 One of the disadvantages of PFC-GBMs is that the particle is circular/spherical in shape, which results in a high inherent porosity and makes the method difficult to simulate low-porosity rocks. In UDEC-GBMs, polygonal or triangular blocks are used to represent mineral grains. Due to a highly interlocked blocky structure, UDEC-GBMs will not suffer from the porosity problem. Therefore, this paper uses UDEC-GBMs to study the mechanical behavior and failure process of brittle rocks. However, conventional UDEC-GBMs still have the following problems, which limit the wide use of grain-based models: (a) In the conventional UDEC-GBMs, the Coulomb-slip model is adopted as the contact model between blocks.29 Although the Coulomb-slip model is widely used to study the deformation behavior and strength characteristics of rock materials, this linear contact model almost ignores the fracture process zone (FPZ) at the crack tip.30 Nevertheless, it is unrealistic to ignore the size of FPZ for many geotechnical materials, such as soil, rock and concrete.31 Many studies have revealed that a mixed-mode cohesive zone model should be adopted to capture the non-linear characteristics of FPZ and to reproduce the possible fracturing behavior of brittle material.32,33 (b) Traditional micro parameter calibration is through trial and error, which is usually time-consuming and cannot fully reflect the internal relationship between macro and micro parameters.

In this study, we adopt a novel grain-based discrete element model to quantitatively study the influence of the grain size distribution and the preferred orientation of grains on the macroscopic mechanical behavior of rocks. To simulate the possible fracturing behavior of brittle rock, the mixed-mode cohesive zone model was implemented in the UDEC code. Moreover, a combination calibration method, termed as PB–RSM–PSO, was proposed for the calibration of micro parameters. Based on the proposed model, the relationship between micro parameters and the macro response of rocks was studied. The rest of this paper is organized as follows: The theory of a mixed-mode cohesive zone model is introduced in Section 2; In section 3, the calibration approach for micro parameters involved in the proposed UDEC-GBM is discussed; In section 4, by performing a series of numerical tests, the influence of the grain size distribution and the preferred orientation of grains on the rock strength and deformation is studied; And finally a conclusion of the work is provided in Section 5.

Section snippets

Introduction of cohesive zone model

According to Sinha and Walton,34 homogenous elastic UDEC-GBMs are able to simulate the characteristic stress and peak strength of brittle materials under unconfined and low confinement conditions. In this study, a homogenous block model (uniform block and contact properties) is adopted to study the effects of micro-geometric structures, which means that the block is elastic and the failure of the model is controlled by the contact constitutive law.

The concept of cohesive zone model was first

Selection of calibration parameters

The selection of micro parameters greatly affects the accuracy of DEM simulations. These parameters are considered as a description of the mechanical behavior of materials at the microscale, i.e. a realistic representation of the physical properties of the mineral grains at the microscale. The most ideal way to obtain the value of a parameter is through laboratory tests, which unfortunately are not always possible. Therefore, it is necessary to calibrate the micro parameters prior to numerical

Model generation

It is well known that the randomly orientated mineral grains of the granite (Fig. 9a) could be approximately simulated by Voronoi polygons. In fact, the recrystallized quartz, as the primary mineral in granite, has the possibility to have an obviously preferred orientation in some cases, as illustrated in Fig. 9b. However, unfortunately, the existing grain-based models failed to control the size distribution and preferred orientation of mineral grains simultaneously. To tackle this problem, the

Conclusions

This research quantitatively studies the effect of the grain size distribution and the preferred orientation of grains on the mechanical properties and microcracking behavior of brittle rocks. First, a mixed-mode cohesive model was successfully implemented in UDEC to simulate complex micro-fracturing behaviors of brittle rocks. Next, the PB-RSM-PSO method was proposed to obtain the nonlinear relationship between the microscopic parameters and the macroscopic parameters, and was successfully

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (Grant No. 11802058, 41525009, 41831281).

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