Determination of Poisson s Ratio of Rock Material by Changing Axial Stress and Unloading Lateral Stress Test

Similar documents
Research Article Experimental Investigation on Creep Deformation Behavior of Medium-strength Marble Rock

Prediction of Elastic Constants on 3D Four-directional Braided

20. Rheology & Linear Elasticity

CHAPTER THREE SYMMETRIC BENDING OF CIRCLE PLATES

Deep buried tunnel surrounding rock stability analysis of the cusp catastrophe theory

Study on Settlement Prediction Model of High-Speed Railway Bridge Pile Foundation

Three-Dimensional Failure Criteria Based on the Hoek Brown Criterion

Geology 229 Engineering Geology. Lecture 5. Engineering Properties of Rocks (West, Ch. 6)

Mechanical Properties of Polymer Rubber Materials Based on a New Constitutive Model

The Influence of Contact Friction on the Breakage Behavior of Brittle Granular Materials using DEM

Chapter Two: Mechanical Properties of materials

Temperature Dependent Mechanical Properties of Reservoir s Overburden Rocks During SAGD Process

DEVELOPMENT OF AUTOMATIC CONTROL OF MULTI-STAGE TRIAXIAL TESTS AT THE UNIVERSITY OF MISKOLC

INFLUENCE OF WATER-SOAKING TIME ON THE ACOUSTIC EMISSION CHARACTERISTICS AND SPATIAL FRACTAL DIMENSIONS OF COAL UNDER UNIAXIAL COMPRESSION

TRESS - STRAIN RELATIONS

Stress and fabric in granular material

Theory at a Glance (for IES, GATE, PSU)

ON THE FACE STABILITY OF TUNNELS IN WEAK ROCKS

Particle flow simulation of sand under biaxial test

Damage-free coring technique for rock mass under high in-situ stresses

The Mine Geostress Testing Methods and Design

ME 2570 MECHANICS OF MATERIALS

Tunnel Reinforcement Optimization for Nonlinear Material

NONLINEARITY OF THE ROCK JOINT SHEAR STRENGTH. Y. F. Wei, a,1 W. X. Fu, b UDC and D. X. Nie a

ISMS Paper No Influence of weak planes on rockburst occurrence. Amin Manouchehrian, Ming Cai *

N = Shear stress / Shear strain


Enhancing Prediction Accuracy In Sift Theory

ANSYS Mechanical Basic Structural Nonlinearities

UNIT I SIMPLE STRESSES AND STRAINS

STANDARD SAMPLE. Reduced section " Diameter. Diameter. 2" Gauge length. Radius

An alternative design method for the double-layer combined die using autofrettage theory

Experimental Research on Ground Deformation of Double Close-spaced Tunnel Construction

Computers and Geotechnics

Back Calculation of Rock Mass Modulus using Finite Element Code (COMSOL)

Supplementary Figures

Nonlinear Analysis of Axially Loaded Concrete-Filled Tube Columns with Confinement Effect

Strain-Based Design Model for FRP-Confined Concrete Columns

Exercise: concepts from chapter 8

Mechanical Properties of Materials

Chapter 7. Highlights:

Application of a transversely isotropic brittle rock mass model in roof support design

Pressuremeter test in permafrost on the Qinghai-Tibet plateau

Longdong Loess Mechanics Characteristics and Analysis based on Conventional Triaxial Test

Methodology for the evaluation of yield strength and hardening behavior of metallic materials by indentation with spherical tip

Chapter 6: Mechanical Properties of Metals. Dr. Feras Fraige

Unloading Test with Remolded Marine Soil Sample and Disturbance Degree Assessment

Laboratory creep tests for time-dependent properties of a marble in Jinping II hydropower station

Strength, creep and frictional properties of gas shale reservoir rocks

[5] Stress and Strain

A new computational method for threaded connection stiffness

Numerical modeling of standard rock mechanics laboratory tests using a finite/discrete element approach

Borehole deformation under a stressed state and in situ stress measurement

Module 5: Failure Criteria of Rock and Rock masses. Contents Hydrostatic compression Deviatoric compression

3D MATERIAL MODEL FOR EPS RESPONSE SIMULATION

Correlation of Revised BQ System in China and the International Rock Mass Classification Systems

Experiment Study on Rheological Model of Soft Clay

Constitutive Model for High Density Polyethylene to Capture Strain Reversal

6.4 A cylindrical specimen of a titanium alloy having an elastic modulus of 107 GPa ( psi) and

Drucker-Prager yield criterion application to study the behavior of CFRP confined concrete under compression

Elastic parameters prediction under dynamic loading based on the. unit cell of composites considering end constraint effect

Bending Load & Calibration Module

4.MECHANICAL PROPERTIES OF MATERIALS

Natural Boundary Element Method for Stress Field in Rock Surrounding a Roadway with Weak Local Support

Back Analysis of Measured Displacements of Tunnels

Loading-unloading test analysis of anisotropic columnar jointed basalts *

Test Study on Uniaxial Compressive Strength of Fine Sandstone after High. Temperature. Chongbang XU1, a *

KINK BAND FORMATION OF FIBER REINFORCED POLYMER (FRP)

AVOIDING FRACTURE INSTABILITY IN WEDGE SPLITTING TESTS BY MEANS OF NUMERICAL SIMULATIONS

Structural Analysis I Chapter 4 - Torsion TORSION

Experimental study of mechanical and thermal damage in crystalline hard rock

Small-Scale Effect on the Static Deflection of a Clamped Graphene Sheet

Study on Numerical Simulation of Steam Huff and Puff Based on Deformable Medium Model

Lecture #2: Split Hopkinson Bar Systems

Experimental investigation into stress-relief characteristics with upward large height and upward mining under hard thick roof

Outline. Tensile-Test Specimen and Machine. Stress-Strain Curve. Review of Mechanical Properties. Mechanical Behaviour

Influences of material dilatancy and pore water pressure on stability factor of shallow tunnels

Stress and Strains in Soil and Rock. Hsin-yu Shan Dept. of Civil Engineering National Chiao Tung University

Advanced Structural Analysis EGF Section Properties and Bending

Plasticity R. Chandramouli Associate Dean-Research SASTRA University, Thanjavur

Chapter 2: Elasticity

Research Article EffectsofCyclicLoadingontheMechanicalPropertiesofMature Bedding Shale

Effects of Loading Rate and Pore Pressure on Compressive Strength of Rocks.

Stresses Analysis of Petroleum Pipe Finite Element under Internal Pressure

Fig. 1. Circular fiber and interphase between the fiber and the matrix.

Strength of Material. Shear Strain. Dr. Attaullah Shah

Test Study on Strength and Permeability Properties of Lime-Fly Ash Loess under Freeze-Thaw Cycles

Effect of intermediate principal stresses on compressive strength of Phra Wihan sandstone

Lecture 8. Stress Strain in Multi-dimension

A simple elastoplastic model for soils and soft rocks

Research of concrete cracking propagation based on information entropy evolution

Reliability analysis of different structure parameters of PCBA under drop impact

A Phenomenological Model of Brittle Rocks under Uniaxial Compression

548 Advances of Computational Mechanics in Australia

Shock wave speed and stress-strain relation of aluminium honeycombs under dynamic compression

Module III - Macro-mechanics of Lamina. Lecture 23. Macro-Mechanics of Lamina

The Finite Element Method II

Laboratory tests and numerical simulations of brittle marble and squeezing schist at Jinping II hydropower station, China

Numerical Simulation of Unsaturated Infilled Joints in Shear

Stress-Strain Behavior

Transcription:

Rock Mech Rock Eng DOI 10.1007/s00603-014-0586-9 TECHNICAL NOTE Determination of Poisson s Ratio of Rock Material by Changing Axial Stress and Unloading Lateral Stress Test Xiangtao Xu Runqiu Huang Hua Li Qiuxiang Huang Received: 23 July 2013 / Accepted: 4 April 2014 Ó Springer-Verlag Wien 2014 Keywords Rock Poisson s Ratio Changing axial stress and unloading lateral stress test List of Symbols Variables E Elastic modulus (ML -1 T -2 ) E 0 Deformation modulus (ML -1 T -2 ) v 1 Speed of unloading axial stress (LT -1 ) v 3 Speed of unloading lateral stress (LT -1 ) R 2 Coefficient of determination t Time (T) Axial displacement (L) u 1 Greek Letters e 1 Axial strain r 1 Axial stress (ML -1 T -2 ) r 3 Lateral stress (ML -1 T -2 ) 0 r 3 Initial lateral stress (ML -1 T -2 ) m Poisson s ratio 1 Introduction Poisson s ratio is defined as the negative value of the ratio of the radial strain and the corresponding axial strain, caused by uniformly distributed axial stress, within the scope of the material s proportional limits. It reflects the lateral deformation of the material, and is widely used in X. Xu (&) R. Huang H. Li Q. Huang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan 610059, China e-mail: xtxu@cdut.edu.cn elastic theory. Previous studies have shown that the upper and lower limits of Poisson s ratio are 0.5 and -1, respectively, and Poisson s ratio for the vast majority of materials is 1/3 (Lakes 1987; Shan et al. 2006). In the field of numerical analysis of geotechnical engineering and engineering design, Poisson s ratio is an important parameter reflecting the lateral deformation of the rock and soil mass and it directly affects the strength and deformation characteristics of the rock and soil mass. According to Code for rock tests of hydroelectric and water conservancy engineering (Code DL/T 5368-2007), the Poisson s ratio of rock material should be determined by uniaxial compression tests. Adopting this method, resistance strain gauges should be pasted onto the surface of standard samples to obtain the lateral and axial strains, and then the Poisson s ratio can be obtained by the related formula. However, there are shortcomings to this method (Lau et al. 2004; You 2007; Zhou et al. 2007): (1) strain gauges can only measure the partial deformation of the rock sample and cannot represent the overall deformation properties of the sample; furthermore, the quality and direction of pasting and other factors will affect the measurement accuracy. (2) Under a uniaxial compression condition, the lateral strain of the rock accrues earlier, and then deviates faster from the linear relationship with the axial stress than the axial strain, which leads to a nonlinear relationship compared with the definition of Poisson s ratio. (3) Most engineering rock mass experiences mechanical excavation and unloading processes, which are different from the loading process required by the specification. Based on the generalized Hooke s law, we propose a method for determining the Poisson s ratio of rock samples by changing the axial stress and unloading the lateral stress. By unloading axial and lateral stress triaxial tests (UAUL) and loading axial stress and unloading lateral

X. Xu et al. stress triaxial tests (LAUL), the Poisson s ratio of the rock material can be obtained by measuring only three mechanical indexes: the axial stress r 1, the lateral stress r 3, and the axial strain e 1. We conducted tests on cryptocrystalline amygdaloidal basalt using this method. The results were relatively consistent with the uniaxial compression tests, and their values were slightly larger but better adapted to practical engineering stress states. 2 The Theory of the Changing Axial Stress and Unloading Lateral Stress Test The Poisson s ration of rock material is generally determined at the elastic stage. The expression for the Poisson s ratio [m, Eq.(2)] can be obtained from the derivative of the generalized Hooke s law [Eq. (1)]. Equation (2) shows that if the rock material s elastic modulus E is known, through UAUL and LAUL tests, m of the rock material can be obtained by measuring the three mechanical indexes mentioned above: r 1, r 3, and e 1. This method can avoid the influence of unstable axial strain and does not require to paste resistance strain gauges on the specimen; moreover, it does not need to obtain the radial strain of the rock samples, making the method convenient and practical. Ee 1 ¼ r 1 2mr 3 ð1þ m ¼ dr 1 Ede 1 ¼ dr 1 E 2dr 3 2dr 3 2 de 1 ð2þ dr 3 3 Changing Axial Stress and Unloading Lateral Stress Test The cryptocrystalline amygdaloidal basalt used in the experiment was taken from the foothills of the Baihetan hydropower station project area of the Jinsha River. The diameter and height of the rock samples are 50 and 100 mm, respectively, and the parallelism and perpendicularity of those strictly conform to the requirements of the test specification. The instrument used in the test was the Rock High Pressure Tester, developed by the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection. During the experiment, the test was controlled by a system control program according to predetermined requirements, and the program automatically recorded the axial stress r 1, lateral stress r 3, axial displacement u 1, and time t as well as other parameters. In this test, the stress path has two patterns: the unloading axial and lateral stress mode and the loading axial stress and unloading lateral stress mode; the control mode is stress control. The stress levels considered in the tests have been chosen starting from the definition of the range of variation of the principal stresses in the case under Table 1 Parameters of the triaxial loading and unloading test Sample no. Stress path Initial lateral stress r 3 0 (MPa) Speed of unloading axial stress v 1 (MPa/min) A0 A4 UAUL 0, 3, 6, 9, 12?0.25 0.5 B0 B4 LAUL 0, 3, 6, 9, 12-0.25 0.5 Speed of unloading lateral stress v 3 (MPa/min) study. The unloading and loading parameters are shown in Table 1, and the test steps are as follows: 1. Using hydrostatic pressure, the axial stress r 1 is increased to the initial lateral stress r 3 0, maintaining r 1 = r 3. 2. The axial stress r 1 is increased to 80 % of the peak intensity, maintaining a constant r 3. 3. The axial stress and lateral stress are varied at different rates until the lateral stress is 0 or the sample would be destroyed. 4 Process of Obtaining the Rock Material s Poisson s Ratio In terms of rock material, the typical stress strain curve has many obvious stages. At the initial compaction stage, the amount of lateral expansion is little or zero, resulting in inaccurate values of Poisson s ratio m. During the elastic stage, m is constant and the specification recommend that m should be determined at this stage. At the plastic reinforced stage, the rock sample volume expands and m presents nonlinear characteristics. Thus, based on the generalized Hooke s law, m can be obtained during the elastic stage by the changing axial stress and unloading lateral stress test. Cryptocrystalline amygdaloidal basalt was used in the experiment, and Poisson s ratio was obtained by UAUL and LAUL; the results are shown in Fig. 1, Table 2, and Fig. 2, Table 3. During the unloading lateral stress tests, we ensured that the rock samples were always in the elastic deformation state. Figures 1 and 2 show that in the UAUL and LAUL, the axial stress r 1, lateral stress r 3, and axial strain e 1 maintain a very good linear relationship (the coefficient of determination R 2 = 0.8176 0.9998, mean = 0.9500), indicating that the rock samples were in the elastic stage throughout the testing process. Therefore, Eq. 2 gives m under different lateral stress values. For the cryptocrystalline amygdaloidal basalt, when the lateral stress was 3 12 MPa, the range of m was from 0.3333 to 0.4155 by UAUL and from 0.3223 to 0.4076 by LAUL. The m values obtained by the two test methods are

Determination of Poisson s Ratio of Rock Material Fig. 1 Relationship between stress and strain of unloading axial and lateral stress triaxial tests Table 2 Parameters of unloading axial and lateral stress triaxial tests Sample no. E (GPa) dr 1 /dr 3, R 2 dr 3 /de 1, R 2 m A-0 12.7 0.3065 A-1 0.5346, 0.8176-96.191, 0.9756 0.3333 A-2 0.5223, 0.8818-63.129, 0.9908 0.3617 A-3 0.5686, 0.9841-61.875, 0.9998 0.3869 A-4 0.5340, 0.9907-42.775, 0.9981 0.4155 defined only when the lateral stress r 3 = 0. From the theoretical point of view, using the above two methods, m should be equal when the lateral stress is 0. The Poisson s ratio of cryptocrystalline amygdaloidal basalt obtained by UAUL and LAUL is 0.3065 and 0.2945, respectively, and the D value is 0.012. The two results are very close, and the D value is related to factors such as the experimental error and the sample difference. similar, with the values obtained by the LAUL method slightly lower than those of the UAUL method. The results show that m and the lateral stress r 3 are positively correlated. The relation between Poisson s ratio and the lateral stress obtained by UAUL and LAUL are presented in Eqs. 3 and 4, respectively. Thus, we can see that Poisson s ratio increases linearly with lateral stress, and that the lateral stress loading on the rock samples accounts for the softening effects. m ¼ 0:0091 r 3 þ 0:3065 ð3þ m ¼ 0:0092 r 3 þ 0:2945 ð4þ The existing specification recommend that the rock material s Poisson s ratio should be determined by uniaxial compression tests, in other words, Poisson s ratio can be 5 Evaluation of the Changing Axial Stress and Unloading Lateral Stress Test In rock mass engineering calculations, choosing the exact value of Poisson s ratio can be a problem. The application of laboratory test results in practice has many flaws as rock samples are strongly affected by the complexity of engineering rocks. In practice, a general range of Poisson s ratio values is given and a specific m is chosen according to the particular situation. Tang et al. (2001) reported, based on years of laboratory and field test results and on rock mass engineering experience, that a certain correlation exists between the deformation modulus and the rock s Poisson s ratio. They developed an empirical formula to calculate the Poisson s ratio of isotropic homogeneous rock

X. Xu et al. Fig. 2 Relationship between stress and strain of the loading axial stress and unloading lateral stress triaxial tests Table 3 Parameters of loading axial stress and unloading lateral stress triaxial tests Sample no. E (GPa) drd 1 /dr 3, R 2 dr 3 /de 1, R 2 m B-0 12.7 0.2945 B-1-0.5119, 0.8400 B-2-0.5043, 0.8654 B-3-0.5000, 0.9248 B-4-0.5066, 0.9603-95.772, 0.9932-63.572, 0.9929-51.681, 0.9899-41.151, 0.9944 0.3223 0.3520 0.3729 0.4076 mass (Eq. 5) and recommended that the value could be adjusted within ±0.05 in terms of anisotropic rock mass. v ¼ 0:40 0:05 lg E 0 ð5þ 2 To obtain the physical and mechanical parameters of basalt, the Hydrochina Huadong Engineering Corporation carried out a series of laboratory uniaxial compression tests. From this experimental data, we found that the basalt s deformation modulus E 0 and elastic modulus E had a high degree of linear relationship, while a certain correlation was found between m and E (Fig. 3). Through curve fitting, the corresponding empirical formula can be obtained (Eq. 6). Using Eq. (6) the Poisson s ratio of cryptocrystalline amygdaloidal basalt was calculated as 0.27. m ¼ 0:3812 0:0426 ln E ð6þ Thus, under the changing axial stress and unloading lateral stress test, Poisson s ratio m increased with lateral stress, showing a direct linear relationship, and Cryptocrystalline amygdaloidal basalt had a m of about 0.3, which is very close to the value obtained by Eq. 6 (0.27). In rock mass engineering, rock does not appear only as pure material, and can often be in a complex stress and strain environment. Rock mass excavation is a mechanical process of unloading that affects the rock in a completely different way than the loading of rock samples under uniaxial loading tests. Therefore, Poisson s ratio obtained by the changing axial stress and unloading lateral stress test is better adapted to practical engineering stress states than that obtained by the uniaxial compression tests.

Determination of Poisson s Ratio of Rock Material Fig. 3 Diagrams of the mechanical parameters of Baihetan hydropower station basalt 6 Conclusions Based on the generalized Hooke s law, a method for determining Poisson s ratio of rock samples was found through changing axial stress and unloading lateral stress test. With UAUL and LAUL, Poisson s ratio of rock material can be obtained by measuring only three mechanical indexes: the axial stress r 1, the lateral stress r 3, and the axial strain e 1. For brittle rock samples, Poisson s ratio m and the lateral stress r 3 are positively correlated. Poisson s ratio increases with lateral stress and the lateral stress loading on the rock samples has some softening effects. According to the changing axial stress and unloading lateral stress test, Poisson s ratio m of cryptocrystalline amygdaloidal basalt is relatively consistent with the uniaxial compression tests and better adapted to the stress states found in practical engineering. Acknowledgments This research was financially supported by the National Natural Science Foundation of China (Grant No. 41302245) and the Education Department of Sichuan Province (Grant No. 12ZB010). References Lakes RS (1987) Foam structures with a negative Poisson s ratio. Science 235(4792):1038 1040. doi:10.1126/science.235.4792.1038 Lau JSO, Chandler NA (2004) Innovative laboratory testing. Int J Rock Mech Min Sci 41(8):1427 1445. doi:10.1016/j.ijrmms. 2004.09.008 Shan G, Yang W, Feng J et al (2006) Advances in test methods for Poisson s ratio of materials. Mater Rev 20(3):15 20 (in Chinese) Tang D, Zhen J, Hu Y et al (2001) Discussion on testing and interpretation for Poisson s ratio. Chin J Rock Mech Eng 20(Supp.):1772 1775 (in Chinese) You M (2007) Mechanical properties of rocks. Geological Publishing House, Beijing (in Chinese) Zhou X, Zhang Y (2007) Constitutive model for rock masses under unloading and its application. Science Press, Beijing (in Chinese)