Numerical Modeling of Direct Shear Tests on Sandy Clay

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Numerical Modeling of Direct Shear Tests on Sandy Clay R. Ziaie Moayed, S. Tamassoki, and E. Izadi Abstract Investigation of sandy clay behavior is important since urban development demands mean that sandy clay areas are increasingly encountered, especially for transportation infrastructures. This paper presents the results of the finite element analysis of the direct shear test (under three vertical loading 44, 96 and 9 kpa) and discusses the effects of different parameters such as cohesion, friction angle and Young's modulus on the shear strength of sandy clay. The numerical model was calibrated against the experimental results of large-scale direct shear tests. The results have shown that the shear strength was increased with increase in friction angle and cohesion. However, the shear strength was not influenced by raising the friction angle at normal stress of 44 kpa. Also, the effect of different young's modulus factors on stress-strain curve was investigated. Keywords Shear strength, Finite element analysis, Large direct shear test, Sandy clay. E I. INTRODUCTION NGINEERING practice need to predict behavior of engineering structures founded on clay within a certain tolerance, in bridges, road, highway and embankments and cuts. The shear strength is one of the parameters affecting on the behavior of the soils from the geotechnical engineering point of view. The direct shear test is a very popular test for determining shear strength of soils. Many experimental, analytical, and numerical studies have been performed to investigate the shearing behavior of soils []-[4]. The Numerical methods enable the determination of material parameters that would have been difficult to measure in the experimental study []-[3]-[6]-[7]-[8]. The development of numerical procedures of calculations caused some important idealizations of the problem. The main ones deal with the following elements: geometry of model; loading conditions; material properties and constitutive models of materials and selection of numerical technique. The intention of the paper is to show the effects of sandy clay parameters such as cohesion, friction angle and Young's modulus on the shear strength of sandy clay. Numerical calculations were carried out to simulate the material behavior in a direct shear tester [5] and a true simple shear tester under the same initial conditions. In the numerical analysis, a finite R. Ziaie Moayed, Associate Professor, Civil Engineering Department, Imam Khomeini International University (phone: 8-837-53; fax: 8-837-53; e-mail: R_ziaie@ikiu.ac.ir). S. Tamassoki, M.Sc. Student, Civil Engineering Department, Imam Khomeini International University (e-mail: S.tamassoki86@gmail.com). E. Izadi, M.Sc. Student, Civil Engineering Department, Imam Khomeini International University (e-mail: Ehsanizadi@ikiu.ac.ir). element method was used. The material model takes into account the effect of friction angle, Young's modulus and cohesion. The soil parameters were described by the modified Drucker-prager model. The case study investigated here in this study is the one which experimentally studied [9]. II. MODIFIED DRUCKER-PRAGER MODEL The Drucker Prager/cap plasticity model has been widely used in finite element analysis programs for a variety of geotechnical engineering applications. The cap model is appropriate to soil behavior because it is capable of considering the effect of stress history, stress path, dilatancy, and the effect of the intermediate principal stress. The yield surface of the modified Drucker Prager/cap plasticity model consists of three parts: a Drucker Prager shear failure surface, an elliptical cap, which intersects the mean effective stress axis at a right angle, and a smooth transition region between the shear failure surface and the cap, as shown in Figure. Elastic behavior is modeled as linear elastic using the generalized Hooke s law. Alternatively, an elasticity model in which the bulk elastic stiffness increases as the material undergoes compression can be used to calculate the elastic strains. The onset of plastic behavior is determined by the Drucker Prager failure surface and the cap yield surface. The Drucker Prager failure surface is given by: = = () Fig. Yield surfaces of the modified cap model in the p t plane [] W the p t plane, as indicated in Figure. As shown in the figure, the cap yield surface is an ellipse with eccentricity = R in the p t plane. The cap yield surface is dependent on the third stress invariant, r, in the deviatoric plane as shown in Figure International Scholarly and Scientific Research & Innovation 6() 7

are given by: = 3 = 3 = [( ) + ( ) + ( ) ] () =( ) / =( 9 + ) / (3) = The Mohr Coulomb parameters (c, ) can be converted to Drucker Prager parameters as follows: (6) = (7) = (8) Fig. Projection of the modified cap yield on the-plane [] The cap surface hardens (expands) or softens (shrinks) as a function of the volumetric plastic strain. When the stress state causes yielding on the cap, volumetric plastic strain (compaction) results cause the cap to expand (hardening). But when the stress state causes yielding on the Drucker Prager shear failure surface, volumetric plastic dilation results, causing the cap to shrink (softening). The cap yield surface is given as: = ( ) +( / ) ( + ) = (4) Where R is a material parameter that controls the shape of used to define a smooth transition surface between the Drucker Prager shear failure surface and the cap: = ( ) +[( )( + )] ( + ) = (5) P a is an evolution parameter that controls the hardening softening behavior as a function of the volumetric plastic strain. The hardening softening behavior is simply described by a piecewise linear function relating the mean effective (yield) stress and the volumetric plastic = ( ), as shown in Figure 3. This function can easily be obtained from the results of one isotropic consolidation test with several unloading reloading cycles. Consequently, the evolution parameter, pa, can be calculated as: The cap hardening curve is obtained from the isotropic consolidation test results (C c and C s ) then we can calculate the plastic volumetric strain as []: = =.( ) (9) In this research, the soils parameters were described by the modified Drucker-Prager plastic model (Cap Plasticity) with an elastic model, using the parameters given in Table I and II. Note that the parameters given in the Table I are taken from previous studies [9]. III. FINITE ELEMENT MODELING AND ANALYSIS A. Model geometry A series of 3D finite element analysis has been conducted to simulate the large-scale direct shear tests using ABAQUS 6.9 application. The model geometry is shown in figure 4. The metal box of the direct shear apparatus was modeled by rigid surfaces in the numerical model. The interface between soil and box walls was modeled using Tie constraint by discretization method surface-to-surface capability implemented in ABAQUS/Standard. TABLE I GEOTECHNICAL PARAMETERS OF THE STUDIED SOIL [9] Symbol Quantity Value Dry unit weight 8.5 kn/m3 c Cohesion 3 kpa Friction angle 9.94 [ ] Poisson's ratio.5 E Young's modulus for normal stresses 44, 96 and 9 kpa 7, 8 and 8.5 MPa TABLE II EQUIVALENT DRUCKER-PRAGER PARAMETERS OF THE STUDIED SOIL Symbol Quantity Value a d Material Cohesion kpa Angle of Friction 5.3 R Cap Eccentricity. - Initial cap yield surface position - Transition surface radius. K Flow Stress Ratio.778 Fig. 3 Typical cap hardening behavior [] International Scholarly and Scientific Research & Innovation 6() 8

World Academy of Science, Engineering and Technology B. Loading condition The analysis was carried out considering two steps. In the first step, only normal stress was applied on tthe top surface of the model and in the second step, shear stresss was applied. All of the analyses were performed using normaal stresses of 44, 96, and 9 kpa. Fig. 6 3D mesh of modeling of direct shear test IV. RESULTS AND DISCUSSION D Fig. 4 The model geometry (the dimension of the bboxes are according to ASTM-D53) C. Boundary condition Figure 5 shows the boundary condition of the occupied model. The bottom of the model is restraained in x and z direction. In the initial and first step, thhe upper box is restrained in x, y direction and The lateral w walls of upper and beneath boxes are restrained against in movem ments in x, y and z. In the second step, the lateral walls of upper box are restrained in x, y and z, however the beneathh box is restrained in x, z and a horizontal displacement of abbout. mm is applied to the beneath box in y direction. The analysis carried out for each three t normal stress 44, 96 and 9 kpa in FE model. The resultts are in a good agreement with experimental data obtained from m the case study which mentioned before [9], the results of numerical n modeling are shown in Fig. 7. A. Effect of friction angle The effect of friction angle on sheear strength is illustrated in Figure 8. As shown in this figure, the shear strength of soil was increased with increase in fricttion angle in normal stress 96 and 9 kpa. However, the shear strength wass not influenced by raising the friction angle at normal stress off 44kPa. In normal stresses of 96 and 9 kpa, an increment in friction angle lead to increase the interlocking between soil particles and hence increasing shear strength of soil. B. Effect of cohesion hesion on shear strength of Figure 9 shows the effect of coh soil. It is found that an increase in the t magnitude of cohesion can raise the shear strength. Tab ble III gives relationship between cohesion and shear streng gth under different normal stresses. Fig. 5 Boundary conditions of moddel The FE mesh of the model is shown iin the Figure 6. Because of the composite geometry of the prroblem, the mesh was implemented using structured meshh technique in ABAQUS application. The sandy clay w was modelled by C3D8R (8-node linear brick, reduced integgration, hourglass control) elements. Dynamic analysis was occuupied here in this work. International Scholarly and Scientific Research & Innovation 6() 9

Sress (kpa).5 Experimental, 9 kpa [9] Experimental, 96 kpa [9] Experimental, 44 kpa [9] Numerical, 9 kpa Numerical, 96 kpa Numerical, 44 kpa.5..5..5 Fig. 7 Comparison of experimental and numerical modeling of direct shear test on sandy clay. 5 8 4 7 3 Fig. 8 Effect of friction angle on shear strength of sandy clay...5.5 Ø [ ] TABLE III EQUATIONS BETWEEN COHESION AND SHEAR STRENGTH Normal stress Equation R 9 kpa y = 59.73x + 53.3.99 96 kpa y = 69.94x + 745.7.99 44 kpa y = 7.x + 34.9 x: Index cohesion (kpa). y: Index shear strength (N). R : coefficient correlation. 9 k Pa 96 k Pa 44 k Pa 9 k Pa 96 k Pa 44 k Pa 5 5 3 35 4 45 Cohesion (kpa) Fig. 9 Effect of cohesion on shear strength of sandy clay C. Effect of Young's modulus: The elasticity modulus of soil is not a unique property but varies widely with stress level, stress history, time, type of loading, and soil disturbance. In general, the modulus of a soil decreases with. An increase in deviator stress.. Soil disturbance. And it increases with:. An increase in consolidation stress.. An increase in over consolidation ratio. 3. An increase in aging. 4. An increase in strain rate []. Figure shows the effect Young's modulus on stress-strain curve gradient (which is another definition for the stiffness). It is observed that increasing the elasticity modulus lead to increase the shear stiffness of the soil samples..5..4.6.8 (a) Normal stress of 9 kpa E= MPa E= MPa E=3 MPa E=4 MPa E=5 MPa International Scholarly and Scientific Research & Innovation 6() 3

.6..8 E= MPa E= MPa.4 E=3 MPa E=4 MPa E=5 MPa..4.6.8.6..8.4 (b) Normal stress of 96 kpa..4.6.8 (c) Normal stress of 44 kpa Fig. Effect of different Young's modulus on the shear strength V. CONCLUSION E= MPa E= MPa E=3 MPa E=4 MPa E=5 MPa The present study shows a set of analyses were carried out on sandy clay. The parameters such as cohesion, friction angle and Young's modulus varied in analysis and their effects on shear strength of sandy clay were investigated. The following conclusions could be drawn; () The numerical model was in good agreement with experimental results of large-scale direct shear tests on sandy clay. () The shear strength is not affected by friction angle at normal stress of 44 kpa. However, at normal stresses of 96 and 9 kpa the shear strength is increased. (3) With increase in cohesion, the magnitude of shear strength was increased. (4) An increment in Young's modulus leads to increase the stiffness of the soil. REFERENCES [] A. Iizuka, K. Kawai,, E.R. Kim, and M. Hirata, Modeling of the confining effect due to the geosynthetic wrapping of compacted soil specimens, Geotextiles and Geomembranes, vol., pp. 39 358, 4. [] A. Bagherzadeh-Khalkhali, A. Asghar Mirghasemi, Numerical and experimental direct shear tests for coarse-grained soils, Particuology, vol. 7, pp. 83 9, 9. [3] E.M. Palmeira, Soil geosynthetic interaction: modelling and analysis, Geotextiles and Geomembranes 7, pp. 368 39, 9. [4] J. WookPark, J. JoonSong, Numerical simulation of a direct shear test on a rock joint using a bonded-particlemodel, International Journal of Rock Mechanics & Mining Sciences, vol. 46, pp. 35 38, 9. [5] JG. Potyondy, Skin friction between various soils and construction materials, Geotechnique, vol. 4, pp. 339 353, 96. [6] H.J. Burd, G.T. Houlsby, Numerical modeling of reinforced unpaved roads, Proceeding of the Third International Symposium on Numerical Models in Geomechanics, Canada, 989. [7] K. Kazimierowicz-Frankowska, Influence of geosynthetic reinforcement on the load-settlement characteristics of two-layer sub grade, Geotextiles and Geomembranes, vol. 5, pp. 366 376, 7. [8] P.K. Anubhav, Basudhar, Modeling of soil woven geotextile interface behavior from direct shear test results, Geotextiles and Geomembranes, vol. 8, pp. 43 48,. [9] R. Ziaie Moayed, M. Kamalzare, Influence of Geosynthetic Reinforcement on Shear Strength Characteristics of Two-Layer Sub grade, Imam Khomeini International University Department of Engineering, June. [] S. Helwany, Applied Soil Mechanics with ABAQUS Application, Printed in the United States of America, pp. 6 66, 7. [] T. William Lambe, R.V. Whitman, Soil Mechanics, SI Version, Massachustts Institute of Technology With the assistance of H. G. Poulos University of Sydney, 98. International Scholarly and Scientific Research & Innovation 6() 3