A Hoek–Brown criterion with intrinsic material strength factorization

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    International Journal of Rock Mechanics & Mining Sciences 45 (2008) 210222

    A HoekBrown criterion with intrinsic material strength factorization

    Thomas Benza,, Radu Schwabb, Regina A. Kautherb, Pieter A. Vermeera

    aInstitute of Geotechnical Engineering, Universitat Stuttgart, Pfaffenwaldring 35, 70569 Stuttgart, GermanybFederal Waterways Engineering and Research Institute, Kussmaulstr. 17, 76187 Karlsruhe, Germany

    Received 24 October 2006; received in revised form 24 March 2007; accepted 6 May 2007

    Available online 21 June 2007

    Abstract

    Probably the most common failure criterion for rock masses is the HoekBrown (HB) failure criterion. The HB criterion is anempirical relation that extrapolates the strength of intact rock to that of rock masses. For design purposes, the HB criterion is often fitted

    using equivalent Coulomb failure lines. However, equivalent MohrCoulomb (MC) shear strength parameters cannot yield the same

    failure characteristics as the HB criterion. The curvilinear HB criterion automatically accommodates changing stress fields; the MC

    criterion does not. The extended HB criterion proposed in this paper provides a solution to this problem by incorporating an intrinsic

    material strength factorization scheme. The original HB criterion is additionally enhanced by adopting the spatial mobilized plane (SMP)

    concept, first introduced by Matsuoka and Nakai (MN). The SMP concept accounts for the experimentally proven, influence of

    intermediate principal stresses on failure, which is disregarded in the original HB criterion. A small set of examples provided at the end of

    the article gives a good indication of the merits of using the extended HB criterion in practical applications.

    r 2007 Elsevier Ltd. All rights reserved.

    Keywords: HoekBrown; MatsuokaNakai; Material strength factorization; Slope failure

    1. Introduction

    This paper is concerned with the numerical simulation of

    rock masses using the empirical HoekBrown (HB) failure

    criterion, which has been found very useful in engineering

    practice. The HB criterion takes into account the proper-

    ties of intact rock and introduces factors to reduce these

    properties on the basis of joint characteristics within the

    rock mass. Originally derived from studies on the behavior

    of jointed rock masses [1], the original criterion was

    subsequently changed in order to extend its use to the

    behavior of weak rock masses. In the following, thegeneralized HB criterion (2002-Edition) presented in Hoek

    et al. [2] is adopted. Hoek et al. derived equivalent

    parameters for the MohrCoulomb (MC) failure criterion

    using a best-fit procedure within a given stress domain.

    Although often used in practice, these parameters cannot

    reflect the non-linear features of the failure criterion they

    have been derived for. Examples in the literature prove that

    the ultimate load in a boundary value problem employing

    the HB criterion might significantly differ from that found

    in an equivalent MC analysis e.g. [3]. The incorporation of

    a material strength reduction scheme in the HB criterion

    directly is therefore of high value, particulary for its design

    oriented use.

    The brief description of the HB criterion and its basic

    numerical implementation in the first part of this paper are

    followed by two sections which detail the new features

    added to the constitutive model: First the original HB

    criterion is extended by the Spatial Mobilized Plane (SMP)

    concept proposed by Matsuoka and Nakai (MN) [4,5]. It isshown here that the resulting criterion accounts reasonably

    well for the intermediate principal stresss influence on

    failure. Second, an internal material strength reduction

    scheme is introduced. Without the need to extract

    equivalent MC parameters, the HB criterion with internal

    strength reduction can be used in ultimate load design

    directly.

    Although rock masses typically show both inherent

    anisotropy and stress induced anisotropy caused by the

    evolution of crack systems in an inhomogeneous stress

    ARTICLE IN PRESS

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    1365-1609/$- see front matter r 2007 Elsevier Ltd. All rights reserved.

    doi:10.1016/j.ijrmms.2007.05.003

    Corresponding author.

    E-mail address: [email protected] (T. Benz).

    http://www.elsevier.com/locate/ijrmmshttp://dx.doi.org/10.1016/j.ijrmms.2007.05.003mailto:[email protected]:[email protected]://dx.doi.org/10.1016/j.ijrmms.2007.05.003http://www.elsevier.com/locate/ijrmms
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    field; the HB criterion was initially introduced to predict

    failure in quasi-isotropic rock masses. The constitutive

    model proposed here is likewise isotropic. In the following,

    the sign convention of soil mechanics is used: Compressive

    stress and strain is taken as positive. Tensile stress and

    strain is taken as negative. All stresses are taken to be

    effective values.

    2. The constitutive model and implementationbasic form

    2.1. Governing equations of the Generalized HB criterion

    At failure, the Generalized HB criterion relates the

    maximum effective stress s1 to the minimum effective stress

    s3 through the equation:

    s1 s3 sci mbs3

    sci s

    a

    , (1)

    where mb extrapolates the intact rock constant mi to the

    rock mass:

    mb mi exp GSI 100

    28 14D

    , (2)

    sci is the uniaxial compressive strength of the intact rock,

    and s and a are constants which depend upon the rock

    masss characteristics:

    s exp GSI 1009 3D

    , 3

    a 12 1

    6exp

    GSI15 exp

    203 . 4

    The Geological Strength Index (GSI), introduced by Hoek

    [6] provides a system for estimating the reduction in rock

    mass strength under different geological conditions. The

    GSI takes into account the geometrical shape of intact rock

    fragments as well as the condition of joint faces. Finally, D

    is a factor that quantifies the disturbance of rock masses. It

    varies from 0 (undisturbed) to 1 (disturbed) depending on

    the amount of stress relief, weathering and blast damage as

    a result of nearby excavations. For the significance of the

    parameters and their values see [7].

    The HB criterion can be more conveniently written as

    fHB s1 s3 ~fs3 with ~f sci mb s3sci s

    a. (5)

    2.2. Basic implementation

    The HB failure surfaces in 3D principal stress space can

    be written piecewise as

    fHB;13 s1 s3 ~fs3. (6)

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    Fig. 1. HoekBrown failure criterion in principal stress space (left) and in the deviatoric plane (right). (a) Basic HoekBrown criterion (HB). (b) Extended

    HoekBrown criterion (HBMN).

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    The resulting geometric representation is showm in Fig. 1.

    Trial stresses outside the yield surface are returned to it

    with a non-associated flow rule. The plastic potential

    function is defined after [8] as

    gHB;13 S1 1 sin cmob1

    sin cmob S3, (7)

    where Si are the so-called transformed stresses

    Si si

    mbsci s

    m2b(8)

    and cmob is the mobilized angle of dilatancy. With

    increasing minor principal stress, the initial angle of

    dilatancy c is reduced to 0 in a linear manner:

    cmob sc s3 st

    sc; cX0, (9)

    where sc is the minor principal stress at which zero

    volumetric plastic flow is reached and stscis=mb is the

    maximum allowable tensile stress. The initial angle ofdilatancy c and the threshold stress sc are model

    parameters. In the basic implementation, the model

    behavior is assumed to be linear elasticperfectly plastic.

    The elastic stiffness of the model is defined by two elastic

    constants: the shear modulus G and Poisons ratio n.

    However, a linear elastic law cannot accurately describe the

    deformation characteristics of rock masses under low stress

    levels. At low stress levels, the influence of microcracks on

    the stressstrain law should also be considered. The pre-

    failure deformation characteristics of rock masses due to

    reversible closure of microcracks are discussed briefly in

    Appendix A.

    3. The influence of the intermediate principal stress on

    failure

    The influence of the intermediate principal stress on rock

    failure has been experimentally investigated by numerous

    researchers, e.g. [914]. From that, it is commonly

    acknowledged, that such an influence exists for most rocks.

    As a consequence of the experimental findings, a number of

    failure criteria that account for the influence of all three

    principal stresses on failure have been proposed, e.g.

    [12,13,15,16]. Yet, the somewhat simpler MC and HB

    criteria are still the most often used failure criteria in

    engineering practice.

    Recently, Al-Ajmi and Zimmermann [17,18] pointed

    out the relation between the linear form of the Mogi

    criterion, which accounts for the intermediate principalstress, and the MC criterion. With their MogiCoulomb

    relation it is possible to overcome the cumbersome

    process of parameter selection in the original Mogi

    criterion, and hence, to obtain a criterion which is as

    simple to use as the MC criterion and which at the same

    time accounts for the intermediate principal stress

    influence on failure. In the following, the HB criterion is

    similarly enhanced. However, rather then using Mogis

    theory, the SMP concept by MN [4,5] is applied to the HB

    criterion. The model simulations presented at the end of

    this section reveal that the SMP concept is not only a

    reasonable assumption for soils (for which it was originally

    proposed) but also for rocks. In contrast to Mogis theory,

    the SMP concept guarantees the convexity of the resulting

    failure surface and therefore fulfills Druckers stability

    postulate [19].

    3.1. The concept of SMPs by MN

    MN [4,5] proposed the concept of a SMP, which defines

    the plane of maximum spatial mobilization in principal

    stress space. The SMP is geometrically constructed by

    deriving the mobilized friction angles for each principal

    stress pair separately (Fig. 2, left) and sketching therespective mobilized planes in principal stress space

    (Fig. 2, right). MN derived their failure criterion by

    limiting the averaged ratio of spatial normal stress to

    averaged spatial shear stress on this plane. The resulting

    failure stress ratio can be expressed in stress invariants:

    fMN I1I2

    I3 a 0 with a 9 sin

    2 j

    1 sin2 j , (10)

    where I1, I2, and I3 are the first second and third invariant

    of the stress tensor respectively and a is defined such that

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    mob23mob13

    mob12

    3 2 1

    2

    Mobilized

    Planes

    45+mob12

    2

    II

    III

    3

    1I

    45

    45

    mob232

    mob132

    +

    +

    SMP

    Fig. 2. The SMP concept after Matsuoka and Nakai. Left: Three mobilized planes where the maximum shear stress to normal stress ratio is reached for

    the respective principal stresses. Right: SMP in principal stress space.

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    the MN failure criterion is identical to the MC criterion in

    triaxial compression and extension.

    3.2. A mixed formulation of HB and MN

    For a mixed formulation of the HB and the MN criteria,

    the HB criterion is first expressed in triaxial p2

    q space. TheRoscoe invariants p and q are functions of the first and

    second invariant of the stress tensor respectively. In triaxial

    conditions, they simplify to:

    p 13saxial 2slateral,

    q saxial slateral. 11In triaxial compression and extension, the mean stress p is

    given as

    pc s1 2s3

    3,

    pe 2s

    1 s

    33 , 12

    respectively. When substituting Eq. (12) in Eq. (6), the

    following slopes are obtained:

    Msc;HB q

    pc 3s1 s3

    s1 2s3 3

    ~f

    ~f 3s3, 13

    Mse;HB q

    pe 3s1 s3

    2s1 s3 3

    ~f

    2 ~f 3s3, 14

    where the superscript s indicates secant values, and the

    subscripts c and e indicate triaxial compression and

    extension, respectively. Tangents to the HB yield criterioncan be obtained by differentiation

    dq

    dp dq

    ds3

    dp

    ds3

    1, (15)

    which leads to:

    Mtc;HB 3 ~f

    0

    ~f0 3

    , 16

    Mte;HB

    3 ~f0

    2 ~f0 3.

    17

    The slopes of the MC failure criterion on the other hand

    are constant:

    Mc;MC 6sin j3 sin j , 18

    Me;MC 6sinj

    3 sin j , 19

    where again, the subscripts c and e indicate triaxial

    compression and extension, respectively. A graphical

    illustration of the different slopes calculated above is givenin Fig. 3. By equating the slopes derived for the HB

    criterion with the MC slopes, the following locally fitted

    equivalent friction angles can be found:

    sin js ~f

    ~f 2s3 st, 20

    sin jt ~f0

    ~f0 2

    , 21

    where the subscripts s and t again distinguish between the

    different local fitting procedures introduced above. Forboth, the secant and the tangent fitting approach, the

    resulting equivalent friction angle is a function of the minor

    principal stress s3.

    For a given equivalent friction angle sin j, the SMP

    concept of MN, can be expressed as function of the Lode

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    1[kPa]

    3[kPa]

    t

    300

    200

    100

    50 100 150 200

    Triaxial compression

    q

    =

    13

    [kPa] 200

    100

    1

    1

    50 100 150 200

    p [kPa]

    Mtc,HB Ms

    c,HB

    ptt pt

    s

    Evaluation point

    p = f(3)+3/3~

    Fig. 3. The HB criterion in a s12s3 plane (a) and its representation in a triaxial p

    2q plane (b).

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    angle y as follows [20]:

    Ly ffiffiffi

    3p

    d

    2ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffid2 d 1

    p 1cosW

    with

    W 16arc cos 1 27d

    21 d22d2 d 1sin

    23y

    for yp0;

    W p3 1

    6arc cos 1 27d21 d2

    2d2 d 1sin23y

    for y40;

    8>>>>>>>:

    and d 3 sinj3 sinj , 22

    where the Lode angle y is defined as

    y 13arc sin 3

    ffiffiffi3

    pJ3

    2J3=22

    !(23)

    and J2 and J3 are the second and third invariant of the

    deviatoric stress tensor, respectively.

    By way of Eq. (22), the deviatoric shape of the MN

    criterion can now be assigned to the HB criterion bywriting

    fHB;MN q LMc;HBp p, (24)where

    p pst

    scis

    mbfor Mc;HB:Msc;HB

    ptt ~f

    Mc;HB

    ~f

    3 s3 for Mc;HB:Mtc;HB

    8>>>>>: (25)

    and L is varying between 1 andMe;MCMc;MC

    for triaxial

    compression and extension respectively. For a graphical

    interpretation of the mean stresses pst and ptt see Fig. 3.In Eq. (24) the influence of the intermediate stress in the

    new failure criterion can either be defined as equal to that

    in a MN criterion with identical apex (Mc;HB Msc;HB), orequal to that in a MN criterion that fits tangentially to the

    HB criterion (Mc;HB Mtc;HB) in triaxial compression andextension. The tangential approach guarantees identical

    instantaneous friction angles of both criteria being

    combined. The secant approach does not. Therefore, the

    tangential approach is employed in the remainder of this

    paper. The tangential approach is from here on referred to

    as the HBMN criterion.

    In the numerical scheme, the previously applied potentialfunction (Eq. (7)) is not used in combination with the

    HBMN model as it would introduce corner problems.

    A DruckerPrager potential is employed instead:

    gHB;MN q p6sincmob

    3 sincmob

    , (26)

    where again, p and q represent the Roscoe invariants and

    cmob is the mobilized angle of dilatancy as defined

    previously in Eq. (9). The plastic potentials sole function

    is to give the plastic strain increments after brittle failure. It

    should be noted that the above choice of a radial deviatoric

    flow direction is primarily a model assumption for

    simplicity. The radial deviatoric flow may be replaced by

    another flow direction if experimental evidence suggests to

    do so.

    3.3. Evaluation of the HBMN criterion

    A comparison of true triaxial test data with failure

    predictions of the HB and the HBMN criterion are given inFigs. 4 and 5, respectively. All experimental data for brittle

    rock failure used in this comparison are taken from [21].

    In their own study, Colmenares and Zoback applied a

    grid search for material parameters that minimize the

    mean standard deviation misfit of the criteria investigated.

    Their findings for the best fit material parameters of the

    HB criterion are summarized in Table 1. Fig. 4 illustrates

    the resulting fit of the HB criterion to the available

    test data.

    As a consequence of the applied best fit procedure, the

    unconfined compressive strength is overestimated by

    the HB criterion. This can for example be clearly obser-

    ved in the KTB Amphibolite test. In this test, the

    unconfined compressive strength is explicitly tested to

    158pscip176 MPa. The best fit for the original HB

    criterion yields an unconfined compressive strength of

    sci 250 MPa. The HBMN criterion however, givesvery reasonable results when using the actual tested

    unconfined compressive strength of sci 175 MPa asinput to the model. Similar observations can be made

    for the four remaining rock types considered (Fig. 5).

    Therefore, only the unconfined compressive strength

    input to the HBMN model is addressed in a first

    model evaluation step. All other material parameters

    are taken to be equal to the best fit parameters given inTable 1.

    Table 2 summarizes mean standard deviation misfits of

    the two failure criteria to the available test data. In

    conclusion, the HBMN criterion performs better than the

    HB criterion in all tests. The HBMN criterions minimum

    misfit can be further reduced when the input parameter miis addressed, too: the minimum misfits shown in Table 2

    were obtained in a model parameter optimization process,

    similar to the one described in [21].

    4. Ultimate limit state design with the HB criterion

    For slopes, the factor of safety is traditionally defined as

    the ratio of the actual shear strength to the minimum shear

    strength required to prevent failure [22]. As the HB

    criterion makes no use of Coulomb shear strength

    parameters, its application in ultimate limit state design is

    not straight forward. Almost all approaches to apply the

    HB criterion in ultimate limit state design found in

    literature rely on fitting procedures. Sometimes the HB

    criterion is locally fitted using a MC criterion (e.g. [23]). In

    reducing the locally fitted MC criteria, a reduced HB

    criterion can be computed. Hammah et al. [24] propose a

    procedure to fit such a point-wise reduced HB criterion

    using the generalized HB equation in combination

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    with a new set of HB parameters. Most often however, a

    best MC fit of the HB criterion within a specified stress

    domain is strived for (e.g. [2,25]). Then the problem is

    reduced to the determination of two equivalent MC

    parameters.

    An ingenious solution to the problem of finding

    equivalent strength parameters is proposed by Hoek et al.

    [2]. They calculate equivalent shear strength parameters

    within the stress domain stpsigma3ps3max by balancing

    the areas above and below the straight MC failure line

    enclosed by the curved HB criterion:

    sinj 6ambs mbs3na1

    21 a2 a 6ambs mbs3na1, 27

    c sci1 2as 1 ambs3ns mbs3na1

    1 a2 affiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi

    1 6ambs mbs3na1=1 a2 aq ,

    28where s

    3n s3max

    sci.

    ARTICLE IN PRESS

    Dunham Dolomite1200 750

    625

    500

    375

    250

    125

    00 125 250 375 500 625 750

    1000

    800

    12001000800

    600

    600

    400

    400

    200

    2000

    0

    300

    250

    200

    150

    100

    50

    0

    300

    250

    200

    150

    100

    50

    00 100

    1500

    1500

    1250

    1250

    1000

    1000

    750

    750

    500

    500

    250

    2500

    0

    50 150 200 250 300

    1[M

    Pa]

    1[M

    Pa]

    2 [MPa] 2 [MPa]

    2 [MPa]

    0

    2 [MPa]

    50 100 150 200 250 300

    2 [MPa]

    1[MPa]

    1[MPa]

    1[MPa]

    3 = 145 3 = 80

    3 = 60

    3 = 40

    3 = 20

    3 = 50

    3 = 25

    3 = 40

    3 = 30

    3 = 20

    3 = 15

    3 = 18

    3 = 5

    3 in [MPa]

    3 in [MPa]

    3 in [MPa]

    3 = 150

    3 = 100

    3 = 60

    3 = 30

    3 = 0

    3 = 0

    3 = 30

    3 = 60

    3 = 100

    3 = 150

    3 in [MPa]

    3 in [MPa]

    3 = 25

    3 = 45

    3 = 65

    3 = 85

    3 = 105

    3 = 125

    3 = 145

    3 = 20

    3 = 40

    3 = 60

    3 = 80

    3 = 25

    3 = 50

    3 = 8

    3 = 15

    3 = 20

    3 = 30

    3 = 40

    3 = 5

    3 = 1053 = 125

    3 = 85

    3 = 65

    3 = 453 = 25

    Shirahama Sandstone Yuubari Shale

    Solenhofen Limestone

    KTB Amphibolite

    Fig. 4. Best-fitting solution after [21] when employing the HB criterion. Continuous lines give calculated results for the specified minor principal stress s3.

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    Equivalent shear strength parameters, as for example

    those by Hoek et al. can subsequently be used in

    conventional limit-equilibrium analysis and in numerical

    analysis employing the MC failure criterion. However,

    it is clear that they generally will only approximate the

    ultimate strength of the HB criterion, which they have been

    derived for. Even for tangentially fitted parameters it has to

    be considered that the minor principal stress s3 in

    gravitational stress fields is not a constant. A real

    equivalence of HB and MC parameters can only be given

    when defining them as a function of the minor principal

    stress. In conventional limit-equilibrium analysis (Bishop,

    Janbu, Spencer,...) this poses a problem, but not in

    automated numerical material strength reduction schemes

    (e.g. j2c reduction). Dawson et al. [23] for example

    explicitly calculate tangentially fitted MC parameters for

    each single finite element in their numerical calculation.

    However, the load steps applied in calculations with such

    ARTICLE IN PRESS

    Dunham Dolomite

    1200

    1000

    800

    600

    400

    200

    00

    1[MPa]

    1[MPa]

    2 [MPa]

    1[MPa]

    2 [MPa]

    2 [MPa]

    1[MPa]

    1[MPa]

    2 [MPa]

    3 = 85

    3 = 145

    3 = 65 3 = 45

    3 = 25

    3 = 25

    3 = 80

    3 = 603 = 40

    3 = 20

    3 = 20

    3 = 40

    3 = 60

    3 = 80

    3in [MPa]

    3 in [MPa]

    3in [MPa]

    3in [MPa]

    3in [MPa]

    2 [MPa]

    3 = 45

    3 = 85

    3 = 40

    3 = 5

    3 = 50

    3 = 25

    3 = 25

    3 = 50

    3 = 8

    3 = 15

    3 = 20

    3 = 30

    3 = 40

    3 = 150

    3 = 100

    3 = 60

    3 = 303 = 0

    3 = 0

    3 = 30

    3 = 60

    3 = 100

    3 = 150

    3 = 30

    3 = 20

    3 = 15

    3 = 83 = 5

    3 = 125

    3 = 145

    3 = 105

    3 = 65

    200 400 600 800 1000 1200

    750

    625

    500

    375

    250

    125

    00 125 250 375 500 625 750

    Solenhonfen Limestone

    Shirahama Sandstone300

    250

    200

    150

    100

    50

    00 50 100 150 200 250 300

    300

    250

    200

    150

    100

    50

    0

    Yuubari shale

    0 50 100 150 200 250 300

    KTB Amphibolite

    1500

    1250

    1000

    750

    500

    250

    00 250 500 750 1000 1250 1500

    Fig. 5. Results from the HBMN criterion. Continuous lines give calculated results for the specified minor principal stress s3.

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    piecewise linear yield functions have to be small in order to

    be accurate.

    A more robust and reliable method to incorporate shear

    strength reduction into the HB criterion is to include a

    material strength reduction factor Z in its yield function:

    fHB

    s1

    s3

    ~fd

    s3

    with ~fd

    ~f

    Z

    sci

    Z

    mbs3

    sci s

    a

    .

    (29)

    As yet, the magnitude ofZ is hard to appraise as it is not

    related to those factors commonly used in shear strength

    reduction schemes. Therefore, in the following Z is related

    to the shear strength reduction factors proposed in

    Eurocode 7. These are:

    tan jd tan jc=gj, 30cd cc=gc, 31

    where the subscript c and d indicate characteristic and

    design values respectively. The strength reduction factors

    for the friction angle and for cohesion are generallyassumed to be equal: gj gc g. Hence, for a quantitativeinterpretation of Z, its relation to g is to be derived. It

    should be noted that with the condition gj gc g, theapproach of Eurocode 7 is compatible with the idea by

    Bishop, and hence g can be directly considered to be a

    factor of safety in the traditional sense.

    4.1. Material strength reduction in the HB criterion

    In the previous section, the instantaneous friction angle

    sin jt was introduced (Eq. (21)) by locally fitting a

    tangential MC criterion. This friction angle is now applied

    to relate the strength reduction factor Z to g: In a p2q

    representation, only the slope of a MC failure line

    decreases with increasing g; its apex remains constant at

    p c cot j. Reducing the q over p ratio of a HB criterionequally to that of a tangentially fitted MC criterion yields

    in triaxial compression:

    Mc;HB

    Mc;MC Mc;HBdMc;MCd

    (32)

    and hence,

    3 ~f03 sin j

    3Z ~f03g sin sin j

    , (33)

    where

    gsin gffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi

    1 sin2 j 1g2

    1 s

    (34)

    expresses the material strength reduction factor g when

    applied to sin j instead of tan j.When substituting Eqs. (21) and (34) in (33), finally an

    expression for the strength reduction factor Z can be

    derived. Note that Z could likewise be evaluated in triaxial

    extension with the same result:

    Z 12

    g2 ~f0

    ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi1

    1g2

    1

    ~f02

    2 ~f02

    vuuut ~f00BB@

    1CCA. (35)

    4.2. Evaluation of the material strength reduction scheme

    Fig. 6 illustrates HB yield curves in triaxial p2q space

    which vary due to different shear strength reduction

    factors. The material parameters used in the example are

    taken from a slope problem discussed in Hammah et al.

    [25], which will be looked at in more detail in the next

    section. As a reference, Fig. 6 also shows MC yield curves,

    that are derived according to Eq. (27) for s3max 189kPa.The equivalent strength parameters are: j 20:89 andc 20kPa. The factorized shear strength parametersapplied to the MC criterion were calculated according to

    Eq. (30).

    From Fig. 6 it can be concluded that both, the unreduced

    MC criterion, as well as the reduced MC criterion fit the

    respective HB criteria reasonably well within the desired

    stress domain. However, in the apex region of the HB

    criterion they do not. Here, cohesion is overestimated and

    the angle of friction is underestimated. The crucial issue in

    using a global MC fitting procedure is clearly to specify a

    suitable stress domain s3 max in which it can be applied. If

    the s3max value is chosen too big, the criteria will

    increasingly deviate in the apex region. If it chosen value

    is too small, the criteria will considerably deviate for higher

    stresses. For example ifs3max 47:5 kPa, is chosen insteadofs3 max

    189kPa as shown in Fig. 6, the result will be as

    shown in Fig. 7. Displayed as dashed lines in Fig. 6 are

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    Table 1

    Material parameters

    Rock type sci(MPa) mi () GSI () D ()

    Dunham Dolomite 290 (400) 8.0 100 0

    Solenhofen Limestone 310 (370) 4.6 100 0

    Shirahama Sandstone 45 (65) 18.2 100 0

    Yuubari Shale 78 (100) 6.5 100 0

    KTB Amphibolite 175 (250) 30.0 100 0

    Values in brackets are used in the basic HB criterion only.

    Table 2

    Mean standard deviation misfit to test data in MPa

    Rock type HB HBMNa HBMNb

    Dunham Dolomite 56 24 21

    Solenhofen Limestone 38 22 21

    Shirahama Sandstone 9 8 7

    Yuubari Shale 13 9 9

    KTB Amphibolite 89 72 64asci, mi acc. Table 1.bsci, mi optimized.

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    factorized HB criteria that result from neglecting Eq. (35),

    that is setting Z g. Obviously, the latter method should beavoided ifg is defined as a shear strength reduction factor.

    Then, only the transformation between Z and g defined in

    Eq. (35) yields consistent results.

    Appreciating the fact that global MC fitting procedures

    will introduce errors, it is best to avoid them completely.

    The intrinsic material strength factorization proposed here

    gives the possibility to do so. A quantitative discussion of

    the errors introduced by the global MC fitting procedure is

    given in the following section.

    5. Slope failure examples

    The merits of the proposed extensions to the HB failure

    criterion can best be illustrated in slope failure examples.

    Results from the HB and the HBMN criteria with intrinsic

    material strength reduction are compared to results from

    analyses that employ equivalent MC criteria. The examples

    chosen are simple, excluding soil layering, ground water flow,

    etc. First, a relatively flat slope (35:5

    ) in a homogeneous

    weathered rock layer is investigated. Second, a steeper slope

    of 75:0 in likewise homogeneous rock is discussed.The first example including rock data is taken from

    Hammah et al. [25]. The geometry of the slope and the

    meshing used in the FE calculation is shown in Fig. 8.

    Material data are given in Table 3. The equivalent MC

    parameters are calculated from Eq. (27). The stress domain

    for fitting is set to s3max 237 kPa following the recom-mendation by Hoek et al. [2].

    All plane strain analyses were performed with the FE

    code Plaxis V8 using six noded triangular elements. The

    applied load stepping scheme relies on an arc-length

    method. Specifically, slope stability was determined for the

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    Triaxial compression Triaxial compression Triaxial compression

    200 200 200

    100

    100

    50 100 150 200

    100

    100

    50 100 150 200

    100

    100

    50 100 150 20013[kPa]

    = 1 = 1 = 1

    = 5= 2

    = 1.4

    P [kPa]P [kPa] P [kPa]

    Triaxial extension Triaxial extension Triaxial extension

    Fig. 6. Shear strength reduction of the HB criterion for three different factors of safetys3max

    189kPa

    .

    Triaxial compression Triaxial compression Triaxial compression

    200

    100

    100 150 200

    200

    100

    50 100 150 200

    200

    100

    50 100 150 20050

    100 100 100

    13[kpa]

    Triaxial extension Triaxial extension Triaxial extension

    P [kPa] P [kPa] P [kPa]

    =1

    =1.4

    =1

    =2

    = 1

    = 5

    Fig. 7. Shear strength reduction of the HB criterion for three different factors of safety s3max 47:5kPa.

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    HB, the mixed HBMN, and the MC failure criteria. For the

    latter the commercially available phi-c reduction procedure

    within Plaxis V8 was applied. The factors of safety for

    the HB and the mixed HBMN were derived by varying the

    material strength reduction factor g in steps of 0.01 and

    subsequently applying gravity load to the slope. The highest

    factor that leads to a convergent solution is considered the

    ultimate strength reduction factor, or the factor of safety.

    The equivalent MC parameters were additionally applied in

    a Bishop slope stability calculation. The Bishop analysis

    reproduced the results of the j-c reduction scheme reason-

    ably well. Differences to results from the j-c reductionscheme were found to be well below 2%.

    Results of the FE slope analysis are shown in Fig. 9. The

    geometrical shapes of localized shear strains are almost

    identical in all analyses. At the same time they are also in

    reasonably good agreement with the circular failure surface

    assumed in the simplified Bishop analysis. The material

    strength reduction factors at which failure occurs are

    however not in close agreement (Table 4). A detailed

    discussion of the results follows after the next example,

    which is a steeper slope of 75:0. Calculation proceduresare the same as outlined above. The geometry is given in

    Fig. 10, material parameters are shown in Table 3. Both,

    geometry and material parameters are selected in close

    agreement to an example presented in Wyllie and Mah [26].

    The results from the steeper slope calculation are illustrated

    in Fig. 11 and quantified in Table 4.

    5.1. Discussion of results

    In both slope examples, the factorized HB calculation

    gives least slope stability. When including the influence of

    the intermediate principal stress on failure (HBMN), the

    factor of safety increases. In one example, the analysis with

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    0.00

    10.00

    20.00

    30.00

    40.00

    50.00

    0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00

    Fig. 8. 35:5 slope geometry and mesh.

    Table 3

    Material parameters used in the slope failure analyses

    Parameter Weight MN=m3 sci (MPa) mi() GSI () D () j (1) c (kPa)

    35:5 slope 0.025 30 2.0 5 0.0 21 2075:0 slope 0.026 40 10.0 45 0.9 38 180

    Fig. 9. 35:5 slope at failure. (a) Bishop slip circle. Incremental displacements: (b) MC, (c) HB, (d) HBMN. Shear strain: (e) HB, (f) HBMN.

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    equivalent MC parameters that were determined by the

    procedure outlined in [7] gives higher slope stabilities than

    the HB analysis. Especially, in the steep slope example, the

    differences are significant.

    The geometrical shapes of localized shear strains are

    almost identical in the different analyses of the flat slope. In

    the analysis of the steep slope, the localized shear strains

    in the HB and HBMN differ notably from those observed in

    the equivalent MC calculation. As the friction angle in the

    latter is generally underestimated in the apex region, it is

    reasonable to obtain somewhat steeper bands of localizedshear strains in the factorized HB and HBMN calculations.

    Finally, the following conclusions can be drawn from the

    examples presented: (a) An equivalent MC calculation can

    suggest higher slope stabilities than the HB criterion it is

    derived for. Ambiguities in deriving equivalent MC

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    Table 4

    Slope failure analyses results

    Calculation Bishop MC HB HBMN

    35:5 slope 1.37 1.37 1.51 1.7275:0 slope 1.55 1.54 1.00 1.02

    0.00 10.00 20.00 30.00 40.00 50.00 60.00

    0.00

    10.00

    20.00

    30.00

    40.00

    50.00

    60.00

    30.0

    7.0

    2.0

    2.0

    60slo

    pe

    75slop

    e

    Excavation

    Fig. 10. 75:0 slope geometry and mesh.

    Fig. 11. 75:0 slope at failure. Incremental displacements: (a) MC, (b) HB, (c) HBMN. Shear strain: (d) MC, (e) HB, (f) HBMN.

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    parameters can be avoided when the HB criterion is

    factorized directly. (b) The intermediate principal stresss

    influence on material strength indicates higher slope

    stabilities. The use of the mixed HBMN criterion may

    therefore result in a more economic but yet save design.

    6. Summary

    For its use in numerical limit state design, the Generalized

    HB criterion (2002-Edition) presented in Hoek et al. [2] has been

    extended twofold. First, the influence of the intermediate

    principal stress on failure was considered in a combined

    formulation of the HB and the MN failure criteria. Second, an

    intrinsic material strength reduction scheme for the HB criterion

    was developed. In a small set of slope stability examples, the

    merits of the extended HB criterion were illustrated.

    The material strength reduction scheme developed is

    compatible with design approaches that employ factorized

    shear strength (e.g. Eurocode 7). Error prone fitting proceduresthat relate HB to equivalent MC parameters are no longer

    needed. Instead, the HB criterions non-linear failure char-

    acteristics can be fully considered in ultimate limit state design.

    Particularly for steep slopes, this may lead to notably steeper

    failure mechanisms and notably smaller factors of safety.

    Appendix A. Pre-failure deformation characteristics of rock

    masses

    Rock mass properties, e.g. rock mass stiffness and

    permeability are highly influenced by cracks. In the past,

    the deformation characteristics of rock masses has been

    studied by numerous researchers [27]. Based on the

    stressstrain behavior shown in Fig. 12, Bienawski [28]

    defines five stages in the stressstrain behavior of rock

    masses: (a) Crack closure gradually occurs until the normal

    stress reaches a threshold value scc. During crack closure,

    stiffness increases as pre-existing cracks successively close.

    Crack closure is particularly important in near-surface

    structures; (b) Almost linear elastic behavior is encountered

    once the majority of existing cracks are closed; (c) Stable

    micro-fracturing is found after the crack initiation stress sciis reached; (d) Crack growth then becomes unstable for

    stresses exceeding the threshold value scd; (e) Rock masses

    may show either ductile or brittle failure depending on

    geology, confining pressure and temperature.

    A.1. A simple hypo-elastic law for crack closure

    Within the crack closure domain the stiffness of rock

    masses is a function of the normal stress acting on partially

    opened cracks. With increasing stress and decreasing crack

    separation, the stiffness of the entire rock mass increases.

    The effect of crack closure on rock mass properties is

    extensively studied in Geophysical literature, e.g. [29].

    Anisotropy of mechanical rock mass properties induced by

    the crack closure process is for example discussed in [30].

    The linear elastic law introduced above cannot capture

    these effects. A simple non-linear elastic law could be usedinstead. However, for the sake of simplicity and compat-

    ibility to the isotropic HB model we propose here to use a

    non-linear isotropic elastic law. Assuming that either the

    mean stress p or the major principal stress s1 drive the

    crack closure process, a hypo-elastic law which incorpo-

    rates the effect of crack closure could be formulated as

    E Ei Em Ei scc pscc

    pEm or A:1

    E Ei Em Eiscc s1sccpEm

    , A:2

    respectively. Here Ei denotes the initial Youngs modulus

    for p s1 0, and Em is the maximum Youngs modulusthat is reached upon closure of all cracks in the rock mass,

    i.e. pXscc or s1Xscc.

    A.2. Evaluation of the crack closure law

    Fig. 13 gives the result of nine unconfined compression

    tests on weak siltstone samples. All test results could be

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    1

    ci

    cd

    peak

    cc

    peak strength

    crack damage threshold

    crack initiation

    threshold

    crack closure

    threshold

    1

    Fig. 12. Behavior of fractured rock in uniaxial compression (after [27]).

    Axialstress11[kPa]

    3000

    2000

    1000

    0.00 0.50 1.00 1.50 2.00 2.500

    Axial strain 11 [%]

    Experimental results

    Simulation cc = 1000 kPa

    Simulation cc = 400 kPa

    Fig. 13. Simulation of nine unconfined compression tests with two

    different crack closure stresses.

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    reasonably well reproduced in the pre-failure domain by

    specifying the lower and upper crack closure stress to scc 400 kPa and to scc 1000 kPa, respectively. All remainingmaterial parameters were assumed to be constant. To what

    extent the two different crack closure stresses found in the

    back-analysis are related to the anisotropic rock-mass

    features observed in field tests on the same site, is to bedetermined in future work.

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