[Report] Resistance Factor Calculations for LRFD of Axially Loaded Driven Piles in Sands

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    KSCE Journal of Civil Engineering (2011) 15(7):1185-1196

    DOI 10.1007/s12205-011-1254-1

    1185

    www.springer.com/12205

    Geotechnical Engineering

    Resistance Factor Calculations for LRFD of Axially Loaded Driven Piles in Sands

    Dongwook Kim*, Moonkyung Chung**, and Kiseok Kwak***

    Received June 23, 2010/Revised November 11, 2010/Accepted December 30, 2010

    Abstract

    This paper presents the development of Load and Resistance Factor Design (LRFD) of axially-loaded driven piles in sands. Theresistance factors of base and shaft resistances were calculated separately to account for their different uncertainty levels. The ratiosof dead-to-live load and ultimate base resistance to limit shaft resistance change the uncertainty levels of total load and total pilecapacity, respectively; thus, those ratios should be reflected in the calculation of base and shaft resistance factors. For thedevelopment of LRFD for axially-loaded driven piles in sands, the ultimate limit state for an axially-loaded driven pile wasestablished based on the Imperial College Pile (ICP) design method; the uncertainties of loads and resistance were accessed;reliability analyses were performed using the First-order Reliability Method (FORM); and finally, reasonable resistance factors ofbase and shaft resistances were calculated based on the results of reliability analyses for different target reliability index levels. Theload factors used for the calculation of resistance factors are the ones proposed by AASHTO and ASCE/SEI 7-05. From the results ofextensible reliability analyses using FORM, the resistance factors for base and shaft resistances were found to be highly dependent onthe ratios of the dead-to-live load and the ultimate base resistance to the limit shaft resistance. Resistance factors are proposed fordifferent combinations of these ratios within their possible ranges.

    Keywords: load and resistance factor design, driven pile, imperial college pile design method, reliability analysis, resistance factor,

    load factor, first-order reliability method

    1. Introduction

    Load and Resistance Factor Design (LRFD) is conceptually a

    more advanced design method than the existing Allowable Stress

    Design (ASD). Successful implementation of LRFD on geotech-nical structures contributes to an economical and safe design.

    Recently, many countries, such as the United States, Canada,

    China, Japan, and Korea, commence to replace or already have

    replaced the ASD with the LRFD. For example, the Federal

    Highway Administration (FHWA) in the United States mandated

    the use of LRFD for new bridge designs after October 1, 2007.

    LRFD in structural engineering was developed in the mid-1980s

    and has been successfully implemented in design practice.

    However, LRFD in geotechnical engineering has not been fully

    developed for most geotechnical structures. There has been

    research into LRFD for driven piles (Zhang et al., 2001; Paikowsky

    et al., 2004; Allen, 2005), and these research results wereobtained based on reliability analyses and are reflected in the

    AASHTO LRFD bridge design specifications (2007). For geo-

    technical structures other than piles, such as mechanically stabilized

    earth walls, slopes, and shallow foundations, the values of

    Resistance Factors (RFs) proposed in the AASHTO LRFD bridge

    design specifications (2007) are not based on reliability analyses,

    but rather are back-calculated from the existing Factor of Safety

    (FS) values. A rational framework for LRFD development shouldbe established for the replacement of these back-calculated RF

    values with reasonable RF values calculated based on reliability

    analyses.

    A large number of studies were done for the calibration of

    resistance factors of geotechnical structures. Phoon and Kulhawy

    (2003) corroborated the importance of implementing the multiple

    resistance factor design concept for foundations. Phoon and

    Kulhawy (2002) performed FORM for the calculation of multiple

    resistance factors of drilled shafts for a given target reliability

    level. The multiple resistance factors for uplifts of drilled shafts

    include the resistance factors for side resistance and resistance

    from the self-weight of the drilled shaft. For shallow transmis-sion line structures, Phoon et al. (2003) also calibrated different

    uplift resistance factors for uplift side resistance, uplift tip resist-

    ance and dead weight of foundation against uplift force. Honjo et

    *Member, Post-doctoral Researcher, Geotechnical Engineering and Tunnelling Research Division, Korea Institute of Construction Technology, Goyang

    411-712, Korea (Corresponding Author, E-mail: [email protected])

    **Member, Research Fellow, Geotechnical Engineering and Tunnelling Research Division, Korea Institute of Construction Technology, Goyang 411-712,

    Korea (E-mail: [email protected])

    ***Member, Research Fellow, Geotechnical Engineering and Tunnelling Research Division, Korea Institute of Construction Technology, Goyang 411-712,

    Korea (E-mail: [email protected])

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    al. (2002) established a procedure for the calculation of partial

    factors for dead load, seismic load, base resistance and shaft

    resistance of axially-loaded case-in situ piles. Kim et al. (2005)

    calibrated local resistance factors of driven piles based on 140

    Pile Driving Analyzer (PDA) data and 35 static load test data

    from North Carolina Department of Transportation in the United

    States.

    Most of the research performed to date regarding resistance

    factor calculations of driven piles have focused on calibrating a

    single RF value of the total pile capacity, which is the sum of the

    ultimate base resistance Qb,ultand the limit shaft resistance QsL,

    for a given target reliability index (McVay et al., 2000; Paikowsky

    et al., 2004; Titi et al., 2004; Kwaket al., 2010; Allen, 2005).

    The RF values proposed in the current AASHTO LRFD bridge

    design specifications for driven piles were also developed for the

    total pile capacity calculated based on reliability analysis for the

    given target reliability index. In other words, the current AASHTO

    LRFD bridge design specifications (2007) also use a single RF

    value for both Qb,ultandQsL for driven piles. However, Foye (2005)

    and Foye et al. (2009) proposed different RF values forQb,ultand

    QsL for open-ended and closed-ended driven piles, but those RF

    values were calculated for a conservative single dead-to-live load

    ratio (DL/LL) and a single target reliability index (T) of 3.0.

    The uncertainty levels (bias factors, coefficients of variation,

    and distribution types) ofQb,ultand QsL are quite different. Ac-

    cordingly, it is reasonable to assign different RF values for Qb,ultand QsL reflecting their own uncertainties. The uncertainty levels

    ofQb,ultand QsL are highly dependent on the method of prediction

    ofQb,ult and QsL (Jardine et al., 2005; Schneider, 2007). If the

    physics underlying the Ultimate Limit State (ULS) of driven piles

    are reasonably incorporated in the prediction methods of Qb,ultand QsL, the prediction methods will have less uncertainty. In this

    paper, the uncertainties ofQb,ultand QsL are assessed based on the

    qualitative pile load test database constructed for the develop-

    ment of Imperial College Pile (ICP) design methods (Jardine et al,

    2005). Using the Load Factors (LFs) given in the design

    specifications (AASHTO, 2007; ASCE/SEI 7-05, 2005), the RF

    values ofQb,ult and QsL are calculated from extensive reliability

    analyses using the First-order Reliability Method (FORM) for

    different combinations ofDL/LL and Qb,ult/QsL. The FORM, as

    set forth by Hasofer and Lind (1974) and Low and Tang (1997),

    is used to calculate reliability index in this paper.

    2. Procedure of Resistance Factor Calculation

    For the successful calculation of reasonable RF values ofQb,ultand QsL for axially-loaded driven piles, a rational framework

    should be established. In this paper, the following steps are used

    for the calculation of RF values forQb,ultand QsL.

    1. Select a reasonable equation representing the ULS of driven

    piles;

    2. Select a LF for each load type (e.g. dead load or live load)

    from the design specifications and investigate the uncertainty

    of each load;

    3. Assess the uncertainties ofQb,ult and QsL using a high-quality

    database including the results of pile load tests and site investi-

    gations;

    4. Determine an appropriate target reliability index (or target

    probability of failure) considering the importance of the struc-

    ture;

    5. Perform reliability analysis based on the uncertainties of the

    loads and resistances;

    6. Calculate the RF values of the base and shaft resistances.

    3. LRFD of Axially-Loaded Driven Piles in Sands

    3.1 Identification of the ULS Equation using Imperial Col-

    lege Pile Design Method

    In order to identify the ULS of an axially-loaded driven pile in

    sands, the ICP design method is selected for the calculation of

    Qb,ult and QsL. This design method has been proven to predict

    Qb,ult and QsL accurately by many researchers (Jardine, 1985;

    Lehane, 1992; Chow, 1997). The ICP design method predicts

    Qb,ult and QsL using the tip resistance qc values measured from

    cone penetration tests (CPTs). The ICP design method has been

    successfully implemented worldwide for offshore, marine, and

    onshore sites (Jardine et al, 2005). The structures designed using

    ICP methods are offshore platforms, large bridges, and relatively

    small piles supporting light industrial facilities (Jardine et al,

    2005).

    The ultimate pile resistance (or total pile capacity) Qultis repre-

    sented by the sum of the ultimate base resistance Qb,ult and the

    limit shaft resistance QsL:

    (1)

    The ultimate base resistance Qb,ult, which is the base capacity

    mobilized at a pile head settlement of 10% of its pile diameter, is

    the product of the unit ultimate base resistance qb,ult and the pile

    base areaAb:

    (2)

    If the layer along the pile shaft is divided into n sublayers, the

    limit shaft resistance QsL is the sum of the unit limit shaft resis-

    tances qsL,imultiplied by the pile shaft areas As,iof n sublayers:

    (3)

    The proposed qb,ult for closed-ended piles in the literature

    (Jardine et al., 2005) are as follows:

    (4)

    where Dpileis the outer diameter of the pile, DCPTis the diameter

    of cone (typicalDCPT= 0.036 m), and qcb,avg is the average cone

    resistance at the location of pile base. For open-ended piles, qb,ultdepends on the plugged mode inside the pile. For fully plugged

    Qult Qb u lt , QsL+=

    Qb u lt , qb u lt , Ab=

    QsL qsL i,As i,i 1=

    n

    = i 1 n, ,=( )

    qb u lt ,1 0.5ln Dpile DCPT( )[ ]qc b a vg , ifDpile 0.9m

    max 1 0.5ln Dpile DCPT( ) 0.3,[ ]qc b a vg , ifDpile 0.9m>

    =

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    mode, qb,ultof open-ended piles is assumed as the half ofqb,ult of

    closed-ended piles:

    (5)

    For unplugged open-ended piles, qb,ult is calculated by thefollowing equation:

    (6)

    The same equation is proposed for the unit limit shaft resis-

    tances of closed-ended piles and open-ended piles:

    (7)

    where qcis the cone resistance, 'v is the vertical effective stress,

    pA is the reference stress (100 kPa), h is the distance along thepile shaft from the pile base, G is the shear stiffness calculated by

    qc[0.0203 + 0.00125qc(pAv)0.51.216 106qc

    2(pAv)1]1, and r

    is the radial displacement during pile loading (typically assumed

    to be 0.02 mm), and cv is the critical-state interface friction

    angle between pile and soils contacted to the pile shaft.

    3.2 Load Factors and Uncertainties of Loads

    In our analysis, two types of axial load are assumed: dead load

    DL and live loadLL on a pile head. According to ASCE/SEI 7-

    05 (2005), the load factors (LFDLandLFLL) ofDL andLL for

    building structures are 1.2 and 1.6, respectively. The uncertainties

    ofDL andLL for building structures are summarized in Table 1.The uncertainties of the loads include specifying bias factors (),

    Coefficients of Variation (COV), and distribution types. In our

    analysis, the distribution types and the values of bias factors and

    COVs in Table 1 are used for the simulation of the uncertainties

    ofDL andLL for building structures. The bias factorx of variable

    x is defined as the ratio of its mean valuexto nominal valuexn.

    (8)

    The coefficient of variation COVxof variable x is the ratio of

    its standard deviation to mean value.

    (9)

    The AASHTO LRFD bridge design specifications (2007) pro-

    pose that the load factors forDL andLL for transportation facilities

    are 1.25 and 1.75, respectively. The uncertainties ofDL andLL

    reported in the AASHTO LRFD bridge design specifications

    (2007) are summarized in Table 2. The assessment of load

    uncertainties are carried out based on the work done by Nowak

    (1999). The bias factor and the coefficient of variation (COV) of

    DL varies with the material used in bridge construction, while

    those ofLL change depending on a bridges span length and the

    number of lanes. ForDL, the COV value depends on the material

    property as shown in Table 2. Considering that the dead load

    induced by the asphaltic wearing surfaces is generally a small

    portion of the totalDL, in our analysis, we conservatively used a

    COV of 0.10 forDL. The bias factor of 1.05 is also conservati-

    vely selected and used in our analysis. Likewise, the LL bias

    factor of 1.2 and the COV of 0.205 were conservatively chosen.

    3.3 Uncertainties of Ultimate Base Resistance Qb,ult and

    Limit Shaft Resistance QsLThe measured values (Qb,ult, meas. and QsL,meas.) of the ultimate

    base resistances and the limit shaft resistances are obtained from

    the compression pile load test results, whereas their predicted

    values (Qb,ult, pred. and QsL,pred.) are calculated using the ICP design

    methods introduced in the earlier section. The ratios (Qb,ult, meas./

    Qb,ult, pred. and QsL, meas./QsL, pred.) of the measured-to-predicted ultimate

    base resistance Qb,ult and limit shaft resistance QsL are recon-

    structed based on the data available (data are obtained by accur-

    ately digitizing the figures provided in the book) from Jardine et

    al. (2005). The mean and COV of the digitized data were the

    same as the values proposed in the literature. Jardine et al. (2005)

    stated that the database was constructed based on pile load test

    results reported by Chow (1997), Willliams et al. (1997), Zuidberg

    and Vergobii (1996), CUR (2001), Jardine and Standing (2000),

    Jardine et al. (2001), and Jardine et al. (1998). The piles used in

    the pile load tests were closed-ended or open-ended driven piles

    made of steel or concrete.

    qb u lt ,0.5 0.25ln Dpile DCPT( )[ ]qc b a vg , ifDpile 0.9m

    max 0.5 0.25ln Dpile DCPT( ) 0.15,[ ]qc b a vg , ifDpile 0.9m>

    =

    qb u lt , qcb a vg ,=

    qsL 0.029qc'vpA------

    0.13

    maxh

    Ab --------------- 8,

    0.38 2Gr

    Ab ---------------

    +

    tancv=

    xxxn-----=

    COVx xx-----=

    Table 1. Bias Factors, Coefficients of Variation, and Distribution

    Types ofDL and LL for Building Structures (Ellingwood,

    1999)

    Load typeBias factor

    ()Coefficient of

    variation (COV)Distribution

    type

    DL 1.05 0.10 Normal

    LL 1.0 0.25Type I based onlargest extreme

    Table 2. Bias Factors, Coefficients of Variation, and Distribution Types ofDL and LL (AASHTO, 2007 and Nowak, 1999)

    Load type Bias factor COV Distribution type Note

    DL 1.0-1.05 0.08-0.25 NormalFactory-made: =1.03, COV=0.08Cast-in-place: =1.05, COV=0.10Asphaltic wearing surface: =1.0, COV=0.25

    LL 0.6-1.2 0.17-0.205 Lognormal

    =0.6 for No. of lanes 4 in one direction.=1.2 for No. of lanes = 1 in one direction.COV=0.17 for span 9 m and No. of lanes 4 in one direction.COV=0.205 for span = 3 m and No. of lanes = 1 in one direction.

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    The measured-to-predicted ratios (Qb,ult, meas./Qb,ult, pred. andQsL, meas./

    QsL, pred.) ofQb,ult and QsL were calculated and were plotted as

    distributions in Fig. 1. The forty eight Qb,ult, meas./Qb,ult, pred.values

    and forty QsL, meas./QsL, pred. values in Fig. 1 were used for the as-

    sessment of the uncertainties ofQb,ultand QsL predictions, respec-

    tively. The driven piles used in the assessment of Qb,ult uncer-

    tainty had various pile geometries (pile length = 1.1-47 m; pile

    diameter = 0.07-2.0 m) and a wide range of relative density at the

    pile bases (25-96%). Qb,ult, meas./Qb,ult, pred. values were not biased

    with respect to the relative densities near pile bases and a pile

    diameters. The QsL uncertainty was assessed based on pile tests

    with diverse pile dimensions (pile length = 1.8-47 m; pile diameter

    = 0.1-2.0m) and different average relative densities (31-100%)

    along the pile shaft. QsL, meas./QsL, pred. values were also no biased

    with respect to the relative densities along pile shafts and

    slenderness ratio (ratio of pile length to pile diameter).

    The distribution ofQb,ult, meas./Qb,ult, pred. is well-fitted to a lognor-

    mal distribution with a mean (bias factor ofQb,ult, meas./Qb,ult, pred.) of

    1.023 and a COV of 0.201, while that of QsL, meas./QsL, pred. nearly

    follows a lognormal distribution with a mean of 1.088 and a

    COV of 0.287. These uncertainties (bias factors, COVs, and dis-

    tribution types) ofQb,ultand QsL are used in the reliability analyses.

    3.4 Target Reliability Index

    Conceptually, structures designed using LRFD methods guar-

    antee a certain level of reliability, which is called the target

    reliability index T. In other words, the reliability of a system

    designed using LRFD is greater than or equal to the target

    reliability index. A target reliability index of 3.0 is generally used

    for foundation design practice (Paikowsky et al., 2004; Allen,

    2005; Foye et al., 2006; and Foye et al., 2009). In general, the

    AASHTO LRFD bridge design specifications (2007) propose to

    use a Tof 3.5 (an approximate probability of failure of 0.0002)

    in the designs of the main elements and components, the failure

    of which may ultimately cause bridge failure. Lower levels ofTcan be used for less important elements and components of

    bridges. For group piles, which allow redundancy, a lowerT(2.33) could be assumed (AASHTO, 2007 and Zhang et al.,

    2001). In this paper, three levels (2.5, 3.0, and 3.5) of target

    reliability index are considered and the corresponding resistance

    factors are calculated.

    3.5 Resistance Factor Calculation

    For the reliability analysis using the FORM, the assessment of

    uncertainties of total resistance and total load (sum of loads) are

    required. The uncertainty of total resistance is a function of the

    Qb,ult/QsL ratio and the uncertainties ofQb,ult, and QsL while that of

    total load is a function of theDL/LL ratio and the uncertainties of

    DL andLL. In addition to the uncertainties ofDL, LL,Qb,ult, and

    QsL summarized in Table 3, the ratios ofDL/LL and Qb,ult/QsL are

    required to account for the uncertainty of the total resistance and

    the sum of the loads. Reliability analyses are performed reflect-

    ing the uncertainties ofDL, LL, Qb,ult, and QsL with different

    ratios ofDL/LL and Qb,ult/QsL. The results of a reliability analysis

    include the calculations of the reliability index and the most

    probable failure point (or the most probable ULS values ofDL,

    LL, Qb,ult, and QsL).

    To account for the different uncertainty levels of the ultimate

    base resistance Qb,ult and the limit shaft resistance QsL, the resis-

    tance factors forQb,ult and QsL are calibrated separately. Accord-

    ingly, the LRFD criterion for axially-loaded driven piles can be

    mathematically expressed as the following inequality:

    (10)

    where RFbaseand Qb,ult,n are the resistance factor for base resis-

    tance and the nominal Qb,ult, RFshaft and QsL,n are the resistance

    factor for shaft resistance and the nominal QsL, LFi is the load

    factors from the design specifications, such as AASHTO (2007)

    and AISC/SEI 7-05 (2005), and Qi,n is the nominal applied load

    (or design load).

    When a driven pile is axially loaded to the ULS, many possible

    combinations ofQb,ult, QsL and Qi(in this paper,DL andLL) exist

    that satisfy the ULS. The surface consisting of these combina-

    RFbase( )Qb ult n, , RFshaf t( )QsL n,+ LFi( )Qi n,

    Fig. 1. Distributions of (a) Ultimate Base Resistance Qb,ult and (b)

    Limit Shaft Resistance QsL

    Table 3. Summary of the Bias Factors, COVs, and Distribution Types of the Resistances and Loads Used in the Reliability Analysis

    Force Bias factor () COV Distribution type Note

    ResistanceQb,ult 1.023 0.201 Lognormal (Jardine et al., 2005)

    QsL 1.088 0.287 '' ''

    Load

    ASCE-7DL 1.05 0.1 Normal Building and other structures

    (Ellingwood, 1999)LL 1.0 0.25 Type I

    AASHTODL 1.05 0.1 Normal Bridge substructures

    (AASHTO, 2007; Nowak, 1999)LL 1.2 0.205 Lognormal

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    tions ofQb,ult, QsL and Qi values can be defined as the failure

    surface. Out of these numerous combinations ofQb,ult, QsL and Qivalues, probabilistically a combination of the most probable ULS

    (or the most probable failure) values of Qb,ult, QsL, and Qi is

    unique and these values are denoted as Qbase,LS, Qshaft,LS, and Qi,LS,

    respectively.

    These ULS values (Qbase,LS, Qshaft,LS, and Qi,LS) are obtained from

    the results of reliability analysis based on the well-defined ULS

    equation, which in turn yield well-assessed uncertainties associ-

    ated with the ULS equation, and theDL/LL and Qb,ult/QsL ratios.

    The optimum base and shaft resistance factors (RF*base and

    RF*shaft) and optimum load factors (LF*DL andLF

    *LL) are defined as

    the ratios of the most probable ULS to the nominal values as

    follows:

    and (11)

    and (12)

    Then,RFbase andRFshaftcan be obtained without violating the

    LRFD criterion [Inequality (10)] using the following equations,

    proposed by Foye (2005):

    (13)

    (14)

    4. Parametric Studies

    As we mentioned in an earlier section, theDL/LL and Qb,ult/QsLratios are important in assessing the uncertainties of total pile

    capacity and total load in addition to the uncertainties ofDL,LL,

    Qb,ult, and QsL. From a designers point of view, the nominal ratios

    (QDL,n/QLL,n and Qb,ult,n/QsL,n) ofDL/LL and Qb,ult/QsL are more

    meaningful than the mean values ofDL/LL and Qb,ult/QsL because

    calculation of the nominal values (QDL,n, QLL,n, Qb,ult,n, and QsL,n)

    ofDL,LL, Qb,ult, and QsL are necessary for pile designs, but the

    calculation of their mean values are not required.

    In this paper, by performing a series of reliability analyses

    varying the ratio (QDL,n/QLL,n) of the nominal dead load to the

    nominal live load and the ratio (Qb,ult,n/QsL,n) of the nominal ulti-

    mate base resistance to the nominal limit shaft resistance, tenta-

    tiveRFbase andRFshaftvalues were calibrated that are compatible

    with the ASCE/SEI 7-05 (2005) load factors and the AASHTO

    (2007) load factors following a flow chart shown in Fig. 2.

    Before a direct calculation of RF values is conducted, it is

    worthwhile to examine the changes of optimum factors with

    changes in QDL,n/QLL,n and Qb,ult,n/QsL,n. Due to the different uncer-

    tainty levels ofDL andLL, the change ofQDL,n/QLL,n results in a

    change of uncertainty of total load. Similarly, Qb,ult,n/QsL,ndetermines

    the uncertainty level of total pile capacity. An optimum factor

    implies a relative distance between the most probable ULS value

    and its nominal value [Eqs. (11) and (12)]. Optimum factors of

    loads are generally higher than a unity while those of resistances

    are less than a unity. To reach the ULS of a pile, it is likely that

    the loads are maximized and the resistances are minimized;

    therefore, the Qi,LS values are likely to be maximized (greater

    than Qi,n) while Qbase,LS and Qshaft,LS tend to be minimized (less

    than Qb,ult,n and QsL,n).

    For building structures, the QDL,n/QLL,n ratio may vary with the

    materials used for building construction, the building dimensions

    (length, width, and height), the building use types (residential, com-

    mercial, public, or industrial). The QDL,n/QLL,n ratio for bridge

    structures changes with the span lengths for bridges (Hansell and

    Viest, 1971; AASHTO, 2007; Withiam et al., 2001). The QDL,n/

    QLL,nratio is calculated as 0.5 for a bridge with a span length of

    10 m using the empirical equation proposed by Hansell and Viest

    (1971), while the calculated QDL,n/QLL,n is nearly equal to 4.0 with

    span length of 70 m. In our analysis, the range ofQDL,n/QLL,n is

    assumed 0.5-4 for both building and bridge structures.

    The ratio ofQb,ult,n/QsL,n is determined based on the Qb,ult and

    QsL equations proposed in the design specifications considering

    the pile characteristics (pile diameter, pile length, and roughness

    along pile shaft) and the foundation conditions (soil profiles, and

    strengths along pile shaft and at bearing layer). In our analysis, to

    account for numerous possible design cases, we assumed a wide

    range ofQb,ult,n/QsL,n, from 0 to 10. However, a Qb,ult,n/QsL,n ratio of 0

    may not be possible to happen in practice because we do not expect

    Qb,ult,n = 0 for sand layers near the pile base. However, the Qb,ult,n/

    QsL,n ratio of 0 is included in our paper for illustration purpose.

    Due to the different levels of load uncertainties between build-

    ing structures (Ellingwood, 1999) and bridge structures (Nowak,

    RFbase*

    Qbase LS,Qb ult n, ,----------------= RFshaf t

    *Qshaf t LS,

    QsL n,-----------------=

    LFDL*

    QDL LS,QDL n,--------------= LFLL

    *QLL LS,QLL n,--------------=

    RFbase minLFDLLFDL

    *------------

    LFLLLFLL

    *-----------,

    RFbase*=

    RFshaf t minLFDLLFDL

    *------------

    LFLLLFLL

    *-----------,

    RFshaf t*=

    Fig. 2. Flow Chart of Resistance Factor Calculation using FORM

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    Dongwook Kim, Moonkyung Chung, and Kiseok Kwak

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    1999), the optimum factors ofDL, LL, Qb,ult, and QsL for both

    cases are examined. The optimum factors ofDL,LL, Qb,ult, and

    QsL are functions of the bias factors, COVs, and distribution

    types ofDL,LL, Qb,ult, and QsL as well as QDL,n/QLL,n, and Qb,ult,n/

    QsL,n. Three different target reliability index values are used;T=

    2.5, 3.0, and 3.5. For each T, a series of reliability analyses were

    performed, varying QDL,n/QLL,n, and Qb,ult,n/QsL,n, for which the cal-

    culated reliability indices were equal to the T. Optimum factors

    of driven piles used as building substructures are calculated and

    summarized in Table 4, and the optimum LFs and RFs are

    plotted in Figs. 3 and 4, respectively.

    A higher value for an optimum load factor (LF*DL orLF*LL)

    represents that the most probable ULS value of the load (QDL,LSor QLL,LS) is determined as being relatively greater than its

    nominal value (QDL,n orQLL,n). As shown in Fig. 3,LF*DL andLF

    *LL

    increase with an increasing target reliability index T.LF*DL and

    LF*LL are determined not only from the uncertainties of the loads

    (DL andLL) and the QDL,n/QLL,n ratio, but also from the uncer-

    tainties of the pile resistances (Qb,ult and QsL) and the Qb,ult,n/QsL,nratio. Overall, LF*DL tends to increase with an increasing QDL,n/

    QLL,nand with an increasing Qb,ult,n/QsL,n while LF*LL is likely to

    increase with a decreasing QDL,n/QLL,n and with an increasing

    Qb,ult,n/QsL,n. Fig. 3 shows that, for a given Qb,ult,n/QsL,n,, the increase

    ofLF*DL and the decrease ofLF*LL coupled with an increasing

    QDL,n/QLL,n mean that the unit contribution of the DL (DL at the

    most probable ULS normalized by its nominal value) to pile

    failures (attainment of ULS of piles) increases with an increasing

    QDL,n/QLL,n while that (LL at the most probable ULS normalized

    by its nominal value) ofLL to pile failures decreases with an

    increasing QDL,n/QLL,n.

    In Fig. 4, a higher RF value indicates that the resistance at the

    ULS is determined closer to its nominal resistance. Similarly to

    Table 4. Optimum Factors (LF*DL,LF*LL,RF

    *base, and RF

    *shaft) of Axially-loaded Single Driven Piles Used as Foundations of Building Structures

    TQDL,n/QLL,n

    LF*DL LF*LL RF

    *base RF

    *shaft

    Qb,ult,n/QsL,n Qb,ult,n/QsL,n Qb,ult,n/QsL,n Qb,ult,n/QsL,n

    0 0.5 1 5 10 0 0.5 1 5 10 0 0.5 1 5 10 0 0.5 1 5 10

    2.5

    0.5 1.07 1.08 1.08 1.08 1.08 1.34 1.48 1.52 1.52 1.50 N/A 0.86 0.81 0.73 0.71 0.62 0.70 0.76 0.95 1.02

    1 1.09 1.10 1.10 1.10 1.10 1.26 1.39 1.43 1.42 1.41 N/A 0.85 0.79 0.70 0.69 0.59 0.67 0.73 0.93 1.00

    2 1.10 1.12 1.13 1.13 1.13 1.15 1.25 1.28 1.27 1.26 N/A 0.83 0.77 0.67 0.66 0.58 0.64 0.70 0.91 0.99

    4 1.12 1.14 1.15 1.15 1.15 1.07 1.12 1.14 1.13 1.13 N/A 0.82 0.76 0.66 0.65 0.57 0.63 0.69 0.90 0.99

    3.0

    0.5 1.08 1.08 1.08 1.08 1.08 1.44 1.63 1.67 1.67 1.65 N/A 0.84 0.78 0.69 0.67 0.55 0.65 0.71 0.92 1.00

    1 1.09 1.10 1.11 1.11 1.10 1.33 1.51 1.56 1.56 1.54 N/A 0.81 0.75 0.66 0.64 0.52 0.61 0.68 0.89 0.97

    2 1.11 1.14 1.14 1.14 1.14 1.20 1.33 1.37 1.36 1.34 N/A 0.79 0.73 0.63 0.61 0.51 0.58 0.64 0.87 0.96

    4 1.13 1.16 1.17 1.17 1.17 1.09 1.16 1.18 1.18 1.17 N/A 0.78 0.71 0.61 0.59 0.50 0.57 0.63 0.85 0.95

    3.5

    0.5 1.08 1.08 1.08 1.08 1.08 1.55 1.79 1.85 1.84 1.82 N/A 0.81 0.75 0.65 0.63 0.49 0.60 0.67 0.89 0.97

    1 1.10 1.11 1.11 1.11 1.11 1.42 1.65 1.71 1.71 1.67 N/A 0.78 0.72 0.62 0.60 0.46 0.56 0.63 0.86 0.95

    2 1.12 1.15 1.15 1.15 1.15 1.25 1.42 1.46 1.46 1.44 N/A 0.76 0.69 0.58 0.56 0.44 0.53 0.59 0.83 0.93

    4 1.14 1.18 1.19 1.19 1.18 1.12 1.20 1.22 1.22 1.21 N/A 0.74 0.67 0.56 0.55 0.44 0.51 0.58 0.81 0.91

    Fig. 3. Optimum LFs for (a) DL and (b) LL for Driven Piles Used as

    Foundations of Building Structures, Resulting from Reliabil-

    ity Analyses using the Load Uncertainties Proposed by

    Ellingwood (1999) (the optimum LFs in the figures are

    given as values in Table 4)

    Fig. 4. Optimum RFs for (a) Qb,ultand (b) QsL for Driven Piles Used

    as Foundations of Building Structures, Resulting from Reli-

    ability Analyses Corresponding to the Load Uncertainties

    Proposed by Ellingwood (1999) (the optimum RFs in the

    figures are given as values in Table 4)

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    the load cases, for a given QDL,n/QLL,n in Fig. 4, the decrease of

    RF*base and the increase ofRF*shaftwith an increasing Qb,ult,n/QsL,n

    imply that the unit contribution of Qb,ult (Qb,ult at the most pro-

    bable ULS normalized by its nominal value) to Qultdecreases with

    an increasing Qb,ult,n/QsL,n while that (QsL at the most probable

    ULS normalized by its nominal value) of QsL to Qult increases

    with an increasing Qb,ult,n/QsL,n.

    Since the uncertainty levels of loads for bridge substructures

    are different from those for building substructures, in addition to

    the reliability analyses performed for driven pile cases of building

    substructures, the reliability analyses are carried out for calculation

    of the optimum load and resistance factors (LF*DL, LF*LL, RF

    *base,

    andRF*shaft) for the driven piles used as the bridge substructures.

    The optimum factors are summarized in Table 5, and the opti-

    mum LFs and RFs are plotted in Figs. 5 and 6, respectively.

    The optimum factors (Table 5) for the driven piles used as

    substructures of bridges are slightly different from those calcu-

    lated for the piles used as building substructures (Table 4) because

    the uncertainty levels ofDL, Qb,ult, and QsL are the same for both

    the building and bridge cases, but only the uncertainty levels of

    LL for both cases are slightly different (Table 3). Even though the

    COV value (0.25) ofLL for building substructures is greater than

    that (0.205) for bridge substructures, the effect of the COV

    difference on the RF values is reduced because of the greater bias

    factor (1.2) ofLL for bridge substructures compared to that (1.0)

    for building structures. These optimum factors are used for cal-

    culation of the resistance factors of the base and shaft resistance

    of axially-loaded driven piles using Eqs. (13) and (14).

    5. Results

    Based on the results of the reliability analyses for building sub-

    structures, theRFbase andRFshaftvalues compatible with ASCE/

    SEI 7-05 LFs are calculated for different QDL,n/QLL,n and Qb,ult,n/

    QsL,n ratios and different target reliability indices using Eqs. and .

    The RFbase and RFshaft values are summarized in Table 6 and

    plotted in Fig. 7. For driven piles used as foundations of building

    structures, the calculatedRFbase andRFshaftvalues varied within

    ranges of 0.68-0.93 and 0.62-1.03 forT= 2.5, 0.61-0.86 and

    0.55-0.96 forT= 3.0, and 0.55-0.79 and 0.49-0.91 forT= 3.5,

    Table 5. Optimum Factors (LF*DL,LF*LL,RF

    *base, and RF

    *shaft) of Axially-loaded Single Driven Piles Used as Foundations of Bridge Structures

    TQDL,n/QLL,n

    LF*DL LF*LL RF

    *base RF

    *shaft

    Qb,ult,n/QsL,n Qb,ult,n/QsL,n Qb,ult,n/QsL,n Qb,ult,n/QsL,n

    1.07 1.08 1.08 1.08 1.08 1.49 1.62 1.65 1.65 1.63 N/A 0.85 0.80 0.71 0.69 0.56 0.64 0.70 0.88 0.95

    2.5

    0.5 1.09 1.10 1.10 1.10 1.10 1.42 1.54 1.57 1.57 1.55 N/A 0.84 0.78 0.69 0.67 0.55 0.62 0.68 0.87 0.93

    1 1.10 1.12 1.13 1.13 1.12 1.34 1.42 1.45 1.45 1.43 N/A 0.83 0.76 0.67 0.65 0.54 0.60 0.66 0.85 0.92

    2 1.12 1.14 1.15 1.15 1.14 1.27 1.32 1.33 1.33 1.33 N/A 0.82 0.76 0.66 0.65 0.53 0.59 0.64 0.85 0.92

    4 1.07 1.08 1.08 1.08 1.08 1.57 1.73 1.77 1.77 1.75 N/A 0.82 0.76 0.67 0.65 0.50 0.59 0.65 0.85 0.92

    3.0

    0.5 1.09 1.10 1.11 1.11 1.10 1.48 1.64 1.67 1.67 1.65 N/A 0.80 0.74 0.64 0.62 0.48 0.56 0.63 0.83 0.91

    1 1.11 1.13 1.14 1.14 1.14 1.38 1.49 1.51 1.51 1.50 N/A 0.79 0.72 0.62 0.60 0.47 0.54 0.60 0.81 0.90

    2 1.13 1.16 1.17 1.17 1.16 1.29 1.35 1.36 1.36 1.35 N/A 0.78 0.71 0.61 0.59 0.47 0.53 0.59 0.80 0.89

    4 1.08 1.08 1.08 1.08 1.08 1.65 1.86 1.91 1.91 1.88 N/A 0.79 0.72 0.62 0.60 0.44 0.54 0.61 0.82 0.91

    3.5

    0.5 1.10 1.11 1.11 1.11 1.11 1.55 1.74 1.79 1.79 1.76 N/A 0.77 0.70 0.60 0.58 0.43 0.51 0.58 0.80 0.88

    1 1.12 1.15 1.15 1.15 1.15 1.42 1.56 1.59 1.59 1.57 N/A 0.75 0.68 0.57 0.55 0.41 0.49 0.55 0.77 0.86

    2 1.14 1.18 1.18 1.18 1.18 1.31 1.38 1.40 1.40 1.39 N/A 0.74 0.66 0.56 0.54 0.41 0.48 0.54 0.76 0.86

    4 1.07 1.08 1.08 1.08 1.08 1.49 1.62 1.65 1.65 1.63 N/A 0.85 0.80 0.71 0.69 0.56 0.64 0.70 0.88 0.95

    Fig. 5. Optimum LFs for (a) DL and (b) LL for Driven Piles Used as

    Bridge Substructures, Resulting from Reliability Analyses

    Using the Load Uncertainties Proposed by Nowak (1999)

    (the optimum LFs in the figures are given as values in Table5)

    Fig. 6. Optimum RFs for (a) Qb,ultand (b) QsL for Driven Piles Used

    as Bridge Substructures, Resulting from Reliability Analy-

    ses Corresponding to the Load Uncertainties Proposed by

    Nowak (1999) (the optimum RFs in the figures are given as

    values in Table 5)

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    respectively, depending on the QDL,n/QLL,n and Qb,ult,n/QsL,n ratios

    (QDL,n/QLL,n and Qb,ult,n/QsL,n ranges of 0.5-4 and 0.5-10, respecti-

    vely). TheRFshaftcorresponding to Qb,ult,n/QsL,n = 0 are not highli-

    ghted in Table 6 and are excluded in the tentative RFshaft recom-

    mendations because it is unlikely to find Qb,ult,n/QsL,n= 0 cases in

    practice (Qb,ult,n = 0 may not be possible for a pile base located at

    a sand layer).

    TheRFbase andRFshaftcorresponding to specific QDL,n/QLL,n and

    Qb,ult,n/QsL,n ratios for the piles used as bridge substructures are

    summarized in Table 7 and are represented in Fig. 8. The

    calculatedRFbase andRFshaftvalues for driven piles used as bridge

    substructures are not much different from those values for

    building cases. For driven piles used as bridge substructures, the

    specific values ofRFbase andRFshaft are within ranges of 0.71-

    0.96 and 0.65-1.06 forT= 2.5, 0.64-0.87 and 0.57-0.99 forT=

    3.0, 0.56-0.82 and 0.51-0.94 forT= 3.5, respectively, depending

    on the QDL,n/QLL,n and Qb,ult,n/QsL,n ratios (RFshaftvalues forQb,ult,n/

    QsL,n= 0 are excluded).

    Table 6. RFbase and RFshaft Values of Axially-loaded Single Driven Piles Used as Foundations of Building Structures; Compatible with

    ASCE/SEI 7-05 LFs (ASCE, 2005)

    T QDL,n/QLL,n

    RFbase RFshaft

    Qb,ult,n/QsL,n Qb,ult,n/QsL,n

    0 0.5 1 5 10 0 0.5 1 5 10

    2.5

    0.5 N/A 0.93 0.86 0.77 0.76 0.65 0.71 0.76 0.94 1.02

    1 N/A 0.93 0.86 0.77 0.75 0.61 0.69 0.75 0.96 1.03

    2 N/A 0.89 0.82 0.72 0.70 0.59 0.65 0.70 0.91 0.99

    4 N/A 0.86 0.79 0.69 0.68 0.57 0.62 0.67 0.88 0.96

    3.0

    0.5 N/A 0.82 0.75 0.66 0.65 0.57 0.60 0.65 0.83 0.90

    1 N/A 0.86 0.77 0.68 0.67 0.54 0.61 0.66 0.87 0.96

    2 N/A 0.84 0.76 0.66 0.64 0.51 0.58 0.64 0.86 0.95

    4 N/A 0.81 0.73 0.63 0.61 0.50 0.55 0.61 0.82 0.92

    3.5

    0.5 N/A 0.72 0.65 0.56 0.56 0.47 0.51 0.55 0.73 0.80

    1 N/A 0.76 0.67 0.58 0.57 0.48 0.52 0.56 0.76 0.86

    2 N/A 0.79 0.71 0.61 0.59 0.45 0.52 0.58 0.81 0.91

    4 N/A 0.76 0.67 0.57 0.55 0.43 0.49 0.55 0.78 0.87

    Fig. 7. RFs for (a) Qb,ultand (b) QsL for Building Structures Compat-

    ible with ASCE-7 LFs

    Table 7. RFbase and RFshaft Values of Axially-loaded Single Driven Piles Used as Foundations of Bridge Structures; Compatible with

    AASHTO LFS (AASHTO, 2007)

    T QDL,n/QLL,n

    RFbase RFshaft

    Qb,ult,n/QsL,n Qb,ult,n/QsL,n

    0 0.5 1 5 10 0 0.5 1 5 10

    2.5

    0.5 N/A 0.92 0.85 0.75 0.74 0.66 0.69 0.74 0.94 1.01

    1 N/A 0.96 0.87 0.77 0.76 0.63 0.70 0.75 0.97 1.06

    2 N/A 0.92 0.85 0.74 0.73 0.61 0.67 0.73 0.95 1.03

    4 N/A 0.90 0.82 0.72 0.71 0.60 0.65 0.70 0.92 1.01

    3.0

    0.5 N/A 0.83 0.75 0.66 0.65 0.56 0.59 0.64 0.84 0.92

    1 N/A 0.86 0.77 0.67 0.66 0.55 0.60 0.65 0.87 0.96

    2 N/A 0.87 0.79 0.68 0.66 0.53 0.60 0.66 0.89 0.99

    4 N/A 0.84 0.76 0.65 0.64 0.52 0.57 0.63 0.86 0.96

    3.5

    0.5 N/A 0.74 0.66 0.57 0.56 0.47 0.51 0.56 0.75 0.84

    1 N/A 0.77 0.69 0.59 0.58 0.48 0.52 0.57 0.78 0.88

    2 N/A 0.82 0.73 0.62 0.60 0.46 0.53 0.60 0.84 0.94

    4 N/A 0.79 0.70 0.59 0.57 0.45 0.51 0.57 0.81 0.91

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    The equivalentRF(RFeq) values of total capacities were cal-

    culated fromRFbase andRFshaftusing the following equation:

    (15)

    For three different levels ofT(2.5, 3.0, and 3.5),RFeq values

    were calculated for different ratios of QDL,n/QLL,nand Qb,ult,n/QsL,n,

    and they are summarized in Table 8. As mentioned earlier, a

    lower value of Qb,ult,n/QsL,n (0-0.5) may not be encountered in

    practice; therefore,RFeq values corresponding to Qb,ult,n/QsL,n = 0

    are excluded in theRFeq comparison for the givenT. It is found

    that, for a given target reliability index, there is a substantial

    change ofRFeq with respect to QDL,n/QLL,n and QDL,n/QLL,n.

    The current LRFD design specifications and other literature

    propose a single RF value for total capacity for a given target

    reliability index. If we were to propose a single value of RF for

    the total pile capacity without differentiating QDL,n/QLL,n and

    Qb,ult,n/QsL,nfor a given target reliability index, we may suggest

    the lowestRFeq value among theRFeq values (Table 8) calculated

    for the target reliability index. Designs of driven piles in sands

    using these lowestRFeq values result in uneconomical designs by

    imposing an extra margin of safety in pile designs, which can be

    represented by the difference between the RFeq values for eachRFeq RFbaseQb ult n, , RFsha ftQsL n,+

    Qb ult n, , QsL n,+--------------------------------------------------------------=

    Fig. 8. RFs for (a) Qb,ult and (b) QsL for Bridge Structures Compati-

    ble with AASHTO LFs

    Table 8. Equivalent Resistance Factor (RFeq) of Total Pile Capacity Qult of Axially-loaded Single Driven Piles Used as Foundations of

    Building and Bridge Structures

    T QDL,n/QLL,n

    Driven piles used for building substructures Driven piles used for bridge substructures

    Qb,ult,n/QsL,n Qb,ult,n/QsL,n

    0 0.5 1 5 10 0 0.5 1 5 10

    2.5

    0.5 0.65 0.78 0.81 0.80 0.78 0.66 0.77 0.79 0.78 0.77

    1 0.61 0.77 0.81 0.80 0.78 0.63 0.79 0.81 0.80 0.79

    2 0.59 0.73 0.76 0.75 0.73 0.61 0.75 0.79 0.78 0.76

    4 0.57 0.70 0.73 0.72 0.71 0.60 0.73 0.76 0.75 0.73

    3.0

    0.5 0.57 0.67 0.70 0.69 0.67 0.56 0.67 0.70 0.69 0.67

    1 0.54 0.69 0.72 0.71 0.70 0.55 0.69 0.71 0.70 0.69

    2 0.51 0.67 0.70 0.69 0.67 0.53 0.69 0.72 0.71 0.69

    4 0.50 0.64 0.67 0.66 0.64 0.52 0.66 0.69 0.69 0.67

    3.5

    0.5 0.47 0.58 0.60 0.59 0.58 0.47 0.58 0.61 0.60 0.59

    1 0.48 0.60 0.62 0.61 0.60 0.48 0.60 0.63 0.62 0.60

    2 0.45 0.61 0.65 0.64 0.62 0.46 0.63 0.67 0.66 0.63

    4 0.43 0.58 0.61 0.61 0.58 0.45 0.60 0.63 0.63 0.60

    Table 9. Equivalent Factor of Safety (FSeq) of Axially-loaded Single Driven Piles Used as Foundations of Building and Bridge Structures

    T QDL,n/QLL,n

    Driven piles used for building substructures Driven piles used for bridge substructures

    Qb,ult,n/QsL,n Qb,ult,n/QsL,n

    0 0.5 1 5 10 0 0.5 1 5 10

    2.5

    0.5 2.26 1.87 1.81 1.84 1.87 2.41 2.06 2.00 2.02 2.06

    1 2.30 1.82 1.74 1.75 1.81 2.38 1.91 1.85 1.87 1.912 2.26 1.83 1.75 1.77 1.84 2.32 1.89 1.80 1.83 1.88

    4 2.25 1.83 1.75 1.77 1.81 2.26 1.85 1.77 1.80 1.84

    3.0

    0.5 2.57 2.18 2.10 2.13 2.18 2.85 2.36 2.28 2.31 2.36

    1 2.59 2.02 1.96 1.97 2.01 2.72 2.18 2.10 2.13 2.18

    2 2.61 2.00 1.90 1.92 2.00 2.68 2.07 1.96 1.99 2.05

    4 2.56 2.01 1.91 1.93 2.01 2.61 2.04 1.94 1.97 2.03

    3.5

    0.5 3.12 2.53 2.44 2.49 2.52 3.38 2.71 2.60 2.63 2.70

    1 2.92 2.33 2.28 2.30 2.35 3.12 2.49 2.39 2.42 2.48

    2 2.96 2.19 2.07 2.07 2.15 3.08 2.26 2.13 2.15 2.23

    4 2.98 2.21 2.10 2.12 2.21 3.02 2.25 2.13 2.16 2.23

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    QDL,n/QLL,n and Qb,ult,n/QsL,n and the lowest value ofRFeq within

    each target reliability index.

    The design guides or specifications (AASHTO, 2002; USACE,

    1993) regarding driven piles propose to use a FS range of 2.5-3.0

    for pile designs using the ASD. The equivalent FS (FSeq) values

    are calculated using the following equation:

    (16)

    For each T (2.5, 3.0, and 3.5), FSeq values were calculated

    using Eq. (16) for different ratios of QDL,n/QLL,n and Qb,ult,n/QsL,n(Table 9). As shown in Table 9, the FSeq values for driven piles

    used for building substructures were less than those values for

    bridge substructures. The FSeq values were within ranges of 1.74-

    2.06 forT= 2.5, 1.90-2.36 forT= 3.0, and 2.07-2.71 forT=

    3.5. From the comparison between theFSeq values in Table 9 and

    the FS values (2.5-3.0) proposed in ASD design guides and

    specifications, it is inferred that driven piles designed using the

    RF values (LRFD) proposed in this paper could lead to more

    economical designs of axially-loaded driven piles in sands than

    those designed using FS (ASD).

    6. Conclusions

    In this study, we separated the RF for total pile capacity into

    two resistance factors, RFbase forQb,ult and RFshaft forQsL. The

    equations used for Qb,ult and QsLpredictions of axially-loaded

    driven piles in sands are the ones proposed in the ICP design

    methods. The uncertainties of Qb,ult and QsL are assessed by

    identifying their bias factors, coefficients of variation, and

    distribution types obtained from the existing database used for

    ICP design method development. For three different Tvalues

    (2.5, 3.0, and 3.5), RFbase and RFshaft are calculated based on

    reliability analyses for different combinations ofQDL,n/QLL,n, and

    Qb,ult,n/QsL,n, within their possible ranges (QDL,n/QLL,n = 0.5-4 and

    Qb,ult,n/QsL,n = 0.5-10). As a result, for a givenT,RFbase andRFshaftwere highly dependent on QDL,n/QLL,n, and Qb,ult,n/QsL,n.

    The benefit of selecting RF values (RFbase andRFshaft) with dif-

    ferentiating QDL,n/QLL,n, and Qb,ult,n/QsL,n was evaluated by com-

    paring the corresponding RFeq values for different QDL,n/QLL,n,

    and Qb,ult,n/QsL,n ratios. For a givenT, among the calculatedRFeq

    values for different QDL,n/QLL,n, and Qb,ult,n/QsL,n ratios, a difference

    between the minimum to the maximumRFeq was more than 10%

    of the maximumRFeq.

    In this paper, tentativeRFbase andRFshaftvalues are calculated

    and suggested in Table 6 (resistance factors for driven piles used

    as building substructures) and Table 7 (resistance factors for

    driven piles used as bridge substructures) for LRFD of axially-

    loaded driven piles in sands. From the comparison between the

    FS values proposed for driven pile ASDs and the FSeq values

    (Table 9) calculated from RFeq (Table 8), it is inferred that the

    designs of driven piles using the tentative RF values proposed in

    this paper could contribute economical designs. For an economi-

    cal driven pile design with a given target reliability index, rather

    than using a single conservative resistance factor of total pile

    capacity, designers may use the RF values that reflect different

    QDL,n/QLL,n and Qb,ult,n/QsL,n ratios.

    Notations

    Ab: Pile base area

    As,i: Pile shaft area of ith sublayer

    ASD: Allowable stress design

    COV: Coefficient of variation

    DCPT: Diameter of cone

    Dpile: Outer diameter of pile

    DL: Dead load

    FORM: First-order reliability method

    : Factor of safety

    FSeq: Equivalent factor of safety

    G: Shear stiffness

    h: Distance along pile shaft from pile base

    ICP: Imperial College Pile

    LF: Load factor

    LF*DL: Optimum dead load factor

    LF*LL: Optimum live load factor

    LL: Live load

    LRFD: Load and resistance factor design

    RF: Resistance factor

    RFbase: Resistance factor for base resistance

    RFshaft: Resistance factor for shaft resistance

    RF*base: Optimum resistance factor for base resistance

    RF*shaft: Optimum resistance factor for shaft resistance

    RFeq: Equivalent resistance factor

    pA: Reference stress (100kPa)

    QDL,n: Nominal dead load

    QLL,n: Nominal live load

    Qi,n: Nominal load

    Qi,LS: Load corresponding to the most probable ultimate limit

    state

    Qb,ult: Ultimate base resistance

    Qb,ult,n: Nominal ultimate base resistance

    Qbase,LS: Base resistance corresponding to the most probable

    ultimate limit state

    Qshaft,LS: Shaft resistance corresponding to the most probable

    ultimate limit state

    QsL: Limit shaft resistance

    QsL,n: Nominal limit shaft resistance

    qb,ult: Unit ultimate base resistance

    qc: Cone resistance

    qcb,avg: Average cone resistance at the location of pile base

    qsL: Unit limit shaft resistance

    ULS: Ultimate limit state

    : Reliability index

    T: Target reliability index

    r: Radial displacement during pile loading

    cv: Critical-state interface friction angle between pile shaft

    and surrounding soils

    FSeq Qb ult n, , QsL n,+QDL n, QLL n,+------------------------------- LFDLQDL n, LFLLQLL n,+

    RFeq

    QDL n, QLL n,+( )-----------------------------------------------------= =

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    : Bias factor

    : Mean

    eq: Equivalent mean

    : Standard deviation

    eq: Equivalent standard deviation

    'v: Vertical effective stress

    Acknowledgements

    The research presented in this paper was performed as parts of

    the Super long span bridge research project funded by the

    Ministry of land, transport and maritime affairs of South Korea

    and the Development of hybrid large-scale foundation with high

    efficiency project funded by Korea Institute of Construction

    Technology. The authors acknowledge the support from these

    two organizations.

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