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This article was downloaded by: [Ghannoum, Wassim M.]On: 1 October 2008Access details: Access Details: [subscription number 903256142]Publisher Taylor & FrancisInforma Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House,37-41 Mortimer Street, London W1T 3JH, UK
Journal of Earthquake EngineeringPublication details, including instructions for authors and subscription information:http://www.informaworld.com/smpp/title~content=t741771161
Analytical Collapse Study of Lightly Confined Reinforced Concrete FramesSubjected to Northridge Earthquake Ground MotionsWassim M. Ghannoum a; Jack P. Moehle b; Yousef Bozorgnia b
a Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin,Texas, USA b Pacific Earthquake Engineering Research Center, University of California, Berkeley, California,USA
Online Publication Date: 01 September 2008
To cite this Article Ghannoum, Wassim M., Moehle, Jack P. and Bozorgnia, Yousef(2008)'Analytical Collapse Study of Lightly ConfinedReinforced Concrete Frames Subjected to Northridge Earthquake Ground Motions',Journal of Earthquake Engineering,12:7,1105 —1119
To link to this Article: DOI: 10.1080/13632460802003165
URL: http://dx.doi.org/10.1080/13632460802003165
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Journal of Earthquake Engineering, 12:1105–1119, 2008
Copyright � A.S. Elnashai & N.N. Ambraseys
ISSN: 1363-2469 print / 1559-808X online
DOI: 10.1080/13632460802003165
Analytical Collapse Study of Lightly ConfinedReinforced Concrete Frames Subjected toNorthridge Earthquake Ground Motions
WASSIM M. GHANNOUM1, JACK P. MOEHLE2,and YOUSEF BOZORGNIA2
1Department of Civil, Architectural and Environmental Engineering, University
of Texas at Austin, Austin, Texas, USA2Pacific Earthquake Engineering Research Center, University of California,
Berkeley, California, USA
Review of older non seismically detailed reinforced concrete building collapses shows that mostcollapses are triggered by failures in columns, beam-column joints, and slab-column connections.Using data from laboratory studies, failure models have previously been developed to estimateloading conditions that correspond to failure of column components. These failure models havebeen incorporated in nonlinear dynamic analysis software, enabling complete dynamic simulationsof building response including component failure and the progression of collapse. A reinforcedconcrete frame analytical model incorporating column shear and axial failure elements wassubjected to a suite of near-fault ground motions recorded during the 1994 Northridge earthquake.The results of this study show sensitivity of the frame response to ground motions recorded from thesame earthquake, at sites of close proximity, and with similar soil conditions. This suggests that thevariability of ground motion from site to site (so-called intra-event variability) plays an importantrole in determining which buildings will collapse in a given earthquake.
Keywords Collapse; Concrete; Frame; Columns; Shear; Axial
1. Introduction
Post-earthquake studies show that the primary cause of reinforced concrete building collapse
during earthquakes is the loss of vertical-load-carrying capacity in critical building compo-
nents leading to cascading vertical collapse, rather than loss of lateral-load capacity. In cast-
in-place beam-column frames, the most common cause of collapse is failure of columns,
beam-column joints, or both. Once axial failure occurs in one or more components, vertical
loads arising from both gravity and inertial effects are transferred to adjacent framing
components. The ability of the frame to continue to support vertical loads depends on both
the capacity of the framing system to transfer these loads to adjacent components and the
capacity of the adjacent components to support the additional load. When one of these
conditions is deficient, progressive failure of the building can ensue.
Post-earthquake reconnaissance of reinforced concrete buildings provides some insight into
the prevalence of collapse among populations ofheavily shaken buildings. Otani [1999] reported
damage statistics of reinforced concrete buildings, with damage defined in three categories:
Received 4 April 2007; accepted 18 January 2008.
Address correspondence to Wassim M. Ghannoum, Department of Civil, Architectural and Environmental
Engineering, University of Texas at Austin, 1 University Station C1748, Austin, TX 78712-0273, USA; E-mail:
1105
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1. operational damage (light to minor damage): columns or structural walls were slightly
damaged in bending, and some shear cracks might be observed in non structural walls;
2. heavy damage (medium to major damage): spalling and crushing of concrete, buckling
of reinforcement, or shear failure in columns were observed, and lateral resistance of
shear walls might be reduced by heavy shear cracking; and
3. collapse (partial and total collapse), which also included those buildings demolished at
the time of investigation.
Figure 1 presents the distribution of damage for four earthquakes reported by Otani
[1999]. For the 1985 Mexico earthquake, data are restricted to the lakebed zone of
Mexico City; for the 1990 Luzon, Philippines earthquake, data are from Baguio City;
for the 1992 Erzincan, Turkey earthquake, data are from two heavily damaged residential
areas of Erzincan; and for the 1995 Kobe earthquake, data are from areas of highest
seismic intensity in Kobe and restricted to buildings constructed before enforcement of
the 1981 Building Standard Law. Figure 1 shows that even in areas of highest damage in
famously damaging earthquakes, the collapse rates of lightly detailed reinforced concrete
buildings are relatively low.
Given the relatively low collapse rate shown in Fig. 1, it is reasonable to postulate that
refined engineering tools might be useful to identify those buildings that are most collapse
prone, so that resources could be focused on seismic mitigation of those buildings. Laboratory
studies of reinforced concrete columns with light transverse reinforcement have identified
primary variables that contribute to loss of column axial-load capacity. These models have
been implemented in nonlinear dynamic analysis software that can be used to simulate
building collapse during earthquake shaking. The software is used in a limited study to
simulate building response to a series of strong ground motions recorded within a relatively
small region during the 1994 Northridge earthquake. The results provide some insight into the
collapse of building frames as well as the influence of local ground motion on collapse.
2. Shear and Axial Load Failure of Reinforced Concrete Columns
The focus of this study was on buildings having reinforced concrete columns with
relatively light transverse reinforcement and with proportions that enable the columns
to yield in flexure prior to developing shear or axial failure. Columns with these details
FIGURE 1 Damage statistics from four earthquakes (adapted from Otani, 1999).
1106 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
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and proportions may be able to sustain moderately large lateral deformations prior to
failure; a challenge is to estimate the lateral drift at which failure occurs. Other building
types, while of interest, were not studied here.
For a column that yields in flexure, the lateral strength is limited to the flexural
strength, and therefore can be calculated with relatively high accuracy. The column may
subsequently sustain apparent shear failure. Although the details of the mechanism
leading to shear failure are not fully understood, it is postulated that crack opening and
tensile strains reduce the shear-carrying capacity of the concrete, while spalling and bond
distress lead to degradation of the reinforcement contribution. To identify whether shear
failure is likely, it is necessary to estimate whether the shear strength will degrade to less
than the flexure strength.
Sezen and Moehle [2004] reported a model for shear strength of columns that
initially yield in flexure. The empirical model is based on theoretical concepts of shear
resistance but is calibrated to test data. The shear strength is defined as:
Vn ¼ Vs þ Vc ¼ kAstfytd
sþ k
0:5ffiffiffiffif 0c
pa=d
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi1þ P
0:5ffiffiffiffif 0c
pAg
s !0:8Ag ðMPa unitsÞ; (1)
where Vs and Vc are shear contributions assigned to steel and concrete; k is a parameter
equal to 1 for �� � 2, equal to 0.7 for �� � 6, and varies linearly for intermediate ��values; �� = displacement ductility; Ast = area of shear reinforcement parallel to the
horizontal shear force within spacing s; fyt = yield strength of transverse reinforcement;
d = effective depth (= 0.8 h, where h = section depth parallel shear force); P = axial
compression force; f 0c = concrete compressive strength (MPa); Ag = gross section area,
and a/d = shear span/effective depth (value limited between 2 and 4). Figure 2 compares
measured and calculated shear strengths for the experimental column database used. The
mean ratio of measured to calculated strength and its coefficient of variation are 1.05 and
0.15.
If shear strength degrades to below flexure strength, shear failure is anticipated.
Elwood and Moehle [2005a] developed an empirical model to estimate deformation at
shear failure using the same data, as shown in Fig. 2. For this model, shear failure was
2.0
1.5
1.0
0.5
0.00 2 4 6 8
μ = 1.06
σ = 0.15
Displacement Ductility
Tes
t/mea
sure
d st
reng
th
FIGURE 2 Ratios of strengths measured during tests to strengths calculated by the
strength model [Sezen and Moehle, 2004].
Analytical Collapse Study of Lightly Confined RC Frames 1107
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defined as the loss of 20% of the maximum shear strength. The data show that deforma-
tion at shear failure decreases with increasing shear stress, increasing axial stress, and
decreasing transverse reinforcement index. According to the model, deformation at shear
failure is defined as:
�s ¼3
100þ 4�00 � 1
42
�ffiffiffiffif 0c
p � 1
40
P
Agf 0c� 1
100ðMPa UnitsÞ; (2)
where r† = transverse steel ratio and v = nominal shear stress. Figure 3 [Elwood and
Moehle, 2005a] compares results from tests and from Eq. (2). The mean ratio of
measured to calculated drift at shear failure and its coefficient of variation are 0.97 and
0.34, respectively.
Axial load failure may coincide with onset of shear failure or may occur at larger
drift. Elwood and Moehle [2005b] used concepts of shear-friction and experimental data
to derive an expression for the drift at axial load failure of columns initially yielding in
flexure, then developing shear failure, and finally developing axial failure. The drift at
shear failure is estimated as:
�a ¼4
100
1þ tan2 �
tan �þ P sAstfytdc tan �
� � ; (3)
in which y = critical crack angle (assumed = 65�) and dc = depth of the column core
measured parallel to the applied shear. Figure 4 [Elwood and Moehle 2005b] compares
results of tests and Equation 3.
It is important to note that the models presented were for columns with rectangular
cross section, relatively light, and widely spaced transverse reinforcement, subjected to
unidirectional lateral load. Additional data are needed to validate models for other
conditions.
FIGURE 3 Displacement capacity measured and calculated by Eq. (2) [Elwood and
Moehle, 2005a].
1108 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
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3. Implementation of Shear and Axial Failure Models in OpenSEES
Shear and axial failures were modeled in OpenSEES [2004] by adding at the end of the
columns zero-length Limit State spring elements developed by Elwood [2002] (Fig. 5).
These elements have differing backbone curves before and after failures are detected.
Prior to shear failure, the shear springs are elastic with stiffness corresponding to the
shear stiffness of the column. Once the element reaches the limit curve defined by an
empirical shear-drift relation [Elwood and Moehle, 2005a] the shear spring backbone
curve is modified to a degrading hysteretic curve (Fig. 6). The shear degrading slope Kdeg
is calibrated based on observations from previous tests [Nakamura and Yoshimura, 2002],
which have shown that axial failure is initiated when shear strength degrades to about
zero.
FIGURE 5 Zero-length springs [Elwood, 2002].
FIGURE 4 Drift capacity curve based on shear-friction model [Elwood and Moehle,
2005b].
Analytical Collapse Study of Lightly Confined RC Frames 1109
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Similarly, the zero-length axial springs have a ‘‘rigid’’ backbone prior to reaching the
axial load versus drift limit curve [Elwood and Moehle, 2005b] (Fig. 6). This limit curve is
defined by the shear-friction model and assumes that shear failure has already occurred in
the element. Once the column element reaches that drift limit curve, its axial load versus
vertical deformation backbone is modified to a degrading hysteretic material model.
Because the shear-friction model only describes compression failures, the backbone is
only redefined for compressive axial loads. Beyond the initiation of axial failure, a coupling
effect exists between the horizontal and vertical deformations where an increase in hor-
izontal drift causes an increase in vertical deformation. This effect is modeled in the vertical
spring element with an iterative procedure that keeps the column response on the horizontal
drift versus axial load curve defined by the shear-friction model. When the earthquake
motion reverses direction, the vertical spring backbone is redefined to an elastic response
with a reduced elastic stiffness to account for the damage in the column. This modification
also halts the axial degradation in the column as it is assumed that the critical shear crack
closes and prevents any further sliding along that crack.
Shear Element Response
Axial Element Response
FIGURE 6 Shear and axial zero-length element responses and limit curves [Elwood,
2002].
1110 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
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4. Study of the Dynamic Response of a Building Frame
4.1. Building Frame Description
For this study, a three-bay, three-story reinforced concrete (RC) frame dimensioned to
represent typical 1960s and 1970s office building construction in California was
subjected to a series of ground motions from the Northridge earthquake. The full-
scale building frame shown in Fig. 7 was designed for third-scale, shaking-table testing
at the University of California, Berkeley under an ongoing research effort aimed at
understanding non ductile RC frame collapse mechanisms. Two of the columns in this
frame have non ductile detailing with widely spaced ties and 90� hooks, while the other
two columns have ductile detailing as per ACI 318–2002 recommendations. Since
typical RC building frames contain columns with varying axial loads, dimensions, and
reinforcing details, they sustain a staggered failure mechanism whereby different
columns fail at different drifts. The ductile columns in the test frame, while not
apparently representative of older existing construction, were introduced to simulate
that effect.
Beam dimensions and reinforcements were chosen to create a weak-column strong-
beam mechanism as well as to reduce joint shear stresses. The resulting concentration of
damage in the non ductile columns is intended to force axial collapse in these columns at
high drifts. The beam reinforcement details are typical of those in moment-resisting
frames built in the 1960s and 1970s in California.
Masses added to the frame for the dynamic analysis are equivalent to those expected
considering dead loads from a one-way slab system typical of office building construc-
tion. The masses result in approximately 0.16Agf´c axial load on the first-floor center
columns.
FIGURE 7 Frame details.
Analytical Collapse Study of Lightly Confined RC Frames 1111
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As this analytical study was completed prior to the completion of the physical frame
tests, target material properties were used in the modeling. Concrete cylinder strength f´c
is thus taken as 24.6 MPa and target steel yield strength fy as 486 MPa. Beams are
modeled as lumped-plasticity elements with an equivalent flexural stiffness derived from
fiber-section analysis. Columns are modeled as fiber-section elements to account for
variable axial load effects. Concrete for fiber-sections is modeled in OpenSees [2004]
using the concrete01 uniaxial material model (Kent-Scott-Park model with a degraded
unloading/ reloading stiffness according to Karsan and Jirsa, 1969). Concrete is modeled
with no tension strength. Steel for fiber-sections is modeled using the steel01 model
(bilinear with kinematic hardening). Slip of longitudinal reinforcement from joints and
footings is considered using rotational springs at column and beam ends. Effects of
splices are not modeled and joints are considered as rigid. Damping used was mass and
stiffness proportional (first and third modes) with a damping ratio of 5% of the critical
value.
The resulting OpenSEES [2004] analytical structure had an initial elastic first-mode
period T1 = 0.62 s, and a second-mode period T2 = 0.19 s. The effective first-mode period
near collapse of the model was about 1.0 s. The initial elastic periods were obtained from
the eigenvalue solution of the analytical model loaded only with gravity loads. Thus,
these periods were obtained with beams having flexural properties equivalent to a fully
‘‘cracked’’ section (no tension force in the concrete material) while the columns, which
were under gravity compression, had the flexural stiffnesses of effectively ‘‘un-cracked’’
sections. During tests of a physical model of this frame on the University of California,
Berkeley shaking table the equivalent full-scale elastic periods of this frame prior to its
collapse testing were recorded as T1 = 0.61 s and T2 = 0.20 s.
4.2. Selected Earthquake Ground Motions
The structural model is subjected separately to both components of seven ground motions
recorded during the 1994 Northridge, California, earthquake. By choosing the records
from a single earthquake, the earthquake-to-earthquake variability of ground motions is
excluded from the analysis. Additionally, by selecting a set of recording sites located in
the same general area, spatial variability of the recorded ground motion is relatively
reduced. The selected strong motion recording stations are listed in Table 1.
The locations of the recording stations, along with the epicenter and the surface
projection of the fault rupture plane are mapped in Fig. 8. As provided in Table 1, the
selected recording stations constitute a closely spaced cluster of sites located between 5.2
and 6.5 km from the fault plane. The sites have either NEHRP (ICC 2003) site class ‘C’
or ‘D’. The shear-wave velocity in the top 30 m of soil is in the range of 251–441 m/s (see
Table 1).
Figure 9 shows 5% damped elastic response spectra of the horizontal ground motions
at the selected sites. This figure shows the variability of the ground motion in terms of a
linearly elastic structural response intensity measure. The effects of such variability on
nonlinear dynamic response of the structural models will be discussed in the next section.
4.3. Analysis Results
Dimensioning and detailing of the frame were chosen to concentrate damage in the non
ductile columns at the first floor level, with little or no damage in the upper floor columns
prior to collapse. To get a sense of the damage sequence of the frame up to collapse, the
frame model was subjected to a pushover analysis driven by lateral forces with a first
1112 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
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mode vertical distribution acting from the ductile column side of the frame toward the
‘‘non ductile’’ side. The observed response and damage sequence for the frame are
summarized in Fig. 10, which plots the base shear versus first-story drift ratio for this
analysis. This figure also marks the various damage milestones, which are described next.
1. Yielding of all first-story column longitudinal steel occurs at a first floor horizontal
drift between approximately 0.7 and 1.0%.
2. At higher drifts, shear failures initiate in the yielded regions of both non ductile
columns. This occurs at about 2.2% horizontal drift.
TABLE 1 Strong ground motion records used in this study
Station
Ground motion
horizontal
components 1
Ground motion
horizontal
components 2
Rrup
(km)
Nehrp
site class
VS30
(m/s)
Rinaldi Receiving Sta RRS228 RRS318 6.5 D 282
Sylmar – Converter Sta SCS142 SCS052 5.3 D 251
Newhall – Fire Sta NWH360 NWH090 5.9 D 269
Sylmar – Converter
Sta East
SCE018 SCE288 5.2 C 371
Sylmar – Olive View
Med FF
SYL360 SYL090 5.3 C 441
Jensen Filter Plant JEN292 JEN022 5.4 C 373
Newhall – W Pico
Canyon Rd.
WPI046 WPI316 5.5 D 286
Notes: Rrup = Distance to fault rupture plane.NEHRP = U.S. National Earthquake Hazard Reduction Program (ICC 2003).Vs30 = Average shear-wave velocity in the top 30-m of soil.Ground motion horizontal components are presented in two sets, components 1 and 2 whichcorrespond to the components that produce higher and lower damage to the frame, respectively.
FIGURE 8 The 1994 Northridge, California, earthquake: Epicenter (star symbol),
surface projection of the fault plane, and locations of the selected recording stations
(solid circles) are marked.
Analytical Collapse Study of Lightly Confined RC Frames 1113
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3. Between approximately 2.2 and 5.5% horizontal drift, there is a gradual loss of shear
resistance in the non ductile columns until the point where the residual shear capacity
degrades to the capacity required to support axial loads.
4. At that drift level, axial failure is initiated in the nonductile columns. It is important to
note here that these high failure drift levels are mainly a function of the low axial load
on the columns as well as the flexure-then-shear failure sequence in the columns.
5. As the structure is pushed to even higher drifts, it collapses on the non ductile side of
the frame dragging the ductile side with it. A drift of 8% on the first floor was assessed
as the complete collapse drift for this frame.
0
20
40
60
80
100
120
Drift Ratio (%)
Bas
e Sh
ear F
orce
(KN
)
Long. steelyielding
Shear failureinitiation
Residual shearstrengths
SpallingNon-DuctileOuter Col.
DuctileOuter Col.
Non-DuctileInner Col.
DuctileInner Col.
First Floor Columns
Axial failureinitiation Projected behavior
XCollapse
0 1 2 3 4 5 6 7 8 9
FIGURE 10 Frame first–story pushover curve.
0
0.5
1
1.5
2
2.5
3
Ground Motion Horizontal Components 1
Period (sec)
Spe
ctra
l Acc
eler
atio
n (g
) T1 = 0.62 secRRS228SCS142NWH360SCE018SYL360JEN292WPI046Mean
Ground Motion Horizontal Components 2
RRS318SCS052NWH090SCE288SYL090JEN022WPI316Mean
0 0.5 1 1.5 2 2.5
T2 = 0.19 sec
Period (sec)0 0.5 1 1.5 2 2.5
0
0.5
1
1.5
2
2.5
3
Spe
ctra
l Acc
eler
atio
n (g
) T1 = 0.62 sec
T2 = 0.19 sec
FIGURE 9 Elastic response spectra for 5% damping for both horizontal components of
the selected 1994 Northridge records.
1114 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
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As the first-story columns yield in flexure and sustain significant damage, a first
mode pushover load pattern is no longer representative of seismic excitation. However,
since damage and inelastic deformations are concentrated at the first-story level (Fig. 11),
the effect of pushover load distribution is minimal on first-story damage sequence and
drifts presented in Fig. 10. Similar failure sequences and drifts were observed in dynamic
analyses.
The relatively large drift capacity of this frame is not generally applicable to this
class of buildings, but is a result of the specific conditions of the frame studied. Drift
capacity is sensitive to the amount of axial load on the columns, which drives the axial
failure, as well as the amount of longitudinal steel in the columns, which affects the
flexure-shear failure sequence and provides additional axial resistance [Elwood and
Moehle, 2005b]. Neither of these factors is accounted for in current codes of practice,
particularly the more recent performance-based FEMA 356 [FEMA 356, 2000].
This displacement-controlled behavior prompted the use of the first-story drift ratio
as the damage parameter for comparison between the different ground motion simula-
tions. Figure 12 shows the first-story drift ratio responses of the frame when subjected
to each of the components of the seven ground records individually. Table 2 sum-
marizes the absolute value of the maximum first-story drift ratios for each of the ground
motions.
As can be seen in Fig. 12, there is high variability in the frame response when
subjected to ground motions obtained from the same earthquake at sites of close proxi-
mity with similar soil conditions. These responses ranged from complete collapse of the
frame to almost no yielding of the first-story column longitudinal steel. It is evident here
that local geological and soil conditions have significant effects on the earthquake
response of a structure. As well, a high variability in response is observed in Fig. 12
when considering the frame response to either of the two components of each ground
motion. This suggests that the orientation of the structure can have a significant effect on
its response. While this might relate in part to differences in ground motion associated
with fault normal and fault parallel directions, this is not the sole source of the difference.
To demonstrate this point, the frame was subjected to the SCS142 ground motion in both
the East-West direction as well rotated 180� in the West-East direction. For the EW
direction, frame action resulted in increased axial load in the non ductile columns at peak
0
2
4
6
8
10
12
0 2 4 6 8Normalized Floor Displacements (%)
Floo
r Hei
ght (
m)
ElasticAt Shear Failure InitiationAt Residual Shear
FIGURE 11 Normalized horizontal floor displacements from pushover analysis (displa-
cements are normalized by story height = 3.96 m).
Analytical Collapse Study of Lightly Confined RC Frames 1115
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drift response, leading to loss of axial load carrying capacity. For the rotated ground
motion, frame action resulted in uplift on the non ductile columns at peak drift, in which
case axial failure did not occur.
To better understand why the frame sustained such a wide range of damage due to
these ground motions, several ground motion intensity measures (IMs) are investigated
with relation to the frame maximum first-story drift ratios (absolute values). These IMs
are the peak ground acceleration (PGA), peak ground velocity (PGV), spectral accelera-
tion at the first-mode elastic period (T1) of the structure (SaT1), and two modified
Housner velocity spectrum intensity measures [Housner 1959]. These measures are
derived by integrating the spectral velocity curve over a period range. In this work, the
4 2 0
2 0
6 8 12
Time (sec)
RRS228 SCS142 SCS142neg NWH360 SCE018 SYL360 JEN292 WPI046
X
Initiation of shear failure at +/-2.2% drift
Yielding at +/-0.7% drift
Ground Motion Horizontal Components 1
Initiation of axial load loss at +5.5% drift
–6
–4
–2
0
2
4
6
4 6 8 1JEN022 12Time (sec)
RRS318 SCS052 NWH090 SCE228 SYL090
WPI316
Ground Motion Horizontal Components 2
Yielding at +/-0.7% drift
Initiation of shear failure at +/-2.2% drift
Initiation of axial load loss at +5.5% drift
Firs
t-Sto
ry D
rift R
atio
s (%
)
–6
–8
–4
–2
0
2
4
6
8
Firs
t-Sto
ry D
rift R
atio
s (%
)
FIGURE 12 First-story drift ratio histories.
1116 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
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period ranges considered were T1 to 1.5 T1 and T2 to 1.5T1 (dubbed SIVT1 and SIVT2).
These IMs are summarized in Table 2 along with the maximum absolute first-story
drift ratios. Figure 13 plots these data with a least-squares linear regression fit through
them and presents the coefficients of determination (R2) for the fits. The results for
PGA were not reported in Fig. 13 as PGA showed least correlation with frame drift
with a coefficient of determination R2 = 0.08. While different relations can be
expected between the IMs presented here and the frame drift ratios for either the
elastic or inelastic drift ranges, it is the intent of this work to only investigate these
relations for inelastic frame deformations. As all the ground motions in this study
pushed the frame into the inelastic range a simple linear regression fit is used here for
quantitative comparison between the different IMs.
As can be seen in Fig. 13, the intensity measure SIVT1 shows a strong linear relation
with respect to maximum first-story drift with an R2 = 0.81. This correlation level is followed
by that of SaT1 and PGV which showed more dispersion with several outliers and R2 values
of 0.57 and 0.51, respectively. SIVT2 did not show much relation to the first-story drift ratios
as the response of this frame is mostly dominated by the first mode.
TABLE 2 Summary table of first-story maximum drift ratios and ground motion
intensity measures
Ground Motion
Maximum
Absolute
First-Story
Drift Ratio
(%)
PGA
(g)
PGV
(cm/s)
Elastic
SaT1 (g)
SIVT1 (cm)
T1!1.5T1
SIVT2 (cm)
T2!1.5T1
RRS 228 8.00* 0.83 160 1.96 5.17 18.0
318 2.41 0.49 74 0.92 2.31 12.0
SCS 142 5.78 0.61 117 1.37 4.04 11.7
142neg 6.55 0.61 117 1.37 4.04 11.7
052 4.89 0.90 102 1.48 3.55 13.6
NWH 360 4.36 0.59 97 2.00 4.36 16.4
090 1.31 0.58 75 1.17 2.17 14.6
SCE 018 2.18 0.83 117 1.11 3.34 14.0
288 1.55 0.49 75 0.76 2.11 9.2
SYL 090 2.20 0.60 78 1.14 2.58 10.6
360 1.36 0.84 129 1.35 2.91 18.1
JEN 292 2.09 0.57 76 0.73 2.04 11.3
022 1.66 1.02 67 1.17 2.98 19.2
WPI 046 0.93 0.45 93 0.65 2.02 7.2
316 0.80 0.33 67 0.56 1.56 6.5
*Limited to 8% drift corresponding to collapse.Notes:PGA = Peak ground acceleration.PGV = Peak ground velocity.SaT1 = Elastic response spectrum value at 1st mode period T1.SIVT1 = Modified Housner [Housner, 1959] Spectrum Intensity =
R 1:5T1
T1SvðT; 5%ÞdT With
Sv(T,n) = velocity response spectrum value corresponding to period T and 5% damping.SIVT2 = same as above with integration bounds ranging from T2 to 1.5T1.
Analytical Collapse Study of Lightly Confined RC Frames 1117
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5. Conclusions
The use of a model for shear and axial failure of lightly confined reinforced concrete
columns is explored for columns that develop shear and axial failure following initial
flexural yielding. Lateral strength can be estimated relatively accurately as the lateral
force corresponding to flexural yield. Propensity for shear failure can be identified using
a shear strength model in which shear strength following flexural yield degrades with
increasing deformation demand. The drift at shear failure varies with transverse reinfor-
cement amount and inversely with nominal axial and shear stresses. Drift at axial failure
varies with transverse reinforcement and inversely with axial load.
The model is implemented in nonlinear dynamic analysis software to demonstrate the
feasibility of conducting nonlinear dynamic analysis including shear and axial failure of
columns. A three-story building model is subjected numerically to a series of ground
motions recorded at stations located between 5.2 and 6.5 km from the fault plane of the
1994 Northridge earthquake and which had similar soft soil conditions. Response of the
frame is found to be very sensitive to the ground motions, with responses to individual
ground motions varying from almost no yielding of longitudinal steel to total collapse.
The response of the frame was very sensitive to its orientation and the component of the
ground motion to which it is subjected. Thus, the variability of ground motion from site to
site (so called intra-event variability) was found to play an important role in analytical
prediction of structural collapse. A modified Housner spectrum intensity measure with
integration bounds between T1 and 1.5T1 was found to correlate well with damage of the
frame.
Experimental studies to validate the numerical results, and additional numerical
studies to validate the ground motion intensity measures that best correlate with collapse,
are needed.
0 50 100 1500
2
4
6
8
R2 = 0.51
PGV (cm/sec.)
Firs
t-S
tory
Drif
t Rat
io (
%)
0 1 2 30
2
4
6
8
R2 = 0.57
Spectral Acceleration at T1 (g)
Firs
t-S
tory
Drif
t Rat
io (
%)
0 1 2 3 4 50
2
4
6
8
R2 = 0.81
SIVT1 (cm)
Firs
t-S
tory
Drif
t Rat
io (
%)
0 5 10 15 200
2
4
6
8
R2 = 0.1
SIVT2 (cm)
Firs
t-S
tory
Drif
t Rat
io (
%)
FIGURE 13 First-story absolute drift ratios vs. ground motion IMs. Circles mark the
horizontal component 1 motions and diamonds the horizontal component 2 motions.
1118 W. M. Ghannoum, J. P. Moehle, and Y. Bozorgnia
Downloaded By: [Ghannoum, Wassim M.] At: 04:18 1 October 2008
Acknowledgments
This work was supported by the Pacific Earthquake Engineering Research Center through
the Earthquake Engineering Research Centers Program of the National Science Founda-
tion under award number EEC-9701568. Any opinions, findings, and conclusions or
recommendations expressed are those of the authors and do not necessarily reflect
those of the National Science Foundation. Ground motion data were obtained from the
PEER ground motion database (http://peer.berkeley.edu).
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