Architectural Institute of Japan
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[iag.,,!,,).,,.,,,,,.,
{8T.".a,L.Oli.S.`;"8f`"A'rl'r"Na.lis,",s,`'N:tg':,",,Ef,gggeering
s.,pt,,ee\et?im:x,ts,Mfivag.i:
APPROACH
TO
STOCHASTIC
RESPONSE
ANALYSIS
'
OF
PIECE-WISE-LINEAR
HYSTERETIC
STRUCTURAL
SYSTEMS
'
-For
Bilinear
Model
by
MASANORI
IZUMI*,
LI
ZAIMING'"
and
HIROSHI
KATUKURA"",
Members
ef
A.
I.
J.
1.
Introduction
Structural
systems underdynamic
loading
usually exhibit nonlinearhysteretic
behaviour,
especially understrong
earthquake excitation.For
reasons of safety and economy,it
is
essentialthat
such
behaviour
ofthe
structures,particularly
ofthe
modernbase-isolated
structures,be
taken
into
accountin
design
and analysis.Indeed,
during
seismic response analysisrnost
of
practical
structures are expressedinte
such nonlinearhysteretic
models asa
bilinear
model,double
bilinear
model,poly-linear
model, origin-oriented model,peak-oriented
model, slip model,Clough's
medel,
andTakeda's
model, etc,,
Such
modelshave
acommon
property
that
the
hysteretic
characteristics censist ofpiece-wise-linear
behaviour.
Therefore,
in
this
paper
we call such a model as apiece-wise-linear
hysteretic
model orp.w.L
hysteretic
modelfor
short.'
On
the
otherhand,
the
stochastic response analysis ofthe
nonlinearstructtiral
modelshas
been
widely studiedduring
the
past
decades.
In
general,
the
up-to-date approachesto
the
analysis canbe
categorized asfollows:
1.
the
Monte-Carlo
simulation
approach6.
the
perturbation
approachi3)
2.
the
Fokker-Planck
equation
approach')")7.
the
Wiener-Hermite
expansien approa ¢hi`)
3.
the
stochasticlinearization
approachS}-9)
'
8.
the
Markov
chaintheory
approachi5)4.
the
stochasticdifferential
equation appioach'O)・i')9,
the
other approximateapproachesiE)
5.
the
cumulant-neglectclosure
approachi2)Among
these
existingapproaches,
the
$tochastic
linearization
approach seemsto
have
the
greatest
potential
in
terms
ofpractical
applications.
In
particular,
Utku,
et al,5)have
proposed
amore
direct
and simplified version oflinearization
technique.
Due
to
its
direct
and simpleformulation
andgood
accuracy,the
Utkuis
linearization
technique
has
found
wideapplications
in
the
stochastic response anaiysis o'fnonlineardynamic
systems,However,
it
has
been
showni?)that
this
rinearization
technique
is
essentiallyinapplicable
to
ap.
w.1.
hysteretic
system
whichhas
large
nonlinearityor
is
excited
athigh
iesponselevel.
This
limitation
canbe
explainedas
follows.
Since
in
ap. w.1,
hysteretic
systemthe
transition
of
the
responsefrom
the
elasticdomain
to
the
plastic
domain
is
not smooth,the
differential
expressionof
the
characteristics andhence
the
differentiation
ofthe
governing
equation
of
motion with respectto
its
state variabiesexhibit
singularity ordiscontinuity.
As
a consequence,this
paper
is
especially
intended
to
present
aboth
convenient and reliable approachto
the
stochaStic response
analysis
of ageneral
p.
w.1.
hysteretic
structural system under earthquakeexcitation.
In
this
paper
we
wi!1
develop
adistinguishing
approachto
smooththe
p.w,1.
hysteretic
systern
in
an equivalentprobabilistic
sense
so
that
the
singutarity maybe
eliminated andthe
application ofthe
Utku's
linearizatiQn
technique
may
become
possible,
The
smoothingtechnique
willenable
usboth
to
conveniently obtain rather satisfactory results ofthe
covariance responsematrix
and
to
directly
evaluatethe
maximumdisplacement
response.Moreever,
the
*
Professor
ofArchitecture
Department,
Engineering
Faculty.
Tohoku
University,
Dr.
ofEngineering
*'Graduate
Student
ofArchitecture
Department,
Engineering
Facutty,
Tohoku
University
**S
Ohsaki
Research
Institute,
Shimizu
Censtruction
Co.,
Ltd.,
Dr.
ofEngineering
(ManuscTipt
[eceivedFebi"ary
8,
198S)
-59-Architectural Institute of Japan
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present
approach willbe
applied concretelyto
the
bilinear
hysteretic
model andfurther
be
examined with numerical simulation.2.
Formulation
ofP.W,
L.
Hysteretic
Structural
Model
The
diffeTential
formulations
ofthe
hysteretic
characteristicsfor
p.
w.L
hysteretic
structural systemshaye
been
developed
by
alot
of researchers.For
ageneral
review, referto
Referenceii).
In
Referencei7),
the
authoishave
developed
asomewhatdifferent
differential
formutation
for
p,
w.1.
hysteretic
structural moclels and expressedit
in
ageneral
form
asfollows.
'
The
nondimensionalnonlinear
restoringforce
for
ap,w.1.
hysteretic
system canbe
described
by
di==ax+(1-a)z-'"''-''・・---・-・・-・・--・・-・・-・-・-・--・・-・・・-・・・---・-・-・-・・----・---(1)
Here
ais
the
post-to-preyield
stiffness ratio,x
is
the
displacement
;.and
zis
the
so-calledhysteresis
and relatedto
x
through
a
first
orderdifferential
equationin
the
following
general
form
:
2=Aic[1-U(th)U(z-1)-U(-t)U(-z-1)]=f(ic,z)・・・・・-・・・・・・・--・・・・・・・・・・・・・・-・・・・・・・・-・・--・・・・・・・・・・・・・・・・・・・・(2}
whereU
is
what we callhere
the
U-step
function
and
defined
by
u(.)-(g
:t:---・---・-・----・---""""""-"."H"H".","-".HH"H"H-."""."<,)
and
A
is
what we callherein
the
hysteresis
coefficient whichdepends
onthe
characteristics ofthe
hysteieticsystem,
For
bilinear
modelA=1・-・・-・・・・・・・・・・-・・・・・・・・-・・・・-・-・・・-・・・・・・・・・・-・・・・・・-・-・-・・・・-・・-・・-・・・・-・-・-・-・
(4a)
For
double
bilinear
mocleiA=1-U(x)U{-dr)U(-2)-U(-x)U(t)U(2)'''''''・・--・''H''"''H''"-'-''-(4b)
For
origin-oriented modelA=-1+v.u{z)1+
v-u(-z)
'''''''''''''''''''''''''''''''-'''-''''''''''''H''H''''(4C
),
A='E-+
v?+
v-
""hH"H-H-H-""h'"'H''"'H'"'-H"H'"'"'M"'k"'"H'
(4d
)
For
peak-oriented
modelFor
slip mode]A=
U(x-
V')U{dr)+
U{-x-
V-)U(-dr)+
U(x)U(-th)U(z)
+U(-x)U(dr)U(-2)・----・-・・-・・-・・--・---・・-・----・----(4e)
For
Clough's
modelA=A'
U(th)U(z)+A'
U(-th)U(-2)+
U{-th)U(z}+
U(X)U(-z)'''''''''
(4
f
)
For
Takeda's
modelA=A'U(th)U(z)+A'U(-th)U(-z)+B'
U(-dr)U(2)+B'U{th)U(-z)
(4g)
Here
V',
V',
A',
A',
B'
and
B'
are state-dependent variables andgiven
by
i
U'=thU(dr)U(z-1)・-・--・・--・---(4h)
U---abU{-th)U(-z-1)-・--・・-・---(4i)
.-
1-2
1+z
A
-1+
v+-.
-'""'"H"H"H'""H"H"
(4
j
)
A'=1+
v.+.
'v'-"-H"""'""""HH"
(4k)
'
B'=Q+lv+)e"""'-'-''"'"""'""H"H"(41)
B'=a+lv.)fi--"H:H'-'"''""--H"H''"(4m)
The
hysteresis
expressionfifor
poly-Iinear
model andKato-Akiyama's
modet canbe
formed
similarly
on
the
basis
of
the
general
form
(2)
althoughthey
take
somewhatdifferent
forms
from
expression(2>,
'
3.
Smoothing
of
P.W.L
Hysteretic
Structural
Model
As
vve can see clearly,the
nondimensionaldifferentiaL
expression(
2
)
ofthe
hysteresi's
2for
the
p.
w.1.
hysteretic
structural model
invo!ves
the
U-step
functions
andtherefore
exhibits singularity atz==
±1.
As
mentionedabove,
this
singularity ofthe
hysteresis
expression resultsin
ratherpoor
accuracyto
the
direct
application ofthe
Utku's
linearization
technique
to
the
system.Consequently,
in
orderto
applythe
linearization
techniqde
it
maybe
quite
reasonableto
search
for
a
smooth
hysteretic
system
whichis
essentially eq'uivalentto
the
p.
w.1.
hystevetic
system.By
term
"equivalent"here
we meanthat
that
the
smoothhysteretic
systemhas
similarhysteretic
characteristics withthe
originalp.w.1.
hysteretic
system and meanwhile almost・thg samepTobability
information
aboutthe
variables
that
are concerned canbe
ddrived
after smoothing as well,This
aim canbe
achieved asfollows.
Approximate
the
U-step
functions
U<th)
andU(z-1)
througH
'
u(dr)-Sa+sgn
th)==
(
o.so
i
/:'
=><oO
o
---・・・-・-
I・--・・-・-・---・-・・-・-・--・-・---・---
{sa
)
u(2-1)=elzl"(l+sgn
z}
<l21$1)
for
apositive
n---・--・--・---・--・・---(5b)-60-Architectural Institute of Japan
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ArchitecturalInstitute ofJapan
Therefore
the
U-step
functions
U(th}
andU(2-1)
become
continuous andhave
no
singularity
any
longer.
Expression
(5b)
holds
sincethere
existsthe
property
lzlsl,
as maybe
derived
from
expression(2).
The
smoothnessof
U(z-1)
is
controlledby
n,-
as shownin
Fig.1.
Similarly,
rewriteU(-th)
andU{-z-1)
approximately
into
:
1
tl
th<o
U(-ab)==2(1-sgn
th)=
t
O.5
dr=O-,",H-.・-"--."-"-""-,"---,・-,-・"-.---・---(5C)
NO
dr>o
1.e
Z,5
z.z
U(z-1)
z2
1
t
n=ls'--V:::;--.7i--i,"i4,:
n.m-.r)(H-"7Cl1
lr'1
IJ/x
2x
o
-1
tFig.1
Z
l
smoethness ofU{z-1>Fig.2
z2
1
0
-1
-2
-3Fig.5a
z2
smoothness ofhysteresis-2
-1
O
t
2
origin-oriented modelx
-2--3
-2
-1
Fig.3a
z2CM
012
3x
bilinear
model'CM3x
'z2
1
o
-1
z21
o
-1 n=3-2
CM
-3
-2
-1
O
1
2
3x
Fig.4a
Takeda's
model1
n=5o
-l
1
o
-!-2
-3Fig.5b-2
-1smoeth
O
1
2
origin-orientedCM3xmodel
-2-3
-2Fig.3b
-:
O123X
CM
smoethbilinear
modelCM
-1
O12
3x
peak-ofiented
modelZ2
r
o
-1
-2
-3
-2
Fig,6a
z2
1
o
-t-2
n=5CM
O12
3X
peak-oTiented model-2
n=3-3
--2
-1
Fig.4b
smoothz2
-3Fig.6b-2
-1smooth
!
o
-1
CM
Dt2
3x
Takeda's
modelCM
-2
-3
-2
-1
O
1
2
3X
Fig.7a
Clough's
modelz2
:
o
-1
-2
n=3-3
-2
-1
O
Fig,7b
smooth12Clough's
3
model-61-CMx
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u(-2-O=Slzl"(1-sgn2}
(kl'$O
f6r
apositive
n-・・・-・・-・・・-・・-・・・-・・・・・・・・・・・・・・-・・・-・・--・--・・・・・・・-(sd)
As
a result,by
inserting
the
approximations(5
a-d)into
(2
),
wecan
sinooth
the
differential
expression
(2)
into':
'
2;A[th-O.slzl"th-O.slthlz121"'i]
for
apositive
n・-・・-・・・----・-・-・---・・・-・・-・・--i-・-・・-・-・{6)
Clearly,
expression(6>
is
continuous and, atthe
sametime,
smooth,i.e.
mathematicallyhaving
continuousdifferentiations
with respectto'th
andz,
The
smoothedhysteresis
coefficientA
canbe
obtainedfrom
A
by
makinguse
of
the
above smoothingtechnique.
It
is
veryinteresting
to
noticethat
the
smeotheddifferentia}
expression
(
6
)
has
almost
the
sameform
withthe
Y.K.
Wen
hysteretic
expression whichis
described
by
2=
icth-fllz["th-71thlzlzl"-i
for
aninteger
n・・・・-・・-・・-・・・-・・・--・・・-・・・・・-・・・・-・・・・・・・・・・・・・・・-・--・・-・・-・<7)
where
k,
fi,
r
and nare
the
parameters.
A$
in
the
Y.
K.
Wen
model{7),the
effect ofn
in
expression(6)
is
to
control
the
transition
smoothness
between
the
elastic
response
andthe
plastic
response and canbe
illustrated
by
the
t
t
virgin
loading
curvesfor
the
bilinear
model(AttA=1),
as shownin
Fig.2.
Theoretically
whenn.co,
the
smoothed
hysteretic
modelbecomes
the
originalp.
w.1.
hy$teretic
model.Some
illustrations
ofthe
smoothing aregiven
in
Figs,
3-7.
.
We
should noticethat
parameter
n
be
so cljosenthat
it
is
large
enoughto
give
the
sameprobabilistic
information
about whatis
cohcerned after smoothing and meanwhileit
is
kepl
small enoughto
applythe
Utku"s
linearization
technique.
In
this
paper,
parameter
n
is
selectedby
the
criterion
whichdescribes
that
the
hysteretic
system smoothedwith
enough
small
n
and
the
original
p,
w.
1,
system
dissipate
almost
the
same
amount
of
hysteretic
energy
during
one
cycle
of a stationary excitationf<t}i[psintot
nearly atthe
responselevel
D=
3,
i.e.
max
displ.
x..,
D=
yield
displ,
=
1
=Xrmax=i3''"''"H-'-H-"''''"-"''"-H-"'""''"'""""''"'""-"-'-"'<s)
4.
Evaluation
efCovariance
Response
Matrix
t
t
Without
loss
ofgenerality,
considerthe
response analysis of a single-degree-of-freedomp.w.1.
hysteretic
structural system, with
the
following
nondimensional equations of motion:
X+2ht+ax'+(1-a>z==f{t)・-L・・・・・・・・-・・・・・・・・・・・・・・r・--・・-・・-・''・・・・''''''"'''''''''''-':''''"'''''''-''"''"(9a)
2==Adi[1-U{dr)U{z-1}-U(-th)U(-z-1)]・・・-・・・・-・-・・・-・・・・-・・・・・・・-・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・--・--・・・(9b)
'
where
h
is
the
viscousdamping
ratio,As
described
above, expression{2) assumesthe
following
smoothform
:
2==A[dr-o.slzl"th-o.sldrI21zl"'i]---・---・--・---・(6)
=Ag(th,2)--・-I---・---・---・-・-・・・---(6')
Consequently,
we can applythe
Utku's
linearization
technique5}
whichdescribes
asfo!lows,
For
a vibration system/
'
ofthe
form
・'
'
g(Zi,22,23)=f(t)---・--t・・・・・--・・・・・----・-・・--・・・-・-・-・----・-・---・・---・----・・---・(10a)
'
one
has
the
equivalentlinear
system of(loa)
asE
[
aazg,
]zi
+E
[
aazg,
]z!+E
[
aazg,
]zs=f{t)-・・-・---・---・--・-・・----・----.-
---・---ao
b
)
where
E=expected
value.Using
the
abovetechriique,
expression
(
6
)
can
be
rewritten
into
:
2=a(bth+c2)--・・・--・・-・・・・-・・・・・・-・・・・・・--・-・・・-・・・・・・-・'・-・'・・・'-''-H''H''H'''''''''H''''HH'''''''''''''''''''''"{10
The
linear
coefficients a,b
and c aregiven,
respectively,by
a=E[A]---・---・----・---・-・・--・---・:・---・---・--・--(12a)
b=E
[
g\.
]=i-
2"'.2'i
:zll(
:
)r(
icii
)r(
"-2h+i
)
(1
-p:)ki:pn-h.2-2X/
-i
r(
";i
)an.
---t--o2
b
)
c
..E
[
gg
]=
-
n
2"i.'-'
:\,L
(
nIi)r(
kii
)r(
n-2k+i)
a
-pz)kftpn-
ic-i aia!-iTn
2Ytili'i
F(
n;1)p.i.n.-i
H""M,-,"-","-"---・--・---'-'"""H-'"'""""'-"H"H(12C
)
whereh=even--・---・---・---・---H"""'-HH"H"""H"'"H""""""'"'"'-""-H(12d)
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'
E[thz]
'
・
P=
opg.
'''"H'''H'''''''''H'''''''''-'''"'''""'''''''-''-''H'-m'-:''"''"'''''''''"''H''"''-"''"''"''"'''''(12e)
and
r
is
the
gamma
function
defined
by
'
r(x)=X'coe'ttx'idt-・--・-・-・・-・・・・・・・・・-・--・-・-・・・・・--・・l-・・・・L・・-・・・--・--・・・・・--・・-・・・・・・・・・・・・-・・・--・・--・・-・・-・・(12f)
Through
introducing
the
state
variabLe vectorY
withy,=x,
y,==z
andy,=th,
the
equations
of
motion
(9a
)
and{11)
canbe
rewritteninto:
・
'
dY
・
dt=GY+F-"-""-""""-"-''"HHH"H-H--'"-H""'"'"'"H"H"H"v"""H"'"-'---・・--(13)
where'
G=[-i
-(iC.)
i2bh]"'L"-'-""H"H"H'(14a)
'.F=[;t
From
the
linear
random vibrationtheory'S),
the
covariance response matrixS
following
first
differe,ntial
equation
:
d,S,
response vector
V.
B,,=O
(
i,
j=1,
3)
exceptBs3=l{t),
time-dependent
covariance response matrixS
canbe
obtainedby
solving
eqttation
Runge-Kutta
method.5.
Evaluation
of
Maximum
Displacement
Response
The
maximum value ofthe
displacement
responsex(t)
withinthe
time
defined
by
'
v(t)=maxx(r)・・・・・・・・・・・・・-・-・・・・・・・・-・・・・-・・-・・・・・・・・・・--・-(16)
Xs
osrst
as
$hown
in
Fig.8.
u(t)
satisfies
the
following
differential
equa-4
tioni])
o
ij==drU(th)U(x-o)・・・・・・・-・・・-・・-・・・・・・-・・・-・・-・・-・・・-・・・・・・-(17)
--4
Since
lx)sn,
it
canbe
derived
that
for
nio
-8
u(x-n)=u(:l;-i)==ilil"u(x}・---・・・・-・・----{isa)
D
2
Fig.8
1
lxln
=2
rpn
(1+Sgnx)
(by
(5b))
foralarge
lnteger
Subsituting
(18)
into
(・17)
yields
nnij=dru(th)lxl"u(x)
(by
(17a))
=o.2s<irlxl"+lxllxl"+drxlxl""+1thIxitln-i)
(by
(sa)
andIt
is
worthto
mentionthat
expression(18)
meetsthe
initial
condition,
i.e.
expectations
for
the
two
sidesleads
to
Mn+i=(n+1)X't
aeaZ2["-3ii2(・X.
r
(
n;2)+t;
whereE[thx]
P=
(Itaic"'・-・・....-..-..
u=(i-p2}{i+nf!)r(n;i)+2va
7pir(F(n;3
.ni5
p-2
Here
M.
is
the
momentfunctions
ofthe
maximumdisplacement
response,i,e.
Mh=
assumedto
have
joint
Gaussian
density
distribution.
In
solutions
if
the
integer
nis
large
enough.with
'
GS+SGt+B・・・・・・・・-・・-・・・・・・-・・-・・-・・-・-・・・-・・・・・・-・・・-・・--・-・・-・・-t-ny・-・・・・・・・・・・・J・J・J・・・-・・-・--・---・-・{15)
where
t
meansthe
transpose
andB
is
amatrix ofthe
expected values ofthe
products
ofthe
forcing
vectorF
andthe
the
intensity
function
ofthe
excitationf(t),
Therefore,
the
(15)
numeri cally, e,g, with'
interval
[O,
t]
for
a vibration systemis
n-・・・-・・・・-・・・・-・・-・・-・・-・・-・・-・-・-,.-,...
.,""---・---・(14b)
Sw=E[yiys]
satisfies
the
T
468
10
maximum
displacement
.H"H"H.."",-""".""---'--"-H(18b)
(17b))・---(19)
'x=n=O
as welLTaking
the
)
dt・・-・・・-・・-・・・-・・-・・--・・・-・・-・・・-・・・・-・-・・-・・・-・・-・・-・・-・・(20)
'
".".""H"H"",,"""""kHHH"HM"-"---・-・・---・--t---(21a)
)mr(
)3a
p,))""・-・-・---・・-・-(21b)
E[o"]
;
anddi
andx
haye
been
theory
the
approximate
expression(20>
yields
almost exact
Architectural Institute of Japan
NII-Electronic Library Service
ArchitecturalInstitute of Japan
'
6.
Application
andAccuracy
In
the
preceding
sections,the
direct
construction ofthe
covaTiance response matrixand
explicit
expression
of
the
moment
function
ofthe
maximumdisplacement
respensefor
ageneral
p.
w.1.
hysteretic
structural systemhave
been
'
presented
in
detail.
In
this
section,they
willbe
appliedto
the
bilinear
model; andthrough
nurnerical simulationthe
'
accuracy of
the
approach wilibe
examined.6.1
Monte-Carlo
Simulation
The
excitationf(t)
imposed
here
is
aGaussian
white noise withE[f(t)]i=O・・・-・・-・・-・・・・・・・・・・・-・:-(22a)
E[f(t)f(t+T}]=S,a(T)・・・・・・・・・・・・・-・-・・-・・-・・-(22b)
Such
a white noiseis
generated
in
this
study onthe
basis
ofthe
Fast-Fourier
Transform
(FFT).
The
flowchart
shown
in
Tabie
1
describes
roughlythe
generation
of
the
white
noise.
It
is
of
interest
to
note
that
zeromean
ona
veryshort
limited
time
domain
should
notbe
taken.
Otherwise
the
power
of
the
white noiseat
the
infinitesimal
frequency
interval
wc[-E, e]for
any small e willbe
lost
and,therefore,
the
drift
response ofthe
hysteretic
systemtends
to
be
cut
down
greatly.
The
generatednoises
last
10
times
longer
than
the
natural
period
(2
rr)ofthe
hysteretic
system.The
equations
ef
motion
(9a
)
and
<9b)
is
solved
numerically
by
Runge-Kutta
method
in
this
paper.
By
introducing
the
state vectorY
asin
expression(13),
equations(9a)
and{9b)'
canbe
rewritteninto
dd't
==
[
AY3[i-Y[
y,;I
U,(
y,2,-,
I
Y
I,:-,,U.(
I,
!3LU,;;
yt-i)]
]
-e(y・
t)・・--・・・・・・・・・・・・・-・・-・・-・・-・・・・・・・-・・・・・・-・・・(23)
Obviously
equation{23)
is
a
3-dimensional
first-order
differential
equation.
From
the
viewpoint ofphysical
Table1
Flowchart
ofthe
generation
of white nOiseTable2
Related
pararneters
Generatedi
uniform randon variable -ithin
(O,2z)
,
Fam
F(o}
F<de
)-exp(i
di
>
1toIS12
ivF<to)=O
icoll12f
FFTt
At=O.06
x<t)=R(t)+il(t}REAL
f{t>=real{x(t}}
lstandarddeviation
na2r-£ t=1f2(t,} 765a32to n
tsetaf(t)
f<t)=olsetpo
-f{t)=VI2g6f(t}
o2'6
2 power=So caseSoahT case1O.6o.oO.Olt!2-case2O.6O.10.01t12" case3O.4O.5O,Olt!2" case4O.2O.6O,Olt12za3
2
1
o
axL--os a: 246810g(c}
ceEe 2t
Tao2468109(e)
[ase 3 1.2D o.eo O,40 TD.
a e laD 9Ca) case 1 1 ] s246S109(g)
case 4 T 1 o-1
PXI Pgt/ e 1 ot-i
PXE. p"s o T.1 PHt pn P"y o T-1
246e lo a29(b}
case1 9(d}
Fig.9
prepriety
of smoothing466 10 a24ss 10 e
case2 9Cf・) cnse3
(solid
line
:originalbillnear
uuu L,t,)kenline
:
smooth. 2i69(h)
case 4bilinear)
B tDT -64-NII-Electronic MbraryArchitectural Institute of Japan
NII-Electronic Library Service
ArchitecturalInstitute of Japan 765t321o 1 o
-1
-exvitheutsmeethtns'i--i-r.Su.itr-l'.'ii''''t''-.'Ux-.-'JJ''-t-JP-tJJre-"
Og'
.o2d68
10.]O(a)
case 1 o7654321o
3 2l
TD 1 o ax'tt'F
os --02a6s lo 10(c) case 2 21
o T-t 21
o246B ID 10(e) case3
2 T TO OHl
2 1o
o2a6e to10(g)
cese 4 T-l To T-1246B to D2#6e
]O
o2ass ID O246e le10{b) case1 le(d) ca,.2 le(f) case3 10(h} case4
Fig.10
responsehistory
for
bilineaT
rnodel(solid
line:by
M.C.S.
broken
line:by
theory)le
8
6
4
2 64
2
Psl-"---. Ptx T To246s ieT
o246B
ioT
Oo 246e]oT
11
(a)
Z"-rtMgll{b)
'I'ML11
(c)
EI-M,・Fig.11
maximurndisplacement
response(solid
line:by
M.C.S.
broken
Iine:by
theory)
interpretatien,
the
solutions
of
equation(23)
arethe
state variables ofthe
vibration system,i,
e. ,the
displacement,
hysteTesis
and velocity response, andtherefore
they
are continueus althoughe(Y,
t)
is
not smooth.As
a consequence, equation(23)
canbe
solveddirectly
by
Runge-Kutta
method with anydesirable'accuracy.
The
relatedparameters
for
the
case studies aretabulated
in
Table
2
andthe
covariancematrix
ofthe
respense variablesis
evaluatedby
taking
the
sample
average
over100cycles
of oscillation.6,2
Analytical
Solutien
In
referencei7J,the
authors
have
setparametei
n
foT
the
bilinear
modelto
be
equalto
1.
With
n[1,the
originalbilinear
p.w.L,
hysteretic
modelhas
become
much smoother and almostthe
same
probability
information
still remained exceptfor
asystem of verysmall
nonlinearity.In
this
paper,
parameter
n
has
been
chosento
be
3
withthe
criterion
presented
in
section3
andthe
hysteretic
characteristics shownin
Fig.
3a
becorne
much
smoother,
as shownin
Fig.
3b,
The
propriety
ofthe
smoothing approximationis
investigated
by
numerical simulationin
Fig.
9.
From
Fig.
9,
it
is
obviousthat
the
smoothingis
rather
satisfactory
for
small nonlinearity andlarge
nonlinearity as well.It
is
clearfrom
expression(4
a}
that
for
the
bilinear
model wehave
A=1,
hence
Z=:1
andtherefore
a=1
as well.The
equivalentlinear
coefficientsb
and c canbe
obtainedeasily
from
expressions(12
b
)
and(12
b
)
by
substitutingn
with3
and arefound
,te
be
b==1-th
a.3p(3-p:)-ff aZ・・・・・・・・・・-・・・・・・・・・・・・・・--・・-・・・・・・-・・・-・・・・・・・・・・・・・・・-・・-・-・--・-・・・・・・・・・・ny・・・・・・・(24a)c=-th
q.i
ae(1+p2}-3epq.!q}-・--・---・---・・---・-・---・-・----・-・-(24b)
Architectural Institute of Japan
NII-Electronic Library Service
ArchitecturalInstitute of Japan
where
p=
E:lllliX.]
--・・-・・---・・---・--・-・-・-・・--・-・-・-・・-・---・・・----・・--・-・---・-・--・-・--(24
c)
'
Substitutmg
(24
a)
and<24
b
)
into
(14
a)
together
with a==l,the
covariance response matnxS
canbe
obtained numericallyby
solving equation(15).
After
solving
the
covariance
matrixS,
the
momentfunctions
ofthe
maximumdisplacement
responsexma.
canbe
obtainedthrough'expression
(2o).
Some
case studies areperformed
and
the
results are compared against
the
Monte
Carlo
simulation,as
illustrated
in
Fig.10
andFig,11.
7.
Conclusions
,
In
this
paper,
wehave
studied
the
stochastic response analysis ofpiece-wise-linear
hysteretic
structural modelsto
whichthe
direct
application
ofthe
existinglinearization
techniqtte
is
basically
impossible.
A
new
differential
fofmulation
for
the
p,
w,1.
hysteretic
systemshave
been
presented
in
ageneral
fgrm.
First
wehave
deve16ped
apewerful
approachto
smooththe
general
differential
expression ofthe
p.
w.1.
hysteretic
systgms sothat
it
has
become
possible
to
applythe
Utku's
linearization
technique
to
the
system.Meanwhile,
the
propriety
ofthe
smoothing
has
been
verifiedby
the
Monte
Carlo
siinulation.Based
onthe
tsmoothing
technique,
wehave
presented
the
direct
and reliable constructionsof
the
differential
equations
for
the
covariance
response matrix and ofthe
explicitintegral
expressionfor
the
moment
functions
ofthe
maximum
displacement
response.'
Furthermore,
the
present
approach
has
been
appl.iedtg
the
bilinear
structural model concretely.The
accuracy
has
been
investigated
through
numerical simulation,In
summary,the
following
resultshave
been
concluded.
1)
the
present
approachhas
6een
proven
to
produce
Tather accurate and ieliable approximate solutions ofthe
covariance response rpatrix
both
for
small
nonlinearity andfor
large
nonlinearity,2)
the
evaluatien expression(20)
for
the
maximumdisplacement
response seemsto
be
moredepehdable
to
estimate
the
4th
momentfunctions
ofthe
maximum
displacement
resiponse andinStead・tends
to
underestimatethe
higher
onesbut
overestimatethe
lower
ones
for
large
nonlinearity.However,
thig
evaluation cangive
verysatisfactory
expectation valuesof
the
maximumdisplacement
responsefor
smallnonlinearity.
Finally,
asthe
continuing workit
is
planned
to
applythe
present
approachto
otherp.
iy.1,
hysteretic
structural'
models concretely.
''
'
t
tt
Reterences
1)
Caughey,
T,K.,
"Derivation andApplication
ofthe
Fokker-Planck.,Eqgation
toDisc[ete
Nonlinear
Dynamic
Systems
Subjected
toWhite
Noise
Excitation",
JournFI
of the4goustic,al
Society
.of
America,
VoLfi5,
No.ll,
November
pp.]638-1692,
l963.
2)
Asano,
K.,
"StochasticEarthquake
Response
Analysis
efthe
Lumped
Mass
Structural
Systern
withElasto-Plastic
Characteristics",
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ofA.I.J.,
No.247;
September,
pp.75-82,
1976
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Japanese).
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3)
Matsushima,
Y.
,"NonlineaT
Random
Response
of
Single-Degree-of-Fieedom
$ystem
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toWhite
Neise
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No.Z55,
May,
pp.17-23,
1977
{in
Japanese).
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4)
Ishimaru,
S,
,"Stochastic
Seismic
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265,
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71-80,
1978,
5)
AtaLik,
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&
Utku,
S.
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Multi-Dggree-of-Freeq,em
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&
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Dyn.,
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pp.411-420,
1976,
6)
Wen,
Y.K.,
"EquivalentLinearizatiori
fof
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Systems
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Random
Excitation",
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ASCE,
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Marclt,
pp.150-154,
1980.'・
7)
Asano,
K.
&
Iwan,
W,
D.
,"An
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Hysteretic
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Japanese},
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Kobori,
T.,
Minai,
R,
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Yl,
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Suzuki,
Y.
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R.
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of
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Suiuki,
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Wu,
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F.
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Y.
K.
, "Cumulant-NegleetClosure
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UndeT
RandoTn
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pp.349-362,
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Burton,
T,D.
,
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Jahedi,
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, "Applicationof
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Vol.50,
pp.436-442,
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Izumi,
M.
&
Kimuia,
M.
, et al. ,"Response
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1983
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Y.
"RandomResponse
ef
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1987
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67
Architectural Institute of Japan
NII-Electronic Library Service
Arohiteotural エnstitute of Japan