Civil Engineering Reference
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μ
=
μ
+
σ
ρ
ε
[4.3]
ln
IM Rup IM
,
ln
IM Rup
ln
IM Rup
ln
IM
ln
IM
,ln
IM
Rup
i
j
i
i
j
i
j
σ
=
σ
1
−
ρ
2
[4.4]
ln
IM Rup IM
,
ln
IM Rup
ln
IM
,ln
IM
Rup
i
j
i
i
j
σ
ln
IM
i
|
Rup
are the mean and standard deviation of ln
IM
i
for a given rupture, which are commonly obtained from ground motion
prediction equations (GMPEs) (e.g. Boore and Atkinson, 2008);
where
μ
ln
IM
i
|
Rup
and
ρ
ln
IM
i
,ln
IM
j
|
Rup
is the correlation coeffi cient between ln
IM
i
and ln
IM
j
for a given earth-
quake rupture, commonly provided by empirical correlation equations
(e.g. Baker and Jayaram, 2008; Bradley, 2011c); and the parameter,
ε
ln
IM
j
, is
given by:
ln
IM
−
μ
j
ln
IM
Rup
j
ε
=
[4.5]
ln
IM
j
σ
ln
IM
Rup
j
Equations (4.1)-(4.5) provide the necessary mathematical details to
compute the conditional marginal distribution of
IM
i
given
IM
j
im
j
for all
IM
i
in
IM
. The multivariate distribution of
IM
|
Rup
,
IM
j
can therefore be
uniquely defi ned by mean and standard deviation vectors of length,
μ
ln
IM
|
Rup
,
IM
j
and
=
ρ
ln
IM
|
Rup
,
IM
j
(Johnson and Wichern, 2007). The
i
th element of the mean and standard
deviation vectors are given by Equations (4.3) and (4.4). Specifi cally:
σ
ln
IM
|
Rup
,
IM
j
, respectively; and a correlation matrix,
()
=
()
=
m
s
i
i
μ
σ
ln
IM
Rup IM
,
ln
IM Rup IM
,
j
i
j
[4.6]
ln
IM
Rup IM
,
ln
IM Rup IM
,
j
i
j
and the
i
th row,
k
th column element of the correlation matrix is given by
(Johnson and Wichern, 2007):
ρρρ
ρ
−
ik
ij
kj
(
)
=
r
ln
IM
Rup IM
j
ik
,
[4.7]
,
1
−
2
1
−
ρ
2
ij
kj
where
ρ
ln
IM
i
,ln
IM
k
|
Rup
is shorthand notation for the correlation between
ln
IM
i
and ln
IM
k
for a given rupture,
Rup
, which can be obtained from
empirical correlation equations (discussed subsequently). Equations (4.3)-
(4.7) provide suffi cient information to uniquely characterise the multivari-
ate distribution
IM
|
Rup
,
IM
j
(Johnson and Wichern, 2007).
It is worth noting that in the particular case in which: (i) only a single
causal earthquake is considered; (ii) only spectral accelerations are consid-
ered in the vector,
IM
, and the conditioning intensity measure,
IM
j
; and (iii)
only the conditional mean, rather than the conditional distribution is con-
sidered; the above approach is equivalent to the 'conditional mean spectra'
approach proposed initially by Baker and Cornell (2006) and subsequently
discussed by Baker (2011).
ρ
ik
=
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