Civil Engineering Reference
In-Depth Information
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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