Civil Engineering Reference
In-Depth Information
1
1
All arrays
CHY
1
2
3
TCU
0.8
0.8
TA P
ILA
Chi-Chi
earthquake
0.6
0.6
0.4
0.4
0.2
0.2
0
0
0 0 0 0
Delta, km
40
50
0 0 0 0
Delta, km
40
50
(a)
(b)
3.2
Within-earthquake correlation functions
ρ
ε
(
Δ
) estimated for
particular earthquakes. (a) The 1999 Chi-Chi earthquake, 1 - Wang and
Takada (2005); 2 - Goda and Hong (2008a); 3 - Sokolov
et al.
(2010).
(b) The data from moderate-to-large earthquakes (
M
W
>
6.0) in Taiwan
(Sokolov
et al.
, 2010), estimations for particular strong-motion arrays
in Taiwan. CHY array - thick sediments; TCU array - stiff soils in
extended hilly areas; TAP array - triangular asymmetric alluvium-fi lled
Taipei basin; ILA array - Quaternary alluvial Ilan basin.
models developed for Japan and the maximum value of horizontal peak
velocity amplitudes (PGV) was considered by Wang and Takada (2005). The
NGA model based on worldwide data (Boore and Atkinson, 2008) and
average horizontal acceleration was used by Goda and Hong (2008a).
Sokolov
et al.
(2010, 2012) considered the geometric averages of two hori-
zontal peak amplitudes and the regional strong-motion prediction equation
for peak ground acceleration.
It has been shown that the difference relates to the frequency content of
ground motion (Goda and Hong, 2008a; Baker and Jayaram, 2008). On the
other hand, the difference may be caused by regional peculiarities (Goda
and Atkinson, 2009). Analysis of the within-earthquake correlation in
Taiwan (Sokolov
et al.
, 2010, 2012) indicates that the correlation structure
is highly dependent on local geology and on peculiarities of propagation
path (azimuth-dependent attenuation). Application of region- or site-
dependent correction reduces the within-earthquake correlation, especially
at large distances.
Figure 3.2b shows several models of within-earthquake correlation esti-
mated by Sokolov
et al.
(2010) using a dataset from the 13 moderate-to-
large (
M
W
>
6.0) earthquakes in Taiwan separately for several arrays of the
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