participants of nurmerical benchmark test and misfit criteria for summarizing the results seiji...
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Participants of Nurmerical Benchmark Test and Misfit Criteria
for Summarizing the Results
Participants of Nurmerical Benchmark Test and Misfit Criteria
for Summarizing the Results
Seiji Tsuno (LGIT)Seiji Tsuno (LGIT)
ParticipantsParticipants Method Case Participants
1 1D(+Nonlinear) FS fabian bonilla
2 1D FS pacific engineering
3 2D S1, S2 corinne lacave
4 2D S1, S2, W1, W2 delepine
5 2D FS pacific engineering
6 3F S1, S2, W1, W2 hideo aochi
7 3F S1, S2, W1, W2 moczo
8 3F S1, S2, W1, W2 s1642006
9 3T S1, S2, W1, W2 louie
10 3T FS stupa
11 EM S1, S2 carine sansorny
12 EM S1, FS javier ruiz
13 EM S1, FS mathieu causse
14 2D(Nonlinear) fabian bonilla
15 3T emmanuel chaljub
16 3T martin
17 3F robert graves
FS: at station OGFH (borehole location) for a Mw=6.0 strike-slip event occuring on the Eastern part of the Belledonne Border Fault
OutputOutput
# Waveforms (Acceleration, velocity and displacement)
# Fourier spectra
# Response spectra (Pseudo-velocity response spectra; h=5%)
# Maximum value of acceleration, velocity and displacement
# Misfit criteria (Anderson’s method & Kristekova’s method)
# Spectral ratio (for reference site;OGMU or of bore-hole;OGFB)
# Standard deviation error and RMS misfit in each output.
Misfit criteriaMisfit criteria
# We will evaluate the results estimated by participants, using the misfit criteria proposed by J. Anderson and M. Kristekova.
# Mainly, J. Anderson and M. Kristekova evaluated the performance of the proposed misfit-criteria by horizontal components of observed earthquake records and canonical signals, respectively.
But…# In this numerical benchmark, we can compared many theoretical seismograms estimated by participants with observation.
Quantitative measure of the goodness-of-fit of synthetic seismograms
Proposed by John G. Anderson(13th World Conference on Earthquake Engineering )
Quantitative measure of the goodness-of-fit of synthetic seismograms
Proposed by John G. Anderson(13th World Conference on Earthquake Engineering )
# He calibrated the proposal criterion, using two components of synthetic seismograms with 1000 pairs and observations with 1165 pairs.
# And also, he applied this measurement system to two horizontal components of a single station recording the M8.1 Michoacan earthquake.
# Lastly, this criterion was applied to a blind prediction of ground motions at a station PS10 for comparison of observation with synthetic seismograms.
CriteriaCriteria
Goodness of fit measurements Frequency bands used (Hz)• C1 Arias Duration B1 0.05 – 0.1• C2 Energy Duration B2 0.1 – 0.2• C3 Arias Integral B3 0.2 – 0.5• C4 Energy Integral B4 0.5 – 1.0• C5 Peak Acceleration B5 1.0 – 2.0• C6 Peak Velocity B6 2.0 – 5.0• C7 Peak Displacement B7 5.0 – 10.0• C8 Response Spectra B8 10.0 – 20.0• C9 Fourier Spectra B 20.0 – 50.0• C10 Cross Correlation B10 0.05 – 50.0
The similarity score (S1) is averaged by all fit criterion.
Example (application)Example (application)
Time (sec)
Acc
. (c
m/s
ec2 ) NS
0 20 40 60 80 100-400
-200
0
200
400
Time (sec)
Acc
. (c
m/s
ec2 ) EW
0 20 40 60 80 100-400
-200
0
200
400
Fig. Acceleration records of NS and EW components at PS10
PS10
Fig. Fourier spectra for acceleration records at
PS10
Fou
rier
sp
ectr
a
Frequency (Hz)
NS EW
0.1 1 101
10
100
1000
Where PS10 is 3km from the fault In the M7.9 Denali Fault, Alaska, earthquake of Nov. 3, 2002.
Individual scores -1Individual scores -1
Frequency Band (B1-10)
C1
Sim
ilarit
y sc
ore
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C2
Sim
ilarit
y sc
ore
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C3
Sim
ilarit
y sc
ore
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C4
Sim
ilarit
y sc
ore
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C5
Sim
ilari
ty s
core
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C6S
imila
rity
scor
e
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Individual scores -2Individual scores -2
Frequency Band (B1-10)
C7S
imila
rity
sco
re
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C8
Sim
ilari
ty s
core
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C9
Sim
ilarit
y sc
ore
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
C10
Sim
ilarit
y sc
ore
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Similarity scoreSimilarity score
Frequency Band (B1-10)
S2
Sim
ilari
ty s
core
0 1 2 3 4 5 6 7 8 9 10 11
123456789
10
Frequency Band (B1-10)
Bias
Bia
s
0 1 2 3 4 5 6 7 8 9 10 11-2
-1
0
1
2
S1 = 6.9811296
Definition of familiar functionDefinition of familiar function
min(p1, p2) = 100 min(p1, p2) = 50 min(p1, p2) = 25
(p1-p2)
S(p
1, p
2)
S(p1,p2) = 10exp{-[(p1-p2)/min(p1,p2)]**2}
0 40 80 120 160 200
1
2
3
4
5
6
7
8
9
10
(p1-p2)/min(p1,p2)
S(p
1,
p2
)
(0.47,8.01797)
(1.27,1.99309)
0 0.5 1 1.5 2 2.5 3
1
2
3
4
5
6
7
8
9
10
Fig. Definitions of function related to similarity score
Fig. Definitions of function related to similarity score (normalized)
Misfit criteria for quantitative comparison of seismograms
Proposed by Miriam Kristekova. et al.(Submitted to BSSA, January 2006)
Misfit criteria for quantitative comparison of seismograms
Proposed by Miriam Kristekova. et al.(Submitted to BSSA, January 2006)
# The proposal criteria are based on the time-frequency representation (TFR) of the seismograms obtained as the continuous wavelet transform (CWT) with the analyzing Morlet wavelet.
# They tested properties of the misfit criteria using canonical signals, which were specifically amplitude, phase-shift, time-shift, and frequency modified.
# And also, they calculated the misfit criteria for four different numerical solutions for a single layer over half-space (the SCEC LOH.3 Problem) and the reference FK (frequency-wavenumber) solution.
CriteriaCriteria
Misfit CriteriaTFEM - Time-frequency envelope misfitTFPM - Time-frequency phase misfitTEM - Time-dependent envelope misfitTPM - Time-dependent phase misfitFEM - Frequency-dependent envelope misfitFPM - Frequency-dependent phase misfitEM - Single-valued envelope misfitPM - Single-valued phase misfit
The single-value about EM, PM is obtained.
Exemple (application) -reproducedExemple (application) -reproduced
Time (sec)
Acc
. (c
m/s
ec2 ) NS
0 20 40 60 80 100-400
-200
0
200
400
Time (sec)
Acc
. (c
m/s
ec2 ) EW
0 20 40 60 80 100-400
-200
0
200
400
Fig. Acceleration records of NS and EW components at PS10
PS10
Fig. Fourier spectra for acceleration records at
PS10
Fou
rier
sp
ectr
a
Frequency (Hz)
NS EW
0.1 1 101
10
100
1000
PS10 where is 3km from the fault In the M7.9 Denali Fault, Alaska, earthquake of Nov. 3, 2002.
Continuous wavelet transform (CWT)
Continuous wavelet transform (CWT)
Time (sec)
Acc
. (c
m/s
ec2 ) NS
0 20 40 60 80-400
-200
0
200
400
5sec shifted early in each result
Misfit Criteria -1Misfit Criteria -1
TFEM - Time-frequency envelope misfit
TFPM - Time-frequency phase misfit
Misfit Criteria -2Misfit Criteria -2
Time (sec)
Pe
r.
TEM
PS10
0 20 40 60 80-100-80-60-40-20
020406080
100
Time (sec)
Pe
r.
TPM
PS10
0 20 40 60 80-100-80-60-40-20
020406080
100
Frequency (Hz)
Pe
r.
FEM
PS10
0.1 1 10-100-80-60-40-20
020406080
100
Frequency (Hz)
Pe
r.FPM
PS10
0.1 1 10-100-80-60-40-20
020406080
100
Time-dependent envelope misfit
Time-dependent phase misfit
Frequency-dependent envelope misfit
Frequency-dependent phase misfit
Misfit scoreMisfit score
EM PM RMS70.9535 46.1713 133.382
STATION CODE EM PM RMS PS09-Alaska 63.7143 61.6312 143.93608 PS10-Alaska 70.9535 46.1713 133.38204 PS11-Alaska 64.3263 63.8550 145.66619 FA02-Alaska 73.9071 57.9291 165.12640
STATION CODE SIMILARITY SCORE(S1) M PS09-Alaska 7.1210961 7.9 PS10-Alaska 6.9811296 7.9 PS11-Alaska 7.1379919 7.9 FA02-Alaska 6.4276643 7.9