using borehole data for ground motion prediction ......conclusions zsource: • borehole data...
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CSNI Workshop – November 15-19, 2004 - Tsukuba, Japan
Using Borehole Data for Ground Motion Prediction:
Separating Source, Path, and Site Effects
Jamison Steidl, Dominic Assimaki, Kenichi Tsuda, and Ralph Archuleta
University of California at Santa Barbara, USA
Ground Motion Deconvolution
Estimation of Source and Path Parameters Using Borehole Data
2003 Miyagi-okiEarthquake SequenceKik-Net Borehole Stations28 Aftershocks M3-5 range used
Source and Path Inversion19 Kik-Net Borehole StationsStation Selection• Mainshock PGA ≥ 300 Gal• 19 Kik-net, 16 K-net Stations• Site Response after Source
InversionData Selection (S-wave portion)• 10-sec: Aftershocks • 20-sec: Mainshock
Source/Path Inversion: Method
Observed Spectrum (i-th event at j-th station):
*Source Spectrum (Boatwright 1978, Brune 1970)
*Attenuation Factor (Frequency Dependent)
Unknown Parameters
1( ) ( ) exp( ) ( )( )
iji j
s
fRO f S f R G f
Q f Vπ−= −
γfQo ⋅=Q(f)
γ,,, QofcMo
i4
i
2
i Mo)fc
f(1
)f2()Const()f(S+
π=
Source/Path Simultaneous Inversion1) Iterative Determination of Path (using 6 reference events)
2) Determination of Source (using all individual events)
Residual converges
Moγ,,Qofc
Residuals from Inversion= Borehole Response
Solve for
Solve for
Solve for fcMo, fixed are,γQo
Attenuation & corner fixed (0.5 - 1.0 Hz)
Moment fixed (0.5 – 20 Hz)
Inversion Results: Source
Inversion Results: Path Attenuation Model (Quality Factor)
Result0.74Q(f) 116f=
Borehole Residuals after fitting spectrum at 19 borehole stations
Ground Motion Deconvolution
Site
Site Response Results
19 Kik-Net Stations
Standard Surface/Borehole Spectral Ratio vs. Surface/Predicted Spectrum
Near Surface Attenuation Properties and Soil Behavior
Near-surface soil attenuation inversion using borehole array data from Garner Valley, California.Hybrid global/local inversion of shear-wave velocity profile, attenuation profile, and density using borehole data from Kik-Net and SCEC.Nonlinear effects at Kik-Net stations
Garner Valley (GVDA)NRC Sponsored Research Facility
Location in high seismicity region of Southern California
Garner Valley Instrumentation
Attenuation Analysis: Inversion Results at Garner ValleyFrequency dependent (red) and independent (black) attenuation with depth.
Array Simulation at Garner ValleyFrequency Dependent Q inversion
New NSF funded SFSI monitoring Project at Garner Valley
Future Analysis at GVDA
Simulation from Bedrock borehole motion to structural response, incorporating SFSI effects.
Garner Valley SFSI Test Facility
Ancestral Lake Bed – Soft Sediments (~20 m) over weathered granite (~70 m) and crystalline granite.
Uni-axial Accelerometer
Tri-axial Accelerometer
Rotation Sensor
Pressure Cell and Sensor Displacement Transducer
SFSI Monitoring at Garner Valley
: Natural Earthquake
Native Soil
Water Table 0-3 mPore Pressure
Accelerometer
F1
F2
F3
5m
5m
F2 : NEES@UCLA Shaker
F3 : NEES@UTexas Shaker
F1 : Permanent Shaker
Iterative Hybrid Inversion
Forward Model• Haskell-Thompson method using SH motion in
borehole as input to starting soil model.Iterative Inversion for Vs, Q, & Rho• Global (Genetic)
• Cross correlation between synthetic and observed motion in wavelet (time) domain
• Local (non-linear least squares)• Non-linear least-squares fit to empirical transfer
function in frequency domain.
0 1 2 3 4 5 6 7 8 9 10-15
-10
-5
0
5
10
15
Accelaration [gals]
Tria l Synthe t icRe cording
0 1 2 3 4 5 6 7 8 9 10-4
-2
0
2
4
Re cordingTria l Synthe t ic
0 1 2 3 4 5 6 7 8 9 10-10
-5
0
5
10
0 1 2 3 4 5 6 7 8 9 10-1
-0 .5
0
0 .5
1
0 1 2 3 4 5 6 7 8 9 10-0 .0 1
-0 .0 0 5
0
0 .0 0 5
0
0 .0 1
t [s e c]
Acceleration [gals]
Kik-Net Station IWTH04
Starting velocity model from Kik-Net web site
0 1000 2000 3000
0
10
20
30
40
50
60
70
80
90
100
110
Shear Wave Velocity [m/ s]
Dphm
Best fit model
Initial vector
0 0.1 0.2
0
10
20
30
40
50
60
70
80
90
100
110
Attenuat ion [1/ Q]
1 2 3 4
0
10
20
30
40
50
60
70
80
90
100
110
Density [kg/ cm 3]
Kik-Net Station IWTH04
0 5 10 15 2 0
250
5 0 0
750
10 0 0
125 0
150 0
1750FFT (Surface Re cording)FFT (Tria l S ynt he t ic )FFT (Bore hole Re coding)
0 5 10 15 200
10
20
3 0
4 0
5 0
f [Hz]
Surface/Borehole transfer function
The ore t ica l us ing t rial ve c t orEmpirica l s it e amplifica t ion
2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 0-3 0
-20
-10
0
10
2 0
3 0
Acceleration [gals]
Surface re cordingSynt he t ic (Input @ -10 9 m)
2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 0-3 0
-20
-10
0
10
2 0
3 0Abs olut e bore hole re cording (-10 9 m)
2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 0-3
-2
-1
0
1
2
3
t [s e c]
Re la t ive bore hole re cording (-10 9 m)
Simulated and Observed:Ground Motion Details (top) Average Site Response (bottom)
22 22.5 23 23.5 24 24.5 25-40
-20
0
20
40
T i [ ]
Acceleration[gals]
Surface Observa t ionBest Fit Model
Opt imiza t ion 2.0s window
2 4 6 8 10 12 140
10
20
30
F [H ]
Surface/Borehole transfer function Best Fit Model
Average linear sit e response from 28 events (10s)
Example 2: SCEC Borehole Data
Long Beach Water District (LBW)
SCEC Borehole Site LBWSoil Property Inversion Results
Input at 350 meters depthComparison of empirical vs. simulated surface motion and site response.
MainshockAnalysis
0 5 10 150
5
10
15
20
25
3 0
f [Hz]
FT (Surface) / FT (-109m)
Empirica l NL tra ns fe r func t ion ( -10 9 m)The ore t ica l us ing "be s t fit " e q. line ar mode lEmpirica l line a r tra nsfe r funct ion (-10 9 m)
Frequency (Hz)
Time (s)
2 0 2 5 3 0 3 5-10 0 0
-50 0
0
5 0 0
10 0 0
Acceleration [gals]
Synt het ic (Input @ -10 9 m)Surface Re cording
2 0 2 5 3 0 3 5-10 0 0
-50 0
0
5 0 0
10 0 0
Absolut e bore hole recording (-10 9m)
2 0 2 5 3 0 3 5
-10 0
0
10 0
t [s e c]
Relat ive bore hole recording (-10 9m)
Acceleration [gals]
Acceleration [gals]
Mainshock – Nonlinear Behavior
22 23 24 25 26 27 28 29 30-1000
0
1000
Surface Recording
SHAKEAcceleration [gals]
22 23 24 25 26 27 28 29 30-1000
0
1000
[ ]
Surface Recording
Eq. Linear w/ G/ Gmax(f),Q(f)Acceleration [gals]
0 5 10 150
5
10
15
20
25
3 0
f [Hz]
FT (Surface) / FT (-109m)
Nonline ar s it e re s ponseElas t ic s it e re spons eEq Line ar w/ G/Gmax(f) , Q( f)SHAKE
Frequency (Hz)Time (seconds)
Mainshock – Nonlinear Simulation
1-D wave seismic Wave propagation(Bonilla, 2000)Total Stress Analysis
(no pore pressure build up)
Conclusions
Source:• Borehole data provide a clearer picture of the
earthquake source.Path:• Borehole data is useful for examining crustal
attenuation models.Site:• Borehole arrays are useful for improving simulation
techniques for ground motion modeling of local soil conditions.
• Borehole data provides critical observations for modeling dynamic soil behavior at large strain.