earthquake dynamics and the prediction of strong ground...
TRANSCRIPT
![Page 1: EARTHQUAKE DYNAMICS and the PREDICTION of STRONG GROUND MOTIONtcs.ah-epos.eu/eprints/203/1/K1madariaga.pdf · 2015. 2. 17. · the PREDICTION of STRONG GROUND MOTION Raoul Madariaga](https://reader034.vdocuments.site/reader034/viewer/2022052100/603965530ad74049ad410f14/html5/thumbnails/1.jpg)
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EARTHQUAKE DYNAMICS and
the PREDICTION of STRONG GROUND MOTION
Raoul MadariagaLaboratoire de Géologie
Ecole Normale SupérieureParis
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.BB Seismic waves
Hifi Seismicwaves
Different scales in earthquake dynamics
Macroscale
Mesoscale
MicroscaleSteady state mechanicsvr
(< 0.3 Hz λ> 5 km)
(>0.5 Hz λ<2 km)
(non-radiative)(λ< 100 m)
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Kinematic modeling
1. Elastic model + attenuation
2.. Dislocation model
3.. Modeling program (and, of course a BIG computer)
4.. Seismic data
Slip model
Rupture process
Parkfield 2004
(after Liu et al 2006)
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Macromodels for very large earthquakes
Terashake 2.1
(Olsen, et al 2006)
San Francisco 1906
(Aagaard et al, 2006)
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Modelling the classical Haskell model
parallel component transverse component
Staggered
Grid FD
dx=100 m
600x600x200R
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Surface velocities for Haskell modelparallel transverse
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Peak ground velocities for a Haskell-like model
Transverse component
Parallel component
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Wave propagation around and on a fault
Parkfield 2004
Kinematic model by Liu, Custodio andArchuleta (2006)
Modeling by Finite DifferencesStaggered gridThin B.C.
Full 4th order in spaceNo dampingdx=100m dt=0.01 HzComputed up to 3 Hz
Few hours in intel linux cluster
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0 5 10 15 20 25-5
0
5
GH2E
Vp (cm/sec)
Observed
Synthetic
0 5 10 15 20 25-2
0
2
Vn (cm/sec)
0 5 10 15 20 25-2
0
2
Vz (cm/sec)
0 5 10 15 20 25-5
0
5
GH3E
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-1
0
1
0 5 10 15 20 25-5
0
5
GH1W
0 5 10 15 20 25-5
0
5
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-10
0
10
GH2W
0 5 10 15 20 25-5
0
5
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-10
0
10
GH3W
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-5
0
5
GH4W
0 5 10 15 20 25-5
0
5
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-5
0
5
GH5W
0 5 10 15 20 25-5
0
5
0 5 10 15 20 25-2
0
2
0 5 10 15 20 25-5
0
5
GH6W
time (sec)
0 5 10 15 20 25-1
0
1
time (sec)
0 5 10 15 20 25-2
0
2
time (sec)
Parkfield 2004
Data high pass filtered to 1 Hz.
Synthetics computed For the slip model ofLiu et al up to 3HzOn a 100 m grid
Structure from Chen Ji 2005
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A very simplified version of Liu et al (2006) model
After K. Sesetyan, E. Durukal, R. Madariaga and M. Erdik
Full 3D velocity model
65 km65 km
up to 60 km
Resolution power up to 3 Hz
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Surface velocities for Parkfield model
parallel transverse
Apparent supershear shockDue to low shear wave speeds
Near surface
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Kinematic model of Parkfield-like earthquake
Apparent supershear shock
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The role of surface waves
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Peak ground velocities for a Parkfield-like model
transverse component
longitudinal component
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Earthquake dynamics
Slip is due to stressrelaxation
under the control of friction
Slip evolution is controlledby geometry
andstress relaxation
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Circular crack dynamics
Starts fromInitial patch
Longitudinal stopping phase
Transversestopping phase
Stopping phase (S wave)
Slip rate Slip Stress change
Fully spontaneousrupture propagation
underslip weakening friction
Stress drop
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P st.phase Rayleigh
S
Slip rate Slip
Rupture process for a circular crack
The rupture process is controlled by wave propagation!
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Far field radiation from circular crack
SpectrumDisplacement pulse
4s
0.25 Hz
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Example from Northern Chile Tarapacá earthquakeIquique
From Peyrat et al, 2006
13 June 2005
M=7.8
Mo = 5x1020 Nm
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2003 Tarapaca earthquake recorded by the IQUI accelerometer
Thanks to Rubén Boroschev U de Chile
IQUI displacement
IQUI ground velocity
IQUI energy flux
What are them?
Accelerogram filteredfrom 0.01 to 1 Hz
and integrated
Stopping phase
0 4020
10cm/s
18cm
60
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Spectrum of Tarapaca earthquake
disp
lace
men
t spe
ctra
l am
plitu
de
ω-2 slope
20s
0.2
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o Seismic data has increased dramatically in quality and number.
o Opens the way to better kinematic and dynamic models
o Earthquake Modeling has become a well developed research field
o There are a number of very fundamental problems that need careful study (geometry, slip distribution, etc)
o Main remining problem: non-linear dynamic inversion
CONCLUSIONS
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No surface rupture observationMw 6.6~6.8Pure left-lateral strike slip eventHypocentral depth poorly constrained
Tottori accelerogramshave absolute time
Hypocentre determineddirectly from raw records
The 2000 Western Tottori earthquake
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Kinematic inversion of Tottori earthquake
Small slip around the hypocentre
Slip increases towards the uppernorthern edge of the fault
Velocity W aveform s
EW component
T05
S02 OK015T07OK05
OK04
S15
S03
T06T08
T09
Good fit at nearfield stations(misfit=3.4 L2)
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Computational grid
Inversion grid
The main problem with dynamic inversion
Inversion grid has about 30 elements (degrees of freedom)
Computational grid has > 1000 elements
This method was used by Peyrat and Olsen
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Inversion of a simple geometrical initial stress field and/or friction laws
Based on an idea by Vallée et Bouchon (2003)
An ellipse has only 7 independentDegrees of freedom
Finite difference grid is independentof inverted object
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The initial stress field
Rupture is forced to startfrom an asperity located at18 km in depth
Then we modify theelliptical slip distributionuntil the rupture propagatesand the seismograms arefitted
Slip rate Slip Stress chang e
Dynamic modelling of Tottori
t= 2 s
t= 4 s
t= 6 s
t= 8 s
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Main Results
Velocity waveforms fit observations less well than thekinematic model. For each station both amplitude and arrival phases
match satisfactorily
T05
S04OK015
T07
OK05
OK04
S15
S03
T06T08
T09
Velocity Waveform fitting for EW component
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Influence of different rupturepatches
S15
T09
Final slip distribution
NS component
NS component
The stopping phase (red)exerts the primary controlon the waveform
realsynth
realsynth
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OutlookTwo approaches to study the propagation of the Tottori earthquake:
The non linear kinematic inversion gives a very good wavefitscontrolled by a diagonal stopping phase.
The dynamic rupture inversion allows to fit very well bothamplitude and arrival phases. The horizontal stopping phasecontrols the waveforms.
A dynamic inversion with a slip distribution controlled by 2elliptical patches is in progress.
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Example of velocity dataprocessing
Time measured w/r to origin time
P
S
Data integrated and filtered between 0.1 - 5 Hz
We relocate the hypocentre close to 14 km depth