scholarly journals Several Hundred Finite Element Analyses of an Inversion of Earthquake Fault Slip Distribution using a High-fidelity Model of the Crustal Structure

2014 ◽  
Vol 29 ◽  
pp. 877-887 ◽  
Author(s):  
Ryoichiro Agata ◽  
Tsuyoshi Ichimura ◽  
Kazuro Hirahara ◽  
Mamoru Hyodo ◽  
Takane Hori ◽  
...  
Keyword(s):  
Finite Element ◽  
Crustal Structure ◽  
Fault Slip ◽  
Slip Distribution ◽  
High Fidelity ◽  
Finite Element Analyses ◽  
Earthquake Fault ◽  
Fault Slip Distribution ◽  
Fidelity Model

Robust and portable capacity computing method for many finite element analyses of a high-fidelity crustal structure model aimed for coseismic slip estimation

2016 ◽  
Vol 94 ◽  
pp. 121-130 ◽  
Author(s):  
Ryoichiro Agata ◽  
Tsuyoshi Ichimura ◽  
Kazuro Hirahara ◽  
Mamoru Hyodo ◽  
Takane Hori ◽  
...  
Keyword(s):  
Finite Element ◽  
Crustal Structure ◽  
High Fidelity ◽  
Structure Model ◽  
Finite Element Analyses ◽  
Coseismic Slip ◽  
Computing Method

FAULT SLIP DISTRIBUTION ALONG THE SOUTHERN 15 KM OF THE M7.1 RIDGECREST EARTHQUAKE SURFACE RUPTURE

2020 ◽  
Author(s):  
Sinan O. Akciz ◽  
◽  
Salena Padilla ◽  
James F. Dolan ◽  
Alex E. Hatem
Keyword(s):  
Fault Slip ◽  
Slip Distribution ◽  
Surface Rupture ◽  
Fault Slip Distribution

scholarly journals Coseismic fault-slip distribution of the 2019 Ridgecrest Mw6.4 and Mw7.1 earthquakes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yang Gao ◽  
HuRong Duan ◽  
YongZhi Zhang ◽  
JiaYing Chen ◽  
HeTing Jian ◽  
...  
Keyword(s):  
Strike Slip ◽  
Fault Slip ◽  
Slip Distribution ◽  
Synthetic Aperture ◽  
Seismic Events ◽  
Interferometric Synthetic Aperture Radar ◽  
The Past ◽  
Dextral Strike Slip Fault ◽  
Fault Slip Distribution ◽  
Dextral Strike Slip

AbstractThe 2019 Ridgecrest, California seismic sequence, including an Mw6.4 foreshock and Mw7.1 mainshock, represent the largest regional seismic events within the past 20 years. To obtain accurate coseismic fault-slip distribution, we used precise positioning data of small earthquakes from January 2019 to October 2020 to determine the dip parameters of the eight fault geometry, and used the Interferometric Synthetic Aperture Radar (InSAR) data processed by Xu et al. (Seismol Res Lett 91(4):1979–1985, 2020) at UCSD to constrain inversion of the fault-slip distribution of both earthquakes. The results showed that all faults were sinistral strike-slips with minor dip-slip components, exception for dextral strike-slip fault F2. Fault-slip mainly occurred at depths of 0–12 km, with a maximum slip of 3.0 m. The F1 fault contained two slip peaks located at 2 km of fault S4 and 6 km of fault S5 depth, the latter being located directly above the Mw7.1hypocenter. Two slip peaks with maximum slip of 1.5 m located 8 and 20 km from the SW endpoint of the F2 fault were also identified, and the latter corresponds to the Mw6.4 earthquake. We also analyzed the influence of different inversion parameters on the fault slip distribution, and found that the slip momentum smoothing condition was more suitable for the inversion of the earthquakes slip distribution than the stress-drop smoothing condition.

scholarly journals Fault slip distribution and fault roughness

2011 ◽  
Vol 187 (2) ◽  
pp. 959-968 ◽  
Author(s):  
Thibault Candela ◽  
François Renard ◽  
Jean Schmittbuhl ◽  
Michel Bouchon ◽  
Emily E. Brodsky
Keyword(s):  
Fault Slip ◽  
Slip Distribution ◽  
Fault Roughness ◽  
Fault Slip Distribution

scholarly journals Fault slip distribution of the 2014 Iquique, Chile, earthquake estimated from ocean-wide tsunami waveforms and GPS data

2015 ◽  
Vol 42 (4) ◽  
pp. 1053-1060 ◽  
Author(s):  
Aditya Riadi Gusman ◽  
Satoko Murotani ◽  
Kenji Satake ◽  
Mohammad Heidarzadeh ◽  
Endra Gunawan ◽  
...  
Keyword(s):  
Fault Slip ◽  
Slip Distribution ◽  
Gps Data ◽  
Chile Earthquake ◽  
Tsunami Waveforms ◽  
Fault Slip Distribution

scholarly journals Sensitivity Analysis for Seafloor Geodetic Constraints on Coseismic Slip and Interseismic Slip-Deficit Distributions

2021 ◽  
Vol 9 ◽  
Author(s):  
Sota Murakami ◽  
Tsuyoshi Ichimura ◽  
Kohei Fujita ◽  
Takane Hori ◽  
Yusaku Ohta
Keyword(s):  
Finite Element ◽  
Quantitative Evaluation ◽  
Crustal Structure ◽  
Crustal Deformation ◽  
High Accuracy ◽  
Slip Distribution ◽  
Estimation Accuracy ◽  
Coseismic Slip ◽  
Slip Deficit ◽  
Observation Methods

Estimating the coseismic slip distribution and interseismic slip-deficit distribution play an important role in understanding the mechanism of massive earthquakes and predicting the resulting damage. It is useful to observe the crustal deformation not only in the land area, but also directly above the seismogenic zone. Therefore, improvements in terms of measurement precision and increase in the number of observation points have been proposed in various forms of seafloor observation. However, there is lack of research on the quantitative evaluation of the estimation accuracy in cases where new crustal deformation observation points are available or when the precision of the observation methods have been improved. On the other hand, the crustal structure models are improving and finite element analysis using these highly detailed crustal structure models is becoming possible. As such, there is the real possibility of performing an inverted slip estimation with high accuracy via numerical experiments. In view of this, in this study, we proposed a method for quantitatively evaluating the improvement in the estimation accuracy of the coseismic slip distribution and the interseismic slip-deficit distribution in cases where new crustal deformation observation points are available or where the precision of the observation methods have been improved. As a demonstration, a quantitative evaluation was performed using an actual crustal structure model and observation point arrangement. For the target area, we selected the Kuril Trench off Tokachi and Nemuro, where M9-class earthquakes have been known to occur in the past and where the next imminent earthquake is anticipated. To appropriately handle the effects of the topography and plate boundary geometry, a highly detailed three-dimensional finite element model was constructed and Green’s functions of crustal deformation were calculated with high accuracy. By performing many inversions via optimization using Green’s functions, we statistically evaluated the effect of increase in the number of observation points of the seafloor crustal deformation measurement and the influence of measurement error, taking into consideration the diversity of measurement errors. As a result, it was demonstrated that the observation of seafloor crustal deformation near the trench axis plays an extremely important role in the estimation performance.

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