scholarly journals CORRECTION-FACTOR MODEL OF RUPTURE DIRECTIVITY AND RADIATION PATTERN FOR EMPIRICAL GROUND-MOTION ATTENUATION RELATIONS OF CRUSTAL EARTHQUAKES

2011 ◽  
Vol 76 (661) ◽  
pp. 499-508 ◽  
Author(s):  
Toshimi SATOH
Keyword(s):  
Radiation Pattern ◽  
Ground Motion ◽  
Correction Factor ◽  
Factor Model ◽  
Rupture Directivity ◽  
Attenuation Relations ◽  
Ground Motion Attenuation ◽  
Crustal Earthquakes ◽  
Empirical Ground

Directivity Effect in the Peak Ground Acceleration Fields and Attenuation Relations - A Case Study of the Ms 8.0 Wenchuan Earthquake

2011 ◽  
Vol 250-253 ◽  
pp. 2554-2557
Author(s):  
Jin Jun Hu ◽  
Li Li Xie ◽  
Yong Qiang Yang
Keyword(s):  
Wenchuan Earthquake ◽  
Ground Motion ◽  
Near Field ◽  
Time History ◽  
Rupture Directivity ◽  
Peak Acceleration ◽  
Ground Acceleration ◽  
Attenuation Relations ◽  
Directivity Effect ◽  
Ground Motion Attenuation

We study the characteristics of ground motion fields and peak ground motion attenuation relations during the 2008 Ms 8.0 great Wenchuan earthquake by using 198 sets of three-component acceleration time history recordings. To provide a comparable result to other earthquakes, we first rotated the east-west (EW) and north-south (NS) orientated ground motion to fault strike normal (FN) and fault strike parallel (FP) directions. Through comparison of the near-field peak acceleration fields and peak acceleration attenuation relations, there obviously exists a rupture directivity effect in the peak ground accelerations. The amplitude in the rupture propagation direction is higher than that of the opposite direction. And the closer the station to the fault plane, the smaller the difference of ground motion amplitude between the two opposite directions.

A Monte Carlo approach to seismic hazard analysis

1999 ◽  
Vol 89 (4) ◽  
pp. 854-866 ◽  
Author(s):  
John E. Ebel ◽  
Alan L. Kafka
Keyword(s):  
Monte Carlo ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Epicentral Distance ◽  
Ground Motions ◽  
Source Parameters ◽  
Parametric Models ◽  
Earthquake Catalog ◽  
Attenuation Relations ◽  
Ground Motion Attenuation

Abstract We have developed a Monte Carlo methodology for the estimation of seismic hazard at a site or across an area. This method uses a multitudinous resampling of an earthquake catalog, perhaps supplemented by parametric models, to construct synthetic earthquake catalogs and then to find earthquake ground motions from which the hazard values are found. Large earthquakes extrapolated from a Gutenberg-Richter recurrence relation and characteristic earthquakes can be included in the analysis. For the ground motion attenuation with distance, the method can use either a set of observed ground motion observations from which estimates are randomly selected, a table of ground motion values as a function of epicentral distance and magnitude, or a parametric ground motion attenuation relation. The method has been tested for sites in New England using an earthquake catalog for the northeastern United States and southeastern Canada, and it yields reasonable ground motions at standard seismic hazard values. This is true both when published ground motion attenuation relations and when a dataset of observed peak acceleration observations are used to compute the ground motion attenuation with distance. The hazard values depend to some extent on the duration of the synthetic catalog and the specific ground motion attenuation used, and the uncertainty in the ground motions increases with decreasing hazard probability. The program gives peak accelerations that are comparable to those of the 1996 U.S. national seismic hazard maps. The method can be adapted to compute seismic hazard for cases where there are temporal or spatial variations in earthquake occurrence rates or source parameters.

Update of the Chiou and Youngs NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra

2014 ◽  
Vol 30 (3) ◽  
pp. 1117-1153 ◽  
Author(s):  
Brian S.-J. Chiou ◽  
Robert R. Youngs
Keyword(s):  
Ground Motion ◽  
Hanging Wall ◽  
Response Spectra ◽  
Rupture Directivity ◽  
Crustal Earthquakes ◽  
Aleatory Variability ◽  
Source Distance ◽  
Active Tectonic ◽  
Peak Ground Motion ◽  
Horizontal Ground Motion

We present an update to our 2008 NGA model for predicting horizontal ground motion amplitudes caused by shallow crustal earthquakes occurring in active tectonic environments. The update is based on analysis of the greatly expanded NGA-West2 ground motion database and numerical simulations. The updated model contains minor adjustments to our 2008 functional form related to style of faulting effects, hanging wall effects, scaling with the depth to top of rupture, scaling with sediment thickness, and the inclusion of additional terms for the effects of fault dip and rupture directivity. In addition, we incorporate regional differences in far-source distance attenuation and site effects between California and other active tectonic regions. Compared to our 2008 NGA model, the predicted medians by the updated model are similar for M > 7 and are lower for M < 5. The aleatory variability is larger than that obtained in our 2008 model.

scholarly journals Effects of finite source rupture on landslide triggering: The 2016 <i>M<sub>W</sub></i> 7.1 Kumamoto earthquake

2018 ◽  
Author(s):  
Sebastian von Specht ◽  
Ugur Ozturk ◽  
Georg Veh ◽  
Fabrice Cotton ◽  
Oliver Korup
Keyword(s):  
Radiation Pattern ◽  
Ground Motion ◽  
Low Frequency ◽  
New Physics ◽  
Rupture Directivity ◽  
Ground Shaking ◽  
Kumamoto Earthquake ◽  
Directivity Effect ◽  
Seismic Rupture ◽  
Landslide Distribution

Abstract. The propagation of a seismic rupture on a fault introduces spatial variations in the seismic wavefield surrounding the fault during an earthquake. This directivity effect results in larger shaking amplitudes in the rupture propagation direction. Its seismic radiation pattern also causes amplitude variations between the strike-normal and strike-parallel components of horizontal ground motion. We investigated the landslide response to these effects during the 2016 Kumamoto earthquake (MW 7.1) in central Kyūshū (Japan). Although the distribution of some 1,500 earthquake-triggered landslides as function of rupture distance is consistent with the observed Arias intensity, the landslides are more concentrated to the northeast of the southwest-northeast striking rupture. We examined several landslide susceptibility factors: hillslope inclination, median amplification factor (MAF) of ground shaking, lithology, land cover, and topographic wetness. None of these factors can sufficiently explain the landslide distribution or orientation (aspect), although the landslide headscarps coincide with elevated hillslope inclination and MAF. We propose a new physics-based ground motion model that accounts for the seismic rupture effects, and demonstrate that the low-frequency seismic radiation pattern consistent with the overall landslide distribution. The spatial landslide distribution is primarily influenced by the rupture directivity effect, whereas landslide aspect is influenced by amplitude variations between the fault-normal and fault-parallel motion at frequencies

scholarly journals An attempt to model the relationship between MMI attenuation and engineering ground-motion parameters using artificial neural networks and genetic algorithms

2010 ◽  
Vol 10 (12) ◽  
pp. 2527-2537 ◽  
Author(s):  
G-A. Tselentis ◽  
L. Vladutu
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Artificial Neural Networks ◽  
Ground Motion ◽  
Classification Problems ◽  
Attenuation Relations ◽  
Ground Motion Parameters ◽  
Ground Motion Attenuation ◽  
Motion Parameters ◽  
Artificial Neural

Abstract. Complex application domains involve difficult pattern classification problems. This paper introduces a model of MMI attenuation and its dependence on engineering ground motion parameters based on artificial neural networks (ANNs) and genetic algorithms (GAs). The ultimate goal of this investigation is to evaluate the target-region applicability of ground-motion attenuation relations developed for a host region based on training an ANN using the seismic patterns of the host region. This ANN learning is based on supervised learning using existing data from past earthquakes. The combination of these two learning procedures (that is, GA and ANN) allows us to introduce a new method for pattern recognition in the context of seismological applications. The performance of this new GA-ANN regression method has been evaluated using a Greek seismological database with satisfactory results.

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