SCEC Award Number 14140 View PDF
Proposal Category Travel Only Proposal (SCEC Annual Meeting)
Proposal Title Sensitivity Analysis of Near-source Ground Motion Characteristics To Source (Correlation) Statistics
Investigator(s)
Name Organization
Seok Goo Song Eidgenössische Technische Hochschule Zürich (Switzerland) Luis Dalguer Eidgenössische Technische Hochschule Zürich (Switzerland)
Other Participants 2 PhD students
SCEC Priorities 6b, 6e, 4d SCEC Groups GMP, CME, FARM
Report Due Date 10/10/2014 Date Report Submitted N/A
Project Abstract
 This project was funded in 2009-2010 and 2012-2014 by SCEC. The main (long-term) research objective is to develop a full description of probabilistic model for finite faulting process to generate physics-based rupture scenarios for simulating ground motions. We also aim to understand the effect of complex source processes on near-source ground motion characteristics. We developed a stochastic model that governs the finite source process with 1-point and 2-point statistics of kinematic source parameters and also a pseudo-dynamic rupture model generator (SongRMG, Ver 1.0). In the project year, we investigate the effect of fracture energy on earthquake source correlation statistics (Song, 2015).
Intellectual Merit Rupture dynamics enables us to understand earthquake rupture process in a physics-based way. We can study many interesting and complicated features of earthquake rupture by dynamic modeling. On the other hand, earthquake statistics enables us to quantify the variability of earthquake rupture for future events. We aim to develop a stochastic model for finite source process with simple correlation structures. This is an exciting research work because we can simulate finite source models by stochastic modeling in addition to dynamic rupture modeling.
Broader Impacts Seismologists and earthquake engineers can use stochastic finite source modeling tools developed in this project and generate a number of rupture scenarios for simulating ground motions. They can also study the effect of finite source process on near-source ground motion characteristics in a systematic sense.
Exemplary Figure Figure 3. Cross-correlation structure of three pairs (e.g., three rows) of source parameters for the four different input fracture energy distributions (e.g., four columns). Note that the last two rows (slip vs. Vmax and Vr vs. Vmax) vary more significantly than the first row (slip vs. Vr) between models, and there is a certain level of similarity of the correlation structures when SE and Dc share the same polarity of correlation with stress drop.
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