Spatial correlation analysis of CyberShake simulations, considering multiple ruptures

Jack W. Baker, & Yilin Chen

In Preparation July 1, 2022, SCEC Contribution #11718

This paper studies the correlation of mixed-source data from CyberShake simulations. A subset of the rupture catalog is selected, and ground motion residuals are combined to investigate the correlations from mixed sources. The average correlation for all stations and sources is consistent with a reference empirical model. However, the variation of correlations from different sources for a pair of stations depends on their distances and geological conditions. A network analysis algorithm is applied to detect patterns for correlations from mixed sources. The detected communities show similar geological conditions and commonality of selected rupture geometry, but the difference between community correlations is less significant compared with the single-source result. It suggests that the mixed-source data tend to average out the non-stationary influence of source and path effects from a single rupture, which leads to a nearly stationary correlation.

Citation
Baker, J. W., & Chen, Y. (2022, 07). Spatial correlation analysis of CyberShake simulations, considering multiple ruptures. Oral Presentation at 12th National Conference on Earthquake Engineering.

Related Projects & Working Groups
GMSV