Group A, Poster #177, Ground Motions
Informing Rupture Directivity Modeling with CyberShake Simulations
Poster Image:
Poster Presentation
2023 SCEC Annual Meeting, Poster #177, SCEC Contribution #12866 VIEW PDF
ll. This is the same observation Bea20 made with respect to the recorded data used to develop their model.
Peak amplitudes of mean simulation residuals are found to be generally lower than the mean Bea20 predictions, and the variance of the simulation residuals are found to be generally larger than Bea20. Nonetheless, modeling improvements gained by incorporating Bea20 are quantified through residual variance reductions. At T=5 sec, residual variance reductions of between 0.05 and 0.09 are found. This reduction is larger than the empirically derived reduction from Bea20, which is based on a relatively sparse dataset, and represents about a 12% reduction in one component of the aleatory variability, which is large enough to be impactful in seismic hazard applications.
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Peak amplitudes of mean simulation residuals are found to be generally lower than the mean Bea20 predictions, and the variance of the simulation residuals are found to be generally larger than Bea20. Nonetheless, modeling improvements gained by incorporating Bea20 are quantified through residual variance reductions. At T=5 sec, residual variance reductions of between 0.05 and 0.09 are found. This reduction is larger than the empirically derived reduction from Bea20, which is based on a relatively sparse dataset, and represents about a 12% reduction in one component of the aleatory variability, which is large enough to be impactful in seismic hazard applications.
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Citation: Bayless, J., & Abrahamson, N. A. (2023, 09). Informing Rupture Directivity Modeling with CyberShake Simulations. Poster Presentation at 2023 SCEC Annual Meeting.
Keywords: directivity, cybershake, GMM
SCEC Award: 21143
Relevant SCEC Themes:
Ground Motion Simulation
Probabilistic Seismic Hazard Analysis
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