SCEC Award Number 20164 View PDF
Proposal Category Individual Proposal (Integration and Theory)
Proposal Title Mining CyberShake for Earthquake Scenarios With Correlation Structure
Investigator(s)
Name Organization
Kim Olsen San Diego State University
Other Participants PhD Candidate Zhifeng Hu
SCEC Priorities 4a, 4b, 4c SCEC Groups CS, Seismology, GM
Report Due Date 03/15/2021 Date Report Submitted 05/08/2021
Project Abstract
We have implemented a process for enhanced mining and enhancement of the vast SCEC CyberShake (CS) database, in order to extract individual scenarios and prepare them for use in societal applications such as earthquake loss estimation and structural engineering analysis. The enhancement includes support for disaggregation for an area rather than a single site, as well as high-resolution scenario spectral acceleration maps for selected periods, including spatial and inter-frequency correlation. The final product enhances the applicability of the CS database in areas including loss estimation for the insurance industry.
Intellectual Merit The results of the project provides support for seismologists and engineers to study the seismic hazard from high-resolution scenario spectral accelerations, rather than only the final hazard maps or hazard sites. For example, the results provides support for use of spectral accelerations at desired periods to study the impact on buildings.
Broader Impacts The earthquake insurance industry now has a critical resource available to estimate losses, by disaggregating in areas of interests, generating spectral acceleration maps at high resolution for that area at desired periods, to prepare loss estimates for the use in determining insurance premiums. Two PhD students learned about the use of the CyberShake database and its potential. Kevin Milner and Scott Callaghan provided invaluable support for this project.
Exemplary Figure Figure 7. Example interpolated SA map (SA-1s), study 15.4, source 69, rupture 6, rupture variation 14, SA period 3.0 s, include inter-frequency and spatial correlation.