SCEC Cybershake
SCEC CyberShake Software Developers
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Software Repository
Scientific Point of Contact
Distribution Formats
SCEC GitHub source code
Mailing List
Join CyberShake mailing list for announcements, new releases
User Resources Software License
BSD-3
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Overview
CyberShake is a high-performance computational platform developed by the Southern California Earthquake Center (SCEC) to produce seismic hazard models from large suites of earthquake simulations. CyberShake is an integrated collection of scientific software and middleware that performs 3D physics-based probabilistic seismic hazard analysis (PSHA). The CyberShake platform populates a mesh with velocity information for a region of interest, which serves as input to AWP-ODC-SGT, which generates Strain Green Tensors (SGTs). A catalog of earthquakes is produced by extending a selected earthquake rupture forecast (ERF) by varying the hypocenter location and slip distribution, or using an eERF generated by an earthquake simulator. Seismic reciprocity is used to calculate synthetic seismograms for approximately 500,000 events per site. From these seismograms intensity measures (IMs), such as peak spectral acceleration and RotD100, are calculated, as well as duration metrics. IMs are combined with probabilities from the ERF into a PSHA curve for the site of interest. Hazard curves from hundreds of sites are combined into a hazard map for a region. CyberShake produces a rich suite of layered data that includes PSHA hazard maps, site-specific PSHA hazard curves, large sets of peak amplitude measurements, rupture descriptions, and synthetic seismograms.
Current Release
Release Notes
- Code repository migrated from SVN to SCECcode GitHub repository
- Updated Graves and Pitraka Rupture Generator
- Support for RSQSim-based Earthquake Rupture Forecast
- Integrated Broadband Platform standard processing methods
- Modified method for populating top velocity mesh point
Sponsors
User Resources
- Software Documentation: https://strike.usc.edu/scecpedia/CyberShake
- Community Wiki: https://strike.usc.edu/scecpedia/CyberShake
- CyberShake Mailing List: For announcements about new releases, join the CyberShake mailing list.
- Email support: software@scec.org
- Issue Reporting: https://github.com/SCECcode/cybershake-core/issues
Developer Resources
Retrieve Previous Versions
- study_21_12
- study_18_8
- study_17_3
- study_15_4
Related Repositories
Supporting Documentation
- Detailed Description of the CyberShake codebase: https://strike.scec.org/scecpedia/CyberShake_Code_Base
- CyberShake training materials ares posted on a SCEC wiki at https://strike.scec.org/scecpedia/CyberShake_Training
- A table-based comparison of CyberShake studies in posted on a SCEC wiki at https://strike.scec.org/scecpedia/Comparison_of_CyberShake_Studies
- CyberShake Study 21.12
- CyberShake Study 18.8
- CyberShake Study 17.3
- CyberShake Study 15.12
- CyberShake Study 15.4
Data Products
How to Cite
Selected Publications
- 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. SCEC Contribution 11718
- Lee, Y., Goulet, C. A., Hu, Z., & Eguchi, R. T. (2022, 02). Impact of CyberShake on Risk Assessments for Distributed Infrastructure Systems. Oral Presentation at ASCE Lifelines Conference 2021-2022. SCEC Contribution 11027
- Azar, Sarah & Dabaghi, Mayssa. (2021). Simulation-Based Seismic Hazard Assessment Using Monte-Carlo Earthquake Catalogs: Application to CyberShake. Bulletin of the Seismological Society of America. 111. 1481-1493. https://doi.org/10.1785/0120200375
- Fayaz, J., Rezaeian, S., Zareian, F. (2021) Evaluation of simulated ground motions using probabilistic seismic demand analysis: CyberShake (ver. 15.12) simulations for Ordinary Standard Bridges, Soil Dynamics and Earthquake Engineering,Volume 141,2021,106533, ISSN 0267-7261, https://doi.org/10.1016/j.soildyn.2020.106533.
- Bijelic, Nenad & Lin, Ting & Deierlein, Gregory. (2020). Efficient intensity measures and machine learning algorithms for collapse prediction of tall buildings informed by SCEC CyberShake ground motion simulations. Earthquake Spectra. 36. 1188-1207. https://doi.org/10.1177/8755293020919414 SCEC Contribution 8040
- Bijelic, Nenad & Lin, Ting & Deierlein, Gregory. (2019). Quantification of the Influence of Deep Basin Effects on Structural Collapse Using SCEC CyberShake Earthquake Ground Motion Simulations. Earthquake Spectra. 35. 1845-1864. https://doi.org/10.1193/080418EQS197M
- Teng, G., & Baker, J. W. (2018). Evaluation of CyberShake Ground Motions for Engineering Practice. Earthquake Spectra, November 28, 2019 https://doi.org/10.1193/100918EQS230M SCEC Contribution 8224
- Bijelic, N., Lin, T., & Deierlein, G. (2018). Influence of high-frequency components of hybrid-broadband and deterministic CyberShake ground motion simulations on nonlinear response analyses of buildings. Seismological Research Letters, https://doi.org/10.1785/0120180324 SCEC Contribution 8038
- Jordan, T. H., Callaghan, S., Graves, R. W., Wang, F., Milner, K. R., Goulet, C. A., Maechling, P. J., Olsen, K. B., Cui, Y., Juve, G., Vahi, K., Yu, J., Deelman, E., & Gill, D. (2018, 06). CyberShake Models of Seismic Hazards in Southern and Central California. Oral Presentation at Eleventh U.S. National Conference on Earthquake Engineering. SCEC Contribution 8991