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PRJ-1975 | SCEC BBP Study 17.3 Dataset
Cite This Data:
Goulet, C., S. Mazzoni, C. Goulet, P. Maechling, F. Silva (2018). SCEC BBP Study 17.3 Dataset. DesignSafe-CI. https://doi.org/10.17603/DS2267Q

Authors; ; ; ;
Date of Publication2018-06-13
Awards
This work was supported by the Southern California Earthquake Center. SCEC is funded by USGS Cooperative Agreement G17AC00047 and by NSF Cooperative Agreement EAR-1600087. Additional SCEC funding provided by the Pacific Gas and Electric Co.
Keywordssimulation, seismograms, ground motions, SCEC, BBP, synthetic, broadband
DOI10.17603/DS2267Q
Description:

This dataset includes three-component seismograms (H1, H2 and Z) simulated using the Southern California Earthquake Center (SCEC) Broadband Platform (BBP). The simulations were developed for SCEC Project #16110 with the broad objective to: test and validate the use of simulated ground motions from SCEC's BBP in nonlinear response history analysis and collapse assessment of tall buildings. The scenario selection was performed to develop hazard-consistent ground motions for target hazard parameters (pseudo-spectral acceleration, spectral shape and duration). Selected scenarios (based on UCERF2 rupture definitions) include 1. S. San Andreas (source 548): M7.9, 8 hypocenters, 1 realization/hypocenter, 2. Elysian Park (source 260): M6.6, 2 hypocenters, 16 realizations/hypocenter, 3. San Jacinto (source 488): M7.8, 4 hypocenters, 16 realizations/hypocenter, 4. N. San Andreas (source 212): M8.0, 6 hypocenters, 16 realizations/hypocenter, 5. Hayward - Rodgers Creek (source 334): M7.0, 3, hypocenters, 16 realizations/hypocenter. Selected stations include 11 sites in downtown Los Angeles area (Vs30: 390-500 m/s), B. 11 sites in San Bernardino area (Vs30: 280-748 m/s), C. 6 sites in San Francisco Bay area (Vs30: 863 m/s). The project team was coordinated under the Ground Motion Simulation Validation (GMSV) group within SCEC and included: Nenad Bijelic (Stanford), Gregory Deirlein (Stanford), Christine Goulet (USC), Robert Graves (USGS), Ting Lin (Marquette), Nicolas Luco (USGS), Philip Maechling (USC), Sanaz Rezaeian (USGS), Fabio Silva (USC), Wen-Yi Yen (Stanford), Farzin Zareian (UCI), Kuanshi Zhong (Stanford)

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