Site response data used for deriving ergodicity factors for performing non-ergodic PSHA
Probabilistic seismic hazard analysis (PSHA) is the basis for the development of the National Seismic Hazard Maps (NSHM) produced by the USGS. These maps are adopted by national building codes for the design of structures. For this reason, the hazard maps can have a significant economic impact nationwide and it is important to ensure that the maps reflect the state of the practice in PSHA and properly incorporate all sources of uncertainty that must be accounted for in the hazard analyses.
This research has proposed a new framework by which non-ergodic PSHA can be implemented in building codes. Within this framework, the code-based design ground motions are corrected for the ergodicity in site effects using the ‘ergodicity factor’. The ergodicity factor is computed as the ratio of non-ergodic ground motion to the ergodic ground motion at a given hazard level. The factors are computed in hazard space to allow for ready implementation into building codes. The ergodicity factors are postulated as a function of degree of site characterization, which is parameterized using the uncertainty in velocity estimates. The framework was generalized based on multiple soil profiles obtained from the KiK-net database. The generic ergodicity factors based on NEHRP site class and the degree of site characterization is presented.
The dataset presented herein is the compilation of the soil velocity profiles obtained from KiK-net database randomized based on Toro randomization model, Fourier Amplitude Spectrum (FAS) of the input motion used for performing site response, results from site response analyses and the ergodicity factors derived in the process. For more details on the research, the users of this dataset are referred to the report " Adrian Rodriguez-Marek and Balakumar Anbazhagan., (2022). A framework for incorporating non-ergodic PSHA in building codes. Final report submitted to United States Geological Survey."
Moving Towards the Use of Single-Station Sigma in National Hazard Maps
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