Descripción
Over the past decades, the probabilistic seismic hazard analysis (PSHA) methodology has served as the foundation for performance-based evaluations of civil structures. However, it is only in recent years that this approach has been extended to regional analyses, addressing, for instance, the interconnectivity of infrastructures across large, densely populated areas. Regional analyses necessitate the incorporation of spatial interactions of seismic phenomena into hazard models, thereby enhancing the predictive capability of various intensity measures (IMs) considered in the analysis. In a highly seismic country like Chile, this regional perspective enables more reliable decision-making for critical socio-economic activities vital to the nation.In this context, the present study implements a regional PSHA for Central Chile, utilizing region-specific characteristics and models. The magnitude-distance (M-R) relationships are derived from the recurrence model of Poulos et al. (2019) and the subduction geometry provided by Slab2 (Hayes et al., 2018). These M-R relationships are linked to seismic hazard through ground motion models (GMMs), specifically those proposed by Idini et al. (2017) and Montalva et al. (2017). Spatial fields of IMs, such as spectral pseudo-acceleration Sa(T) and Sa(avg), are estimated by incorporating the spatial correlation model for Sa(T) proposed by Aldea et al. (2022) and the model by Heresi and Miranda (2021) for Sa(avg), as well as the cross-correlation model by Candia et al. (2020) for IMs.
Finally, characteristic spectra for various hazard levels are generated using the conditional spectra methodology, accounting for the spatial and temporal dependencies of the selected IMs. The results of this analysis can subsequently be employed in regional risk assessments for various types of structures.
| Período | oct 2024 |
|---|---|
| Celebrado en | GIASIS, Chile |
| Grado de reconocimiento | Nacional |