English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A new non-ergodic ground-motion model (GMM) for effective amplitude spectral($EAS$) values for California is presented in this study. $EAS$, which isdefined in Goulet et al. (2018), is a smoothed rotation-independent Fourieramplitude spectrum of the two horizontal components of an acceleration timehistory. The main motivation for developing a non-ergodic $EAS$ GMM, ratherthan a spectral acceleration GMM, is that the scaling of $EAS$ does not dependon spectral shape, and therefore, the more frequent small magnitude events canbe used in the estimation of the non-ergodic terms.  The model is developed using the California subset of the NGAWest2 datasetAncheta et al. (2013). The Bayless and Abrahamson (2019b) (BA18) ergodic $EAS$GMM was used as backbone to constrain the average source, path, and sitescaling. The non-ergodic GMM is formulated as a Bayesian hierarchical model:the non-ergodic source and site terms are modeled as spatially varyingcoefficients following the approach of Landwehr et al. (2016), and thenon-ergodic path effects are captured by the cell-specific anelasticattenuation attenuation following the approach of Dawood and Rodriguez-Marek(2013). Close to stations and past events, the mean values of the non-ergodicterms deviate from zero to capture the systematic effects and their epistemicuncertainty is small. In areas with sparse data, the epistemic uncertainty ofthe non-ergodic terms is large, as the systematic effects cannot be determined.  The non-ergodic total aleatory standard deviation is approximately $30$ to$40\%$ smaller than the total aleatory standard deviation of BA18. Thisreduction in the aleatory variability has a significant impact on hazardcalculations at large return periods. The epistemic uncertainty of the groundmotion predictions is small in areas close to stations and past events.

A Non-ergodic Effective Amplitude Ground-Motion Model for California