As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The seismic hazard assessment is an essential tool for site seismic analysis and in general, for disaster mitigation. The selection of ground motion prediction equations (GMPEs) tends to exert a greater influence on the final results of seismic hazard calculations. Currently, in Peru, two GMPEs exists that are derived from local data; however, these models have important shortcomings due to few records used. This study investigates the applicability of foreign GMPEs derived from regional and global data to the Peruvian subduction-zone. To that end, it was compiled a database of subduction-zone strong-motion records, which consists of 484 ground motion records from 118 subduction-type events with moment magnitudes ranging from 5.0 to 8.4, recorded in Peru and northern Chile, between 1966 and 2015. The average log-likelihood method (LLH) of Scherbaum et al. [1] has been applied to assess the goodness of fit of different GMPEs to the data. Results show that for interface models Youngs et al. [2] and Zhao et al. [3] have the best performance; meanwhile, the Abrahamson et al. [4] model shows a good fit for periods greater than 1.0 s, but it would not be applicable to the northern Peruvian coast. For intraslab events, the Abrahamson et al. [4] model shows the best fit to the data followed by the Zhao et al. [5] model. Finally, weights for each selected GMPE were proposed for B and C site classes [6] in order to produce the best calculation of spectral acceleration.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.