Normas de Diseño por Sismo en México DF:  algunas novedades interesantes

Ordaz, Mario

doi:10.23878/alternativas.v17i3.220

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…In particular, the GMPMs proposed by (Reyes 1999) and (Jaimes et al 2006) (herein referred as to R99 and J06, respectively) have been used in the current Mexico City Standard for Seismic Design (NTCDS 2017) to de ne the design spectrum at the hill zone based on the uniform hazard spectrum (UHS) obtained at CU for 250 years return period. This UHS has been used as a reference to estimate seismic hazard and design spectra at other city sites through the spectral ampli cation functions pre-computed between soft sites and the reference station CU (Ordaz 2017). Despite the good performance of R99 and J06, in terms of their predictive capability of ground motion for Mexican interface earthquakes, it is essential to update the database to consider the moderate earthquakes (6.0 < M w < 7.4) that have occurred during 2004-2021.…”

Section: Introductionmentioning

confidence: 99%

A far-field ground motion prediction model for interface earthquakes at the hill zone of Mexico City

2023

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This study presents an updated attenuation model to predict the peak ground acceleration (PGA), peak ground velocity (PGV), 5% damped pseudo-spectral acceleration (SA), and the average spectral acceleration (AvgSA) at the hill zone of Mexico City for interface earthquakes. The strong-motion dataset comprises 33 earthquakes recorded at CU station, covering a moment magnitude (M w ) range from 6.0 to 8.1 and a source-to-site distance (R rup ) range from 240 to 490 km. Given the small number of available observations, a Bayesian regression scheme is used to obtain the coe cients of the ground-motion prediction model (GMPM). In addition, the epistemic uncertainty in the estimation of the regression coe cients is evaluated, showing its impact on the framework of a probabilistic seismic hazard analysis (PSHA). The results are compared with models previously developed for the CU station, discussing the differences observed between the median predictions and their standard deviations. Likewise, seismic hazard curves are computed and compared with empirical curves obtained by counting the number of times per year that a given value of ground-motion intensity is exceeded. The results show that the dispersion of the GMPM proposed is lower than the previous models for PGA and SA, which means better predictability and more reliable estimates of the seismic hazard at the site.

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Section: Introductionmentioning

confidence: 99%