scholarly journals The older the better? The strange case of empirical ground motion models in the near-source of moderate-to-large magnitude earthquakes

2022 ◽  
Author(s):  
Roberto Paolucci ◽  
Angela Chiecchio ◽  
Manuela Vanini
Keyword(s):  
Ground Motion ◽  
Large Magnitude ◽  
Motion Models ◽  
Empirical Ground ◽  
Ground Motion Models

scholarly journals The Older The Better? The Strange Case of Empirical Ground Motion Models in the Near-Source of Moderate-To-Large Magnitude Earthquakes

2021 ◽  
Author(s):  
Roberto Paolucci ◽  
Angela Chiecchio ◽  
Manuela Vanini
Keyword(s):  
Ground Motion ◽  
Seismic Design ◽  
Strong Motion ◽  
Seismic Hazard Assessment ◽  
Large Magnitude ◽  
Motion Models ◽  
Empirical Ground ◽  
Ground Motion Models ◽  
Large Earthquakes ◽  
Selection Of

Abstract This paper aims at providing a quantitative evaluation of the performance of a set of empirical ground motion models (GMMs), by testing them in a magnitude and distance range (Mw = 5.5 ÷ 7.0 and Joyner-Boore source-to-site distance Rjb ≤ 20 km) which dominates hazard in the highest seismicity areas of Italy for the return periods of upmost interest for seismic design. To this end, we made use of the very recent release of the NESS2.0 dataset (Sgobba et al., 2021), that collects worldwide near-source strong motion records with detailed metadata. After selection of an ample set of GMMs, based on either their application in past seismic hazard assessment (SHA) studies or for their recent introduction, a quantification of between- and within-event residuals of predictions with respect to records was performed, with the final aim of shedding light on the performance of existing GMMs in the near-source of moderate-to-large earthquakes, in view of a proper selection and weighting of GMMs for SHA.

A Bayesian model for truncated regression for the estimation of empirical ground-motion models

2020 ◽  
Vol 18 (14) ◽  
pp. 6149-6179
Author(s):  
Nicolas Martin Kuehn ◽  
Tadahiro Kishida ◽  
Mohammad AlHamaydeh ◽  
Grigorios Lavrentiadis ◽  
Yousef Bozorgnia
Keyword(s):  
Ground Motion ◽  
Bayesian Model ◽  
Truncated Regression ◽  
Motion Models ◽  
Empirical Ground ◽  
Ground Motion Models
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