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A Bayesian update of Kotha et al. (2020) ground-motion model using Résif dataset
Recent updates of pan-European seismic hazard and risk maps adopted the partially non-ergodic Kotha et al. (Bull Earthq Eng 18:4091–4125, 2020)...
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A simulation-based regional ground-motion model for Western Turkiye
We developed a simulation-based ground motion model (GMM) for Western Turkiye emphasizing the regional differences between the Aegean and Marmara...
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Model selection for prediction of strong ground motion peaks in Türkiye
This study focuses on the model selection of peak ground acceleration (PGA), peak ground velocity (PGV), and peak ground displacement (PGD)...
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Engineering-oriented ground-motion model for Israel
This study presents a response-spectral Ground Motion Model (GMM) for Israel, called KYB22 herein and derived with practical applications in mind....
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Ground motion prediction model for Himalayan region: a comprehensive review
In past, several ground motion prediction models (GMMs) were developed in Himalayan region. However, there is no comprehensive review available for...
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Adjusting an active shallow crustal ground motion model to regions with scarce data: application to France
The objective of this work is to test whether an empirical Ground Motion Model (GMM) developed for high-seismicity regions can be effectively adapted...
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Regional model of peak ground motion in Southwestern Germany
Ground motion prediction equations (GMPEs) and the effects of site amplifications are substantial for the assessment of seismic hazard. To...
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Application of a new machine learning model to improve earthquake ground motion predictions
A cross-region prediction model named SeisEML (an acronym for Seismological Ensemble Machine Learning) has been developed in this paper to predict...
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Partially non-ergodic ground motion model for the Bucaramanga seismic nest in Northern South America (NoSAm Nest GMM)
The Bucaramanga seismic nest has the highest concentration in volume of intermediate depth seismic events with light and moderate magnitudes...
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GA-BPNN Prediction Model of Broadband Ground Motion Parameters in Tian** Area Driven by Synthetic Database Based on Hybrid Simulated Method
This paper focuses on building a ground motion model (GMM) using artificial neural network technique driven by a synthetically generated database in...
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A Fourier series non-stationary coherency model with respect to site conditions for the horizontal component of ground motion
A Fourier series non-stationary coherency model with respect to the site conditions for the horizontal component was developed. The evolution of the...
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Ground-motion models for earthquakes occurring in the United Kingdom
This article presents models to predict median horizontal elastic response spectral accelerations for 5% dam** from earthquakes with moment...
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Conditional ground-motion model based on RVT spectral moments for converting Fourier amplitude spectra to response spectra
Standard random vibration theory (RVT) methods for estimating the horizontal spectral acceleration (PSA) amplitudes given the Fourier spectral...
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Models for topographic ground motion amplification based on finite element analyses considering topographic features and ground motions in Japan
Surface topographic irregularities can alter ground motion. In this study, we investigated the influence of various topographic factors such as...
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A non-ergodic spectral acceleration ground motion model for California developed with random vibration theory
A new approach for creating a non-ergodic pseudo-spectral acceleration ( PSA ) ground-motion model (GMM) is presented, which accounts for the magnitude...
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Physics-based parametrization of a FAS nonergodic ground motion model for Central Italy
We propose a new fully nonergodic ground motion model for Central Italy, which is one of the most sampled areas in the world after the occurrence of...
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A regionalized partially nonergodic ground-motion data driven model for low to moderate seismicity areas: using RESIF-RAP, ESM, RESORCE and NGA-West2 data
The aim of this work is to develop a regionalized partially nonergodic data driven ground-motion model (R-GMM) that provides functional forms (ffs)...
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Strong ground motion characteristics of the 2022 MW 6.6 Luding earthquake and regional variability in ground motion among three earthquake areas in Sichuan, Southwest China
This paper analyzed the strong motion characteristics based on 86 three-component strong motion records of the M W 6.6 Luding earthquake....
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The assessment of probabilistic seismic risk using ground-motion simulations via a Monte Carlo approach
Accurately characterizing ground motions is crucial for estimating probabilistic seismic hazard and risk. The growing number of ground-motion models,...
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A far-field ground motion prediction model for interface earthquakes at the hill zone of Mexico City
This study presents an updated attenuation model to predict the peak ground acceleration (PGA), peak ground velocity (PGV), 5% damped pseudo-spectral...