Artificial neural network‐based framework for developing ground‐motion models for natural and induced earthquakes in Oklahoma, Kansas, and Texas
F Khosravikia, P Clayton… - Seismological …, 2019 - pubs.geoscienceworld.org
This article puts forward an artificial neural network (ANN) framework to develop ground‐
motion models (GMMs) for natural and induced earthquakes in Oklahoma, Kansas, and …
motion models (GMMs) for natural and induced earthquakes in Oklahoma, Kansas, and …
Spectral acceleration prediction using genetic programming based approaches
Evolutionary computation (EC) is a widely used computational intelligence that facilitates the
formulation of a range of complex engineering problems. This study tackled two hybrid EC …
formulation of a range of complex engineering problems. This study tackled two hybrid EC …
Correction factors for GMMs considering site and topographic effects in South Korea
In the past five years, the local magnitude (ML) 5.8 Gyeongju and ML 5.4 Pohang
earthquakes have caused significant damage to the southeastern Korean Peninsula. To …
earthquakes have caused significant damage to the southeastern Korean Peninsula. To …
A New Model for Vertical‐to‐Horizontal Response Spectral Ratios for Central and Eastern North America
It is a well‐known fact that critical structures are required to be designed for the vertical
effects of earthquake ground motions as well as the horizontal effects. We developed a new …
effects of earthquake ground motions as well as the horizontal effects. We developed a new …
Evaluation of the applicability of ground motion models (GMMs) for South Korea
South Korea was considered a stable continental region (SCR) until the recent seismic
events, specifically the 5.5-and 5.4-magnitude earthquakes in Gyeongju and Pohang …
events, specifically the 5.5-and 5.4-magnitude earthquakes in Gyeongju and Pohang …
Merging data and experts' knowledge-based weights for ranking GMPEs
A Yazdani, MS Shahidzadeh… - Earthquake Spectra, 2021 - journals.sagepub.com
In this article, Bayes factors (BFs) are used for selecting and weighting the ground motion
prediction equations (GMPEs). BFs are defined as the posterior probability of a model being …
prediction equations (GMPEs). BFs are defined as the posterior probability of a model being …
A ground-motion prediction model for small-to-moderate induced earthquakes for Central and Eastern United States
Z Farajpour, S Pezeshk - Earthquake Spectra, 2021 - journals.sagepub.com
This study presents a new ground motion model (GMM) for small-to-moderate potentially
induced earthquakes for Central and Eastern United States (CEUS). We used a hybrid …
induced earthquakes for Central and Eastern United States (CEUS). We used a hybrid …
[图书][B] Machine-Learning-Based Models, Methods, and Software for Intensity, Vulnerability, and Risk Assessment of Central US Induced Earthquakes
F Khosravikia - 2020 - search.proquest.com
Since 2009, the Central US has been subjected to a new type of seismic hazard attributed to
human activities from the petroleum industry. Since then, there has been an increase in the …
human activities from the petroleum industry. Since then, there has been an increase in the …
Assessing predictive capability of ground‐motion models for probabilistic seismic hazard in Iran
A Farhadi, Z Farajpour… - Bulletin of the …, 2019 - pubs.geoscienceworld.org
We assessed the applicability of several ground‐motion models (GMMs) against Iran's local
data. Candidate GMMs are selected from those developed for shallow crustal regions such …
data. Candidate GMMs are selected from those developed for shallow crustal regions such …
Modeling and studying the impact of soil plasticity on the site amplification factor in ground motion prediction equations
Amplification factor is defined as the ratio of the spectral acceleration at the soil surface to
the spectral acceleration at bedrock in various periods. The effects of site conditions at the …
the spectral acceleration at bedrock in various periods. The effects of site conditions at the …