Modeling peak ground acceleration for earthquake hazard safety evaluation

Abstract This paper presents a ground motion prediction (GMP) model using an artificial neural network (ANN) for shallow earthquakes, aimed at improving earthquake hazard safety evaluation. The proposed model leverages essential input variables such as moment magnitude, fault type, epicentral distan...

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Bibliographic Details
Main Authors: Fatima Khalid, Milad Razbin
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-82171-7
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