Quantifying Geotechnical Uncertainty in Ground Motion Predictions: Bayesian Generalized Linear Model Framework

Quantifying Geotechnical Uncertainty in Ground Motion Predictions: Bayesian Generalized Linear Model Framework

Accurate prediction of peak ground intensity measures is inevitably influenced by geotechnical variability. Variations in soil properties, subsurface conditions, and seismic inputs introduce complexities that challenge the reliability of predictions. This study introduces a Bayesian generalized line...

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Bibliographic Details
Main Authors: Ayele Tesema Chala, Mais Mayassah, Clara Beatrice Vilceanu, Richard Ray
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/adce/6678669
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