Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames

Article

Abstract: The process of ground motion selection and scaling is an integral part of hazard- and risk-consisten

Palabras claves:

amplitude scaling, Bayesian non-parametric, Explainability, Gaussian process regression, ground motion scaling, interpretability, Machine learning, scale factors, surrogate models, XAI

Autores:

Fayaz J., Medalla M., Naeim F., Pablo Torres-Rodas

Fuentes:

google

scopus