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Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames
ArticleAbstract: The process of ground motion selection and scaling is an integral part of hazard- and risk-consistenPalabras claves:amplitude scaling, Bayesian non-parametric, Explainability, Gaussian process regression, ground motion scaling, interpretability, Machine learning, scale factors, surrogate models, XAIAutores:Fayaz J., Medalla M., Naeim F., Pablo Torres-RodasFuentes:googlescopusA recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment
ArticleAbstract: This paper proposes a deep learning-based generalized ground motion model (GGMM) for interface and iPalabras claves:deep learning, Generalized ground motion model, long short-Term memory, Recurrent neural networks, Subduction ground motionsAutores:Fayaz J., Galasso C., Medalla M., Pablo Torres-RodasFuentes:googlescopusStrength resistance factors for seismic design of exposed based plate connections in special steel moment resisting frames
ArticleAbstract: This study presents a critical assessment of the reliability of current base plate connections in stPalabras claves:Exposed column base connections, reliability, SMRFAutores:Fayaz J., Pablo Torres-Rodas, Zareian F.Fuentes:googlescopus