Deep neural network-based surrogate modeling for nonlinear vibrations of functionally graded stepped beams informed by a discrete model

Abstract A discrete mechanical model for large-amplitude free vibrations of two-stepped functionally graded beams is developed in this study. The beam’s material properties vary through the thickness according to a power-law distribution between the metallic and ceramic phases. The continuous beam i...

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מידע ביבליוגרפי

Principais autores:	Anass Moukhliss, Elmahdi Ezzoubaidi, Nassima Ayoub, abdellah Amouch, ihsane tikonab, Mohcine Chajdi, Abdellatif Rahmouni, Rhali Benamar
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Springer 2026-01-01
סדרה:	Discover Mechanical Engineering
נושאים:	Discrete model Nonlinear vibrations Stepped functionally graded beam Power-law material gradation Artificial neural network (ANN)
גישה מקוונת:	https://doi.org/10.1007/s44245-025-00179-3
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