A data driven methodology for upscaling remaining useful life predictions: From single- to multi-stiffened composite panels

A data driven methodology for upscaling remaining useful life predictions: From single- to multi-stiffened composite panels

In this paper we execute a complex test campaign to develop a novel methodology for the Remaining Useful Life (RUL) estimation of complex multi-stiffened composite aeronautical panels utilizing Machine Learning models trained with Structural Health Monitoring (SHM) data from hierarchically simpler e...

Full description

Bibliographic Details
Main Authors: Georgios Galanopoulos, Efthimios Fytsilis, Nan Yue, Agnes Broer, Dimitrios Milanoski, Dimitrios Zarouchas, Theodoros Loutas
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Composites Part C: Open Access
Subjects:
Structural health monitoring
Composite structures
Stiffened panels
Compression fatigue
Fiber optical sensors
Health Indicators
Online Access:http://www.sciencedirect.com/science/article/pii/S2666682023000221

Similar Items

Similar Items