Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures

Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures

Abstract Nondestructive evaluation (NDE) of aerospace structures plays a crucial role in their successful operation under harsh environments. Most NDE methods, however, lack real-time in-situ predictive capabilities of evolving damage and are conducted in a post-mortem manner. This paper proposes a...

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Bibliographic Details
Main Authors: Somnath Ghosh, Saikat Dan, Preetam Tarafder
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Piezoelectric composite
Multiscale PUCCDM model
Electromechanical-damage coupling
Representative aggregated microstructural parameters (RAMPs)
ConvLSTM
Online Access:https://doi.org/10.1038/s41598-025-91196-5
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https://doi.org/10.1038/s41598-025-91196-5

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