Deep learning enhanced metamodel design based on reduced mode shapes for delamination identification in composite structures
Author:
Affiliation:
1. Mechanical Engineering Institute, Federal University of Itajubá (UNIFEI), Itajubá, Brazil
Funder
the Brazilian agency CNPq
CAPES
FAPEMIG
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15376494.2024.2302921
Reference23 articles.
1. A Summary Review of Vibration-Based Damage Identification Methods
2. A Review of Vibration Based Inverse Methods for Damage Detection and Identification in Mechanical Structures Using Optimization Algorithms and ANN
3. Development of scanning damage index for the damage detection of plate structures using modal strain energy method
4. Crack detection in beams using changes in frequencies and amplitudes of frequency response functions
5. An estimate of the location of multiple delaminations on aeronautical CFRP plates using modal data inverse problem
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2. Predictive modeling of buckling in composite tubes: Integrating artificial neural networks for damage detection;Mechanics of Advanced Materials and Structures;2024-08-02
3. Delamination and crack detection and localization of a laminated composite plate structure using regression and regression-based neural network methods;Mechanics Based Design of Structures and Machines;2024-05-17
4. Understanding and mitigating delamination in composite materials: A comprehensive review;Mechanics of Advanced Materials and Structures;2024-04
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