Cargando…
Identification of Mode Shapes of a Composite Cylinder Using Convolutional Neural Networks
The aim of the following paper is to discuss a newly developed approach for the identification of vibration mode shapes of multilayer composite structures. To overcome the limitations of the approaches based on image analysis (two-dimensional structures, high spatial resolution of mode shapes descri...
Autores principales: | Miller, Bartosz, Ziemiański, Leonard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197459/ https://www.ncbi.nlm.nih.gov/pubmed/34070310 http://dx.doi.org/10.3390/ma14112801 |
Ejemplares similares
-
Detection of Material Degradation of a Composite Cylinder Using Mode Shapes and Convolutional Neural Networks
por: Miller, Bartosz, et al.
Publicado: (2021) -
Optimization of Dynamic and Buckling Behavior of Thin-Walled Composite Cylinder, Supported by Nature-Inspired Agorithms
por: Miller, Bartosz, et al.
Publicado: (2020) -
Multi-Objective Optimization of Thin-Walled Composite Axisymmetric Structures Using Neural Surrogate Models and Genetic Algorithms
por: Miller, Bartosz, et al.
Publicado: (2023) -
Modeling and Experimental Study for Online Measurement of Hydraulic Cylinder Micro Leakage Based on Convolutional Neural Network
por: Guo, Yuan, et al.
Publicado: (2019) -
Mode charts for magnetized ferrite cylinders
por: Schieblich, C
Publicado: (1989)