Applying deep learning and wavelet transform for predicting the vibration behavior in variable thickness skew composite plates with intermediate elastic support-Reference-Cited by-同舟云学术

Applying deep learning and wavelet transform for predicting the vibration behavior in variable thickness skew composite plates with intermediate elastic support

Published:2021-02-06 Issue: Volume: Page:
ISSN:1392-8716
Container-title:Journal of Vibroengineering
language:
Short-container-title:J. vibroeng.

Author:

Altabey Wael A.

Publisher

JVE International Ltd.

Subject

Mechanical Engineering,General Materials Science

Link

https://www.jvejournals.com/article/21480/pdf

Reference48 articles.

1. A fatigue damage model for FRP composite laminate systems based on stiffness reduction;Zhao;Structural Durability and Health Monitoring,2019

2. Reliability evaluation of a laminate composite plate under distributed pressure using a hybrid response surface method;Zhao;International Journal of Reliability, Quality and Safety Engineering,2017

3. Fatigue life prediction for carbon fibre/epoxy laminate composites under spectrum loading using two different neural network architectures;Altabey;International Journal of Sustainable Materials and Structural Systems (IJSMSS),2017

4. Identification of cracks in an Euler-Bernoulli beam using bayesian inference and closed-form solution of vibration modes;Wang;Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications,2020

5. An exact solution for mechanical behavior of BFRP Nano-thin films embedded in NEMS;Altabey;Advances in Nano Research,2017

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vibration analysis of Ti-SiC composite airfoil blade based on machine learning;Engineering Analysis with Boundary Elements;2024-10

2. A comprehensive study of a long-term creep thermo-mechanical fatigue behavior monitoring of BFRP composite pipeline using electrical capacitance sensors and deep learning algorithm;International Journal of Fatigue;2024-07

3. A machine learning approach for investigation of the natural frequency of a nitinol-reinforced composite beam;Engineering Research Express;2023-12-15

4. Analysis of Natural Vibration Characteristics of Metal Roof Panel of Large-Span Standing-Seam Metal Roof System;Buildings;2023-11-14

5. A deep-learning approach for predicting water absorption in composite pipes by extracting the material’s dielectric features;Engineering Applications of Artificial Intelligence;2023-05