Prediction of influences of size and locations of delamination on dynamic characteristics of laminated composite plate using particle swarm optimization and artificial neural network-Reference-Cited by-同舟云学术

Prediction of influences of size and locations of delamination on dynamic characteristics of laminated composite plate using particle swarm optimization and artificial neural network

Published:2022-04-28 Issue:6 Volume:43 Page:3398-3411
ISSN:0272-8397
Container-title:Polymer Composites
language:en
Short-container-title:Polymer Composites

Author:

K Arun Kumar¹^ORCID,Arumugam Ananda Babu²,D Mallikarjuna Reddy¹^ORCID,P Edwin Sudhagar¹^ORCID,P Anbumani²,Kassa Mesfin Kebede³,Agarwal Daksh⁴

Affiliation:

1. Department of Design and Automation SMEC, Vellore Institute of Technology Vellore India

2. Department of Mechanical Engineering Sharda University Noida India

3. Kombolcha Institute of Technology Wollo University Dessie Ethiopia

4. Department of Materials Science and Engineering University of Pennsylvania & Lam Research Corporation Fremont California USA

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,General Chemistry,Ceramics and Composites

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pc.26624

Reference23 articles.

1. Investigating the Effect of Delamination Size, Stacking Sequences and Boundary Conditions on The Vibration Properties of Carbon Fiber Reinforced Polymer Composite

2. Natural vibration-induced parametric excitation in delaminated Kirchhoff plates

3. Delamination Assessment of Multilayer Composite Plates Using Model-based Neural Networks

4. Artificial neural network based delamination prediction in laminated composites

5. Bending Analysis of Classical Symmetric Laminated Composite Plates by the Strip Element Method

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