Prediction of Natural Frequency of Laminated Composite Plates Using Artificial Neural Networks

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"Prediction of Natural Frequency of Laminated Composite Plates Using Artificial Neural Networks"
written by Mutra Raja Sekhara Reddy, Bathini Sidda Reddy, Vanguru Nageswara Reddy, Surisetty Sreenivasulu,
published by Engineering, Vol.4 No.6, 2012

has been cited by the following article(s):

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[4]	A Comprehensive Review on High-Fidelity and Metamodel-Based Optimization of Composite Laminates
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[6]	Evaluation, optimization and prediction of the transverse shear modulus of biomimetic 3D printed sandwich core
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[8]	Damped Free Vibration Analysis of Woven Glass Fiber-Reinforced Epoxy Composite Laminates
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[9]	A Prediction Model for Natural Frequencies on Kevlar/Glass Hybrid Laminated Composite using Artificial Neural Networks (ANN)
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[11]	Performance Analysis of Radial Basis Function Metamodels for Predictive Modelling of Laminated Composites
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[12]	Free vibration of functionally-graded porous cracked plates
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[13]	Prediction of Natural Frequency of Composite Plates with Non-canonical Shape Using Convolutional Neural Networks
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[14]	Prediction of physical and Mechanical Properties of aluminum metal matrix composite Using Artificial Neural Networks
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[15]	Estimation the Natural Frequencies of a Cracked Shaft Based on Finite Element Modeling and Artificial Neural Network
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[16]	Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level …
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[18]	Analytical Study on Strengthening of RC Tee Beams with Composite Materials by ANSYS Software
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[20]	Prediction of the natural frequency of cantilever beamsUsing artificial neural networks
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[21]	NON-LINEAR FINITE ELEMENT ANALYSIS OF REINFORCED CONCRETE (RC) BEAMS STRENGTHENED WITH CARBON FIBER REINFORCED POLYMER …
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[23]	Study on effect of layup angles on Vibration of Glass Fiber Reinforced Polymer (GFRP) Plate
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[24]	Estimation of natural frequencies of symmetrically laminatedplates with all edges clamped using neural networks
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[25]	Estimation of natural frequencies of symmetrically laminated plates with all edges clamped using neural networks
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[26]	A Review: GFRP Plate Effect of Layup Angles on Vibration
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[27]	Cantilever Beam Natural Frequency Prediction Using Artificial Neural Networks
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[28]	Free Vibration Analysis of Stiffened Laminated Composite Plates
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[29]	Uncertainty quantification in natural frequency of composite plates-An Artificial neural network based approach
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[30]	Uncertainty quantification in natural frequency of composite plates: an artificial neural network based approach
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[31]	Determination of Volume Fraction of a Glass Fibre/Matrix Composite Plate using Vibration Analysis
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[34]	Large amplitude vibration prediction of rectangular plates by an optimal artificial neural network (ANN)
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[35]	Prediction of Deflection and Stresses of Laminated Composite Plate with an Artificial Neural Network Aid
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[1]	Evaluation, optimization and prediction of the transverse shear modulus of biomimetic 3D printed sandwich core Mechanics of Advanced Materials and Structures, 2024 DOI:10.1080/15376494.2022.2124332

[2]	Natural frequency prediction of functionally graded graphene-reinforced nanocomposite plates using ensemble learning and support vector machine models Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2023 DOI:10.1177/09544062221126641

[3]	A Nonlinear Free Vibration Analysis of Functionally Graded Beams Using a Mixed Finite Element Method and a Comparative Artificial Neural Network Journal of Composites Science, 2023 DOI:10.3390/jcs7060229

[4]	Advances in Multidisciplinary Analysis and Optimization Lecture Notes in Mechanical Engineering, 2023 DOI:10.1007/978-981-19-3938-9_29

[5]	Evaluation, optimization and prediction of the transverse shear modulus of biomimetic 3D printed sandwich core Mechanics of Advanced Materials and Structures, 2022 DOI:10.1080/15376494.2022.2124332

[6]	Natural frequency prediction of functionally graded graphene-reinforced nanocomposite plates using ensemble learning and support vector machine models Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022 DOI:10.1177/09544062221126641

[7]	Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration Advances in Technology Innovation, 2022 DOI:10.46604/aiti.2022.8909

[8]	Response of Balanced Laminate Subjected to Abrupt Heat Flux: A New Perspective The Scientific World Journal, 2022 DOI:10.1155/2022/9491939

[9]	A Comprehensive Review on High-Fidelity and Metamodel-Based Optimization of Composite Laminates Archives of Computational Methods in Engineering, 2022 DOI:10.1007/s11831-021-09699-z

[10]	Damped Free Vibration Analysis of Woven Glass Fiber-Reinforced Epoxy Composite Laminates Advances in Materials Science and Engineering, 2022 DOI:10.1155/2022/6980996

[11]	İzotropik Plakaların Regressif Topluluk Öğrenmesi Kullanarak Serbest Titreşim Analizi European Journal of Science and Technology, 2022 DOI:10.31590/ejosat.1135944

[12]	Performance Analysis of Radial Basis Function Metamodels for Predictive Modelling of Laminated Composites Materials, 2021 DOI:10.3390/ma14123306

[13]	Prediction of Natural Frequency of Composite Plates with Non-canonical Shape Using Convolutional Neural Networks 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek), 2020 DOI:10.1109/KhPIWeek51551.2020.9250110

[14]	Free vibration of functionally-graded porous cracked plates Structures, 2020 DOI:10.1016/j.istruc.2020.10.059

[15]	Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses Neural Computing and Applications, 2019 DOI:10.1007/s00521-019-04280-z

[16]	Influence of aspect ratios on vibration and bending of composite laminates Materials Today: Proceedings, 2019 DOI:10.1016/j.matpr.2019.06.186

[17]	Uncertainty Quantification in Natural Frequency of Composite Plates - An Artificial Neural Network Based Approach Advanced Composites Letters, 2016 DOI:10.1177/096369351602500203

[18]	Laminated Composites Buckling Analysis Using Lamination Parameters, Neural Networks and Support Vector Regression Latin American Journal of Solids and Structures, 2015 DOI:10.1590/1679-78251237

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