Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration
This research proposes a predictive model to identify changes in the mechanical and geometrical properties of composite plates with eccentric cutouts based on natural frequency. Finite elements (FE) and neural networks are used to develop the model based on machine learning. First, the numerical an...
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| Format: | Article |
| Language: | English |
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Taiwan Association of Engineering and Technology Innovation
2022-03-01
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| Series: | Advances in Technology Innovation |
| Subjects: | |
| Online Access: | https://ojs.imeti.org/index.php/AITI/article/view/8909 |
| _version_ | 1797808521325051904 |
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| author | Mohamed Rida Seba Said Kebdani |
| author_facet | Mohamed Rida Seba Said Kebdani |
| author_sort | Mohamed Rida Seba |
| collection | DOAJ |
| description |
This research proposes a predictive model to identify changes in the mechanical and geometrical properties of composite plates with eccentric cutouts based on natural frequency. Finite elements (FE) and neural networks are used to develop the model based on machine learning. First, the numerical analysis of free vibration is performed by the FE model on the laminated composite plates with a stacking sequence [0/90]2s under a clamped-free (CFFF) boundary condition. The outputs of the FE model (520 configurations) are then utilized to train the artificial neural network (ANN) model through the Levenberg-Marquardt method, and the developed ANN model is then used to evaluate the influence of various parameters on the natural frequency. The results show that the changes in the mechanical and geometrical properties of composite plates have impacts on the natural frequency. Furthermore, the findings of the ANN model are substantially identical to those of the numerical model, with a small margin of error.
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| first_indexed | 2024-03-13T06:39:53Z |
| format | Article |
| id | doaj.art-1ca3d48136b345838e3666d38ee8f44c |
| institution | Directory Open Access Journal |
| issn | 2415-0436 2518-2994 |
| language | English |
| last_indexed | 2024-03-13T06:39:53Z |
| publishDate | 2022-03-01 |
| publisher | Taiwan Association of Engineering and Technology Innovation |
| record_format | Article |
| series | Advances in Technology Innovation |
| spelling | doaj.art-1ca3d48136b345838e3666d38ee8f44c2023-06-08T18:23:37ZengTaiwan Association of Engineering and Technology InnovationAdvances in Technology Innovation2415-04362518-29942022-03-017210.46604/aiti.2022.8909Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free VibrationMohamed Rida Seba0Said Kebdani1Applied Mechanics Laboratory, Faculty of Mechanical Engineering, University of Science and Technology Oran Mohamed-Boudiaf, Oran, AlgeriaApplied Mechanics Laboratory, Faculty of Mechanical Engineering, University of Science and Technology Oran Mohamed-Boudiaf, Oran, Algeria This research proposes a predictive model to identify changes in the mechanical and geometrical properties of composite plates with eccentric cutouts based on natural frequency. Finite elements (FE) and neural networks are used to develop the model based on machine learning. First, the numerical analysis of free vibration is performed by the FE model on the laminated composite plates with a stacking sequence [0/90]2s under a clamped-free (CFFF) boundary condition. The outputs of the FE model (520 configurations) are then utilized to train the artificial neural network (ANN) model through the Levenberg-Marquardt method, and the developed ANN model is then used to evaluate the influence of various parameters on the natural frequency. The results show that the changes in the mechanical and geometrical properties of composite plates have impacts on the natural frequency. Furthermore, the findings of the ANN model are substantially identical to those of the numerical model, with a small margin of error. https://ojs.imeti.org/index.php/AITI/article/view/8909artificial neural networkfree vibrationfinite element modelcutoutnatural frequency |
| spellingShingle | Mohamed Rida Seba Said Kebdani 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 artificial neural network free vibration finite element model cutout natural frequency |
| title | Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration |
| title_full | Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration |
| title_fullStr | Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration |
| title_full_unstemmed | Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration |
| title_short | Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration |
| title_sort | finite element and neural network based predictive model to determine natural frequency of laminated composite plates with eccentric cutouts under free vibration |
| topic | artificial neural network free vibration finite element model cutout natural frequency |
| url | https://ojs.imeti.org/index.php/AITI/article/view/8909 |
| work_keys_str_mv | AT mohamedridaseba finiteelementandneuralnetworkbasedpredictivemodeltodeterminenaturalfrequencyoflaminatedcompositeplateswitheccentriccutoutsunderfreevibration AT saidkebdani finiteelementandneuralnetworkbasedpredictivemodeltodeterminenaturalfrequencyoflaminatedcompositeplateswitheccentriccutoutsunderfreevibration |