Improved ANN for Damage Identification in Laminated Composite Plate: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Improved ANN for Damage Identification in Laminated Composite Plate

Slimani, Mohand / Tiachacht, Samir / Behtani, Amar / Khatir, Tawfiq / Khatir, Samir / Benaissa, Brahim / Riahi, Mohamed Kamel

This paper presents an improved Artificial Neural Network (ANN) for structural health monitoring of composite materials. Simply supported three-ply $(0^{\circ} 90^{\circ} 0^{\circ})$ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left[ {0^\circ \,\,90^\circ \,\,0^\circ } \right]$$\end{document} square laminated plate modeled with a 9 × 9 grid is provided and validated based on the literature review. Modal strain energy change ratio (MSE_cr) is used to localize the damaged elements and eliminate the healthy elements. Next, improved ANN using the Arithmetic optimization algorithm (AOA) used for structural quantification. AOA aims to optimize the parameters of ANN for better training. Several scenarios are considered to test the accuracy of the presented approach. The results showed that the approach can localize and quantify the damage correctly.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Improved ANN for Damage Identification in Laminated Composite Plate

Slimani, Mohand / Tiachacht, Samir / Behtani, Amar / Khatir, Tawfiq / Khatir, Samir / Benaissa, Brahim / Riahi, Mohamed Kamel

This paper presents an improved Artificial Neural Network (ANN) for structural health monitoring of composite materials. Simply supported three-ply $(0^{\circ} 90^{\circ} 0^{\circ})$ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left[ {0^\circ \,\,90^\circ \,\,0^\circ } \right]$$\end{document} square laminated plate modeled with a 9 × 9 grid is provided and validated based on the literature review. Modal strain energy change ratio (MSE_cr) is used to localize the damaged elements and eliminate the healthy elements. Next, improved ANN using the Arithmetic optimization algorithm (AOA) used for structural quantification. AOA aims to optimize the parameters of ANN for better training. Several scenarios are considered to test the accuracy of the presented approach. The results showed that the approach can localize and quantify the damage correctly.

Improved ANN for Damage Identification in Laminated Composite Plate

Slimani, Mohand / Tiachacht, Samir / Behtani, Amar / Khatir, Tawfiq / Khatir, Samir / Benaissa, Brahim / Riahi, Mohamed Kamel

This paper presents an improved Artificial Neural Network (ANN) for structural health monitoring of composite materials. Simply supported three-ply $(0^{\circ} 90^{\circ} 0^{\circ})$ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left[ {0^\circ \,\,90^\circ \,\,0^\circ } \right]$$\end{document} square laminated plate modeled with a 9 × 9 grid is provided and validated based on the literature review. Modal strain energy change ratio (MSE_cr) is used to localize the damaged elements and eliminate the healthy elements. Next, improved ANN using the Arithmetic optimization algorithm (AOA) used for structural quantification. AOA aims to optimize the parameters of ANN for better training. Several scenarios are considered to test the accuracy of the presented approach. The results showed that the approach can localize and quantify the damage correctly.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Improved ANN for Damage Identification in Laminated Composite Plate

Additional title:

Lecture Notes in Civil Engineering

Contributors:

Capozucca, Roberto (editor) / Khatir, Samir (editor) / Milani, Gabriele (editor) / Slimani, Mohand (author) / Tiachacht, Samir (author) / Behtani, Amar (author) / Khatir, Tawfiq (author) / Khatir, Samir (author) / Benaissa, Brahim (author) / Riahi, Mohamed Kamel (author)

Conference:

International Conference of Steel and Composite for Engineering Structures ; 2022 ; Ancona, Italy

Published in:

Proceedings of the International Conference of Steel and Composite for Engineering Structures ; Chapter: 15 ; 186-198

Lecture Notes in Civil Engineering ; 317

Publication date:

2023-01-31

Size:

13 pages

ISBN:

978-3-031-24041-6 , 978-3-031-24040-9

ISSN:

2366-2565 , 2366-2557

DOI:

https://doi.org/10.1007/978-3-031-24041-6_15

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Artificial intelligence , Inverse problem , Damage detection , Structural quantification , Metaheuristic optimization Engineering , Building Materials , Structural Materials , Mechanical Engineering

Similar titles

Vibration-based damage identification in laminated composite beams

Ručevskis, Sandris / Wesolowski, Miroslaw / Čate, Andris | Online Contents | 2009

Damage analysis of the laminated plate

Sara, Yamani / Ahmed, Sahli / Sara, Sahli | British Library Online Contents | 2016

An Application of Localized Flexibility Method to Damage Identification in CFRP Laminated Plate

Aoki, Y. / Byon, O. I. | British Library Online Contents | 2000

Application of Wave Propagation Analysis for Damage Identification in Composite Laminated Beams

Lestari, W. / Qiao, P. | British Library Online Contents | 2005

Damage modelling for a laminated ceramic composite

Gasser, A. / Ladeveze, P. / Peres, P. | British Library Online Contents | 1998