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Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory

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Main Authors: M.H. Mokhtaram, M.A. Mohd Noor, M.Z. Jamil Abd Nazir, D. Ahmad, M.K Marwah, H. Hamid, A.Y. Mohd Yassin
Other Authors: mokhtazul@unisel.edu.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2022
Subjects:
Structure Damage Detection
Artificial Neural Network
Inverse Frequency
Kirchhoff Plate Theory
Finite Element Method
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74383
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spelling my.unimap-743832022-02-18T07:19:16Z Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory M.H. Mokhtaram M.A. Mohd Noor M.Z. Jamil Abd Nazir D. Ahmad M.K Marwah H. Hamid A.Y. Mohd Yassin mokhtazul@unisel.edu.my Structure Damage Detection Artificial Neural Network Inverse Frequency Kirchhoff Plate Theory Finite Element Method Link to publisher's homepage at https://amci.unimap.edu.my/ Nowadays, several different structural damage detection techniques are being developed with the goal of monitoring structure stability with high accuracy and low cost. One of the well-known techniques is inverse analysis based on model updating methods. However, the main challenges in this technique is the development of algorithms that assist in the processing of the enormous amounts of data for the inverse process. To overcome this, the Artificial Neural Network (ANN) has been used by many researchers to complement existing approaches. The integration of model updating methods and ANN requires not only a wealth of knowledge and experience in structural damage detection, but also appropriate numerical techniques, and proficiency in scripting programming languages. In this paper, the objective is to construct the formulation of structural damage detection using inverse analysis incorporating Artificial Neural Network (ANN) for Kirchhoff plate theory and to establish the source code. The output from the process is stiffness reduction ratio (SRF) while natural frequencies and mode shape as input data. Finite element method (FEM) was used in generating the formulation. The source code of the formulation has been written step-by-step and kept as simple as possible in Matrix Laboratory (Matlab) programming language. The performance of the formulation is verified against numerical work based on simulated damaged. The presented result shows that, this formulation exhibits excellent performance thus highly potential for damage detection of the plate structure. 2022-02-18T07:19:16Z 2022-02-18T07:19:16Z 2021-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.10(1), 2021, pages 1-17 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74383 https://amci.unimap.edu.my/ en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Structure Damage Detection
Artificial Neural Network
Inverse Frequency
Kirchhoff Plate Theory
Finite Element Method
spellingShingle Structure Damage Detection
Artificial Neural Network
Inverse Frequency
Kirchhoff Plate Theory
Finite Element Method
M.H. Mokhtaram
M.A. Mohd Noor
M.Z. Jamil Abd Nazir
D. Ahmad
M.K Marwah
H. Hamid
A.Y. Mohd Yassin
Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 mokhtazul@unisel.edu.my
author_facet mokhtazul@unisel.edu.my
M.H. Mokhtaram
M.A. Mohd Noor
M.Z. Jamil Abd Nazir
D. Ahmad
M.K Marwah
H. Hamid
A.Y. Mohd Yassin
format Article
author M.H. Mokhtaram
M.A. Mohd Noor
M.Z. Jamil Abd Nazir
D. Ahmad
M.K Marwah
H. Hamid
A.Y. Mohd Yassin
author_sort M.H. Mokhtaram
title Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
title_short Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
title_full Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
title_fullStr Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
title_full_unstemmed Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
title_sort damage detection formulation using inverse frequency analysis incorporating artificial neural network for kirchhoff plate theory
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74383
_version_ 1729704764021669888
score 13.222552

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