Damage detection formulation using inverse frequency analysis incorporating Artificial Neural Network for Kirchhoff Plate Theory
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Institute of Engineering Mathematics, Universiti Malaysia Perlis
2022
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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 |
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Structure Damage Detection Artificial Neural Network Inverse Frequency Kirchhoff Plate Theory Finite Element Method |
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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 |
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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 |