Dynamic Characterization Of Two Dimensional Flexible Plate Structure Using Neural Network

Mohd Azam , Roslan (2007) Dynamic Characterization Of Two Dimensional Flexible Plate Structure Using Neural Network. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

An investigation into the dynamic characterisation of a two dimensional (20 ) flexible plate structure is presented. A thin aluminum, flat plate, with all edges clamped, is considered. A simulation algorithm characterising the dynamics behavior of the plate is developed through a descretisation of the governing partial differential equation formulation of the plate dynamics using finite different methods. The algorithm is implemented within the Matlab environment, and it allows application and sensing of a disturbance signal at any mesh point on the plate. The validation of the algorithm is presented in both the time and frequency domains. Investigations reveal that the measured parameters associated with the first five resonance modes of the system compare favorably with previously reported results. Multi-Layer Perceptron Neural Network (MLP-NN) is applied to the simulation algorithm and the frrst three modes of frequency is comparing with the theoretical value that developed earlier for the validation and acceptable level of the future work

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