An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration
Abstract
Study of mechanical vibration is one of the major issues in engineering applications. Especially, during the design and test stages of a mechanical component or system, vibration must be considered. When a vibration issue is studied theoretically, a differential equation called characteristics equation or equation of motion (EOM) is obtained. A solution of EOM gives vibrational behavior of an object considered. When vibration of a continuous system is studied, a transcendental equation is finally obtained, whose solution by classical methods is not possible. In this study, the solution of the transcendental equation which is derived from the longitudinal vibration of a bar with one end fixed and a mass at the other end was presented. For this purpose, an ANN model was constructed and the datasets were created for the ANN model. The effects of the number of neurons, input data, and training function on the model were examined. In addition, multiple regression models were developed using the ANN data also natural frequency formulation was obtained by ANN analysis for each mode. A finite element modal analysis was performed by ANSYS software. The results obtained by ANN and ANSYS were compared with analytic calculation and it was shown that they were in enough agreement.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Gözde Rabia Aktaş
*
This is me
0000-0002-6087-3837
Türkiye
Abdullah Emul
*
0000-0002-8151-9343
Türkiye
Sadettin Orhan
*
0000-0002-9751-6665
Türkiye
Publication Date
April 30, 2019
Submission Date
December 27, 2018
Acceptance Date
February 20, 2019
Published in Issue
Year 2019 Volume: 24 Number: 1
Cited By
İzotropik Plakaların Regressif Topluluk Öğrenmesi Kullanarak Serbest Titreşim Analizi
European Journal of Science and Technology
https://doi.org/10.31590/ejosat.1135944