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Vibration of beams with unconventional boundary conditions using artificial neural network

Hassanpour Asl, P ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1115/detc2005-84948
  3. Publisher: American Society of Mechanical Engineers , 2005
  4. Abstract:
  5. The vibration of a simply-supported beam with rotary springs at either ends is studied. The governing equations of motion are investigated considering the nonlinear effect of stretching. These equations are made non-dimensional and solved to the first-order approximation using the two known methods, namely, the multiple scales and the mode summation. The first five natural frequencies of the beam for different pairs of the boundary condition parameters are evaluated. A multilayer feed-forward back-propagation artificial neural network is trained using these natural frequencies. The artificial neural network used in this study shows high degree of accuracy for the natural frequency of the beam with general pairs of the boundary condition parameters. Copyright © 2005 by ASME
  6. Keywords:
  7. Backpropagation ; Beams and girders ; Boundary conditions ; Equations of motion ; Feedforward neural networks ; Parameter estimation ; Boundary condition parameters ; First-order approximation ; Nonlinear effect ; Rotary springs ; Vibrations (mechanical)
  8. Source: DETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Long Beach, CA, 24 September 2005 through 28 September 2005 ; Volume 1 A , 2005 , Pages 159-165 ; 0791847381 (ISBN); 9780791847381 (ISBN)
  9. URL: https://ieeexplore.ieee.org/abstract/document/1626878