Free Vibration Analysis of Porous Beams via Numerical and Artificial Neural Network Approach

Abstract

The main purpose of this study is to analyze a porous beam, whose nodes are formed with a certain conditioned random function, with the numerical solution and Artificial Neural Network (ANN) approach. The free vibration frequencies of the porous beam were first calculated numerically. Then, the data of randomly generated beams were used to train the artificial intelligence module. In this context, the free vibration frequencies for any porous beam whose data is entered were predicted with the help of ANN and the obtained results were compared with numerical results. The truth is that this type of approach is thought to significantly reduce the processing load in determining the mechanical behavior of such structural elements, which we encounter in the most important fields of engineering such as mechanical engineering, civil engineering, and aviation industries. All results were visualized and explained with the help of 2D and 3D graphics.

Full text

Functionally graded and porous materials and structures
abst. 1116
TEODORICO
Friday
September 6
15h50
Free Vibration Analysis of Porous Beams Via Numerical and Artificial
Neural Network Approach
Çelik, Murat (celikmur15@itu.edu.tr), Istanbul Technical University, Turkey
Özdilek, Emin Emre (ozdilek19@itu.edu.tr), Istanbul Technical University, Turkey
Gündoğdu, Emircan (gundogdue19@itu.edu.tr), Istanbul Technical University, Turkey
Demirkan, Erol (edemirkan@itu.edu.tr), Istanbul Technical University, Turkey
The main purpose of this study is to analyze a porous beam, whose nodes are formed with a certain con-
ditioned random function, with the numerical solution and Artificial Neural Network (ANN) approach.
The free vibration frequencies of the porous beam were first calculated numerically. Then, the data of
randomly generated beams were used to train the artificial intelligence module. In this context, the free
vibration frequencies for any porous beam whose data is entered were predicted with the help of ANN
and the obtained results were compared with numerical results. The truth is that this type of approach
is thought to significantly reduce the processing load in determining the mechanical behavior of such
structural elements, which we encounter in the most important fields of engineering such as mechanical
engineering, civil engineering, and aviation industries. All results were visualized and explained with the
help of 2D and 3D graphics.
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