Araştırma Makalesi

An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration

Cilt: 24 Sayı: 1 30 Nisan 2019
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An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration

Öz

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.

 

Anahtar Kelimeler

Kaynakça

  1. Akgöz B. and Civalek, Ö. (2013) “Longitudinal vibration analysis of strain gradient bars made of functionally graded materials,” Compos B Eng. 2013, vol. 55, pp. 263-268. doi:10.1016/j.compositesb.2013.06.035
  2. Avcar, M. (2010) “Free vibration of randomly and continuously non- homogenous beams with clamped edges resting on elastic foundation,” J Eng Sci Des. 2010, vol.1, pp. 33-38.
  3. Avcar, M. (2014) “Free vibration analysis of beams considering different geometric characteristics and boundary condition,” Int. Appl. Mech., vol.4, pp. 94-100.doi: 10.5923/j.mechanics.20140403.03
  4. Avcar, M., Saplıoğlu, K. (2015) “An Artificial Neural Network Application for Estimation of Natural Frequencies of Beams”, International Journal of Advanced Computer Science and Applications, Vol. 6, No. 6. doi:10.14569/IJACSA.2015.060614
  5. Bagdatli, S. M., Özkaya, E. Özyiğit, H. A. and Tekin, A. (2009) "Nonlinear vibrations of stepped beam systems using artificial neural networks," Struct Eng Mech., vol. 33, pp.15-30. doi:10.1177%2F1077546312463760
  6. Civalek, Ö. (2008) “Free vibration analysis of symmetrically laminated composite plates with first-order shear deformation theory (FSDT), by discrete singular convolution method,”Finite Elem Anal Des. 2008, vol. 44, pp. 725-731. doi: 10.1016/j.finel.2008.04.001
  7. Civalek, Ö. and Gürses, M. (2009) “Free vibration analysis of rotating cylindrical shells using discrete singular convolution technique,” Int J Pres Ves Pip. 2009, vol. 86, pp. 677-683. doi: 10.1016/j.ijpvp.2009.03.011
  8. Çalışkan, M. (1993) “Modal analysis and numerical solutions of multi-degree-of-freedom vibration systems,” Graduate thesis, Trabzon.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Nisan 2019

Gönderilme Tarihi

27 Aralık 2018

Kabul Tarihi

20 Şubat 2019

Yayımlandığı Sayı

Yıl 2019 Cilt: 24 Sayı: 1

Kaynak Göster

APA
Aktaş, G. R., Emul, A., & Orhan, S. (2019). An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 24(1), 161-170. https://doi.org/10.17482/uumfd.504170
AMA
1.Aktaş GR, Emul A, Orhan S. An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration. UUJFE. 2019;24(1):161-170. doi:10.17482/uumfd.504170
Chicago
Aktaş, Gözde Rabia, Abdullah Emul, ve Sadettin Orhan. 2019. “An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 24 (1): 161-70. https://doi.org/10.17482/uumfd.504170.
EndNote
Aktaş GR, Emul A, Orhan S (01 Nisan 2019) An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 24 1 161–170.
IEEE
[1]G. R. Aktaş, A. Emul, ve S. Orhan, “An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration”, UUJFE, c. 24, sy 1, ss. 161–170, Nis. 2019, doi: 10.17482/uumfd.504170.
ISNAD
Aktaş, Gözde Rabia - Emul, Abdullah - Orhan, Sadettin. “An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 24/1 (01 Nisan 2019): 161-170. https://doi.org/10.17482/uumfd.504170.
JAMA
1.Aktaş GR, Emul A, Orhan S. An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration. UUJFE. 2019;24:161–170.
MLA
Aktaş, Gözde Rabia, vd. “An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, c. 24, sy 1, Nisan 2019, ss. 161-70, doi:10.17482/uumfd.504170.
Vancouver
1.Gözde Rabia Aktaş, Abdullah Emul, Sadettin Orhan. An Artificial Neural Network (ANN) Approach for Solution of the Transcendental Equation of Longitudinal Vibration. UUJFE. 01 Nisan 2019;24(1):161-70. doi:10.17482/uumfd.504170

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