Structural Engineering and Mechanics

  • 제34권2호
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  • Pages.159-174
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  • 2010
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Using FEM and artificial networks to predict on elastic buckling load of perforated rectangular plates under linearly varying in-plane normal load

  • Sonmez, Mustafa (Department of Civil Engineering, Faculty of Engineering, Aksaray University) ;
  • Aydin Komur, M. (Department of Civil Engineering, Faculty of Engineering, Aksaray University)
  • 투고 : 2008.08.05
  • 심사 : 2009.10.28
  • 발행 : 2010.01.30
⟨ 이전 논문 다음 논문 ⟩

초록

Elastic buckling load of perforated steel plates is typically predicted using the finite element or conjugate load/displacement methods. In this paper an artificial neural network (ANN)-based formula is presented for the prediction of the elastic buckling load of rectangular plates having a circular cutout. By using this formula, the elastic buckling load of perforated plates can be calculated easily without setting up an ANN platform. In this study, the center of a circular cutout was chosen at different locations along the longitudinal x-axis of plates subjected to linearly varying loading. The results of the finite element method (FEM) produced by the commercial software package ANSYS are used to train and test the network. The accuracy of the proposed formula based on the trained ANN model is evaluated by comparing with the results of different researchers. The results show that the presented ANN-based formula is practical in predicting the elastic buckling load of perforated plates without the need of an ANN platform.

키워드

참고문헌

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피인용 문헌

  1. Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams vol.11, pp.3, 2013, https://doi.org/10.12989/cac.2013.11.3.237