Structural Engineering and Mechanics

  • 제67권6호
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  • Pages.617-628
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  • 2018
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Buckling load optimization of laminated plates resting on Pasternak foundation using TLBO

  • Topal, Umut (Department of Civil Engineering, Faculty of Technology, Karadeniz Technical University) ;
  • Vo-Duy, Trung (Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University) ;
  • Dede, Tayfun (Department of Civil Engineering, Karadeniz Technical University) ;
  • Nazarimofrad, Ebrahim (Department of Civil Engineering, Bu Ali Sina University)
  • 투고 : 2018.04.17
  • 심사 : 2018.07.03
  • 발행 : 2018.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper deals with the maximization of the critical buckling load of simply supported antisymmetric angle-ply plates resting on Pasternak foundation subjected to compressive loads using teaching learning based optimization method (TLBO). The first order shear deformation theory is used to obtain governing equations of the laminated plate. In the present optimization problem, the objective function is to maximize the buckling load factor and the design variables are the fibre orientation angles in the layers. Computer programming is developed in the MATLAB environment to estimate optimum stacking sequences of laminated plates. A comparison also has been performed between the TLBO, genetic algorithm (GA) and differential evolution algorithm (DE). Some examples are solved to show the applicability and usefulness of the TLBO for maximizing the buckling load of the plate via finding optimum stacking sequences of the plate. Additionally, the influences of different number of layers, plate aspect ratios, foundation parameters and load ratios on the optimal solutions are investigated.

키워드

참고문헌

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피인용 문헌

  1. Performance of Jaya algorithm in optimum design of cold-formed steel frames vol.40, pp.6, 2021, https://doi.org/10.12989/scs.2021.40.6.795