Multi-objective optimization for lightweight design of bi-directional functionally graded beams for maximum frequency and buckling load

Faculty Engineering Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Rabab Ahmed Ali Ahmed AbuShanab
Journal: Composite Structures Elsevier Volume:
Keywords : Multi-objective optimization , lightweight design , bi-directional functionally    
Abstract:
This paper proposes a multi-objective particle swarm optimization (MOPSO) algorithm integrated with a semianalytical solution to solve optimization problems of lightweight design of bi-directional functionally graded (BDFG) beams for maximu
    
     
 
       

Author Related Publications

  • Rabab Ahmed Ali Ahmed AbuShanab, "Vibration characteristics of two-dimensional FGM nanobeams with couple stress and surface energy under general boundary conditions", Elsevier, 2021 More
  • Rabab Ahmed Ali Ahmed AbuShanab, "On bending, buckling and free vibration analysis of 2D-FG tapered Timoshenko nanobeams based on modified couple stress and surface energy theories", Taylor & Francis, 2021 More
  • Rabab Ahmed Ali Ahmed AbuShanab, "Nonlinear analysis of functionally graded nanoscale beams incorporating the surface energy and microstructure effects", Elsevier, 2017 More
  • Rabab Ahmed Ali Ahmed AbuShanab, "Non-uniform HOC scheme for the 3D convection-diffusion equation", Science Publishing group, 2013 More
  • Rabab Ahmed Ali Ahmed AbuShanab, "Vibration analysis of Euler–Bernoulli nanobeams embedded in an elastic medium by a sixth-order compact finite difference method", Elsevier, 2015 More

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