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

Department Related Publications

  • Hany Samih Bayoumi Ibrahim, "Passive and active controllers for suppressing the torsional vibration of multiple-degree-of-freedom system", Sage, 2014 More
  • Rodyna Ahmed Mahmoud, "More Properties on Continuous Multifunctions", American Scientific Publishers, 2018 More
  • Rodyna Ahmed Mahmoud, "G+-algebra, filters and upper sets", Natural Sciences Publishing Cor., 2016 More
  • Reda Saleh Tantawy, "Proton and antiproton impact excitation of H(2s) atom Reda S. Tantawi and A. Nagah", Can. J. Phys. 93: 1360–1364 (2015) dx.doi.org/10.1139/cjp-2015-0045, 2015 More
  • Khalid Mahmoud Hashim Bassiouni, "Optimization Neural Network for Blind Signal Separation Using an Adaptive Weibull Distribution", Georgian Electronic Scientific Journal, 2007 More
Tweet