1995
DOI: 10.1016/0263-8223(94)00042-5
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A discrete model for the optimal design of thin composite plate-shell type structures using a two-level approach

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Cited by 28 publications
(17 citation statements)
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“…By using restart and post-processing structural analysis results, a sensitivity analysis formulation based on the variational or Lagrangian approach can also be efficiently developed and implemented (tIaug et al 1986;Mota Soares and Leal 1992). This last formulation is advantageous when the source code is not available.…”
Section: Dz I 26x Imentioning
confidence: 98%
“…By using restart and post-processing structural analysis results, a sensitivity analysis formulation based on the variational or Lagrangian approach can also be efficiently developed and implemented (tIaug et al 1986;Mota Soares and Leal 1992). This last formulation is advantageous when the source code is not available.…”
Section: Dz I 26x Imentioning
confidence: 98%
“…Stacking sequence optimization of laminated cylindrical shells for buckling and free vibration using genetic algorithm and neural networks have been investigated by Gharib and Shakeri (2010). Mota Soares et al (1995) researched the sensitivity analysis of the optimization of general thin shell structures made of composite materials. Chern and Chao (2000) studied the natural frequencies of laminates in spherical, cylindrical, planed, and curved panel geometries by a three-dimensional theory.…”
Section: Laminated Cylindrical Shellsmentioning
confidence: 99%
“…Locating the globally optimal material design with a local search algorithm is almost a hopeless enterprise. For this reason, many researchers preferred global search algorithms like genetic algorithms (Soremekun et al, 2001;Todoroki & Tetsuya, 2004;Kang & Kim, 2005), simulated annealing algorithm (Soares et al, 1995;Jayatheertha et al, 1996;Sciuva et al, 2003;Correia et al, 2003;Erdal & Sonmez, 2005;Moita et al, 2006;Akbulut & Sonmez, 2008), improving hit-and run (Savic et al, 2001). …”
Section: Composites Optimizationmentioning
confidence: 99%