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Genetic optimization of stiffened plates and shells
Author(s) -
Marcelin J. L.
Publication year - 2001
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.193
Subject(s) - ritz method , artificial neural network , finite element method , genetic algorithm , backpropagation , shell (structure) , computer science , mathematical optimization , optimization problem , global optimization , structural engineering , engineering , algorithm , mathematics , artificial intelligence , mechanical engineering , mathematical analysis , boundary value problem
This work gives two examples of application of stochastic techniques for the optimization of stiffened plates or shells. The research strategy consists in substituting, for finite‐element calculations in the optimization process, an approximate response of a neural network, or an approximate response from the Ritz method. More precisely, the paper describes the use of a backpropagation neural network or the Ritz method in creating function approximations for use in computationally intensive design optimization based on genetic algorithms. Two examples of applications are presented; the first one deals with the optimization of stiffeners on a plate by varying their positions, while having well‐defined dimensions; the second example deals with the optimization of a thin shell subject to buckling. Copyright © 2001 John Wiley & Sons, Ltd.