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In the present study, analytical expressions for critical loads are derived and eigenvalue and post buckling analyses are performed on the panels, using the finite element method, and the commercial software ABAQUS. A genetic algorithm is used for optimization of sandwich panels with periodic, open-cell cores. Yielding and buckling in components are treated as optimization constraints. Then minimum weights for some load capacities are determined. Design variables and cost function are defined as non-dimensional and optimal results are shown by diagrams.
Rocznik
Tom
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949--964
Opis fizyczny
Bibliogr. 6 poz., rys., tab., wykr.
Twórcy
Bibliografia
- Alitavoli M., Nariman-Zadeh N. and Khalkhali A. (2006): Multi-objective optimization of mechanical properties of abrasive flow machining processes using polynomial neural networks and genetic algorithms. - Int. J. Machining Science and Technology, vol.10, pp.491-510.
- Allen H.G. and Bulson P.S. (1980): Background to Buckling. - London: McGraw-Hill.
- Atashkari K., Nariman-Zadeh N., Khalkhali A. and Jamali A. (2007): Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms. - Int. J. Energy Conversion and Management, vol.48, No.3, pp.1029-1041.
- Goldberg D.E. (1989): Genetic Algorithms in Search, Optimization, and Machine learning. - New York: Addison-Wesley.
- Haydn N.G. Wadley, Norman A. Fleck and Anthony G. Evans (2003): Fabrication and structural performance of periodic cellular metal sandwich structures. - Int. J. Composites Science and Technology, vol.63, No.16, pp.2331-2334.
- Lu T.J., Hutchinson J.W. and Evans A.G. (2001): Optimal design of a flexural actuator. - Int. J. the Mechanics and Physics of Solids, vol.49, pp.2071-2093.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BPZ5-0003-0004