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Information Journal Paper

Title

TWO-OBJECTIVE STACKING SEQUENCE OPTIMIZATION OF A CYLINDRICAL SHELL USING GENETIC ALGORITHM

Pages

  499-506

Keywords

Not Registered.

Abstract

 In this paper, the stacking sequence optimization of a laminated cylindrical shell has been studied for obtaining maximum natural frequency and buckling stress, simultaneously. An anisotropic cylindrical shell has a finite length with simply supported conditions at both ends. Three-dimensional elasticity approaches are used for free vibration analysis and the buckling stress function is based on the theory of classic shells. A genetic algorithm is used for optimization and, regarding the two-objective problem, a Pareto-optimally curve is used to help determine the best way to simultaneously satisfy all objectives. Finally, numerical results are presented for the optimization of a six-layer cylindrical shell.

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    Cite

    APA: Copy

    YAS, M.H., GHASEMI GOL, M., & SHAKERI, M.. (2007). TWO-OBJECTIVE STACKING SEQUENCE OPTIMIZATION OF A CYLINDRICAL SHELL USING GENETIC ALGORITHM. SCIENTIA IRANICA, 14(5), 499-506. SID. https://sid.ir/paper/289553/en

    Vancouver: Copy

    YAS M.H., GHASEMI GOL M., SHAKERI M.. TWO-OBJECTIVE STACKING SEQUENCE OPTIMIZATION OF A CYLINDRICAL SHELL USING GENETIC ALGORITHM. SCIENTIA IRANICA[Internet]. 2007;14(5):499-506. Available from: https://sid.ir/paper/289553/en

    IEEE: Copy

    M.H. YAS, M. GHASEMI GOL, and M. SHAKERI, “TWO-OBJECTIVE STACKING SEQUENCE OPTIMIZATION OF A CYLINDRICAL SHELL USING GENETIC ALGORITHM,” SCIENTIA IRANICA, vol. 14, no. 5, pp. 499–506, 2007, [Online]. Available: https://sid.ir/paper/289553/en

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