Design of laminated cylinder using genetic algorithm

• Autorzy: Tabakov P. Y.
• Języki publikacji: EN

Abstrakty

EN

An approach for the optimal design of thick laminated cylindrical pressure vessels is given. The maximum burst pressure is computed using an exact elasticity solution and subject to the Tsai-Wu failure criterion. The design method is based on an accurate 3-D stress analysis. Exact elasticity solutions are obtained using the stress function approach where the radial, circumferential and shear stresses are determined taking the closed ends of the cylindrical shell into account. Design of multilayered composite pressure vessels is based on the use of an improved genetic algorithm. This approach is highly efficient for many classes of engineering problems. The proposed selection of the best individuals and localized search makes the search more effective and rapidly improves the fitness value from generation to generation. Both continuous and discrete design variables are considered, and a comparative analysis of the performance of the algorithm is studied. Numerical results are given for optimum fiber orientation for both single-layered cylinder and for each layer in the case of thick and thin-walled multilayered pressure vessels.

Słowa kluczowe

EN

laminated cylinder; cylindrical pressure vessel; genetic algorithm; multilayered pressure vessel

PL

zbiornik sprężonego powietrza; zbiornik cylindryczny; zbiornik wielowarstwowy; cylinder laminowany; algorytm genetyczny

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2000
• Tom: Vol. 8, nr 2
• Strony: 7--29
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Tabakov P. Y.

• Cadence, Departament of Mechanical Engineering, Technikon Natal, P.O. Box 953, Durban 4001, South Africa

Bibliografia

• [1] Goldberg D. E., Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, MA, 1989.
• [2] Holland J. H., Adaptation in natural and artificial systems. The University of Michigan Press, Ann Arbor, MI, 1976.
• [3] Lekhnitskii S.G., Theory of elasticity of an anisotropic elastic body. Transl. by P. Fem, Holden-Day, Inc., San Francisco, 1963.
• [4] Lekhnitskii S.G., Anisotropic plates. Transl. by SW Tsai and T Cheron, Gordon and Breach, New York, 1968.
• [5] Mitinskii A.N., The stresses in a thick-walled anisotropic tube under the influence of internal and external pressures. Proc. of Institute ofEngineers and Railroad Transportation in Leningrad, 1947. (in Russian)
• [6] Mitsuo Gen and Runwei Cheng, Genetic algorithms and engineering design. John Wiley & Sons, Inc., 1997.
• [7] Tabakov P.Y., Computational and analytical modeling of composite structures based on exact and higher-order theories. PhD Thesis, University of Natal, South Africa, 1995.
• [8] Tabakov P.Y. and Walker M, An improved genetic algorithm in parametric optimization of engineering structures. Development and Practice of Artificial Intelligence Techniques. IAAMSAD, Edited by V.B. Bajic and Daohang Sha, Durban, South Africa, 1999.
• [9] Ting-Yu Chen and Chung-Jei Chen., Improvement of Simple Genetic Algorithm in Structural Design. International Journal for Numerical Methods in Engineering, 1997. 40, pp. 1323-1334.
• [10] Tsai S.W. and Wu E.M., A general theory of strength for anisotropic materials. Journal of Composite Materials, 1971. 5 , pp. 58-80.
• [11] Tsai S.W., Composites design. 3rd edition, Think Composites, Dayton, Ohio, 1987.