Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel
This work devoted to an ellipsoidal head of pressure vessel under internal pressure load. The analysis is aimed at finding an optimum weight of ellipsoidal head of pressure vessel due to maximum working pressure that ensures its full charge with stresses by using imperialist competitive algorithm an...
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my.utm.470802019-03-31T08:31:37Z http://eprints.utm.my/id/eprint/47080/ Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel Abdi, Behzad Mozafari, Hamid Amran, Ayob Kohandel, Roya TJ Mechanical engineering and machinery This work devoted to an ellipsoidal head of pressure vessel under internal pressure load. The analysis is aimed at finding an optimum weight of ellipsoidal head of pressure vessel due to maximum working pressure that ensures its full charge with stresses by using imperialist competitive algorithm and genetic algorithm. In head of pressure vessel the region of its joint with the cylindrical shell is loaded with shear force and bending moments. The load causes high bending stresses in the region of the joint. Therefore, imperialist competitive algorithm was used here to find the optimum shape of a head with minimum weight and maximum working pressure which the shear force and the bending moment moved toward zero. Two different size ellipsoidal head examples are selected and studied. The imperialist competitive algorithm results are compared with the genetic algorithm results. Scientific.Net 2012 Article PeerReviewed Abdi, Behzad and Mozafari, Hamid and Amran, Ayob and Kohandel, Roya (2012) Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel. Applied Mechanics And Materials, 110-11 . pp. 3422-3428. ISSN 1660-9336 http://dx.doi.org/10.4028/www.scientific.net/AMM.110-116.3422 DOI:10.4028/www.scientific.net/AMM.110-116.3422 |
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TJ Mechanical engineering and machinery Abdi, Behzad Mozafari, Hamid Amran, Ayob Kohandel, Roya Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
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This work devoted to an ellipsoidal head of pressure vessel under internal pressure load. The analysis is aimed at finding an optimum weight of ellipsoidal head of pressure vessel due to maximum working pressure that ensures its full charge with stresses by using imperialist competitive algorithm and genetic algorithm. In head of pressure vessel the region of its joint with the cylindrical shell is loaded with shear force and bending moments. The load causes high bending stresses in the region of the joint. Therefore, imperialist competitive algorithm was used here to find the optimum shape of a head with minimum weight and maximum working pressure which the shear force and the bending moment moved toward zero. Two different size ellipsoidal head examples are selected and studied. The imperialist competitive algorithm results are compared with the genetic algorithm results. |
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Article |
author |
Abdi, Behzad Mozafari, Hamid Amran, Ayob Kohandel, Roya |
author_facet |
Abdi, Behzad Mozafari, Hamid Amran, Ayob Kohandel, Roya |
author_sort |
Abdi, Behzad |
title |
Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
title_short |
Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
title_full |
Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
title_fullStr |
Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
title_full_unstemmed |
Imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
title_sort |
imperialist competitive algorithm for multiobjective optimization of ellipsoidal head of pressure vessel |
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Scientific.Net |
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2012 |
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http://eprints.utm.my/id/eprint/47080/ http://dx.doi.org/10.4028/www.scientific.net/AMM.110-116.3422 |
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