Optimization of the box-girder of overhead crane with constrained new bat algorithm Asma Chakri, Rabia Khelif & Mohamed Benouaret

Numéro de la revue: 35
Auteurs:  Asma Chakri, Rabia Khelif &  Mohamed Benouaret

Industrial Mechanics Laboratory, Department of Mechanical Engineering, University Badji Mokhtar of Annaba (UBMA), BP12-23000, Annaba, Algeria.

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Abstract

An optimal design for minimum weight crane girder can reduce the manufacturing and operating costs. The box-girder is modeled as a simply supported beam, and the constrained optimization problem was formulated with cross-section area of the box-girder as objective function, and restrictions on plates’ stress, fatigue, buckling and allowable deflection. The resulted problem is solved with constrained new bat algorithm. Four modifications have been embedded to the standard bat algorithm to increase its performances, and the level of comparison was introduced so that the new bat algorithm can handle constraints. Results show that the constrained new bat algorithm is efficient, robust and reliable and the obtained optimal crane dimensions are better than those they exist in the literature. The use of higher strength steel leads to a mass saving up to 30%.

Keywords: Overhead crane – Box-girder – New bat algorithm -level of comparison –  Higher strength steel.