Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11423
Title: Optimization of the box section of the main girder of the single-girder bridge crane by applying biologically inspired algorithms
Authors: Savković, Mile
Bulatovic, Radovan
Gašić, Milomir
Pavlovic G.
Stepanović A.
Journal: Engineering Structures
Issue Date: 1-Oct-2017
Abstract: © 2017 Elsevier Ltd The paper considers the problem of optimization of the box section of the main girder of the single-girder bridge crane. Reduction of the girder mass is set as the objective function. The constraint functions are the criteria of strength, local stability of plates, lateral stability of the girder, stiffness, dynamic stiffness, as well the constraints of cost effective design. Methods of the following biologically inspired algorithms were used for the optimization: Firefly Algorithm (FA), Bat Algorithm (BA) and Cuckoo Search algorithm (CS). The obtained results of optimization were compared with several solutions of single-girder bridge cranes, which verified the optimization method. The paper presents the advantages and weaknesses of the methods applied to the concrete solutions of single-girder bridge cranes.
URI: https://scidar.kg.ac.rs/handle/123456789/11423
Type: Article
DOI: 10.1016/j.engstruct.2017.07.004
ISSN: 01410296
SCOPUS: 85021775215
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo
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