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OPTIMIZATION OF THE BOX SECTION OF THE SINGLE-GIRDER BRIDGE CRANE BY GRG ALGORITHM ACCORDING TO DOMESTIC STANDARDS AND EUROCODES

Authors: Pavlovic, Goran; Kvrgić, Vladimir; Mitrovic, Stefan; Savković, Mile; Zdravković, Nebojša B.;

OPTIMIZATION OF THE BOX SECTION OF THE SINGLE-GIRDER BRIDGE CRANE BY GRG ALGORITHM ACCORDING TO DOMESTIC STANDARDS AND EUROCODES

Abstract

The paper considers the problem of optimization of the box section of the main girder of the single-girder bridge crane. Reduction of the area of the box cross section is set as the objective function. The algorithm of generalized reduced gradient (GRG2 algorithm) was used as the methodology for determination of optimum geometrical parameters of the box section. The criteria of permissible stresses, local stability of plates, lateral stability of the girder, static deflection, dynamic stiffness, minimum plate thickness and production feasibility (distance between the webs) were applied as the constraint functions. Verification of the used methodology was carried out through numerical examples and the comparison with some existing solutions of cranes was made. The comparative optimization results show changes of the box section optimum geometric values due to domestic standards or eurocodes.

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Serbia
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Keywords

single-girder bridge crane, box section, eurocodes, GRG2 algorithm, optimization

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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