Optimum Design of Composite Concrete Floors Using a Hybrid Genetic Algorithm

Sahab, MG; Toropov, VV; Gandomi, AH

Optimum Design of Composite Concrete Floors Using a Hybrid Genetic Algorithm

Sahab, MG Toropov, VV Gandomi, AH

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Handbook of Neural Computation, 2017, pp. 581-589
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Sahab, MG
dc.contributor.author	Toropov, VV
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2023-01-18T03:17:29Z
dc.date.available	2023-01-18T03:17:29Z
dc.date.issued	2017-01-01
dc.identifier.citation	Handbook of Neural Computation, 2017, pp. 581-589
dc.identifier.isbn	9780128113189
dc.identifier.uri	http://hdl.handle.net/10453/165098
dc.description.abstract	Composite steel-concrete floors are used commonly in bridge decks and as story floors in different kind of buildings. This paper presents optimal design of composite floors consisting of steel joists and a concrete slab on the top of them. The slab thickness, typical joist spacing, and the standard steel section size of joists are considered as design variables. The objective function is the cost of unit area of composite floor including cost of materials and labors for reinforcement, concrete, formwork and steel joists. AISC-ASD89 and EURO-4 (EN 1994) code provisions are considered to define design constraints. A hybrid algorithm based on a modified genetic algorithm is implemented to solve the optimization problem. The effect of many design parameters such as unit cost of materials and characteristic strength of concrete on the optimum solution is investigated using a practical design example.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Handbook of Neural Computation
dc.relation.isbasedon	10.1016/B978-0-12-811318-9.00031-4
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Optimum Design of Composite Concrete Floors Using a Hybrid Genetic Algorithm
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-18T03:17:28Z
pubs.publication-status	Published

Abstract:

Composite steel-concrete floors are used commonly in bridge decks and as story floors in different kind of buildings. This paper presents optimal design of composite floors consisting of steel joists and a concrete slab on the top of them. The slab thickness, typical joist spacing, and the standard steel section size of joists are considered as design variables. The objective function is the cost of unit area of composite floor including cost of materials and labors for reinforcement, concrete, formwork and steel joists. AISC-ASD89 and EURO-4 (EN 1994) code provisions are considered to define design constraints. A hybrid algorithm based on a modified genetic algorithm is implemented to solve the optimization problem. The effect of many design parameters such as unit cost of materials and characteristic strength of concrete on the optimum solution is investigated using a practical design example.

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http://hdl.handle.net/10453/165098