A genetic algorithm approach to the minimum cost design of reinforced concrete flanged beams under multiple loading conditions

Hdl Handle:
http://hdl.handle.net/10545/582933
Title:
A genetic algorithm approach to the minimum cost design of reinforced concrete flanged beams under multiple loading conditions
Authors:
Ceranic, Boris; Fryer, Colin
Abstract:
This paper presents results of the application of genetic algorithms to the minimum cost design of continuous beams cast in situ with reinforced concrete slabs to form an integral structure. A practical “problem-seeks-optimum design” approach requires full consideration of these rigidly jointed beam-and-slab connections, together with realistic multiple loading conditions and limit states as embodied in British and European Codes of Practice. The fitness function includes the cost of concrete, longitudinal and shear reinforcement, and the cost of formwork and labour. Results obtained so far have shown that genetic algorithms can be successfully applied to the minimum cost design of flanged beams, overcoming the difficulties associated with the discontinuity of the design equations and their complex inter-relationship with the design variables.
Affiliation:
University of Derby
Citation:
Ceranic, B. and Fryer, C., (1998), ‘A Genetic Algorithm Approach to the Minimum Cost Design of Reinforced Concrete Flanged Beams under Multiple Loading Conditions’, Proc.of International Australasian Conference on Structural Optimisation, Sydney, Australia, pp. 71-78
Journal:
Proc.of International Australasian Conference on Structural Optimisation, Sydney, Australia, pp. 71-78
Issue Date:
Sep-2008
URI:
http://hdl.handle.net/10545/582933
Type:
Article
Language:
en
Appears in Collections:
The Built Environment Research Group (BERG)

Full metadata record

DC FieldValue Language
dc.contributor.authorCeranic, Borisen
dc.contributor.authorFryer, Colinen
dc.date.accessioned2015-11-30T14:02:40Zen
dc.date.available2015-11-30T14:02:40Zen
dc.date.issued2008-09en
dc.identifier.citationCeranic, B. and Fryer, C., (1998), ‘A Genetic Algorithm Approach to the Minimum Cost Design of Reinforced Concrete Flanged Beams under Multiple Loading Conditions’, Proc.of International Australasian Conference on Structural Optimisation, Sydney, Australia, pp. 71-78en
dc.identifier.urihttp://hdl.handle.net/10545/582933en
dc.description.abstractThis paper presents results of the application of genetic algorithms to the minimum cost design of continuous beams cast in situ with reinforced concrete slabs to form an integral structure. A practical “problem-seeks-optimum design” approach requires full consideration of these rigidly jointed beam-and-slab connections, together with realistic multiple loading conditions and limit states as embodied in British and European Codes of Practice. The fitness function includes the cost of concrete, longitudinal and shear reinforcement, and the cost of formwork and labour. Results obtained so far have shown that genetic algorithms can be successfully applied to the minimum cost design of flanged beams, overcoming the difficulties associated with the discontinuity of the design equations and their complex inter-relationship with the design variables.en
dc.language.isoenen
dc.subjectGenetic algorithmsen
dc.subjectReinforced concrete continuous beamsen
dc.subjectMultiple loading conditionsen
dc.titleA genetic algorithm approach to the minimum cost design of reinforced concrete flanged beams under multiple loading conditionsen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProc.of International Australasian Conference on Structural Optimisation, Sydney, Australia, pp. 71-78en
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