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

Journal article


Ceranic, Boris and Fryer, Colin 2008. 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.
AuthorsCeranic, Boris and 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.

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.

KeywordsGenetic algorithms; Reinforced concrete continuous beams; Multiple loading conditions
Year2008
JournalProc.of International Australasian Conference on Structural Optimisation, Sydney, Australia, pp. 71-78
Web address (URL)http://hdl.handle.net/10545/582933
hdl:10545/582933
Publication datesSep 2008
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Deposited30 Nov 2015, 14:02
ContributorsUniversity of Derby
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