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Description
  • The present paper outlines an application of genetic algorithm based strategies to a class of optimization tasks associated with the design of steel reinforced concrete structures. In this particular case, the principal design objective is to minimize the total cost of a structure. The resulting structure, however, should not only be marked with a low price but also comply with all strength and serviceability requirements for a given level of the applied load. To solve such a complex optimization problem with a number constraints calls for an efficient and yet reliable optimization technique. Here, the problem is addressed with the help of the augmented simulated annealing method. As an example, a simple continuous steel reinforced beam is analyzed to assess applicability of the proposed approach.
  • The present paper outlines an application of genetic algorithm based strategies to a class of optimization tasks associated with the design of steel reinforced concrete structures. In this particular case, the principal design objective is to minimize the total cost of a structure. The resulting structure, however, should not only be marked with a low price but also comply with all strength and serviceability requirements for a given level of the applied load. To solve such a complex optimization problem with a number constraints calls for an efficient and yet reliable optimization technique. Here, the problem is addressed with the help of the augmented simulated annealing method. As an example, a simple continuous steel reinforced beam is analyzed to assess applicability of the proposed approach. (en)
Title
  • New Approach to Optimization of Reinforced Concrete Beams
  • New Approach to Optimization of Reinforced Concrete Beams (en)
skos:prefLabel
  • New Approach to Optimization of Reinforced Concrete Beams
  • New Approach to Optimization of Reinforced Concrete Beams (en)
skos:notation
  • RIV/68407700:21110/03:01092574!RIV/2004/MSM/211104/N
http://linked.open.../vavai/riv/strany
  • 1957 ; 1966
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA103/97/P040), Z(MSM 210000003)
http://linked.open...iv/cisloPeriodika
  • 18-19
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 617800
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/03:01092574
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • RC beam; genetic algorithm; optimization; reinforcement design; simulated annealing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [8780153F7B10]
http://linked.open...i/riv/nazevZdroje
  • Computers and Structures
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 81
http://linked.open...iv/tvurceVysledku
  • Lepš, Matěj
  • Šejnoha, Michal
http://linked.open...n/vavai/riv/zamer
issn
  • 0045-7949
number of pages
http://localhost/t...ganizacniJednotka
  • 21110
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