Title :
Optimal location of supports in beam structures using genetic algorithms
Author :
Loureiro, Diogenes ; Loja, Maria A. R. ; Silva, Tiago A. N.
Author_Institution :
Res. Group on Modeling & Optimization of Multifunctional Syst., ISEL - Inst. Super. de Eng. de Lisboa, Lisbon, Portugal
fDate :
July 30 2014-Aug. 1 2014
Abstract :
Real structures can be thought as an assembly of components, as for instances plates, shells and beams. This later type of component is very commonly found in structures like frames which can involve a significant degree of complexity or as a reinforcement element of plates or shells. To obtain the desired mechanical behavior of these components or to improve their operating conditions when rehabilitating structures, one of the eventual parameters to consider for that purpose, when possible, is the location of the supports. In the present work, a beam-type structure is considered, and for a set of cases concerning different number and types of supports, as well as different load cases, the authors optimize the location of the supports in order to obtain minimum values of the maximum transverse deflection. The optimization processes are carried out using genetic algorithms. The results obtained, clearly show a good performance of the approach proposed.
Keywords :
beams (structures); genetic algorithms; maintenance engineering; plates (structures); shells (structures); structural engineering computing; supports; beam structures; complexity degree; components assembly; frames; genetic algorithms; load cases; maximum transverse deflection; mechanical behavior; operating conditions; optimal location; optimization processes; plates; real structures; rehabilitating structures; reinforcement element; shells; supports location; Complexity theory; beam deflection curve; genetic algorithms; structural analysis; structural optimization; universal equations;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2014 Sixth World Congress on
Conference_Location :
Porto
Print_ISBN :
978-1-4799-5936-5
DOI :
10.1109/NaBIC.2014.6921894