Publicação

An integer programming model for truss topology optimization

Detalhes bibliográficos
Resumo:	In this paper a truss-structure model is described for finding a kinematically stable structure with optimal topology and cross-sectional size and minimum volume. The underlying model findsapplicationsinsomecivil engineering structuraldesignproblemsand takes into consideration all the conditions associated with the limit states usually presented in structural safety codes. Ultimate limit states are treated applying plasticity theory, while serviceability limit states are dealt with via elasticity theory. The admissible solution space is discretised using bar elements. A 0 − 1 variable is assigned to each one of these elements, in order to indicate if it is or not included in the solution. The mathematical formulation of the model leads to a mixed 0 1 integer nonlinear program with a nonlinear objective function and linear and bilinear constraints. It is shown that this problem can be reduced into a mixed 0 1 integer linear program by exploiting the so- called reformulation-linearization technique. Some computational experience is included to highlight the importance of these formulations in practice.
Autores principais:	Faustino,Ana M.
Outros Autores:	Júdice,Joaquim J.; Ribeiro,Isabel M.; Neves,A. Serra
Assunto:	Truss topology optimization integer programming reformulation-linearization technique
Ano:	2006
País:	Portugal
Tipo de documento:	artigo
Tipo de acesso:	acesso aberto
Instituição associada:	Fundação para a Ciência e Tecnologia
Idioma:	inglês
Origem:	SciELO Portugal

Descrição
Resumo:	In this paper a truss-structure model is described for finding a kinematically stable structure with optimal topology and cross-sectional size and minimum volume. The underlying model findsapplicationsinsomecivil engineering structuraldesignproblemsand takes into consideration all the conditions associated with the limit states usually presented in structural safety codes. Ultimate limit states are treated applying plasticity theory, while serviceability limit states are dealt with via elasticity theory. The admissible solution space is discretised using bar elements. A 0 − 1 variable is assigned to each one of these elements, in order to indicate if it is or not included in the solution. The mathematical formulation of the model leads to a mixed 0 1 integer nonlinear program with a nonlinear objective function and linear and bilinear constraints. It is shown that this problem can be reduced into a mixed 0 1 integer linear program by exploiting the so- called reformulation-linearization technique. Some computational experience is included to highlight the importance of these formulations in practice.