Chapter

Recent Advances in Swarm Intelligence and Evolutionary Computation

Volume 585 of the series Studies in Computational Intelligence pp 283-300

Date:

Geometrically Nonlinear Analysis of Trusses Using Particle Swarm Optimization

  • Rasim TemürAffiliated withDepartment of Civil Engineering, Faculty of Engineering, Istanbul University
  • , Yusuf Sait TürkanAffiliated withOpen and Distance Education Faculty, Istanbul University
  • , Yusuf Cengiz TokluAffiliated withDepartment of Civil Engineering, Faculty of Engineering, Bilecik Seyh Edebali University Email author 

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Particle swarm optimization (PSO) algorithm is a heuristic optimization technique based on colony intelligence, developed through inspiration from social behaviors of bird flocks and fish schools. It is widely used in problems in which the optimal value of an objective function is searched. Geometrically nonlinear analysis of trusses is a problem of this kind. The deflected shape of the truss where potential energy value is minimal is known to correspond to the stable equilibrium position of the system analyzed. The objective of this study is to explore the success of PSO using this minimum total potential energy principle, in finding good solutions to geometrically nonlinear truss problems. For this purpose analyses are conducted on three structures, two plane trusses and a space truss. The results obtained show that in case of using 20 or more particles, PSO produces very good and robust solutions.

Keywords

Particle swarm optimization Structural analysis Truss systems Nonlinear analysis Potential energy TPO/MA