Reliability-based optimal design of truss structures using particle swarm optimization

Dimou, CK; Koumousis, VK

dc.contributor.author	Dimou, CK	en
dc.contributor.author	Koumousis, VK	en
dc.date.accessioned	2014-03-01T01:31:47Z
dc.date.available	2014-03-01T01:31:47Z
dc.date.issued	2009	en
dc.identifier.issn	0887-3801	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19929
dc.subject	Optimization	en
dc.subject	Particles	en
dc.subject	Reliability	en
dc.subject	Trusses	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Civil	en
dc.subject.other	Control theory	en
dc.subject.other	Design	en
dc.subject.other	Optical communication	en
dc.subject.other	Optimal systems	en
dc.subject.other	Optimization	en
dc.subject.other	Particle swarm optimization (PSO)	en
dc.subject.other	Reliability	en
dc.subject.other	Shape optimization	en
dc.subject.other	Structural optimization	en
dc.subject.other	Trusses	en
dc.subject.other	Uncertainty analysis	en
dc.subject.other	Yield stress	en
dc.subject.other	Analytical expressions	en
dc.subject.other	Bar truss	en
dc.subject.other	Codes of practices	en
dc.subject.other	Critical stress	en
dc.subject.other	Cross sections	en
dc.subject.other	Cross-sectional areas	en
dc.subject.other	Design spaces	en
dc.subject.other	Design variables	en
dc.subject.other	Entire systems	en
dc.subject.other	Optimal designs	en
dc.subject.other	Optimization frameworks	en
dc.subject.other	Optimization problems	en
dc.subject.other	Optimization schemes	en
dc.subject.other	Particle swarm optimization methods	en
dc.subject.other	Particle swarms	en
dc.subject.other	Particles	en
dc.subject.other	Problem parameters	en
dc.subject.other	Random parameters	en
dc.subject.other	Reliability indexes	en
dc.subject.other	Series systems	en
dc.subject.other	Social behaviors	en
dc.subject.other	Specific designs	en
dc.subject.other	Stochastic manners	en
dc.subject.other	Structural elements	en
dc.subject.other	Structural optimization problems	en
dc.subject.other	Truss structures	en
dc.subject.other	Structural design	en
dc.title	Reliability-based optimal design of truss structures using particle swarm optimization	en
heal.type	journalArticle	en
heal.identifier.primary	10.1061/(ASCE)0887-3801(2009)23:2(100)	en
heal.identifier.secondary	http://dx.doi.org/10.1061/(ASCE)0887-3801(2009)23:2(100)	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	In this work, the particle swarm optimization method is employed for the reliability-based optimal design of statically determinate truss structures. Particle swarm optimization is inspired by the social behavior of flocks (swarms) of birds and insects (particles). Every particle's position represents a specific design. The algorithm searches the design space by adjusting the trajectories of the particles that comprise the swarm. These particles are attracted toward the positions of both their personal best solution and the best solution of the swarm in a stochastic manner. In typical structural optimization problems, safety is dealt with in a yes/no manner fulfilling the set of requirements imposed by codes of practice. Considering uncertainty for the problem parameters offers a measure to quantify safety. This measure provides a rational basis for the estimation of the reliability of the components and of the entire system. Incorporating the reliability into the structural optimization framework one can seek a reliability-based optimal design. For the problems examined herein, the reliability indexes of the structural elements are obtained from analytical expressions. The structure is subsequently analyzed as a series system of correlated elements and the Ditlevsen bounds are used for the calculation of its reliability index. The uncertain-random parameters considered in this work are the load, the yield-critical stress; and the cross sections of the elements. The considered design variables of the optimization problem are the cross-sectional areas of the groups, which control the size of the truss, and the heights and lengths that control the shape of the truss. The results of the optimization are presented for a 25-bar truss and a 30-bar arch and the robustness of the optimization scheme is discussed. © 2009 ASCE.	en
heal.publisher	ASCE-AMER SOC CIVIL ENGINEERS	en
heal.journalName	Journal of Computing in Civil Engineering	en
dc.identifier.doi	10.1061/(ASCE)0887-3801(2009)23:2(100)	en
dc.identifier.isi	ISI:000263406700006	en
dc.identifier.volume	23	en
dc.identifier.issue	2	en
dc.identifier.spage	100	en
dc.identifier.epage	109	en