Discrete variable optimization of frames using a strain energy criterion

Makris, PA; Provatidis, CG; Rellakis, DA

dc.contributor.author	Makris, PA	en
dc.contributor.author	Provatidis, CG	en
dc.contributor.author	Rellakis, DA	en
dc.date.accessioned	2014-03-01T01:24:00Z
dc.date.available	2014-03-01T01:24:00Z
dc.date.issued	2006	en
dc.identifier.issn	1615-147X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17162
dc.subject	frame structures	en
dc.subject	structural optimization	en
dc.subject	virtual strain energy density	en
dc.subject	finite element method (FEM)	en
dc.subject	discrete variables	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mechanics	en
dc.subject.other	STRUCTURAL OPTIMIZATION	en
dc.subject.other	GENETIC ALGORITHMS	en
dc.subject.other	OPTIMAL-DESIGN	en
dc.subject.other	TRUSSES	en
dc.title	Discrete variable optimization of frames using a strain energy criterion	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s00158-005-0588-z	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s00158-005-0588-z	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper reports on recent advances concerning a new method for the weight (discrete variable) optimization of frames under both stress and multi-displacement constraints using a criterion based on the distribution of the virtual strain energy density. The proposed methodology is based on an idea that has been previously demonstrated and successfully applied on truss structures. The influence of each participating beam is defined through properly normalized sensitivity factors. An iterative formula, similar to that used for trusses, is proposed for updating the second moment of inertia followed by an improvement of shape variables (e.g. height, width, thickness) on the cross-section. The proposed method is successfully compared with the sequential quadratic programming method and other techniques published in the most recent literatures.	en
heal.publisher	SPRINGER	en
heal.journalName	STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION	en
dc.identifier.doi	10.1007/s00158-005-0588-z	en
dc.identifier.isi	ISI:000242612000009	en
dc.identifier.volume	31	en
dc.identifier.issue	5	en
dc.identifier.spage	410	en
dc.identifier.epage	417	en