Multi-Stage Guided Stochastic Search for Optimization and Standardization of Free-Form Steel Double-Layer Grids

dc.authorid Kazemzadeh Azad, Saeid/0000-0001-9309-607X
dc.authorid Aminbakhsh, Saman/0000-0002-4389-1910
dc.authorscopusid 57193753354
dc.authorscopusid 55768552300
dc.authorscopusid 57226795442
dc.authorwosid Aminbakhsh, Saman/S-6864-2019
dc.contributor.author Azad, Saeid Kazemzadeh
dc.contributor.author Aminbakhsh, Saman
dc.contributor.author Shaban, Samer S. S.
dc.contributor.other Civil Engineering
dc.contributor.other Department of Civil Engineering
dc.date.accessioned 2024-07-05T15:19:54Z
dc.date.available 2024-07-05T15:19:54Z
dc.date.issued 2021
dc.department Atılım University en_US
dc.department-temp [Azad, Saeid Kazemzadeh; Aminbakhsh, Saman; Shaban, Samer S. S.] Atilim Univ, Dept Civil Engn, Ankara, Turkey en_US
dc.description Kazemzadeh Azad, Saeid/0000-0001-9309-607X; Aminbakhsh, Saman/0000-0002-4389-1910 en_US
dc.description.abstract There has been a growing interest in the use of free-form structures with irregularly curved yet aesthetically pleasing configurations in the recent decades. Although design optimization of regular steel grids has been well addressed in the literature of structural optimization, still limited work has been devoted to optimum design of real-size free-form grid structures. On the one hand, a main obstacle when dealing with real-size free-form steel grids is the excessive computational effort associated with contemporary evolutionary optimization algorithms. On the other hand, it is generally perceived that the obtained final designs using conventional optimization algorithms may not necessarily be favored in practice if certain provisions are not stipulated by the algorithm to preclude an abundance of distinct steel section sizes in the final design. Hence, instead of offering a single optimum or near optimum design, it would be more desirable to provide the designer or decision maker with a Pareto front set of non-dominated design alternatives taking into account both the minimum weight as well as the assortment of available steel section sizes in the final design. Accordingly, in this paper, a computationally efficient multi-stage guided stochastic search algorithm is proposed for optimization and standardization of realsize free-form steel double-layer grids. A gradual design-oriented section elimination approach is followed where in the first optimization stage, a complete set of commercially available steel sections is introduced to the algorithm and in the succeeding stages, the size of section list is reduced by eliminating the redundant sizes. Two variants of the algorithm are employed to demonstrate the usefulness of the proposed technique in challenging test examples of free-form steel double-layer grids, and the obtained Pareto fronts are plotted to illustrate the trade-off between minimum weight and assortment of steel section sizes in the final design. en_US
dc.identifier.citationcount 9
dc.identifier.doi 10.1016/j.istruc.2021.07.068
dc.identifier.endpage 699 en_US
dc.identifier.issn 2352-0124
dc.identifier.scopus 2-s2.0-85112723739
dc.identifier.startpage 678 en_US
dc.identifier.uri https://doi.org/10.1016/j.istruc.2021.07.068
dc.identifier.uri https://hdl.handle.net/20.500.14411/2032
dc.identifier.volume 34 en_US
dc.identifier.wos WOS:000701775800005
dc.identifier.wosquality Q2
dc.institutionauthor Aminbakhsh, Saman
dc.institutionauthor Azad, Saeıd Kazemzadeh
dc.language.iso en en_US
dc.publisher Elsevier Science inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 10
dc.subject Design optimization en_US
dc.subject Free-form structures en_US
dc.subject Standardization en_US
dc.subject Multi-stage guided stochastic search en_US
dc.subject Steel double-layer grids en_US
dc.subject Pareto front en_US
dc.title Multi-Stage Guided Stochastic Search for Optimization and Standardization of Free-Form Steel Double-Layer Grids en_US
dc.type Article en_US
dc.wos.citedbyCount 11
dspace.entity.type Publication
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