Total Potential Optimization Using Hybrid Metaheuristics: A Tunnel Problem Solved via Plane Stress Members

Basit Öğe Kaydı
dc.contributor.authorToklu Y.C.
dc.contributor.authorBekdaş G.
dc.contributor.authorKayabekir A.E.
dc.contributor.authorNigdeli S.M.
dc.contributor.authorYücel M.
dc.date.accessioned2024-03-13T10:01:04Z
dc.date.available2024-03-13T10:01:04Z
dc.date.issued2021
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractTotal Potential Optimization using Metaheuristic Algorithms (TPO/MA) is an alternative structural analysis method starting with the same principles of the Finite Element Method (FEM). In TPO/MA as in FEM, the structure at hand is divided into finite parts. In these parts, if FEM is to be used, the equilibrium equations are written in a matrix form in local coordinates, then they are combined to give a matrix equation valid for the totality of the structure. The final step is solving this matrix equation to find the displacements in the structure. On the other hand, in TPO/MA, potential energies of the elements are written, then they are summed for the totality of the structure, yielding a functional to be minimized to find the equilibrium position according to the minimum potential energy principle. This minimization gives the displacements of the structure. That is why this method can also be called Finite Element Method with Energy Minimization (FEMEM). FEM is very efficient for linear systems, but for nonlinear systems the matrix obtained depends on material properties, displacements, and loads, i.e. it is not constant and may be ill-conditioned. This makes solutions difficult and sometimes impossible. It has been shown in the literature that TPO/MA can overcome these difficulties much more easily, and can solve problems that cannot be solved by FEM. In this study, TPO/MA is applied to tunnel problems with plane stress properties. Minimization process is applied to several metaheuristic algorithms and hybrid ones, which are then compared with each other as to accuracy and precision. © 2021, Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-61848-3_8
dc.identifier.endpage236en_US
dc.identifier.issn2198-4182
dc.identifier.scopus2-s2.0-85097397307en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage221en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-61848-3_8
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2961
dc.identifier.volume326en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Systems, Decision and Controlen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFinite element method with energy minimizationen_US
dc.subjectFlower pollination algorithmen_US
dc.subjectHarmony searchen_US
dc.subjectHybrid algorithmsen_US
dc.subjectPlane stress analysisen_US
dc.subjectTotal potential optimization using metaheuristic algorithmsen_US
dc.titleTotal Potential Optimization Using Hybrid Metaheuristics: A Tunnel Problem Solved via Plane Stress Membersen_US
dc.typeBook Chapteren_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu