Publication:
Designing foam filled sandwich panels for blast mitigation using a hybrid evolutionary optimization algorithm

dc.contributor.authorKaren, İdris
dc.contributor.authorShukla, Arun
dc.contributor.buuauthorYazıcı, Murat
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentOtomotiv Mühendisliği Bölümü
dc.contributor.orcid0000-0002-8720-7594tr_TR
dc.contributor.researcheridM-4741-2017tr_TR
dc.contributor.scopusid7007162323tr_TR
dc.date.accessioned2022-11-21T08:33:23Z
dc.date.available2022-11-21T08:33:23Z
dc.date.issued2016-07-29
dc.description.abstractDeveloping sandwich structures with high energy absorption capability is important for shock loading applications. In the present study, a hybrid evolutionary optimization technique based on Multi-Island Genetic Algorithm and Hooke-Jeeves Algorithm is used in the design stage of the sandwich structures to obtain effective results. Optimum parameters of cell geometry were investigated using the hybrid optimization algorithm to design foam filled sandwich panels for three main boundary conditions. Shock tube experiments were conducted in order to simulate the shock load effects along with 3D and 2D finite element analysis. Using the experimental results, a simulation-based design optimization approach was prepared and used to develop the designs of new sandwich structures. Promising results were obtained for all three different boundary conditions. In the simply supported case, 21% improvement of shock absorption was achieved by using 57% less volume of foam with respect to the original fully foam filled sandwich panel. In the clamped-clamped case, 16% improvement of shock absorption with 52% less volume was obtained. In the rigid base case study, 6% improvement of shock absorption with 38% less volume usage was achieved. The structures developed in this study will be of use in the defense, automotive and other industries.en_US
dc.description.sponsorshipBursa Osmangazi Üniversitesi - BOU-BAP-004-20142015tr_TR
dc.identifier.citationKaren, İ. vd. (2016). "Designing foam filled sandwich panels for blast mitigation using a hybrid evolutionary optimization algorithm". Composite Structures, 158, 72-82.en_US
dc.identifier.endpage82tr_TR
dc.identifier.issn0263-8223
dc.identifier.issn1879-1085
dc.identifier.scopus2-s2.0-84988353739tr_TR
dc.identifier.startpage72tr_TR
dc.identifier.urihttps://doi.org/10.1016/j.compstruct.2016.07.081
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0263822316313782
dc.identifier.urihttp://hdl.handle.net/11452/29511
dc.identifier.volume158tr_TR
dc.identifier.wos000386758200008
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.collaborationYurt içitr_TR
dc.relation.collaborationYurt dışıtr_TR
dc.relation.journalComposite Structuresen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.relation.tubitak2219tr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMechanicsen_US
dc.subjectMaterials scienceen_US
dc.subjectSandwich panelen_US
dc.subjectHybrid evolutionary algorithmen_US
dc.subjectBlast loadingen_US
dc.subjectCorrugated steel coreen_US
dc.subjectPolymer foam infillen_US
dc.subjectShock tubeen_US
dc.subjectDynamic-responseen_US
dc.subjectGenetic algorithmsen_US
dc.subjectCoreen_US
dc.subjectPlatesen_US
dc.subjectStrengthen_US
dc.subjectSubjecten_US
dc.subjectSystemen_US
dc.subjectBeamsen_US
dc.subjectBoundary conditionsen_US
dc.subjectFinite element methoden_US
dc.subjectHoneycomb structuresen_US
dc.subjectOptimizationen_US
dc.subjectSandwich structuresen_US
dc.subjectShape optimizationen_US
dc.subjectShock absorbersen_US
dc.subjectShock tubesen_US
dc.subjectStructural designen_US
dc.subjectCorrugated steelen_US
dc.subjectPolymer foamsen_US
dc.subjectEvolutionary algorithmsen_US
dc.subject.scopusUnderwater Explosions; Blast; Sandwich Plateen_US
dc.subject.wosMechanicsen_US
dc.subject.wosMaterials science, compositesen_US
dc.titleDesigning foam filled sandwich panels for blast mitigation using a hybrid evolutionary optimization algorithmen_US
dc.typeArticle
dc.wos.quartileQ1en_US
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Otomotiv Mühendisliği Bölümütr_TR

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: