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Buckling optimization of variable stiffness cylindrical shells through artificial intelligence techniques. / Pitton, Stefano Francesco; Ricci, Sergio; Bisagni, Chiara.

In: Composite Structures, Vol. 230, 111513, 15.12.2019.

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Pitton, Stefano Francesco ; Ricci, Sergio ; Bisagni, Chiara. / Buckling optimization of variable stiffness cylindrical shells through artificial intelligence techniques. In: Composite Structures. 2019 ; Vol. 230.

BibTeX

@article{1d68d17b1b2a48b0974a98eb08cd2fe7,
title = "Buckling optimization of variable stiffness cylindrical shells through artificial intelligence techniques",
abstract = "Thin-walled cylindrical shells are nowadays widely used for principal structures in the aerospace field. Despite the capacity to sustain high levels of axial compressive loads they are also easily prone to fall into buckling. One of the methods currently studied to increase the value of the critical load associated with this phenomenon consists in the use of curvilinear fibers, through which it is possible to continuously change the stiffness, and consequently the local behavior of the structure. The paper describes an optimization methodology developed for the buckling optimization of thin-walled variable stiffness cylindrical shells subjected to axial load, together with a general fibers path formulation. The framework proposed involves a synergic work between the finite element method and artificial intelligence techniques. The optimal configuration shows an increase of the buckling load of about 4{\%} together with an increase of the pre-buckling stiffness of about 6{\%}.",
keywords = "Artificial neural networks, Buckling, Cylindrical shells, Fibers path, Particle swarm optimization, Variable stiffness",
author = "Pitton, {Stefano Francesco} and Sergio Ricci and Chiara Bisagni",
year = "2019",
month = "12",
day = "15",
doi = "10.1016/j.compstruct.2019.111513",
language = "English",
volume = "230",
journal = "Composite Structures",
issn = "0263-8223",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Buckling optimization of variable stiffness cylindrical shells through artificial intelligence techniques

AU - Pitton, Stefano Francesco

AU - Ricci, Sergio

AU - Bisagni, Chiara

PY - 2019/12/15

Y1 - 2019/12/15

N2 - Thin-walled cylindrical shells are nowadays widely used for principal structures in the aerospace field. Despite the capacity to sustain high levels of axial compressive loads they are also easily prone to fall into buckling. One of the methods currently studied to increase the value of the critical load associated with this phenomenon consists in the use of curvilinear fibers, through which it is possible to continuously change the stiffness, and consequently the local behavior of the structure. The paper describes an optimization methodology developed for the buckling optimization of thin-walled variable stiffness cylindrical shells subjected to axial load, together with a general fibers path formulation. The framework proposed involves a synergic work between the finite element method and artificial intelligence techniques. The optimal configuration shows an increase of the buckling load of about 4% together with an increase of the pre-buckling stiffness of about 6%.

AB - Thin-walled cylindrical shells are nowadays widely used for principal structures in the aerospace field. Despite the capacity to sustain high levels of axial compressive loads they are also easily prone to fall into buckling. One of the methods currently studied to increase the value of the critical load associated with this phenomenon consists in the use of curvilinear fibers, through which it is possible to continuously change the stiffness, and consequently the local behavior of the structure. The paper describes an optimization methodology developed for the buckling optimization of thin-walled variable stiffness cylindrical shells subjected to axial load, together with a general fibers path formulation. The framework proposed involves a synergic work between the finite element method and artificial intelligence techniques. The optimal configuration shows an increase of the buckling load of about 4% together with an increase of the pre-buckling stiffness of about 6%.

KW - Artificial neural networks

KW - Buckling

KW - Cylindrical shells

KW - Fibers path

KW - Particle swarm optimization

KW - Variable stiffness

UR - http://www.scopus.com/inward/record.url?scp=85073051892&partnerID=8YFLogxK

U2 - 10.1016/j.compstruct.2019.111513

DO - 10.1016/j.compstruct.2019.111513

M3 - Article

VL - 230

JO - Composite Structures

T2 - Composite Structures

JF - Composite Structures

SN - 0263-8223

M1 - 111513

ER -

ID: 62171214