Optimization on Elastoplasticity of Functionally Graded Shells of Revolution under Axisymmetric Loading

Depending on the load level, structures can experience a material nonlinearity known as elastoplasticity, which has an important role in the behaviour of structures. In order to avoid the elastoplastic behaviour, it is necessary to find the optimal thickness distribution, which corresponds to the mi...

Full description

Bibliographic Details
Main Authors: Araújo, A.L (Author), Franco Correia, V. (Author), Herskovits, J. (Author), Simões Moita, J. (Author), Soares, C.M (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:View Fulltext in Publisher
View in Scopus
Description
Summary:Depending on the load level, structures can experience a material nonlinearity known as elastoplasticity, which has an important role in the behaviour of structures. In order to avoid the elastoplastic behaviour, it is necessary to find the optimal thickness distribution, which corresponds to the minimum mass that provides an elastic behaviour for a certain load level. The elastoplasticity analysis of functionally graded axisymmetric shells under axisymmetric mechanical loading, and the subsequent optimization, was performed by using a simple conical frustum finite element model with two nodal circles; three degrees of freedom per node, which was based on Kirchhoff’s theory allowing for shear deformation; and using a reduced numerical integration procedure that is essential for its success when applied to thin shells. The formulation accounts for the calculation of the displacements and through-thickness stress distribution, including the effective stress. In this work, the thickness was the design variable in the optimization procedure and the mass was the objective function that needed to be minimized subject to a constraint imposed on the effective stress. The optimization solutions were obtained by using a feasible arc interior point gradient-based algorithm. Some illustrative examples were performed, and the corresponding results are presented and discussed. © 2023 by the authors.
ISBN:20763417 (ISSN)
DOI:10.3390/app13095325