Optimization of graded filleted lattice structures subject to yield and buckling constraints

To reduce the stress concentration and ensure structural safety for lattice structure designs, in this paper, a new optimization framework is developed for the optimal design of graded lattice structures, innovatively integrating fillet designs as well as yield and buckling constraints. Both relativ...

Full description

Bibliographic Details
Main Authors: Xiaoyang Wang, Lei Zhu, Liao Sun, Nan Li
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127521002999
id doaj-67b27b889e6e4ff2a658c564c97926b9
record_format Article
spelling doaj-67b27b889e6e4ff2a658c564c97926b92021-06-17T04:45:03ZengElsevierMaterials & Design0264-12752021-08-01206109746Optimization of graded filleted lattice structures subject to yield and buckling constraintsXiaoyang Wang0Lei Zhu1Liao Sun2Nan Li3The First Aircraft Institute of AVIC, Xi’an, 710089, China; Dyson School of Design Engineering, Imperial College London, London SW7 2AZ, UKDyson School of Design Engineering, Imperial College London, London SW7 2AZ, UKThe First Aircraft Institute of AVIC, Xi’an, 710089, ChinaDyson School of Design Engineering, Imperial College London, London SW7 2AZ, UK; Corresponding author.To reduce the stress concentration and ensure structural safety for lattice structure designs, in this paper, a new optimization framework is developed for the optimal design of graded lattice structures, innovatively integrating fillet designs as well as yield and buckling constraints. Both relative strut radii and fillet parameters are defined as design variables, for BCC and PC lattices. Numerical homogenization is employed to characterize the effective elastic constants and yield stresses of the lattice metamaterials. Metamaterial models are developed to represent the relationships between the metamaterial effective properties and lattice geometric variables. Yield and buckling constraints, based on modified Hill’s yield criterion as well as Euler and Johnson buckling formulae respectively, are developed as functions of lattice geometric variables. A new optimization framework is proposed with both yield and buckling constraints integrated. A case study on minimizing the compliance of a Messerschmitt-Bolkow-Blohm beam, composed of either BCC or PC lattices, is conducted. The yield and buckling constraints guarantee the structural safety of the optimized lattice beams. The optimized beams composed of filleted lattices, compared with non-filleted lattices in the corresponding type, show reduced proportions subject to high modified Hill’s stress (σHill≥0.95) with 6 ~ 7% reductions in compliance.http://www.sciencedirect.com/science/article/pii/S0264127521002999Filleted lattice structuresHomogenizationMetamaterial modelStructural optimizationYieldBuckling
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoyang Wang
Lei Zhu
Liao Sun
Nan Li
spellingShingle Xiaoyang Wang
Lei Zhu
Liao Sun
Nan Li
Optimization of graded filleted lattice structures subject to yield and buckling constraints
Materials & Design
Filleted lattice structures
Homogenization
Metamaterial model
Structural optimization
Yield
Buckling
author_facet Xiaoyang Wang
Lei Zhu
Liao Sun
Nan Li
author_sort Xiaoyang Wang
title Optimization of graded filleted lattice structures subject to yield and buckling constraints
title_short Optimization of graded filleted lattice structures subject to yield and buckling constraints
title_full Optimization of graded filleted lattice structures subject to yield and buckling constraints
title_fullStr Optimization of graded filleted lattice structures subject to yield and buckling constraints
title_full_unstemmed Optimization of graded filleted lattice structures subject to yield and buckling constraints
title_sort optimization of graded filleted lattice structures subject to yield and buckling constraints
publisher Elsevier
series Materials & Design
issn 0264-1275
publishDate 2021-08-01
description To reduce the stress concentration and ensure structural safety for lattice structure designs, in this paper, a new optimization framework is developed for the optimal design of graded lattice structures, innovatively integrating fillet designs as well as yield and buckling constraints. Both relative strut radii and fillet parameters are defined as design variables, for BCC and PC lattices. Numerical homogenization is employed to characterize the effective elastic constants and yield stresses of the lattice metamaterials. Metamaterial models are developed to represent the relationships between the metamaterial effective properties and lattice geometric variables. Yield and buckling constraints, based on modified Hill’s yield criterion as well as Euler and Johnson buckling formulae respectively, are developed as functions of lattice geometric variables. A new optimization framework is proposed with both yield and buckling constraints integrated. A case study on minimizing the compliance of a Messerschmitt-Bolkow-Blohm beam, composed of either BCC or PC lattices, is conducted. The yield and buckling constraints guarantee the structural safety of the optimized lattice beams. The optimized beams composed of filleted lattices, compared with non-filleted lattices in the corresponding type, show reduced proportions subject to high modified Hill’s stress (σHill≥0.95) with 6 ~ 7% reductions in compliance.
topic Filleted lattice structures
Homogenization
Metamaterial model
Structural optimization
Yield
Buckling
url http://www.sciencedirect.com/science/article/pii/S0264127521002999
work_keys_str_mv AT xiaoyangwang optimizationofgradedfilletedlatticestructuressubjecttoyieldandbucklingconstraints
AT leizhu optimizationofgradedfilletedlatticestructuressubjecttoyieldandbucklingconstraints
AT liaosun optimizationofgradedfilletedlatticestructuressubjecttoyieldandbucklingconstraints
AT nanli optimizationofgradedfilletedlatticestructuressubjecttoyieldandbucklingconstraints
_version_ 1721374527619858432