2020
DOI: 10.1016/j.cma.2020.112927
|View full text |Cite
|
Sign up to set email alerts
|

Robust concurrent topology optimization of structure and its composite material considering uncertainty with imprecise probability

Abstract: This paper studied a robust concurrent topology optimization (RCTO) approach to design the structure and its composite materials simultaneously. For the first time, the material uncertainty with imprecise probability is integrated into the multi-scale concurrent topology optimization (CTO) framework. To describe the imprecise probabilistic uncertainty efficiently, the type I hybrid interval random model is adopted. An improved hybrid perturbation analysis (IHPA) method is formulated to estimate the expectation… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
2

Relationship

2
8

Authors

Journals

citations
Cited by 41 publications
(6 citation statements)
references
References 65 publications
0
6
0
Order By: Relevance
“…However, the authors used the multi-scale design approach to hierarchical lattice structures and functionally graded lattice structures, respectively. Regarding composite materials, Wu et al (2020) [271] studied the robust concurrent topology optimization (CTO [42,61,138,273]) of two-phase composite materials, using an improved hybrid perturbation analysis (IHPA) method to assess the worst performance of the structure under a random model based imprecise probability. More focused on fibre reinforced materials, Yan et al (2019) [278] presented a CTO design method which optimizes the topology of the macrostructure, the material microstructure, and the material orientation.…”
Section: Topology Optimizationmentioning
confidence: 99%
“…However, the authors used the multi-scale design approach to hierarchical lattice structures and functionally graded lattice structures, respectively. Regarding composite materials, Wu et al (2020) [271] studied the robust concurrent topology optimization (CTO [42,61,138,273]) of two-phase composite materials, using an improved hybrid perturbation analysis (IHPA) method to assess the worst performance of the structure under a random model based imprecise probability. More focused on fibre reinforced materials, Yan et al (2019) [278] presented a CTO design method which optimizes the topology of the macrostructure, the material microstructure, and the material orientation.…”
Section: Topology Optimizationmentioning
confidence: 99%
“…As typical energy absorbing structures [1][2][3][4][5][6], thin-walled beams have the advantages of light weight and high strength [7,8], and they has a wide range of applications in aircrafts, automobiles and trains. There are many factors that affect the performance of beams and tubes, including structure [9][10][11][12], cross-sectional shape [13][14][15][16][17][18][19], filling [20,21], material [22][23][24][25][26] and spot welds [27].…”
Section: Introductionmentioning
confidence: 99%
“…In a given design domain, topology optimization approaches [2,3,4,5] generate the optimal topological designs that minimize or maximize an objective function with certain design constraints. The problems solved by TO have gradually evolved from simple linear global optimization problems to localized stress problem [6], to dynamic problems [7], nonlinear problems [8], uncertainties [9], multidisciplinary integration [10] or towards large-scale problem [11], among many others. These achievements have demonstrated the potential of TO in both academic and industrial applications.…”
Section: Introductionmentioning
confidence: 99%