The University of Southampton
University of Southampton Institutional Repository

Multiscale concurrent topology optimization for cellular structures with multiple microstructures subjected to dynamic load

Multiscale concurrent topology optimization for cellular structures with multiple microstructures subjected to dynamic load
Multiscale concurrent topology optimization for cellular structures with multiple microstructures subjected to dynamic load
Topology optimization is an effective tool to perform the structure-material integrated design of a lattice structure with multiple microstructures for improving its mechanical performances. This paper aims to propose the concurrent design method for the lattice structure at both macro- and micro-scales considering the connectivity between neighboring microstructures for the dynamic stiffness maximization problem. Firstly, the double Helmholtz smoothing and piecewise projection scheme is introduced to identify the spatial distribution of multiple microstructure blocks at macroscale. Then, we optimize the spatial distribution of various microstructures by ordered SIMP method following the effective mechanical properties obtained by homogenization method. Meanwhile, the different microstructural unit cells share the same topology description within their boundary regions to ensure the connectivity. Subsequently, we implement the sensitivity analysis by adjoint variable method based on the “discretize-then-differentiate” approach, such that the consistent sensitivities are obtained on the space-time discretized system. Finally, we formulate the dynamic compliance minimization problem under the constraint of material volume fractions, and present the multiscale concurrent topology optimization method for structures periodically filled with multiple microstructures. Numerical examples demonstrate that this approach has the potential to perform the concurrent microscopic design of multiple unit-cells and their macroscopic layout for improving the load-carrying capacity and ensuring the geometrical connectivity between neighboring unit-cells. This method offers a theoretical reference for design of highly loading porous structures.
multi-scale concurrent topology optimization; multiple cellular structure; transient dynamics; connectable microstructures; numerical homogenization, connectable microstructures, numerical homogenization, multi-scale concurrent topology optimization, transient dynamics, multiple cellular structure
53-64
Jiang, Xudong
52449710-2260-45c8-a46c-15b31a758d2e
Wu, Hao
6c844e8a-504e-4239-ad74-499c2947f645
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Jiang, Xudong
52449710-2260-45c8-a46c-15b31a758d2e
Wu, Hao
6c844e8a-504e-4239-ad74-499c2947f645
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49

Jiang, Xudong, Wu, Hao and Xiong, Yeping (2024) Multiscale concurrent topology optimization for cellular structures with multiple microstructures subjected to dynamic load. Journal of Vibration and Shock, 43 (12), 53-64. (doi:10.13465/j.cnki.jvs.2024.12.007).

Record type: Article

Abstract

Topology optimization is an effective tool to perform the structure-material integrated design of a lattice structure with multiple microstructures for improving its mechanical performances. This paper aims to propose the concurrent design method for the lattice structure at both macro- and micro-scales considering the connectivity between neighboring microstructures for the dynamic stiffness maximization problem. Firstly, the double Helmholtz smoothing and piecewise projection scheme is introduced to identify the spatial distribution of multiple microstructure blocks at macroscale. Then, we optimize the spatial distribution of various microstructures by ordered SIMP method following the effective mechanical properties obtained by homogenization method. Meanwhile, the different microstructural unit cells share the same topology description within their boundary regions to ensure the connectivity. Subsequently, we implement the sensitivity analysis by adjoint variable method based on the “discretize-then-differentiate” approach, such that the consistent sensitivities are obtained on the space-time discretized system. Finally, we formulate the dynamic compliance minimization problem under the constraint of material volume fractions, and present the multiscale concurrent topology optimization method for structures periodically filled with multiple microstructures. Numerical examples demonstrate that this approach has the potential to perform the concurrent microscopic design of multiple unit-cells and their macroscopic layout for improving the load-carrying capacity and ensuring the geometrical connectivity between neighboring unit-cells. This method offers a theoretical reference for design of highly loading porous structures.

This record has no associated files available for download.

More information

Accepted/In Press date: 27 November 2023
e-pub ahead of print date: 28 June 2024
Alternative titles: 时域动载荷作用下多微结构多尺度并行动力学拓扑优化
Keywords: multi-scale concurrent topology optimization; multiple cellular structure; transient dynamics; connectable microstructures; numerical homogenization, connectable microstructures, numerical homogenization, multi-scale concurrent topology optimization, transient dynamics, multiple cellular structure

Identifiers

Local EPrints ID: 494599
URI: http://eprints.soton.ac.uk/id/eprint/494599
PURE UUID: ba44a775-8259-4681-a578-026ecb621b97
ORCID for Yeping Xiong: ORCID iD orcid.org/0000-0002-0135-8464

Catalogue record

Date deposited: 10 Oct 2024 17:04
Last modified: 11 Oct 2024 01:37

Export record

Altmetrics

Contributors

Author: Xudong Jiang
Author: Hao Wu
Author: Yeping Xiong ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×