Topology optimization of multi-scale structures: a review

J Wu, O Sigmund, JP Groen - Structural and Multidisciplinary Optimization, 2021 - Springer
Multi-scale structures, as found in nature (eg, bone and bamboo), hold the promise of
achieving superior performance while being intrinsically lightweight, robust, and multi …

Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects

J Gao, X Cao, M **ao, Z Yang, X Zhou, Y Li… - Materials Science and …, 2023 - Elsevier
Abstract Mechanical Metamaterials (MMs) are artificially designed structures with
extraordinary properties that are dependent on micro architectures and spatial tessellations …

Investigation of concurrent multiscale topology optimization for designing lightweight macrostructure with high thermal conductivity

M Al Ali, M Shimoda - International Journal of Thermal Sciences, 2022 - Elsevier
Lightweight and high heat conductive solid structures are playing important role in various
fields of engineering. To maximize the design performance for such structures, we …

[HTML][HTML] Topology optimization of irregular multiscale structures with tunable responses using a virtual growth rule

Y Jia, K Liu, XS Zhang - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
Many applications demand tunable structural responses through tailored organic
microstructural distributions and spatially varied material properties. Notable progress has …

Concurrent topology optimization of multiscale composite structures in Matlab

J Gao, Z Luo, L **a, L Gao - Structural and Multidisciplinary Optimization, 2019 - Springer
This paper presents the compact and efficient Matlab codes for the concurrent topology
optimization of multiscale composite structures not only in 2D scenario but also considering …

Two-scale concurrent topology optimization of lattice structures with connectable microstructures

P Liu, Z Kang, Y Luo - Additive Manufacturing, 2020 - Elsevier
Two-scale concurrent design of lattice material microstructures and their macroscale
distributions can effectively enlarge the design space, and thus achieve lightweight …

A deep convolutional neural network for topology optimization with perceptible generalization ability

D Wang, C **ang, Y Pan, A Chen, X Zhou… - Engineering …, 2022 - Taylor & Francis
This article proposes a deep convolutional neural network with perceptible generalization
ability for structural topology optimization. The architecture of the neural network is made up …

An improved ordered SIMP approach for multiscale concurrent topology optimization with multiple microstructures

X Gu, S He, Y Dong, T Song - Composite Structures, 2022 - Elsevier
Cellular structures are often used to improve the stiffness, fatigue strength, damage
tolerance, and other superior functioning properties of structures in engineering. This paper …

Data-driven topology optimization with multiclass microstructures using latent variable Gaussian process

L Wang, S Tao, P Zhu, W Chen - Journal of …, 2021 - asmedigitalcollection.asme.org
The data-driven approach is emerging as a promising method for the topological design of
multiscale structures with greater efficiency. However, existing data-driven methods mostly …

Two-scale concurrent topology optimization method of hierarchical structures with self-connected multiple lattice-material domains

J Hu, Y Luo, S Liu - Composite Structures, 2021 - Elsevier
This paper proposes a two-scale concurrent topology optimization method for the structures
composed of multiple lattice materials, in which the microstructures of lattice materials, the …