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Topology optimization of multi-scale structures: a review
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 …
achieving superior performance while being intrinsically lightweight, robust, and multi …
Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects
Abstract Mechanical Metamaterials (MMs) are artificially designed structures with
extraordinary properties that are dependent on micro architectures and spatial tessellations …
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
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 …
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
Many applications demand tunable structural responses through tailored organic
microstructural distributions and spatially varied material properties. Notable progress has …
microstructural distributions and spatially varied material properties. Notable progress has …
Concurrent topology optimization of multiscale composite structures in Matlab
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 …
optimization of multiscale composite structures not only in 2D scenario but also considering …
Two-scale concurrent topology optimization of lattice structures with connectable microstructures
Two-scale concurrent design of lattice material microstructures and their macroscale
distributions can effectively enlarge the design space, and thus achieve lightweight …
distributions can effectively enlarge the design space, and thus achieve lightweight …
A deep convolutional neural network for topology optimization with perceptible generalization ability
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 …
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
Cellular structures are often used to improve the stiffness, fatigue strength, damage
tolerance, and other superior functioning properties of structures in engineering. This paper …
tolerance, and other superior functioning properties of structures in engineering. This paper …
Data-driven topology optimization with multiclass microstructures using latent variable Gaussian process
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 …
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
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 …
composed of multiple lattice materials, in which the microstructures of lattice materials, the …