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Ultrastiff metamaterials generated through a multilayer strategy and topology optimization. [PDF]

open access: yesNat Commun
Metamaterials composed of different geometrical primitives have different properties. Corresponding to the fundamental geometrical forms of line, plane, and surface, beam-, plate-, and shell-based lattice metamaterials enjoy many advantages in many ...
Liu Y   +9 more
europepmc   +2 more sources

Design of multiple materials structure based on an explicit and implicit hybrid topology optimization method [PDF]

open access: yesScientific Reports
In this paper, an explicit and implicit hybrid topology optimization method is proposed for the design of multiple materials structure. The explicit topology optimization employs the moving morphable component (MMC) method to determine where the solid ...
Zhao Li   +4 more
doaj   +2 more sources

Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods [PDF]

open access: yesLight: Science & Applications, 2023
As a two-dimensional planar material with low depth profile, a metasurface can generate non-classical phase distributions for the transmitted and reflected electromagnetic waves at its interface. Thus, it offers more flexibility to control the wave front.
Wenye Ji   +6 more
semanticscholar   +1 more source

Diffusion Models Beat GANs on Topology Optimization [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2022
Structural topology optimization, which aims to find the optimal physical structure that maximizes mechanical performance, is vital in engineering design applications in aerospace, mechanical, and civil engineering.
Franccois Maz'e, Faez Ahmed
semanticscholar   +1 more source

Topology optimization of multi-scale structures: a review

open access: yesStructural And Multidisciplinary Optimization, 2021
Multi-scale structures, as found in nature (e.g., bone and bamboo), hold the promise of achieving superior performance while being intrinsically lightweight, robust, and multi-functional.
Jun Wu, O. Sigmund, J. Groen
semanticscholar   +1 more source

Topology optimization for metal additive manufacturing: current trends, challenges, and future outlook

open access: yesVirtual and Physical Prototyping, 2023
Metal additive manufacturing is gaining immense research attention. Some of these research efforts are associated with physics, statistical, or artificial intelligence-driven process modelling and optimisation, structure–property characterisation ...
O. Ibhadode   +9 more
semanticscholar   +1 more source

Inverse Design of Energy‐Absorbing Metamaterials by Topology Optimization

open access: yesAdvancement of science, 2022
Compared with the forward design method through the control of geometric parameters and material types, the inverse design method based on the target stress‐strain curve is helpful for the discovery of new structures.
Qingliang Zeng   +4 more
semanticscholar   +1 more source

A review on the topology optimization of the fiber-reinforced composite structures

open access: yesАвіаційно-космічна техніка та технологія, 2021
According to the requirements of the aerospace industry for high strength, high stiffness, and lightweight structural parts, topology optimization has been proved to be an effective product design method.
Zheng Hu
doaj   +1 more source

Multiobjective Topology Optimization of Spatial-Structure Joints

open access: yesAdvances in Civil Engineering, 2021
To realize the static and dynamic multiobjective topology optimization of joints in spatial structures, structural topology optimization is carried out to maximize the stiffness under static multiload conditions and maximize the first third-order dynamic
Nanhai Zhu, Jinlei Liu
doaj   +1 more source

Topology Optimization for Electromagnetics: A Survey

open access: yesIEEE Access, 2022
The development of technologies for the additive manufacturing, in particular of metallic materials, is offering the possibility of producing parts with complex geometries.
F. Lucchini   +4 more
semanticscholar   +1 more source

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