On the use of artificial neural networks in topology optimisation

RV Woldseth, N Aage, JA Bærentzen… - Structural and …, 2022 - Springer
The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …

[HTML][HTML] Design of compliant mechanisms using continuum topology optimization: A review

B Zhu, X Zhang, H Zhang, J Liang, H Zang, H Li… - … and Machine Theory, 2020 - Elsevier
Compliant mechanisms have become an important branch of modern mechanisms. Unlike
conventional rigid body mechanisms, compliant mechanisms transform the displacement …

TOuNN: Topology optimization using neural networks

A Chandrasekhar, K Suresh - Structural and Multidisciplinary Optimization, 2021 - Springer
Neural networks, and more broadly, machine learning techniques, have been recently
exploited to accelerate topology optimization through data-driven training and image …

[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …

M Bayat, O Zinovieva, F Ferrari, C Ayas… - Progress in Materials …, 2023 - Elsevier
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

Topology optimization of hierarchical lattice structures with substructuring

Z Wu, L Xia, S Wang, T Shi - Computer Methods in Applied Mechanics and …, 2019 - Elsevier
This work presents a generalized topology optimization approach for the design of
hierarchical lattice structures with the development of an Approximation of Reduced …

Homogenization-based stiffness optimization and projection of 2D coated structures with orthotropic infill

JP Groen, J Wu, O Sigmund - Computer Methods in Applied Mechanics and …, 2019 - Elsevier
This paper concerns compliance minimization and projection of coated structures with
orthotropic infill material in 2D. The purpose of the work is two-fold. First, we introduce an …

Stability and conditioning of immersed finite element methods: analysis and remedies

F de Prenter, CV Verhoosel, EH van Brummelen… - … Methods in Engineering, 2023 - Springer
This review paper discusses the developments in immersed or unfitted finite element
methods over the past decade. The main focus is the analysis and the treatment of the …

Problem-independent machine learning (PIML)-based topology optimization—A universal approach

M Huang, Z Du, C Liu, Y Zheng, T Cui, Y Mei… - Extreme Mechanics …, 2022 - Elsevier
Solving topology optimization problem is very computationally demanding especially when
high-resolution results are sought for. In the present work, a problem-independent machine …

Accelerating gradient-based topology optimization design with dual-model artificial neural networks

C Qian, W Ye - Structural and Multidisciplinary Optimization, 2021 - Springer
Topology optimization (TO) is a common technique used in free-form designs. However,
conventional TO-based design approaches suffer from high computational cost due to the …

An efficient moving morphable component (MMC)-based approach for multi-resolution topology optimization

C Liu, Y Zhu, Z Sun, D Li, Z Du, W Zhang… - Structural and …, 2018 - Springer
In the present work, a highly efficient moving morphable component (MMC)-based approach
for multi-resolution topology optimization is proposed. In this approach, high-resolution …