Accelerating large-scale topology optimization: state-of-the-art and challenges

S Mukherjee, D Lu, B Raghavan, P Breitkopf… - … Methods in Engineering, 2021 - Springer
Large-scale structural topology optimization has always suffered from prohibitively high
computational costs that have till date hindered its widespread use in industrial design. The …

Deep-learning-based isogeometric inverse design for tetra-chiral auxetics

Z Liao, Y Wang, L Gao, ZP Wang - Composite Structures, 2022 - Elsevier
Auxetic materials with the counter-intuitive effect of negative Poisson's ratio (NPR) have
potentials for diverse applications. Typical shape optimization designs of auxetic structures …

An efficient isogeometric topology optimization using multilevel mesh, MGCG and local-update strategy

Y Wang, Z Liao, M Ye, Y Zhang, W Li, Z Xia - Advances in Engineering …, 2020 - Elsevier
This paper proposes a new high-efficiency isogeometric topology optimization (HITO),
including three part: multilevel mesh, multigrid conjugate gradient method (MGCG) and local …

Fatigue-resistance topology optimization of continuum structure by penalizing the cumulative fatigue damage

Z Chen, K Long, P Wen, S Nouman - Advances in Engineering Software, 2020 - Elsevier
This paper proposes a new methodology for continuum topology optimization that is capable
of fatigue-resistance design. Firstly, penalized stress is adopted to circumvent the singularity …

Efficient, high-resolution topology optimization method based on convolutional neural networks

L Xue, J Liu, G Wen, H Wang - Frontiers of Mechanical Engineering, 2021 - Springer
Topology optimization is a pioneer design method that can provide various candidates with
high mechanical properties. However, high resolution is desired for optimum structures, but …

Data-driven structural design optimization for petal-shaped auxetics using isogeometric analysis

Y Wang, Z Liao, S Shi, Z Wang… - Computer Modeling in …, 2020 - ingentaconnect.com
Focusing on the structural optimization of auxetic materials using data-driven methods, a
back-propagation neural network (BPNN) based design framework is developed for petal …

A hierarchical spline based isogeometric topology optimization using moving morphable components

X Xie, S Wang, M Xu, N Jiang, Y Wang - Computer Methods in Applied …, 2020 - Elsevier
This paper presents a hierarchical spline based isogeometric topology optimization using
moving morphable components (HITO-MMC). In this work, the adaptive isogeometric …

Model reduction on 3D fracture resistance design

D Da - Journal of Computational Physics, 2022 - Elsevier
Fracture resistance design of materials and structures has recently attracted attention, while
heavy numerical calculations hindered its development and application. In this work …

Multi-resolution topology optimization using B-spline to represent the density field

Z Guo, H Su, X Li, Y Wang - Advances in Engineering Software, 2023 - Elsevier
This paper proposes a novel multi-resolution topology optimization method using B-spline to
represent the density field, and overcomes the defects of tedious post-processing of element …

Unit module-based convergence acceleration for topology optimization using the spatiotemporal deep neural network

Y Joo, Y Yu, IG Jang - IEEE Access, 2021 - ieeexplore.ieee.org
This study proposes a unit module-based acceleration method for 2-D topology optimization.
For the purpose, the first-stage topology optimization is performed until the predefined …