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 …

Topology optimisation in structural steel design for additive manufacturing

TP Ribeiro, LFA Bernardo, JMA Andrade - Applied Sciences, 2021 - mdpi.com
Topology Optimisation is a broad concept deemed to encapsulate different processes for
computationally determining structural materials optimal layouts. Among such techniques …

Convolution hierarchical deep-learning neural network tensor decomposition (C-HiDeNN-TD) for high-resolution topology optimization

H Li, S Knapik, Y Li, C Park, J Guo, S Mojumder… - Computational …, 2023 - Springer
High-resolution structural topology optimization is extremely challenging due to a large
number of degrees of freedom (DoFs). In this work, a Convolution-Hierarchical Deep …

[HTML][HTML] Design of innovative self-expandable femoral stents using inverse homogenization topology optimization

D Carbonaro, F Mezzadri, N Ferro, G De Nisco… - Computer Methods in …, 2023 - Elsevier
In this study, we propose a novel computational framework for designing innovative self-
expandable femoral stents. First, a two-dimensional stent unit cell is designed by inverse …

On-the-fly model reduction for large-scale structural topology optimization using principal components analysis

M Xiao, D Lu, P Breitkopf, B Raghavan, S Dutta… - Structural and …, 2020 - Springer
Despite a solid theoretical foundation and straightforward application to structural design
problems, 3D topology optimization still suffers from a prohibitively high computational effort …

Efficient stress‐constrained topology optimization using inexact design sensitivities

O Amir - International Journal for Numerical Methods in …, 2021 - Wiley Online Library
An efficient computational approach to stress‐constrained topology optimization is
presented. Using a multigrid‐preconditioned Krylov solver for the state and adjoint …

Design of topology-optimized functionally graded porous structures under transient loads

FJ Ramírez-Gil, ECN Silva… - International Journal of …, 2024 - Elsevier
This paper presents a novel approach for designing functionally graded porous structures
(FGPSs) at a macroscopic scale, where the main goal is to maximize their stiffness when …

Design of cellular materials for multiscale topology optimization: application to patient-specific orthopedic devices

N Ferro, S Perotto, D Bianchi, R Ferrante… - Structural and …, 2022 - Springer
A flexible problem-specific multiscale topology optimization is introduced to associate
different areas of the design domain with diverse microstructures extracted from a dictionary …

A new fluid-based strategy for the connection of non-matching lattice materials

N Ferro, S Perotto, M Gavazzoni - Structural and Multidisciplinary …, 2022 - Springer
We present a new algorithm for the design of the connection region between different lattice
materials. We solve a Stokes-type topology optimization problem on a narrow morphing …

A simple Matlab code for material design optimization using reduced order models

G Kazakis, ND Lagaros - Materials, 2022 - mdpi.com
The main part of the computational cost required for solving the problem of optimal material
design with extreme properties using a topology optimization formulation is devoted to …