A comprehensive review of educational articles on structural and multidisciplinary optimization
Ever since the publication of the 99-line topology optimization MATLAB code (top99) by
Sigmund in 2001, educational articles have emerged as a popular category of contributions …
Sigmund in 2001, educational articles have emerged as a popular category of contributions …
Topologygan: Topology optimization using generative adversarial networks based on physical fields over the initial domain
In topology optimization using deep learning, the load and boundary conditions represented
as vectors or sparse matrices often miss the opportunity to encode a rich view of the design …
as vectors or sparse matrices often miss the opportunity to encode a rich view of the design …
An 88-line MATLAB code for the parameterized level set method based topology optimization using radial basis functions
This paper presents a compact and efficient 88-line MATLAB code for the parameterized
level set method based topology optimization using radial basis functions (RBFs), which is …
level set method based topology optimization using radial basis functions (RBFs), which is …
Efficient design optimization of variable-density cellular structures for additive manufacturing: theory and experimental validation
Purpose The purpose of the paper is to propose a homogenization-based topology
optimization method to optimize the design of variable-density cellular structure, in order to …
optimization method to optimize the design of variable-density cellular structure, in order to …
3D topology optimization using convolutional neural networks
S Banga, H Gehani, S Bhilare, S Patel… - arxiv preprint arxiv …, 2018 - arxiv.org
Topology optimization is computationally demanding that requires the assembly and
solution to a finite element problem for each material distribution hypothesis. As a …
solution to a finite element problem for each material distribution hypothesis. As a …
[HTML][HTML] A complete physics-informed neural network-based framework for structural topology optimization
Abstract Physics-Informed Neural Networks (PINNs) have recently gained increasing
attention in the field of topology optimization. The fusion of deep learning and topology …
attention in the field of topology optimization. The fusion of deep learning and topology …
Topology optimization for electromagnetics: A survey
The development of technologies for the additive manufacturing, in particular of metallic
materials, is offering the possibility of producing parts with complex geometries. This opens …
materials, is offering the possibility of producing parts with complex geometries. This opens …
Hip implant design with three-dimensional porous architecture of optimized graded density
Even in a well-functioning total hip replacement, significant peri-implant bone resorption can
occur secondary to stress shielding. Stress shielding is caused by an undesired mismatch of …
occur secondary to stress shielding. Stress shielding is caused by an undesired mismatch of …
Topological design for isotropic metamaterials using anisotropic material microstructures
J **ang, J Chen, Y Zheng, P Li, J Huang… - Engineering Analysis with …, 2024 - Elsevier
Isotropic porous materials retain the same physical properties in any direction, regardless of
the measurement direction. Therefore, mechanical metamaterials with isotropic properties …
the measurement direction. Therefore, mechanical metamaterials with isotropic properties …
Topological design for 3D-printing of carbon fibre reinforced composite structural parts
This study develops a novel procedure combining topological design and fibre placement
paths based on average load transmission trajectories for high load-bearing capacity of 3D …
paths based on average load transmission trajectories for high load-bearing capacity of 3D …