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 optimization (TO) is a method of deriving an optimal design that satisfies a given
load and boundary conditions within a design domain. This method enables effective design …

The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …

A central challenge in generative design is the exploration of vast number of solutions. In
this work, we extend two major density-based structural topology optimization (STO) …

Black-box topology optimization (BBTO) uses evolutionary algorithms and other soft
computing techniques to generate near-optimal topologies of mechanical structures …

Topology optimization (TO) plays a significant role in industry by providing engineers with
optimal material distributions based exclusively on the information about the design space …

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 …

Topology optimization need acceleration to reduce computational costs. While various
efforts have employed Convolutional Neural Networks (CNNs) for this purpose, they aren't …

Purpose The purpose of this article is to analyze the optimization process in depth,
elaborating on the components of the entire process and the techniques used. Researchers …

Launching satellites into the Earth's orbit is a critical area of research, and very demanding
satellite services increase exponentially as modern society takes shape. At the same time …