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 …

Abstract Development of advanced structures using modern manufacturing methods has
become attractive since they allow to improve system efficiency and performance, fuel …

With the diversification of engineering structure performance requirements and the
continuous development of structural design refinement, structural design methods are …

We propose a new framework for the two-and three-dimensional topology optimization (TO)
of the weakly-coupled fluid–structure system. The proposed design methodology uses a …

We propose a parallel distributed and open-source framework for full-scale 3D structural
topology optimization (TO). This can be achieved by properly combining parallel computing …

In this work, a topology optimization parallel-computing framework is developed to design
support structures for minimizing deflections in Laser Powder-bed Fusion produced parts …

A number of machine learning methods have been recently proposed to circumvent the high
computational cost of the gradient-based topology optimization solvers. By and large, these …

In addition to the requirements of full-scale optimization, the adaptability to structures with
arbitrary geometries and complex boundary conditions is also important to topology …

This work presents a parallel implementation of density-based topology optimization using
distributed GPU computing systems. The use of multiple GPU devices allows us accelerating …

Recently, the high-resolution topology optimization to promote engineering applicability has
gained much more attentions. However, an accurate and highly-efficient design framework …