Multi-scale structures, as found in nature (eg, bone and bamboo), hold the promise of
achieving superior performance while being intrinsically lightweight, robust, and multi …

Manufacturing-oriented topology optimization has been extensively studied the past two
decades, in particular for the conventional manufacturing methods, for example, machining …

Neural networks, and more broadly, machine learning techniques, have been recently
exploited to accelerate topology optimization through data-driven training and image …

摘要结构拓扑优化研究方法目前有解析方法和数值方法两大类. 首先介绍了解析方法中的Michel
理论, 它在结构拓扑优化领域研究较早, 影响最为深远随后着重讨论了杆系和连续体结构拓扑 …

Topology optimization has undergone a tremendous development since its introduction in
the seminal paper by Bendsøe and Kikuchi in 1988. By now, the concept is developing in …

In the present work, we intend to demonstrate how to do topology optimization in an explicit
and geometrical way. To this end, a new computational framework for structural topology …

" The art of structure is where to put the holes" Robert Le Ricolais, 1894-1977 This is a
completely revised, updated and expanded version of the book titled" Optimization of …

In topology optimization of structures, materials and mechanisms, parametrization of
geometry is often performed by a grey-scale density-like interpolation function. In this paper …

In this paper we seek to summarize the current knowledge about numerical instabilities such
as checkerboards, mesh-dependence and local minima occurring in applications of the …

This work is an attempt to provide a unified presentation of methods for the optimal design of
topology, shape and material for continuum and discrete structures. The emphasis is on …