most citedA mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2022

Data-driven Topology Optimization (DDTO) for Three-dimensional Continuum Structures

Yunhang Guo, Zongliang Du, Lubin Wang +6

Developing appropriate analytic-function-based constitutive models for new materials with nonlinear mechanical behavior is demanding. For such kinds of materials, it is more challe…

cs.LG2021★ 9 cited

A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)

Tianle Yue, Hang Yang, Zongliang Du +4

In this paper, a mechanistic data-driven approach is proposed to accelerate structural topology optimization, employing an in-house developed finite element convolutional neural ne…