120 citations · 213 across the 8 of their papers we have counts for
8 papers
A novel explicit design method for complex thin-walled structures based on embedded solid moving morphable components
Wendong Huo, Chang Liu, Yunpu Liu +3
In this article, a novel explicit approach for designing complex thin-walled structures based on the Moving Morphable Component (MMC) method is proposed, which provides a unified f…
Efficient Design of Helical Higher-Order Topological Insulators in 3D Elastic Medium
Jiachen Luo, Zongliang Du, Hui Chen +4
Topological materials (TMs) are well-known for their topological protected properties. Phononic system has the advantage of direct observation and engineering of topological phenom…
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…
A sequential linear programming (SLP) approach for uncertainty analysis-based data-driven computational mechanics
Mengcheng Huang, Chang Liu, Zongliang Du +2
In this article, an efficient sequential linear programming algorithm (SLP) for uncertainty analysis-based data-driven computational mechanics (UA-DDCM) is presented. By assuming t…
Topology optimization on complex surfaces based on the moving morphable component (MMC) method and computational conformal mapping (CCM)
Wendong Huo, Chang Liu, Zongliang Du +3
In the present paper, an integrated paradigm for topology optimization on complex surfaces with arbitrary genus is proposed. The approach is constructed based on the two-dimensiona…
An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization
Zongliang Du, Tianchen Cui, Chang Liu +3
Explicit topology optimization methods have received ever-increasing interest in recent years. In particular, a 188-line Matlab code of the two-dimensional (2D) Moving Morphable Co…
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…
The Role of Grain Boundaries under Long-Time Radiation
Yichao Zhu, Jing Luo, Xu Guo +2
Materials containing a high proportion of grain boundaries offer significant potential for the development of radiation-resistent structural materials. However, a proper understand…