activity
20172026
most citedSelf-supporting structure design in additive manufacturing through explicit topology optimization

297 citations · 654 across the 13 of their papers we have counts for

collaborators

13 papers

math.NA2026

PIML-OFEM: A New Large-Scale Structural Analysis Method Based on Problem-Independent Machine Learning and Overlapping Finite Element Technique

Yilin Guo, Chang Liu, Zongliang Du +7

High-resolution analysis and design of large-scale heterogeneous structures require accurate reduced-order models and efficient online computation. Existing multiscale methods must…

math.OC2024

Explicit design optimization of air rudders for maximizing stiffness and fundamental frequency

Yibo Jia, Wen Meng, Zongliang Du +6

In aerospace engineering, there is a growing demand for lightweight design through topology optimization. This paper presents a novel design optimization method for stiffened air r…

math.OC2024★ 1 cited

Shell-infill composite structure design based on a hybrid explicit-implicit topology optimization method

Yilin Guo, Chang Liu, Xu Guo

The present paper introduces a hybrid explicit-implicit topology optimization method for shell-infill composite structure design. The proposed approach effectively combines the adv…

cs.GR2023★ 18 cited

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…

physics.app-ph2023★ 15 cited

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…

math.OC2022

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…

math.OC2022★ 31 cited

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…

math.OC2022★ 120 cited

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…

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…

cs.CE2019★ 55 cited

Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach

Chang Liu, Zongliang Du, Yichao Zhu +3

In the present work, a hybrid MMC-MMV approach is developed for designing additive manufacturing-oriented shell-graded-infill structures. The key idea is to describe the geometry o…

cs.CE2019★ 2 cited

On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy

Dingchuan Xue, Yichao Zhu, Shaoshuai Li +3

Gradient porous structured materials possess significant potential of being applied in many engineering fields. To accelerate the design process of infill graded microstructures, a…

cs.CE2018★ 106 cited

An efficient Moving Morphable Component (MMC)-based approach for multi-resolution topology optimization

Chang Liu, Yichao Zhu, Zhi Sun +4

In the present work, a highly efficient Moving Morphable Component (MMC) based approach for multi-resolution topology optimization is proposed. In this approach, high-resolution op…

physics.app-ph2017★ 297 cited

Self-supporting structure design in additive manufacturing through explicit topology optimization

Xu Guo, Jianhua Zhou, Weisheng Zhang +3

One of the challenging issues in additive manufacturing (AM) oriented topology optimization is how to design structures that are self-supportive in a manufacture process without in…