4.5 Article

A deep convolutional neural network for topology optimization with perceptible generalization ability

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

TOuNN: Topology Optimization using Neural Networks

Aaditya Chandrasekhar et al.

Summary: In this study, a new topology optimization method is proposed using neural networks to represent and optimize the density field, resulting in sharp and differentiable boundaries. The research demonstrates that the method is simple to implement and illustrates its application through 2D and 3D examples. Some unresolved challenges with the proposed framework are also summarized.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)

Article Computer Science, Interdisciplinary Applications

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Zhenguo Nie et al.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2020)

Article Computer Science, Interdisciplinary Applications

Topology optimization of 2D structures with nonlinearities using deep learning

Diab W. Abueidda et al.

COMPUTERS & STRUCTURES (2020)

Article Mechanics

Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework

Xin Lei et al.

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2019)

Article Computer Science, Software Engineering

Non-iterative structural topology optimization using deep learning

Baotong Li et al.

COMPUTER-AIDED DESIGN (2019)

Article Computer Science, Software Engineering

One-shot generation of near-optimal topology through theory-driven machine learning

Ruijin Cang et al.

COMPUTER-AIDED DESIGN (2019)

Article Engineering, Mechanical

Deep Generative Design: Integration of Topology Optimization and Generative Models

Sangeun Oh et al.

JOURNAL OF MECHANICAL DESIGN (2019)

Article Mathematics, Applied

Neural networks for topology optimization

Ivan Sosnovik et al.

RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING (2019)

Article Computer Science, Interdisciplinary Applications

Deep learning for determining a near-optimal topological design without any iteration

Yonggyun Yu et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)

Article Engineering, Mechanical

Connecting Microstructures for Multiscale Topology Optimization With Connectivity Index Constraints

Zongliang Du et al.

JOURNAL OF MECHANICAL DESIGN (2018)

Article Engineering, Multidisciplinary

A new method to generate the ground structure in truss topology optimization

Ge Gao et al.

ENGINEERING OPTIMIZATION (2017)

Article Computer Science, Artificial Intelligence

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Computer Science, Artificial Intelligence

Fully Convolutional Networks for Semantic Segmentation

Evan Shelhamer et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Mechanics

Doing Topology Optimization Explicitly and Geometrically-A New Moving Morphable Components Based Framework

Xu Guo et al.

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2014)

Review Computer Science, Interdisciplinary Applications

Topology optimization approaches A comparative review

Ole Sigmund et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2013)

Article Computer Science, Interdisciplinary Applications

Efficient topology optimization in MATLAB using 88 lines of code

Erik Andreassen et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2011)

Article Engineering, Multidisciplinary

A level set method for structural topology optimization

MY Wang et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2003)