Design and Optimization of Conforming Lattice Structures
May 08, 2019 ยท Declared Dead ยท ๐ IEEE Transactions on Visualization and Computer Graphics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Jun Wu, Weiming Wang, Xifeng Gao
arXiv ID
1905.02902
Category
cs.CE: Computational Engineering
Cross-listed
cs.GR
Citations
158
Venue
IEEE Transactions on Visualization and Computer Graphics
Last Checked
1 month ago
Abstract
Inspired by natural cellular materials such as trabecular bone, lattice structures have been developed as a new type of lightweight material. In this paper we present a novel method to design lattice structures that conform with both the principal stress directions and the boundary of the optimized shape. Our method consists of two major steps: the first optimizes concurrently the shape (including its topology) and the distribution of orthotropic lattice materials inside the shape to maximize stiffness under application-specific external loads; the second takes the optimized configuration (i.e. locally-defined orientation, porosity, and anisotropy) of lattice materials from the previous step, and extracts a globally consistent lattice structure by field-aligned parameterization. Our approach is robust and works for both 2D planar and 3D volumetric domains. Numerical results and physical verifications demonstrate remarkable structural properties of conforming lattice structures generated by our method.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computational Engineering
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
R.I.P.
๐ป
Ghosted
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis
R.I.P.
๐ป
Ghosted
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
R.I.P.
๐ป
Ghosted
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
R.I.P.
๐ป
Ghosted
Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted