Boundary correspondence of planar domains for isogeometric analysis based on optimal mass transport-Reference-Cited by-同舟云学术

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Boundary correspondence of planar domains for isogeometric analysis based on optimal mass transport

Published:2019-09 Issue: Volume:114 Page:28-36
ISSN:0010-4485
Container-title:Computer-Aided Design
language:en
Short-container-title:Computer-Aided Design

Author:

Zheng Ye,Pan Maodong,Chen Falai

Funder

Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, China

China Postdoctoral Science Foundation

Anhui Provincial Natural Science Foundation, China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference43 articles.

1. Isogeometric analysis: Cad, finite elements, nurbs, exact geometry and mesh refinement;Hughes;Comput Methods Appl Mech Engrg,2005

2. Analysis-aware modeling: Understanding quality considerations in modeling for isogeometric analysis;Cohen;Comput Methods Appl Mech Engrg,2010

3. Bounding the influence of domain parameterization and knot spacing on numerical stability in isogeometric analysis;Pilgerstorfer;Comput Methods Appl Mech Engrg,2014

4. Parameterization of computational domain in isogeometric analysis: methods and comparison;Xu;Comput Methods Appl Mech Engrg,2011

5. Analysis-suitable volume parameterization of multi-block computational domain in isogeometric applications;Xu;Comput Aided Des,2013

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1. Boundary parameter matching for isogeometric analysis using Schwarz–Christoffel mapping;Engineering with Computers;2024-07-03

2. Fast parameterization of planar domains for isogeometric analysis via generalization of deep neural network;Computer Aided Geometric Design;2024-06

3. Simultaneous Boundary and Interior Parameterization of Planar Domains Via Deep Learning;Computer-Aided Design;2024-01

4. G1-smooth planar parameterization of complex domains for isogeometric analysis;Computer Methods in Applied Mechanics and Engineering;2023-12

5. Splines Parameterization of Planar Domains by Physics-Informed Neural Networks;Mathematics;2023-05-22

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