ShipHullGAN: a generic parametric modeller for ship hull design using deep convolutional generative model
From MaRDI portal
Publication:6097596
DOI10.1016/j.cma.2023.116051arXiv2305.00210OpenAlexW4367292510MaRDI QIDQ6097596
Shahroz Khan, Kosa Goucher-Lambert, Konstantinos Kostas, P. D. Kaklis
Publication date: 6 June 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2305.00210
shape optimisationcomputer-aided designgeometric momentsparametric designship designgenerative adversarial network
Cites Work
- Unnamed Item
- Five decades of computer-aided ship design
- The wave resistance problem in a boundary integral formulation
- Ship-hull shape optimization with a T-spline based BEM-isogeometric solver
- IH-GAN: a conditional generative model for implicit surface-based inverse design of cellular structures
- Reconstruction of convex bodies from moments
- Geometric moment invariants
- Explicit formulae for polyhedra moments
- Numerical Geometry of Non-Rigid Shapes
- Reconstructing planar domains from their moments
- Shallow-water flows past slender bodies
This page was built for publication: ShipHullGAN: a generic parametric modeller for ship hull design using deep convolutional generative model