ShipHullGAN: a generic parametric modeller for ship hull design using deep convolutional generative model

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

zbMATH Keywords

shape optimisationcomputer-aided designgeometric momentsparametric designship designgenerative adversarial network

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

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

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