10 papers
Estimating Hydrodynamic Coefficients for Floating Offshore Structures from Movement Data Using Physics-Informed Neural Networks
Anders Schou, Jens Visbech, Allan Peter Engsig-Karup
We present a method for estimating the hydrodynamic coefficients in the Cummins equations using time-series data from a moving body, such as a floating offshore structure. The prop…
A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials
Enrico Ballini, Allan Peter Engsig-Karup, Tito Andriollo
We present a neural-network-based framework for the solution of three-dimensional boundary value problems where the solution is expressible in terms of harmonic potentials. The app…
An IMEX-DG solver with non-conforming mesh refinement for atmospheric dynamics with rotation
Letizia Bottani, Tommaso Benacchio, Giuseppe Orlando +2
We present a high-order implicit-explicit discontinuous Galerkin (IMEX-DG) solver for the compressible Euler equations to account for rotational effects within a fully compressible…
Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models
Freja Høgholm Petersen, Jesper Sandvig Mariegaard, Rocco Palmitessa +1
While proper orthogonal decomposition (POD)-based surrogates are widely explored for hydrodynamic applications, the use of Koopman autoencoders for real-world coastal-ocean modelli…
An unstructured second-order subgrid method for the shallow water equations
Max Ebstrup Bitsch, Irene Torpe Heilmann, Allan Peter Engsig-Karup +2
We propose a new unstructured numerical subgrid method for solving the shallow water equations using a finite volume method with enhanced bathymetry resolution. The method employs…
A High-Order Spectral Element Solver for Steady-State Free Surface Flows
Simone Minniti, Jens Visbech, Claes Eskilsson +2
We present a spectral element solver for the steady incompressible Navier-Stokes equations subject to a free surface. Utilizing the kinematic behaviour of the free surface boundary…