Localized kernel gradient correction for SPH simulations of water wave propagation
Lennart Justin Schulze, Vito Zago, Giuseppe Bilotta, Robert Anthony Dalrymple

TL;DR
This paper introduces a localized kernel gradient correction method for SPH water wave simulations that reduces computational effort by applying higher-order corrections only where necessary, improving accuracy at the free surface.
Contribution
It proposes a criterion to selectively apply kernel gradient correction in SPH water simulations, enhancing efficiency and accuracy, especially for deep water waves.
Findings
Effective in simulating standing and progressive water waves
Reduces computational cost by localizing corrections
Addresses free surface issues in kernel gradient correction
Abstract
Basic Smoothed Particle Hydrodynamics (SPH) models exhibit excessive, numerical dissipation in the simulation of water wave propagation. This can be remedied using higher-order approaches such as kernel gradient correction, which introduce additional computational effort. The present work demonstrates, that the higher-order scheme is only required in a limited part of the water wave in order to obtain satisfying results. The criterion for distinguishing particles in need of special treatment from those that do not is motivated by water wave mechanics. Especially for deep water waves, the approach potentially spares large amounts of computational effort. The present paper also proposes a remedy for issues of the kernel gradient correction occurring at the free surface. Satisfying results for the proposed approach are shown for a standing wave in a basin and a progressive wave train in a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics Simulations and Interactions · Ship Hydrodynamics and Maneuverability · Wave and Wind Energy Systems
