Hamiltonian Two-Way Coupling of Nonlinear Waves and 3D Flows

Simulating large-scale free-surface flow by coupling a localized 3D fluid solver to a cheaper 2D surface model has long faced a mismatch in wave dynamics: efficient 2D wave models used in graphics are typically either linear or non-dispersive. These models are fast, simple, and accurate for calm, small-amplitude seas, but coupling them to strongly nonlinear 3D solvers produces visible reflections and artifacts at the 2D-3D interface. We address this problem by introducing a nonlinear and dispersive 2D wave model based on the canonical Zakharov formulation. Its Hamiltonian structure enables canonically consistent two-way coupling, allowing information to pass smoothly across the 2D-3D interface. Our 2D solver reduces mean wave-height error by factors of 1.7–5× relative to SWE, BEM, and Airy baselines while running more than 10 3 × faster than BEM; it achieves greater nonlinear accuracy and coupling fidelity than SWE and Airy, with minor losses in speed and stability. Coupling it with a 3D Navier-Stokes solver yields a full system that suppresses visible seam artifacts across a range of experiments, including dispersion-matching and Kelvin-wake tests, and runs over 4× faster than a full-domain GPU NB-FLIP simulation.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Graphics
Published
2026-11-09
DOI
https://doi.org/10.1145/3842540
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Hamiltonian Two-Way Coupling of Nonlinear Waves and 3D Flows

Zhiqi Li, Taiyuan Zhang, Jinjin He, Sinan Wang et al.
ACM Transactions on Graphics
Computer Graphics and Visualization Techniques
article

Hamiltonian Two-Way Coupling of Nonlinear Waves and 3D Flows

Zhiqi Li, Taiyuan Zhang, Jinjin He, Sinan Wang, Ruicheng Wang, Bo Zhu, Fan Feng, Yuchen Sun
article en

Abstract

Simulating large-scale free-surface flow by coupling a localized 3D fluid solver to a cheaper 2D surface model has long faced a mismatch in wave dynamics: efficient 2D wave models used in graphics are typically either linear or non-dispersive. These models are fast, simple, and accurate for calm, small-amplitude seas, but coupling them to strongly nonlinear 3D solvers produces visible reflections and artifacts at the 2D-3D interface. We address this problem by introducing a nonlinear and dispersive 2D wave model based on the canonical Zakharov formulation. Its Hamiltonian structure enables canonically consistent two-way coupling, allowing information to pass smoothly across the 2D-3D interface. Our 2D solver reduces mean wave-height error by factors of 1.7–5× relative to SWE, BEM, and Airy baselines while running more than 10 3 × faster than BEM; it achieves greater nonlinear accuracy and coupling fidelity than SWE and Airy, with minor losses in speed and stability. Coupling it with a 3D Navier-Stokes solver yields a full system that suppresses visible seam artifacts across a range of experiments, including dispersion-matching and Kelvin-wake tests, and runs over 4× faster than a full-domain GPU NB-FLIP simulation.

ACM Transactions on GraphicsVol. 45(6)
Dartmouth College (US), Georgia Institute of Technology (US)
National Science Foundation, Nvidia, Office of International Science and Engineering, Division of Electrical, Communications and Cyber Systems
Computer Graphics and Visualization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Hamiltonian Two-Way Coupling of Nonlinear Waves and 3D Flows — Zhiqi Li, Taiyuan Zhang, et al. · ACM Transactions on Graphics (2026) | TGRS Research Map | TGRS