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April 7, 2026Physics of Fluids1 citations

Model-dependent gap resonance investigation with Kelvin–Helmholtz instability in floating channels

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WWwei WangWCWei ChenAFAichun Feng

Key Points

  • This research aims to analyze how different flow models affect gap resonance and stability in floating channels.
  • Investigated gap resonance using potential flow theory and computational fluid dynamics simulations.
  • Examined both laminar and RANS (Reynolds-averaged Navier–Stokes) models for analysis.
  • Analyzed the process of flow separation at sharp edges and the resulting shear-layer instabilities.
  • Identified systematic differences in resonance predictions between laminar and RANS models.
  • RANS model predicted stronger recirculation zones due to turbulent viscosity effects.
  • Newly identified resonance-side shift where dominant resonance location varies with channel wall draft.

Abstract

This study investigates gap resonance in a floating channel system with emphasis on the role of flow modeling in capturing shear-layer instability and resonance excitation. Resonance frequencies identified by using potential flow theory and subsequently examined through computational fluid dynamics simulations based on both laminar and Reynolds-averaged Navier–Stokes (RANS) models. The results reveal a systematic difference between laminar and RANS models to predict Kelvin–Helmholtz-type shear-layer instability induced by flow separation at the sharp edges. Although both models capture the separation–recirculation–reattachment process, the RANS model predicts a stronger and more coherent recirculation zone due to the inclusion of turbulent viscosity, leading to enhanced momentum exchange and resonance intensity. In addition, a resonance-side shift is newly identified, in which the dominant resonance location shifts between the incident and opposite sides as the channel wall draft varies, reflecting changes in energy penetration and diffraction pathways under viscous flow conditions.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69d49f44b33cc4c35a227b90https://doi.org/10.1063/5.0323489
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