Competing Mechanisms at Vibrated Interfaces of Density-Contrast Fluids

ORAL

Abstract

Fluid–fluid interfacial instability and subsequent fluid mixing are ubiquitous in nature and engineering. Two hydrodynamic instabilities have long been thought to govern the interface behavior: the pressure gradient-driven long-wavelength Rayleigh–Taylor (RT) instability and resonance-induced short-wavelength Faraday instability. However, their concurrent action remains poorly understood, as neither instability alone captures the resulting dynamics. Here, we reveal a previously unseen multi-modal instability emerging from their coexistence. Using linear Floquet stability analysis, we show how vibrations govern transitions between the RT and Faraday instabilities, leading to competition rather than resonant enhancement. The initial transient growth is captured by the exponential modal growth of the most unstable Floquet exponent, along with its accompanying periodic behavior. Direct numerical simulations validate these findings and track interface breakup into the multiscale and nonlinear regimes. Critically, we show that growing RT modes nonlinearly suppress Faraday responses, establishing a bidirectional competition that hinders their sustained coexistence.

*SHB acknowledges support of DOE Grant No. DE-NA0003525 subcontracted from Sandia National Labs. This work used the resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725 (PI Bryngelson, allocation CFD154). This work also used Bridges2 at the Pittsburgh Supercomputing Center through allocation TG-PHY210084 (PI Spencer Bryngelson) from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation Grants #2138259, #2138286, #2138307, #2137603, and #2138296. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.

Publication: Preprint: arXiv:2505.23578

Presenters

  • Tianyi Chu

    • Georgia Institute of Technology

Authors

  • Tianyi Chu

    • Georgia Institute of Technology
  • Benjamin Wilfong

    • Georgia Institute of Technology
  • Timothy Koehler

    • Sandia National Laboratories
  • Ryan M McMullen

    • Sandia National Laboratories
  • Spencer H. Bryngelson

    • Georgia Institute of Technology