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Updated: Dec 26, 2025

Magnetically Induced Rotating Rayleigh-Taylor Instability
Published on: March 3, 2017
Pure single-mode Rayleigh-Taylor instability for arbitrary Atwood numbers
Wanhai Liu1,2,3, Xiang Wang4, Xingxia Liu1
1School of Electronic Information and Electrical Engineering, Tianshui Normal University, Tianshui, 741000, China.
This study refines the theoretical solution for nonlinear Rayleigh-Taylor instability (RTI), offering a more accurate model for fluid dynamics. The improved potential function method better predicts RTI evolution compared to classical solutions and simulations.
Area of Science:
- Fluid Dynamics
- Plasma Physics
- Astrophysical Phenomena
Background:
- Nonlinear Rayleigh-Taylor instability (RTI) is crucial in various scientific fields.
- Previous weakly nonlinear solutions for single-mode RTI have limitations.
- Accurate theoretical models are needed for predicting fluid interface evolution.
Purpose of the Study:
- To rigorously solve the single-mode Rayleigh-Taylor instability (RTI) up to the third order.
- To address the deficiencies in classical weakly nonlinear solutions.
- To develop an improved theoretical model for RTI applicable to arbitrary Atwood numbers.
Main Methods:
- Utilized the method of potential functions to solve the nonlinear RTI equations.
- Incorporated both stimulating and inhibiting RTI terms in the potential solution.
- Employed Taylor expansion to simplify expressions and extend the solution's validity range.
- Validated results through comparison with 2D Euler equation numerical simulations.
Main Results:
- The potential solution accurately captures both accelerating and decelerating RTI effects, unlike classical models.
- The derived solution shows better agreement with numerical simulations than the classical approach before saturation.
- The improved theory, using Taylor expansion, effectively predicts interface evolution across linear, weakly nonlinear, and later nonlinear stages.
Conclusions:
- The refined potential function method provides a more accurate theoretical framework for single-mode nonlinear RTI.
- The improved model enhances predictive capabilities for fluid mixing and interface dynamics.
- This work offers a valuable tool for studying phenomena driven by RTI, from laboratory experiments to astrophysical processes.
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