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Published on: August 26, 2019
Input-output inspired method for permissible perturbation amplitude of transitional wall-bounded shear flows
1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA.
This study introduces a new method to determine the maximum perturbation amplitude for laminar flow, offering provable bounds at lower computational costs. The findings align with simulations, enhancing understanding of turbulence transition in wall-bounded shear flows.
Area of Science:
- Fluid dynamics
- Turbulence theory
- Nonlinear dynamics
Background:
- The exact parameters dictating the transition to turbulence in wall-bounded shear flows are not fully understood.
- Existing theoretical bounds often lack consensus with experimental or simulation data.
Purpose of the Study:
- To develop a method for calculating a provable, Reynolds-number-dependent bound on perturbation amplitudes that maintain laminar flow.
- To offer a computationally efficient alternative to existing nonlinear approaches for analyzing flow stability.
Main Methods:
- Utilized an input-output approach, modeling nonlinear dynamics as static feedback within a Lur'e system.
- Constructed quadratic constraints for the nonlinear term, ensuring energy conservation and bounded input-output energy.
- Reformulated stability analysis and perturbation amplitude calculations as linear matrix inequalities (LMIs).
Main Results:
- The derived analytical bounds are consistent with results from extensive simulations.
- The LMI-based approach significantly reduces computational cost compared to sum-of-squares programming.
- The method provides a provable guarantee for the permissible level of perturbations.
Conclusions:
- The proposed framework offers a computationally efficient and provably rigorous method for analyzing laminar flow stability.
- This approach advances the understanding of turbulence transition by providing reliable bounds on flow perturbations.
- The framework is versatile and applicable to energy method computations and linear stability analysis.
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