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The Perfectly Matched Layer absorbing boundary for fluid-structure interactions using the Immersed Finite Element
Jubiao Yang1, Feimi Yu1, Michael Krane2
1Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, NY 12180.
Journal of Fluids and Structures
|November 21, 2017
Summary
This study demonstrates that Perfectly Matched Layers (PML) are crucial for accurate fluid-structure interaction simulations. Implementing PML ensures correct wave propagation and solid responses without needing excessively large computational domains.
Area of Science:
- Computational fluid dynamics
- Fluid-structure interaction
- Numerical methods
Background:
- Non-reflective boundary conditions are essential for accurate wave propagation in fluid simulations.
- Existing research primarily focuses on fluid dynamics, with limited application in fluid-structure interaction (FSI).
Purpose of the Study:
- To adapt and implement the Perfectly Matched Layer (PML) technique within a fluid-structure interaction numerical framework.
- To demonstrate the necessity of proper boundary conditions for accurate wave propagation and solid behavior in FSI.
- To evaluate the effectiveness of PML in both pure fluid and FSI scenarios.
Main Methods:
- Incorporation of the PML algorithm into a fully-coupled fluid-structure interaction framework using the Immersed Finite Element Method.
- Evaluation of PML performance against reference solutions using benchmark test cases.
- Investigation of PML application in numerical simulations of fluid-structure interaction.
Main Results:
- The Perfectly Matched Layer (PML) technique effectively captures correct wave propagations in fluid flow.
- PML implementation accurately models the interacted solid behavior and responses in FSI.
- Benchmark test cases, including aeroacoustic wave propagation and vortex shedding, validate PML performance.
Conclusions:
- Proper boundary conditions, such as PML, are vital for accurate FSI simulations.
- PML enables accurate simulation of solid deformation and flow fields without requiring large computational domains.
- This work highlights the efficacy and necessity of PML in FSI research.
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