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Coefficient datasets for high-order, stable, and conservative boundary schemes for central and compact finite
Data in Brief
|July 12, 2019
Summary
This study provides stable numerical boundary schemes for finite difference methods. Coefficients for 4th, 6th, and 8th order schemes are detailed, with stability confirmed via numerical tests.
Area of Science:
- Numerical Analysis
- Computational Fluid Dynamics
- Scientific Computing
Background:
- Developing stable and conservative numerical boundary schemes is crucial for accurate simulations using finite difference methods.
- Tuning parameters for high-order schemes (4th, 6th, and 8th) is essential for maintaining stability in computational models.
- Existing methods often require significant parameter tuning, impacting simulation efficiency and reliability.
Purpose of the Study:
- To present and validate stable and conservative numerical boundary schemes for compact and explicit finite difference methods.
- To provide specific coefficient values for 4th, 6th, and 8th order boundary schemes.
- To demonstrate the stability and performance of these schemes through rigorous numerical testing.
Main Methods:
- Implementation of 4th, 6th, and 8th order numerical boundary schemes for finite difference approximations.
- Conducting numerical tests on various hyperbolic systems, including constant and varying coefficient equations.
- Utilizing the compressible Euler equations to simulate inviscid vortex transport.
Main Results:
- The article provides explicit coefficients for the 4th, 6th, and 8th order boundary schemes.
- Numerical tests confirm the stability of the proposed schemes across different hyperbolic systems.
- Error norms are documented for various grid resolutions and time-step constraints, available in accompanying databases.
Conclusions:
- The presented boundary schemes offer a stable and conservative approach for high-order finite difference methods.
- The provided coefficients and numerical validation facilitate the practical application of these schemes.
- This work contributes to more reliable and accurate computational simulations in fluid dynamics and other fields.
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