The University of Southampton
University of Southampton Institutional Repository

Error analysis for 1D propagation using Eigen Analysis in General Curvilinear Coordinates

Error analysis for 1D propagation using Eigen Analysis in General Curvilinear Coordinates
Error analysis for 1D propagation using Eigen Analysis in General Curvilinear Coordinates
This paper provides a formal error analysis for acoustic propagation in one-dimension using the Eigen Analysis in General Curvilinear Coordinates (EAGCC) method. The method is shown to be second order accurate in mesh spacing. Different errors are observed in the forward and reverse direction relative to the input wave and equations have been derived that describe the error in each direction. They are composed of three leading order terms related to the first, second, and third derivatives of the Jacobian matrix with respect to distance in the direction of propagation. The EAGCC method has been successfully applied to a number of real engineering applications in three dimensions, but this is the first time a formal error analysis has been attempted. Although the analysis is in one dimension, a discussion is provided regarding the application of the results to three dimensional meshes. The analysis is supported by a range of numerical test-cases which confirm the predicted relationship between the wavenumber and mesh related parameters, and the error. It is demonstrated that local numerical errors act as sources of noise, such that the global error can be calculated as the cumulative effect of all of the local errors along the duct.
Aerospace Research Central
Hawkins, Rhiannon
4c20d297-ac4b-43d6-8fd9-4da3dcc4b371
Wilson, Alexander G.
208d47f4-0a9d-4de3-8e45-07536862d07b
Hawkins, Rhiannon
4c20d297-ac4b-43d6-8fd9-4da3dcc4b371
Wilson, Alexander G.
208d47f4-0a9d-4de3-8e45-07536862d07b

Hawkins, Rhiannon and Wilson, Alexander G. (2021) Error analysis for 1D propagation using Eigen Analysis in General Curvilinear Coordinates. In AIAA 2021. Aerospace Research Central.. (doi:10.2514/6.2021-2298).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper provides a formal error analysis for acoustic propagation in one-dimension using the Eigen Analysis in General Curvilinear Coordinates (EAGCC) method. The method is shown to be second order accurate in mesh spacing. Different errors are observed in the forward and reverse direction relative to the input wave and equations have been derived that describe the error in each direction. They are composed of three leading order terms related to the first, second, and third derivatives of the Jacobian matrix with respect to distance in the direction of propagation. The EAGCC method has been successfully applied to a number of real engineering applications in three dimensions, but this is the first time a formal error analysis has been attempted. Although the analysis is in one dimension, a discussion is provided regarding the application of the results to three dimensional meshes. The analysis is supported by a range of numerical test-cases which confirm the predicted relationship between the wavenumber and mesh related parameters, and the error. It is demonstrated that local numerical errors act as sources of noise, such that the global error can be calculated as the cumulative effect of all of the local errors along the duct.

This record has no associated files available for download.

More information

Published date: 28 July 2021

Identifiers

Local EPrints ID: 489037
URI: http://eprints.soton.ac.uk/id/eprint/489037
PURE UUID: ac14da9e-9199-49fa-b9fa-647ac2725ea4

Catalogue record

Date deposited: 11 Apr 2024 16:49
Last modified: 11 Apr 2024 16:50

Export record

Altmetrics

Contributors

Author: Rhiannon Hawkins

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×