The boundary data immersion method for compressible flows with application to aeroacoustics
- 1. Faculty for Engineering and the Environment, University of Southampton, SO17 1BJ Southampton (United Kingdom)
- 2. Department of Mechanical Engineering, University of Melbourne, Melbourne VIC 3010 (Australia)
Description
This paper introduces a virtual boundary method for compressible viscous fluid flow that is capable of accurately representing moving bodies in flow and aeroacoustic simulations. The method is the compressible extension of the boundary data immersion method (BDIM, Maertens & Weymouth (2015), ). The BDIM equations for the compressible Navier–Stokes equations are derived and the accuracy of the method for the hydrodynamic representation of solid bodies is demonstrated with challenging test cases, including a fully turbulent boundary layer flow and a supersonic instability wave. In addition we show that the compressible BDIM is able to accurately represent noise radiation from moving bodies and flow induced noise generation without any penalty in allowable time step.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jcp.2016.12.050Additional details
Identifiers
- DOI
- 10.1016/j.jcp.2016.12.050;
- PII
- S0021-9991(16)30714-8;
Publishing Information
- Journal Title
- Journal of Computational Physics
- Journal Volume
- 333
- Journal Page Range
- p. 440-461
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48069580
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Descriptors DEI
- ACCURACY; BOUNDARY LAYERS; CHARGES; COMPRESSIBLE FLOW; COMPUTERIZED SIMULATION; FLUIDS; HYDRODYNAMICS; INSTABILITY; NAVIER-STOKES EQUATIONS; NOISE; SOLIDS
- Descriptors DEC
- DIFFERENTIAL EQUATIONS; EQUATIONS; FLUID FLOW; FLUID MECHANICS; LAYERS; MECHANICS; PARTIAL DIFFERENTIAL EQUATIONS; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.