Parallel multiscale simulation of hypersonic flow with porous wall injection
Parallel multiscale simulation of hypersonic flow with porous wall injection
High fidelity DNS simulations of the complex flow physics of a hypersonic boundary layer interacting with the coolant flow of a porous surface require a multiscale simulation approach. We employ a high-order hybrid WENO scheme, multiblock domain treatment in conjunction with massively parallel computating and an efficient mesh adaptation methodology to tackle this problem. In the present work, we describe the algorithmic components of our novel approach and show the results reached to date. In particular, the case of a flat plate with coolant injection through thin slots and a flat plate, where coolant injection is provided by the flow transpiring from an underneath layer of distributed porosity, will be discussed. The simulations have been run on the Cray XC30 architecture of the UK supercomputer facility ARCHER using up to 3000-7000 cores. The full flowfield resolution by direct simulation is a challenging but at the same time novel approach in the hypersonic field, and for predicting the performance of wall cooling in high-temperature flow environments in particular.
hypersonic flow, wall cooling, multiscale simulations, adaptive mesh refinement
Cerminara, Adriano
6fd11181-c852-4558-82b5-5f7eac291a3f
Deiterding, Ralf
ce02244b-6651-47e3-8325-2c0a0c9c6314
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
4 June 2019
Cerminara, Adriano
6fd11181-c852-4558-82b5-5f7eac291a3f
Deiterding, Ralf
ce02244b-6651-47e3-8325-2c0a0c9c6314
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Cerminara, Adriano, Deiterding, Ralf and Sandham, Neil
(2019)
Parallel multiscale simulation of hypersonic flow with porous wall injection.
Ivanyi, P. and Topping, B.H.V.
(eds.)
In Proceedings of the Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering.
vol. 112,
Civil-Comp Press.
18 pp
.
(doi:10.4203/ccp.112.11).
Record type:
Conference or Workshop Item
(Paper)
Abstract
High fidelity DNS simulations of the complex flow physics of a hypersonic boundary layer interacting with the coolant flow of a porous surface require a multiscale simulation approach. We employ a high-order hybrid WENO scheme, multiblock domain treatment in conjunction with massively parallel computating and an efficient mesh adaptation methodology to tackle this problem. In the present work, we describe the algorithmic components of our novel approach and show the results reached to date. In particular, the case of a flat plate with coolant injection through thin slots and a flat plate, where coolant injection is provided by the flow transpiring from an underneath layer of distributed porosity, will be discussed. The simulations have been run on the Cray XC30 architecture of the UK supercomputer facility ARCHER using up to 3000-7000 cores. The full flowfield resolution by direct simulation is a challenging but at the same time novel approach in the hypersonic field, and for predicting the performance of wall cooling in high-temperature flow environments in particular.
Text
paper
- Author's Original
Restricted to Repository staff only
Request a copy
Text
cerminara
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Published date: 4 June 2019
Venue - Dates:
Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering, , Pecs, Hungary, 2019-06-04 - 2019-06-05
Keywords:
hypersonic flow, wall cooling, multiscale simulations, adaptive mesh refinement
Identifiers
Local EPrints ID: 431631
URI: http://eprints.soton.ac.uk/id/eprint/431631
PURE UUID: ed7e950c-dde0-41ee-80fd-c67195b78981
Catalogue record
Date deposited: 11 Jun 2019 16:30
Last modified: 16 Mar 2024 04:22
Export record
Altmetrics
Contributors
Author:
Adriano Cerminara
Author:
Neil Sandham
Editor:
P. Ivanyi
Editor:
B.H.V. Topping
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