Towards p-Adaptive Spectral/hp Element Methods for Modelling Industrial Flows
Abstract
There is an increasing requirement from both academia and industry for high-fidelity flow simulations that are able to accurately capture complicated and transient flow dynamics in complex geometries. Coupled with the growing availability of high-performance, highly parallel computing resources, there is therefore a demand for scalable numerical methods and corresponding software frameworks which can deliver the next-generation of complex and detailed fluid simulations to scientists and engineers in an efficient way. In this article we discuss recent and upcoming advances in the use of the spectral/hp element method for addressing these modelling challenges. To use these methods efficiently for such applications, is critical that computational resolution is placed in the regions of the flow where it is needed most, which is often not known a priori. We propose the use of spatially and temporally varying polynomial order, coupled with appropriate error estimators, as key requirements in permitting these methods to achieve computationally efficient high-fidelity solutions to complex flow problems in the fluid dynamics community.
Additional Information
© 2017 Springer International Publishing AG. First Online: 17 August 2017. D.M. acknowledges support from the EU Horizon 2020 project ExaFLOW (grant 671571) and the PRISM project under EPSRC grant EP/L000407/1. D.S. is grateful for the support received from CNPq (grant 231787/2013–8) and FAPESP (grant 2012/23493-0). D.E. acknowledges support from the EU ITN project ANADE (grant PITN-GA-289428). S.J.S. acknowledges Royal Academy of Engineering support under their research chair scheme. R.M.K. acknowledges support from the US Army Research Office under W911NF1510222 (overseen by Dr. M. Coyle). Computing resources supported by the UK Turbulence Consortium (EPSRC grant EP/L000261/1) and the Imperial College HPC service.Additional details
- Eprint ID
- 83489
- DOI
- 10.1007/978-3-319-65870-4_4
- Resolver ID
- CaltechAUTHORS:20171128-091234987
- 671571
- European Research Council (ERC)
- EP/L000407/1
- Engineering and Physical Sciences Research Council (EPSRC)
- 231787/2013-8
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
- 2012/23493-0
- Fundação de Amparo à Pesquisa do Estado de Sao Paulo (FAPESP)
- PITN-GA-289428
- European Commission
- Royal Academy of Engineering
- W911NF1510222
- Army Research Office (ARO)
- EP/L000261/1
- Engineering and Physical Sciences Research Council (EPSRC)
- Imperial College London
- Created
-
2017-11-28Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field
- Series Name
- Lecture Notes in Computational Science and Engineering
- Series Volume or Issue Number
- 119