Imperial College London


Faculty of EngineeringDepartment of Aeronautics

Professor of Computational Fluid Mechanics



+44 (0)20 7594 5052s.sherwin Website




313BCity and Guilds BuildingSouth Kensington Campus






BibTex format

author = {Moxey, D and Cantwell, CD and Mengaldo, G and Serson, D and Ekelschot, D and Peiró, J and Sherwin, SJ and Kirby, RM},
doi = {10.1007/978-3-319-65870-4_4},
pages = {63--79},
publisher = {Springer International Publishing AG},
title = {Towards p-adaptive spectral/hp element methods for modelling industrial flows},
url = {},
year = {2017}

RIS format (EndNote, RefMan)

AB - 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.
AU - Moxey,D
AU - Cantwell,CD
AU - Mengaldo,G
AU - Serson,D
AU - Ekelschot,D
AU - Peiró,J
AU - Sherwin,SJ
AU - Kirby,RM
DO - 10.1007/978-3-319-65870-4_4
EP - 79
PB - Springer International Publishing AG
PY - 2017///
SN - 1439-7358
SP - 63
TI - Towards p-adaptive spectral/hp element methods for modelling industrial flows
UR -
UR -
ER -