Imperial College London
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DrGeorgiosRigas

Faculty of Engineering, Department of Aeronautics

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5065g.rigas CV

 
 
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Location

 

327City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Poulain:2023:10.1016/j.cpc.2022.108557,
author = {Poulain, A and Content, C and Sipp, D and Rigas, G and Garnier, E},
doi = {10.1016/j.cpc.2022.108557},
journal = {Computer Physics Communications},
pages = {1--23},
title = {BROADCAST: A high-order compressible CFD toolbox for stability and sensitivity using Algorithmic Differentiation},
url = {http://dx.doi.org/10.1016/j.cpc.2022.108557},
volume = {283},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The evolution of any complex dynamical system is described by its state derivative operators. However, the extraction of the exact N-order state derivative operators is often inaccurate and requires approximations. The open-source CFD (Computational Fluid Dynamics) code called BROADCAST discretises the compressible Navier-Stokes equations and then extracts the linearised N-derivative operators through Algorithmic Differentiation (AD) providing a toolbox for laminar flow dynamics. Furthermore, the gradients through adjoint derivation are extracted either by transposition of the linearised operator or through the backward mode of the AD tool. The software includes base-flow computation and linear global stability analysis via eigen-decomposition of the linearised operator or via singular value decomposition of the resolvent operator. Sensitivity tools as well as weakly nonlinear analysis complete the package. The numerical method for the spatial discretisation of the equations consists of a finite-difference high-order shock-capturing scheme applied within a finite volume framework on 2D curvilinear structured grids. The stability and sensitivity tools are demonstrated on two cases: a cylinder flow at low Mach number and a hypersonic boundary layer.
AU  - Poulain,A
AU  - Content,C
AU  - Sipp,D
AU  - Rigas,G
AU  - Garnier,E
DO  - 10.1016/j.cpc.2022.108557
EP  - 23
PY  - 2023///
SN  - 0010-4655
SP  - 1
TI  - BROADCAST: A high-order compressible CFD toolbox for stability and sensitivity using Algorithmic Differentiation
T2  - Computer Physics Communications
UR  - http://dx.doi.org/10.1016/j.cpc.2022.108557
UR  - https://www.sciencedirect.com/science/article/pii/S0010465522002764?via%3Dihub
VL  - 283
ER  -
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