Abstract
This work presents a face-centred finite volume (FCFV) paradigm for the simulation of compressible flows. The FCFV method defines the unknowns at the face barycentre and uses a hybridisation procedure to eliminate all the degrees of freedom inside the cells. In addition, Riemann solvers are defined implicitly within the expressions of the numerical fluxes. The resulting methodology provides first-order accurate approximations of the conservative quantities, i.e. density, momentum and energy, as well as of the viscous stress tensor and of the heat flux, without the need of any gradient reconstruction procedure. Hence, the FCFV solver preserves the accuracy of the approximation in presence of distorted and highly stretched cells, providing a solver insensitive to mesh quality. In addition, FCFV is capable of constructing non-oscillatory approximations of sharp discontinuities without resorting to shock capturing or limiting techniques. For flows at low Mach number, the method is robust and is capable of computing accurate solutions in the incompressible limit without the need of introducing specific pressure correction strategies. A set of 2D and 3D benchmarks of external flows is presented to validate the methodology in different flow regimes, from inviscid to viscous laminar flows, from transonic to subsonic incompressible flows, demonstrating its potential to handle compressible flows in realistic scenarios.
Highlights
Finite volume (FV) solvers are the most widespread technology within the aerospace community for the simulation of steady-state compressible flows [1, 2]
FV implementations are accessible in many computational fluid dynamics (CFD) platforms, from open-source to commercial and industrial software [3, 4, 5, 6, 7, 8, 9, 10, 11]
The face-centred finite volume (FCFV) paradigm was proposed for a series of linear elliptic partial differential equations (PDEs) [19, 20, 21, 22]
Summary
Finite volume (FV) solvers are the most widespread technology within the aerospace community for the simulation of steady-state compressible flows [1, 2] The success of such methodologies is mainly due to their capability of providing results for large-scale flow problems involving complex geometries by means of overnight simulations. Contrary to traditional first-order CCFV and VCFV paradigms, the FCFV method provides first-order convergence of the deviatoric strain rate tensor and of the gradient of temperature This is achieved without resorting to any flux reconstruction strategy required by traditional second-order CCFV and VCFV approaches.
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