Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Contributors:
      Shell Global Solutions International BV; Engineering & Physical Science Research Council (EPSRC)
    • Publication Information:
      Elsevier
    • Publication Date:
      2017
    • Collection:
      Imperial College London: Spiral
    • Abstract:
      A generalized finite-volume framework for the solution of fluid flows at all speeds in complex geometries and on unstructured meshes is presented. Starting from an existing pressure-based and fully-coupled formulation for the solution of incompressible flow equations, the additional implementation of pressure–density–energy coupling as well as shock-capturing leads to a novel solver framework which is capable of handling flows at all speeds, including quasi-incompressible, subsonic, transonic and supersonic flows. The proposed numerical framework features an implicit coupling of pressure and velocity, which improves the numerical stability in the presence of complex sources and/or equations of state, as well as an energy equation discretized in conservative form that ensures an accurate prediction of temperature and Mach number across strong shocks. The framework is verified and validated by a large number of test cases, demonstrating the accurate and robust prediction of steady-state and transient flows in the quasi-incompressible as well as subsonic, transonic and supersonic speed regimes on structured and unstructured meshes as well as in complex domains.
    • ISSN:
      1090-2716
    • Relation:
      Journal of Computational Physics; http://hdl.handle.net/10044/1/49117; https://dx.doi.org/10.1016/j.jcp.2017.06.009; PO No. 4550082499; EP/M021556/1
    • Accession Number:
      10.1016/j.jcp.2017.06.009
    • Online Access:
      http://hdl.handle.net/10044/1/49117
      https://doi.org/10.1016/j.jcp.2017.06.009
    • Rights:
      © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
    • Accession Number:
      edsbas.17A561E9