incompact3d

Incompact3d: A powerful tool to tackle turbulence problems with up to O(10 5 ) computational cores. Understanding the nature of complex turbulent flows remains one of the most challenging problems in classical physics. Significant progress has been made recently using high performance computing, and computational fluid dynamics is now a credible alternative to experiments and theories in order to understand the rich physics of turbulence. In this paper, we present an efficient numerical tool called Incompact3d that can be coupled with massive parallel platforms in order to simulate turbulence problems with as much complexity as possible, using up to O(10 5 ) computational cores by means of direct numerical simulation (DNS). DNS is the simplest approach conceptually to investigate turbulence, featuring the highest temporal and spatial accuracy and it requires extraordinary powerful resources. This paper is an extension of Laizet et al.(Comput. Fluids 2010; 39(3):471 – 484) where the authors proposed a strategy to run DNS with up to 1024 computational cores


References in zbMATH (referenced in 31 articles , 1 standard article )

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  1. Chen, Jinqiang; Yu, Peixiang; Ouyang, Hua; Tian, Zhen F.: A novel parallel computing strategy for compact difference schemes with consistent accuracy and dispersion (2021)
  2. Frantz, Ricardo A. S.; Deskos, Georgios; Laizet, Sylvain; Silvestrini, Jorge H.: High-fidelity simulations of gravity currents using a high-order finite-difference spectral vanishing viscosity approach (2021)
  3. Giannenas, Athanasios Emmanouil; Laizet, Sylvain: A simple and scalable immersed boundary method for high-fidelity simulations of fixed and moving objects on a Cartesian mesh (2021)
  4. Lamballais, Eric; Cruz, Rodrigo Vicente; Perrin, Rodolphe: Viscous and hyperviscous filtering for direct and large-eddy simulation (2021)
  5. Mahfoze, Omar A.; Laizet, Sylvain: Non-explicit large eddy simulations of turbulent channel flows from (R e_\tau= 180) up to (R e_\tau= 5 , 200) (2021)
  6. Narváez, G. F.; Lamballais, E.; Schettini, E. B.: Simulation of turbulent flow subjected to conjugate heat transfer \textitviaa dual immersed boundary method (2021)
  7. Pinier, Benoît; Lewandowski, Roger; Mémin, Etienne; Chandramouli, Pranav: Testing a one-closure equation turbulence model in neutral boundary layers (2021)
  8. Voet, Laurens J. A.; Ahlfeld, Richard; Gaymann, Audrey; Laizet, Sylvain; Montomoli, Francesco: A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling (2021)
  9. Bartholomew, P.; Deskos, G.; Frantz, R.; Schuch, F.; Lamballais, E.; Laizet, S.: Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh (2020) not zbMATH
  10. Xiao, Heng; Wu, Jin-Long; Laizet, Sylvain; Duan, Lian: Flows over periodic hills of parameterized geometries: a dataset for data-driven turbulence modeling from direct simulations (2020)
  11. Angeli, D.; Stalio, E.: A fast algorithm for direct numerical simulation of turbulent convection with immersed boundaries (2019)
  12. Moise, Pradeep; Mathew, Joseph: Bubble and conical forms of vortex breakdown in swirling jets (2019)
  13. Wu, Jin-Long; Sun, Rui; Laizet, Sylvain; Xiao, Heng: Representation of stress tensor perturbations with application in machine-learning-assisted turbulence modeling (2019)
  14. Wu, Jinlong; Xiao, Heng; Sun, Rui; Wang, Qiqi: Reynolds-averaged Navier-Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned (2019)
  15. Zhou, Yi; Nagata, Koji; Sakai, Yasuhiko; Watanabe, Tomoaki: Extreme events and non-Kolmogorov (-5/3) spectra in turbulent flows behind two side-by-side square cylinders (2019)
  16. Chandramouli, Pranav; Heitz, Dominique; Laizet, Sylvain; Mémin, Etienne: Coarse large-eddy simulations in a transitional wake flow with flow models under location uncertainty (2018)
  17. Yao, Jie; Chen, Xi; Hussain, Fazle: Drag control in wall-bounded turbulent flows via spanwise opposed wall-jet forcing (2018)
  18. Abide, S.; Binous, M. S.; Zeghmati, B.: An efficient parallel high-order compact scheme for the 3D incompressible Navier-Stokes equations (2017)
  19. Capuano, F.; Mastellone, A.; De Angelis, E. M.: A conservative overlap method for multi-block parallelization of compact finite-volume schemes (2017)
  20. Dairay, Thibault; Lamballais, Eric; Laizet, Sylvain; Vassilicos, John Christos: Numerical dissipation vs. subgrid-scale modelling for large eddy simulation (2017)

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