Skip to content

DINO logo - Documentation

Introduction

Welcome to the official DINO documentation — a comprehensive guide designed to help both new and experienced users perform Direct Numerical Simulations (DNS) of turbulent reactive flows using DINO.

Most reacting and two-phase flows of practical relevance are turbulent and occur under low-Mach-number or incompressible conditions. To investigate such complex phenomena with high accuracy and feasible computational cost, the DINO code has been developed as a dedicated tool for DNS of reacting and multiphase flows.

This documentation provides an overview of:

  • DINO Installation

    Install DINO and its dependencies via CMake on any HPC system

    Installation

  • Code Structure and Components

    Understand how DINO is structured and which components are incorporated in the code

    Code Structure

  • Simulation Configuration

    Learn how to configure your simulation to your needs

    Input Files

  • Tutorials

    Run your first simulations with the help of detailed tutorials that build up your DINO expertise step-by-step

    Tutorials

To handle increasingly complex flow configurations, DINO includes a Direct Boundary Immersed Boundary Method (DB-IBM), enabling the representation ofarbitrary geometries on a fixed (possibly refined) Cartesian mesh. A Direct Force IBM is also available for resolving large moving spherical particles (larger than the Kolmogorov scale) directly on the grid. For sub-Kolmogorov particles, a point-particle approach is employed, accounting for heat and mass transfer with the continuous flow..

The code is efficiently parallelized using the open-source library 2DECOMP & FFT, which allows the Poisson equation to be solved rapidly and accurately by Fast Fourier Transforms (FFT), even under non-periodic boundary conditions.

Thanks to its flexibility and numerical robustness, DINO serves as a powerful research tool for studying a wide range of turbulent reacting and two-phase flow problems.

This user guide is intended for users who wish to run simulations or make code modifications. A detailed description of all implemented schemes and methods can be found in the original DINO publication 1. Recent applications of DINO are documented in 23456789101112.

  1. A. Abdelsamie, G. Fru, T. Oster, F. Dietzsch, G. Janiga, and D. Thévenin. Towards direct numerical simulations of low-mach number turbulent reacting and two-phase flows using immersed boundaries. Computers & Fluids, 131:123 – 141, 2016. ↩

  2. A. Abdelsamie and D. Thévenin. On the behavior of spray combustion in a turbulent spatially-evolving jet investigated by direct numerical simulation. Proceedings of the Combustion Institute, 2018. ↩

  3. C. Chi, G. Janiga, K. Zähringer, and D. Thévenin. Dns study of the optimal heat release rate marker in premixed methane flames. Proceedings of the Combustion Institute, 2018. ↩

  4. C. Chi, A. Abdelsamie, and D. Thévenin. Direct numerical simulations of hotspot-induced ignition in homogeneous hydrogen-air pre-mixtures and ignition spot tracking. Flow, Turbulence and Combustion, 101(1):103–121, 2018. ↩

  5. T. Oster, A. Abdelsamie, M. Motejat, T. Gerrits, C. Rössl, D. Thévenin, and H. Theisel. On-the-fly tracking of flame surfaces for the visual analysis of combustion processes. Computer Graphics Forum, 37(6):358–369, 2018. ↩

  6. H. Zhou, J. You, S. Xiong, Y. Yang, D. Thévenin, and S. Chen. Interactions between the premixed flame front and the three-dimensional taylor-green vortex. Proceedings of the Combustion Institute, 2018. ↩

  7. A. Abdelsamie. and D. Thévenin. Direct numerical simulation of spray evaporation and autoignition in a temporally-evolving jet. Proceedings of the Combustion Institute, 36(2):2493 – 2502, 2017. ↩

  8. A. Abdelsamie, G. Janiga, and D. Thévenin. Spectral entropy as a flow state indicator. International Journal of Heat and Fluid Flow, 68:102 – 113, 2017. ↩

  9. A. Abdelsamie, D. O. Lignell, and D. Thévenin. Comparison between odt and dns for ignition occurrence in turbulent premixed jet combustion: safety-relevant applications. Zeitschrift für Physikalische Chemie, 231:1709, 2017. ↩

  10. C. Chi, G. Janiga, A. Abdelsamie, K. Zähringer, T. Turányi, and D. Thévenin. Dns study of the optimal chemical markers for heat release in syngas flames. Flow, Turbulence and Combustion, 98(4):1117–1132, 2017. ↩

  11. R. Schießl, V. Bykov, U. Maas, A. Abdelsamie, and D. Thévenin. Implementing multi-directional molecular diffusion terms into reaction diffusion manifolds (redims). Proceedings of the Combustion Institute, 36(1):673 – 679, 2017. ↩

  12. K.K.J. Ranga Dinesh, H. Shalaby, K.H. Luo, J.A. van Oijen, and D. Thévenin. Heat release rate variations in high hydrogen content premixed syngas flames at elevated pressures: effect of equivalence ratio. International Journal of Hydrogen Energy, 42(10):7029 – 7044, 2017. ↩