B 03

Modelling and Simulation of Shotcrete 3D Printing (SC3DP) Based on a Massively Parallel Multi-Phase, Multi-Component Coupled LBM-DEM Approach

Prof. Dr.-Ing. Manfred Krafczyk, Project leader
Prof. Dr. rer. nat. Martin Geier, Project leader

Dr.-Ing. Konstantin Kutscher

Summary of B 03

In this project we will develop a coupled simulation approach for the shotcrete pro-cess to predict the performance of a specific shotcrete nozzle geometry and the resulting jet dynamics as a function of the additive mixing within the nozzle and during the jet propagation. The model includes multiple components and phases as well as individual grains which are being advected with the mixture. A realistic stress-strain relationship will be developed to recover the correct non-Newtonian behaviour of the mixture including its thixotropic properties. The fully coupled si-mulation will serve to predict the behaviour of the shotcrete printer to be develo- ped in A04.

Prof. Dr.-Ing. Manfred Krafczyk

is responsible for WPs 3-5 and contributes to HPC and setup related aspects of the corresponding simulations. He advises Dr. Kutscher in conducting the simulations and the analysis of the results. He also takes responsibility for the data exchange with other projects within the TRR.

kraft(at)irmb.tu-bs.de

Prof. Dr. rer. nat. Martin Geier

will substantially contribute to model development and implementation related aspects of WPs 1-2 and will contribute to the analysis of simulation results with special focus on WP 5.

geier(at)irmb.tu-bs.de

Dr.-Ing. Konstantin Kutscher

is the lead developer of the VirtualFluids software. In this function he is indispensable for the project as a new doc. res. could not possibly extend the existing framework (>700,000 lines of code) with the new models to be developed and adapted in WP 1-4. He is also experienced in conducting massively parallel runs on THIER-0 systems and analyzing huge data sets with more than 10¹⁰degrees of freedom.

kutscher(at)irmb.tu-bs.de

2021 | Lallemand, P.; Luo, L.; Krafczyk, M.; Yong, W.: The lattice Boltzmann method for nearly incompressible flows. In: Journal of Computational Physics 431 (2021), doi.org/10.1016/j.jpc.2020.109713

2020 | Geier, M.; Lenz, S.; Schönherr, M.; Krafczyk, M.: Under-resolved and large eddy simulations of a decaying Taylor-Green vortex with the cumulant lattice Boltzmann method. In: Theoretical and Computational Fluid, Dynamics 35, 169-208, 2021.

2018 | Amirshaghaghi, H.; Hassan Rahimian, M.; Safari, H.; Krafczyk, M.: Large Eddy Simulation of liquid sheet breakup using a two-phase lattice Boltzmann method. In: Computers & Fluids 160 : 93-107.

2018 | Geier, M.; Pasquali, A.: Fourth order Galilean invariance for the lattice Boltzmann method. In: Computers & Fluids, 166,: 139-151.

2018 | Kutscher, K.; Geier, M.; Krafczyk, M.: Multiscale simulation of turbulent flow interacting with porous media based on a massively parallel implementation of the cumulant Lattice Boltzmann method. In: Computers & Fluids: accepted, article in press.

2017 | Geier, M.; Pasquali, A.; Schönherr, M.: Parametrization of cumulant lattice Boltzmann method for fourth order accurate diffusion part I: Derivation and validation. In: Journal of Computational Physics, 348,: 862-888.

2016 | Fakhari, A.; Geier, M.; Lee, T.: A mass-conserving lattice Boltzmann method with dynamic grid refinement for immiscible two-phase flows. In: Journal of Computational Physics 315: 434- 457.

2016 | Kian Far, E.; Geier, M.; Kutscher, K.; Krafczyk, M.: Simulation of micro aggregate breakage in turbulent flows by the cumulant lattice Boltzmann method. In: Computers & Fluids, 140: 222- 231.

2015 | Geier, M.; Fakhari, A.; Lee, T.: Conservative phasefield lattice Boltzmann model for interface tracking equation. In: Physical Review E 91.6: 063309.

2015 | Geier, M.; Schönherr; Pasquali, A.; Krafczyk, M.: The cumulant lattice Boltzmann equation in three dimensions: Theory and validation, Computers & Mathematics with Applications, 70, vol. 4,: 507-547.

2013 | Geller, S.; Uphoff, S.; Krafczyk, M.: Turbulent jet computations based on MRT and Cascaded Lattice Boltzmann models. In: Computers & Mathematics with Applications 65.12: 1956-1966.