From FDS to CFAST in about a second: can a zone model predict your FDS results before you run them?
We converted FDS inputs to CFAST automatically and compared CFAST, FDS 6.11.1 and experiments on 6 fire cases. Results, limits and speed-up.
We converted FDS inputs to CFAST automatically and compared CFAST, FDS 6.11.1 and experiments on 6 fire cases. Results, limits and speed-up.
TL;DR Why this case In October we released precice_aster, a GPL-3.0 connector that couples code_aster to OpenFOAM, CalculiX and any other preCICE participant, for both fluidโstructure interaction (FSI) and conjugate heat transfer. We presented it in a webinar with AsterLab and validated it on the preCICE tutorials: the perpendicular flap, Read more
TL;DR New solver on cloudHPC: Kratos Multiphysics 10.4.2 (KratosMultiphysics-10.4.2). Upload a folder with ProjectParameters.json, the .mdpa mesh and the materials file, pick an instance and run: structural, fluid, FSI, DEM, MPM, convectionโdiffusion and co-simulation applications are ready to use, with no installation and no compilation. To validate it we ran Read more
TL;DR Why this comparison Every rotating-machinery CFD job starts with the same choice: freeze the rotor in a multiple reference frame (MRF) and run steady, or actually move the mesh and pay for a transient run. OpenFOAM now offers two mature sliding-mesh interfaces that live in the two OpenFOAM distributions: Read more
How to model a jet fan that is not aligned with the FDS grid: louvered UVW vents vs a rotated GEOM fan, tested on cloudHPC with 5 LES runs, jet angles and costs.
Palabos (lattice Boltzmann) vs OpenFOAM on cloudHPC: cylinder validation and a 256ยณ TaylorโGreen vortex with run times, scaling and real costs.
LIGGGHTS vs LAMMPS on the same DEM cases: Hertz impact, Beverloo silo discharge, column collapse and scaling to 192 cores. Results, costs, pitfalls.
We ran four structural problems with code_aster and OpenCourant on cloudHPC. Impact and crash belong to OpenCourant, static and creep to code_aster, and the error messages show why.
We ran the 1.5-million-element CCSA Toyota Yaris LS-DYNA model in OpenCourant on cloudHPC: 45 g peak deceleration, 591 mm crush, and 85โ95% parallel efficiency up to 96 cores.
We ran seven FDS Validation Guide cases with FDS 6.9.1, 6.10.1 and 6.11.1 on cloudHPC. 6.11.1 predicts hotter small-room layers and cooler flames; large-compartment results do not change.