4. DAKOTA-OpenFOAM optimization loop | Restarting cases and simulation failure capturing

This video presents the second part of a blunt body shape optimization case, focusing on restarting cases and capturing simulation failures. In this demo, we use Salome for geometry and mesh generation, OpenFOAM 11 as the solver, bash scripting and Python for automatic post-processing, Python for plotting, and DAKOTA 6.19.0 for optimization and orchestration. 00:00 The blunt body shape optimization case - Preliminaries 00:45 The case base 03:20 A reminder of what are we doing 06:24 DAKOTA's output format - How to feed information to DAKOTA 08:40 Some remarks on DAKOTA-s documentation 09:40 DAKOTA's input file 18:20 On the simulator script 25:20 Let's launch the optimization case - Real-time simulation 30:00 The final solution 33:20 Let's do some post-processing 38:24 On the quantitative data manipulation and post-processing | Bash scripting 40:20 The params.in and resluts.out files | DAKOTA's input and output files 40:44 Final remarks - Main takeaways 42:42 Cleaning up the case directory 43:25 Simulator script execution permission