All parameters given for a drag coefficient convergence study
Gci Calculation
Calculates observed order of accuracy, Richardson extrapolated value, and fine-grid convergence index for a monotonic three-grid study with equal refinement ratio. The template uses a fixed safety factor of 1.25 and requires the three QoI values to show monotonic convergence.
4 fields
2 archetypes
with-tool
5 scored fields
contract fields
Parameter Map
4 inputs to 5 scored outputs
coarse_grid_value
floatQuantity of interest on the coarse grid
-1000000 to 1000000medium_grid_value
floatQuantity of interest on the medium grid
-1000000 to 1000000fine_grid_value
floatQuantity of interest on the fine grid
-1000000 to 1000000refinement_ratio
floatGrid refinement ratio between successive grids
1.01 to 4
Observed order of accuracy
Richardson extrapolated fine-grid value
Approximate relative error between fine and medium grids
Fine-grid convergence index
Asymptotic range ratio
visibility contract
Difficulty Ladder
All parameters given across convergence study types
All parameters given for a pressure-drop convergence study
scenario bands
Archetype Atlas
drag_coefficient
2 contextsMonotonic drag coefficient mesh convergence study
cfd-drag-study / external-flow-model
pressure_drop
2 contextsMonotonic pressure-drop mesh convergence study
duct-cfd-model / pipe-loss-cfd-study
rendered task
Generation Preview
duct-cfd-model-pressure-drop-preview
- difficulty
- hard
- visibility
- all_given
- archetype
- pressure_drop
- site context
- duct-cfd-model
visible fields
- coarse_grid_value380 to 520
- medium_grid_value220 to 260
- fine_grid_value170 to 200
- refinement_ratio1.5 to 2
withheld schema
Monotonic pressure-drop mesh convergence study. duct-cfd-model. Required outputs: observed_order, extrapolated_value, approximate_relative_error_pct, gci_fine_pct, asymptotic_range_ratio