SHD Sim Studies
Calibration / parameter estimation
Fit a model to measured data
Dakota
In development.
This module is phase 4 on paper — but it needs no new backend. The solver behind it is chosen and its capability is known. SHD Sim is available today.
What it is
Fitting model parameters so the simulation matches measured data, by optimisation against the measurement rather than by adjusting numbers until the picture looks right. The honest version reports how well it fits and which parameters were identifiable, because some will not be.
What this analysis needs from you
- Measured data, with a view on its own uncertainty
- Parameters that are physically meaningful rather than arbitrary knobs
- Dakota
Typical uses
- Fitting a turbulence or material model to rig data
- Back-calculating a boundary condition that was not measured
- Validating a model against a test campaign
- Establishing a defensible parameter set for a family of cases
Industries
Sectors where this analysis is routinely asked for.
- Test & validation
- Turbomachinery
- Automotive
- Research & academia
What comes out
- Fitted parameter values
- Goodness-of-fit measures
- Identifiability warnings
- A defensible model for the family
Backend
Dakota
Chosen for this analysis type, with its capability verified against the module plan — not decided later.
Status
Phase 4 on paper — but it needs no new backend. Telling us you need this analysis moves it up the order — modules are sequenced by who is waiting for them.