Correlation
Across all three domains: CFD to tunnel, tunnel to field testing and CFD to field testing, at model scale and full scale.
What we provide
Delivered as one programme, or as one workstream inside yours.
Correlation audit
An existing dataset reviewed: what is comparable, where each disagreement comes from, and a ranked list of fixes.
Methodology correlation
Your CFD process set against measured data, delivered as a validated, repeatable methodology.
Continuous correlation
Each test or event correlated as it happens, expected against actual.
How we correlate
We qualify the reference data: data that cannot be levelled is not used. We level the two setups, modelling or quantifying each difference. We compare on physics, using forces, surface pressures, velocity profiles and contour planes, not a single coefficient. And we localise the disagreement, tracing every delta to a region and a mechanism.
Proven results
Validated on public data: our CFD within 0.008 drag coefficient of a full-scale wind tunnel on the DrivAer reference model, where two tunnels differ by 0.010 on the same model. Four classes of data correlated. Platform correlated on the car to 0.35 mm ride height.
How we engage
Audit: a one-off review of an existing dataset. Project: a defined correlation question, answered. Retained: continuous correlation across a test programme or a season.