In the real world, aerodynamic coefficients, mass/inertia properties, and initial conditions are never known with full certainty. CFTools' Monte Carlo module models this uncertainty directly, revealing the risk distribution across the full range of possible scenarios.
A single nominal 6-DOF run doesn't reflect the deviations present in real flight conditions. Without jointly accounting for aerodynamic coefficient tolerances, manufacturing-driven mass/inertia variation, and initial velocity/angle deviations, borderline-but-critical scenarios can be missed.
Each source of uncertainty (aerodynamic coefficients, mass, moments of inertia, initial conditions) is defined as a probability distribution, tunable to your engineering tolerances or test data.
Sampling from the defined distributions, a large number of 6-DOF runs are generated and executed automatically, producing a risk distribution that spans the full range of possible separation behavior.
Runs near or violating the safe clearance boundary are flagged automatically, so engineers don't have to manually sweep through thousands of runs to find which scenarios need attention.
Large-volume scenario sweeps run automatically instead of being reviewed one by one — shortening analysis time and increasing the chance of catching edge-case scenarios that manual review could miss. See other use cases.