Military vehicle dynamics simulation, beyond measurement machine limits.

Standard measurement machines don't cover the full operating domain of military vehicles. MICHELIN SIMIX is the first and only solution enabling full-perimeter tire models. Combining physical measurements with physics-based simulation to go beyond the limits of standard 
tire measurement machines.

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Frequently encountered pain points

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Oversized defense tires, blind domains
Defense and military vehicles rely on oversized, highly loaded tires that cannot be fully characterized using standard measurement machines.
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Why standard tire models fall short on military vehicles
Standard tire datasets stop around zero slip, ignore combined forces, and never reach the non-linear zones encountered in real operations.
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Critical decisions built on weak data
When tire behavior is wrong, vehicle dynamics simulation loses credibility and test campaigns are run without reliable guidance.

the measurement gap:
where standard machines stop

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Standard tire testing machines only capture a limited portion of tire behavior.

For oversized defense tires, measurements are typically restricted to a narrow linear region around small slip angles. The non-linear domains, where tire forces evolve significantly, remain largely unmeasured. This creates a measurement gap: simulations rely on partial data, while critical tire dynamics occur in the missing regions.

tire measure curves

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The only full-perimeter tire models for defense vehicle dynamics

Finally simulate military vehicles 
where it was never possible before
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MICHELIN SIMIX enables reliable defense vehicle dynamics simulation by removing a long-standing blind spot :
The inability to model large military tires across their full operational domain. We deliver high-fidelity tire datasets and derisking services specifically designed for defense and military vehicles, where conventional measurement and modeling approaches reach their limits.
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The blind spots we eliminate in
 defense vehicle simulation
Our approach directly addresses the core limitations that have historically blocked simulation in defense mobility:
  • Tire behavior beyond the measurable domain of standard machines
  • Very high vertical loads combined with large slip angles and 
combined X / Y / Z forces
  • Strongly non-linear behavior reached during real maneuvers
  • The mismatch between lab-based measurements and real military vehicle solicitations
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With MICHELIN SIMIX, 
defense programs get:
  • Simulation-ready Pacejka MF tire models covering the full operational perimeter
  • Trusted inputs for vehicle dynamics and derisking activities
  • The ability to assess stability, braking and avoidance maneuvers with realistic margins
  • A solid technical foundation to support vehicle-level and program-level decisions
The result is not more simulation. But simulation that decision-makers can trust

How we model what cannot
 be physically measured

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1
Measure what can 
be measured
We perform partial but reliable physical measurements on the actual defense tire, within feasible load and slip limits
2
Correlate real and virtual measurements
Numerical simulations are calibrated and validated against real measurements on the shared, known domain
3
Validate digital laws on a fully measurable tire
A different, smaller tire, fully measurable across the entire operating domain, is used to validate digital extrapolation laws in non-linear regions
4
Scale and consolidate for the defense tire
Real and virtual data are combined and scaled to generate a full-perimeter tire dataset for the actual military tire. This combined real + virtual approach delivers trusted datasets, even where physical measurement alone is impossible

simix approach

Closing the gap with unprecedented,

 simulation-ready models

By combining physical testing and advanced numerical methods, we generate fully correlated tire datasets across the entire operating domain, including non-linear regions.
Each dataset captures the tire’s key functional characteristics: longitudinal, lateral, combined forces and moments, making tire behavior fully tangible and directly usable in simulation. With all this expertise, we’ are able to provide reliable data from real-world constraints to complete vehicle dynamics simulation.
This enables the delivery of unprecedented quality datasets such as Pacejka MF-Tyre 5.2 and 6.2, CDTire, FTire, compatible with all major simulation tools.

simix approach

Remove uncertainty from
your defense vehicle simulations

MICHELIN SIMIX enables reliable simulation where standard data and measurements fall short, 
so you can derisk critical decisions before field trials.

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Questions defense teams ask before trusting simulation

Why is tire modeling for defense vehicles different from civilian vehicles?
Defense vehicle tires are larger, more heavily loaded, and operate under combined forces that exceed the limits of standard measurement machines.
Why are historical military tire datasets insufficient?
They rely on averaged characteristics around zero slip and never reach the non-linear zones encountered in real military maneuvers.
What makes MICHELIN SIMIX different from free or generic defense datasets?
MICHELIN SIMIX datasets cover the full operational domain, including combined forces and non-linear behavior, not just limited, averaged regions.
Is MICHELIN SIMIX really the only solution enabling this today?
There might be other suppliers providing datasets for Defense Mobility,  however MICHELIN SIMIX is probably the only one to be able to combine real and virtual measurements and a full understanding of the tire design to deliver Pacejka MF-Tire models on the full operating perimeter. 
Why do standard MF-Tire datasets fail on military vehicle configurations?
Standard MF-Tire datasets are built from bench measurements and every bench has a physical operating envelope. Large military tires, high vertical loads, high slip angles, combined XYZ forces, soft soil conditions: these all sit outside what standard machines can measure.
The result is a dataset with a limited perimeter. It fits well within the measured domain. Beyond it, the model extrapolates without physical grounding, or simply has no data at all.
MICHELIN SIMIX addresses this by combining physical measurements with physics-based simulation (FEM and functional models), calibrated on the measurable domain and extended into the full operating range.