Use case AutomotiveDurability
Durability & road load data acquisition
BOOK A DEMO 30% fewer proving ground days
100% of model inputs traceable to configuration
100% of load events queryable
Load data is trapped on the acquisition system
- Durability engineers run proving ground and road programmes to capture real-world load inputs for FEA and fatigue life models
- Acquisition systems log multi-channel strain, force, and accelerometer data across hundreds of hours of driving
- This data feeds the virtual proving ground and drives component sign-off decisions
Today, load data arrives without context
- RLD files are large, stored on acquisition systems, and transferred manually to analysis teams after each run
- Linking specific load events to the vehicle configuration, tyre spec, and load state at that moment is not done systematically
- Reusing previous RLD datasets as boundary conditions for new FEA models requires locating files and trusting metadata
Quix attaches context at capture
- Quix ingests acquisition data in real time and attaches configuration context at capture, not in post-processing
- Individual load events are queryable by severity, type, and configuration across hundreds of hours of data
- Historical RLD datasets are reusable as direct model inputs with structural, built-in provenance
Traceable inputs, fewer test days
- FEA and fatigue model inputs are always traceable to a specific vehicle and configuration state
- Test programme efficiency improves because equivalent load coverage is achieved in fewer proving ground days
- Component sign-off decisions are grounded in complete, auditable load histories rather than samples