Challenges
Traditional durability development relies heavily on long-term proving ground testing procedures and empirical adjustments, making it difficult to correlate real-world load data (RLD) with accelerated test conditions and to tailor for new vehicle systems. The project required a consistent, analytical process to quantify damage accumulation and translate it into representative flexible track-based durability cycles.
Using Aether, engineers implemented a complete workflow that integrated RLD data collection, damage accumulation analysis, and analytical cycle synthesis. The framework leveraged statistical load processing and material fatigue modelling to define accelerated whole-vehicle and system-specific durability cycles that maintain correlation with real usage while reducing testing time and cost.
Final thoughts
The deployment of Aether delivered a new analytical methodology for durability target definition, improving prediction accuracy and significantly shortening the validation loop.
This data-driven approach enhanced confidence in structural and component life assessments and established a repeatable standard for future vehicle programs.
Morph®
(2026-03)
2026 Outrigo®
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