Multi-Disciplinary design and Analysis Framework for Aerial Systems

Consortia will deliver: 1. A robust reference architecture enabling global DT interoperability: federated, standardised data exchange, middleware, catalogues, cross-domain ontologies, secure encryption and access controls. 2. A modular, scalable SoS DT framework for aerial systems including: communications backbone, data compression, governance model, toolsets (recorders, players, launchers, scripting). 3. High-fidelity generic models and hybrid modelling approaches (physics-based, data-driven) with validated V&V frameworks and continuous learning in representative environments. 4. A demonstrator of a full or partial SoS DT use case with two independent performance tests on real operational data. 5. A technology maturation roadmap assessing MBSE and DT-related cost-saving potentials and future mission scenarios. 6. Proposed DT standards: event logs, data formats, measurement strategies, data catalogue aligned to ISO/EN standards with unique measurement IDs. 7. Demonstrated AI capabilities: decision-making support, behavioural models, time-series analytics at component and fleet levels. 8. Delivery of non-technical DT applications: cost overrun management, progress reporting, common model database addressing data ownership and sovereignty. 9. Foundation for a European Defence DT Model Office, DTaaS/MSaaS guidelines and synergies with existing simulation activities. 10. Tangible improvements in fleet availability, reliability, safety, reduced maintenance costs, early risk reduction, certification preparedness and operational superiority.

Proposals must: 1. Study and design a modular SoS DT at sub-system level, progressively building modules from individual aerial system components to a full aerial-system DT. 2. Prioritise modules for aerodynamic, structural, flight-control, embedded software and general-system modelling and their integration in a digital rig to support certification. 3. Define interdisciplinary coupling strategies (aerodynamics, structure, control laws, software, manufacturing, performance) and enable close/loose coupling for multi-disciplinary simulations with full design gradients. 4. Ensure the DT can: couple with physical tests; integrate data-driven models; predict platform behaviour in virtual environments; forecast integration issues; de-risk development and testing. 5. Provide simulation data management ensuring consistency across the design cycle; plan accessible HPC architectures. 6. Demonstrate real-time interconnection of individual DTs with a monitoring/diagnostic dashboard, including data transfer frameworks and feedback loops. 7. Deliver an initial demonstrator: communications backbone demonstrator (toward a European Defence Standard), a set of high-fidelity generic models covering the life cycle and two independent tests using real military data.