WP2 - Novel analysis methodologies and technologies for improving the safety of the air transport system

WP Leader: Hamburg University of Technology (TUHH)

This work package is dedicated to the development of novel analysis methods and processes for improving the safety of helicopter and aircraft ditching. In the past, model experiments were primarily used to evaluate the ditching loads of airborne vehicles. They are prone to pronounced scale effects and therefore require a significant amount of additional heuristic input. With the rapid advancement of computer hardware and simulation technology, simulation-based investigations will take the lead. Hence, reliable tools and simulation processes have to be developed and industrialised, which support OEMs in the design of a safe vehicle. WP2 will focus on two major aspects, i.e. improved load models and the use of rigorous fluid-structure interaction approaches. The result of the consolidated initiative should be an improved, detailed representation of complex physics (e.g. ventilation, suction, cavitation, ground-aerodynamics) and fluid-structure interactions mechanisms on process level. This will allow evaluating related influences on the vehicle dynamics, trace potential damages experienced during ditching and facilitate targeted risk mitigation/reduction strategies. Within the project, methods developed in WP2 will be used to investigate and understand environmental effects addressed in WP3, design improved structural solutions and assess future designs on configuration level (WP4). Furthermore, benchmarks with generic shapes will be configured to ensure a sustainable quality management for future development efforts.

The work is structured into 7 tasks. The tasks look at multi-phase and environmental phenomena (air, water, vapour and free-surface effects; WP2.4/5), coupled multi-continua strategies (fluid, structure; WP2.3), advancements of high- and lower-fidelity simulation approaches (WP 2.1/2) as well as validation, benchmarking and quality assurance (WP2.6/7).


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 724139.

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