Overview
CRAHVI is an RTD project (FW5), partly funded by the EU
CRAHVI is a follow up of two previous Brite Euram projects: Design for Crash Survivability (CRASURV), HICAS (High Velocity Impact of Composite Aircraft Structures)
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The Overall objective of CRAHVI is to develop methods and tools to predict the behaviour of aircraft structures subjected to high velocity impacts. Implementation of such methods will promote enhanced safety through damage tolerant aircraft design and the development of crashworthy aircraft concepts.
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The impact scenarios considered in CRAHVI are bird strike on leading edge structures, debris hits (tyre and engine debris on access panel and front spar, respectively), hailstone on composite structure and fuselage impacts on water, soft soil, slopes and flight into obstacles. FE methods will be developed to predict the response of aircraft structure subjected to these impact scenarios. In order to develop the FE methods, models for material, joints, surfaces, impactors are required to be incorporated into the FE simulations. In conjunction with the FE simulation results, stochastic methods will be applied to the impact and crash simulation of aeronautical structures. Local/global and FE methods will be developed to determine the loading on several generic aircraft under realistic crash conditions such as impact on different surfaces, rigid, soft soil, and water with different sea states. This will provide a load database for the cabin env
Funding
Results
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Output from CRAHVI:
Models for materials, joints, impactors and surfaces for use in FE simulations to enable accurate representation of structure behaviour subjected to high velocity impact
Bird models for use in FE simulations and the development of substitute material for the bird
FE methods to simulate flying debris (tyre and engine debris, stone, hail) impacts on metal
Technical Implications
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mso-bidi-font-family:"Times New Roman";}Database (accel, vel, disp, forces) for cabin environment which can be used for the design of innovative cabin safety features with the aim to improve passenger safety
Experimental data generated from tests will be valuable for further research in this area