Abstract
The study deals with the development of a nonlinear ejector force model and its implementation in a store ejection aircraft dynamic loads simulation. Such a model is needed since the performance of store ejector units in real employment maneuver conditions are often found to be different from the force profiles that are measured in ground ejection tests, where aircraft structural responses and store aerodynamic and inertial loading effects are not captured. Without a reliable predictive ejector force model, store separation and ejection loads simulations for new certified stores may only be calibrated and validated for specific employment conditions at which flight tests are conducted. To overcome this gap, statistical considerations or increased safety margins are used in the certification processes, which might lead to unnecessary operational limitations or increased demand for flight test activities. The developed ejector force model is a nonlinear artificial neural network model, which is purely data driven, as the model is trained based on ground ejection test measurements. The model is coupled with a structural response solution and a simplified store trajectory solution by introduction of an effective piston stroke parameter, which is calculated based on the ejector and store responses to the applied forces and fed back into the ejector model. The nonlinear, coupled ejector-structural response-store trajectory simulation is performed using an iterative scheme, until the ejection forces are converged. The model is validated using a single-carriage store ejection test case of the F-16 aircraft for which ground ejection and flight test data is available.
Original language | English |
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Pages | 846-865 |
Number of pages | 20 |
State | Published - 2020 |
Event | 60th Israel Annual Conference on Aerospace Sciences, IACAS 2020 - Tel Aviv and Haifa, Israel Duration: 4 Mar 2020 → 5 Mar 2020 |
Conference
Conference | 60th Israel Annual Conference on Aerospace Sciences, IACAS 2020 |
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Country/Territory | Israel |
City | Tel Aviv and Haifa |
Period | 4/03/20 → 5/03/20 |
All Science Journal Classification (ASJC) codes
- Aerospace Engineering