Chinese Journal of Aeronautics · 2022 · 19 citations · 11 references
EngineeringAerospace EngineeringSystems EngineeringAircraft DesignFlight DynamicsFlight MechanicsAircraft StabilityReliability ModelingAircraft Stability AnalysisArrested Landing DynamicsRebound AnalysisSupport Vector ClassificationSupport Vector Machine ClassificationSupport Vector RegressionSurrogate Model ConstructionSurrogate Model Validation
The carrier-based aircraft landing and arrest process is complex and nonlinear, and includes the coupling effect between the aircraft and arresting system. It has many uncertain factors, which lead to difficulty in the reliability analysis. To make the reliability analysis more accurate and effective, this paper presents some studies. Taking a certain type of carrier-based aircraft as the research object, a dynamic model of the landing and arrest cable was established, and the accuracy of the model was verified using laboratory test results. Based on the model, this paper shows how the key parameters, including the sinking velocity, pitch angle and horizontal velocity, affect the collision rebound performance of the arresting hook. After that, a limit state equation of the arresting hook system’s reliability was established. For the implicit limit state equation, a surrogate model of the reliability of the arresting hook was established using the Support Vector Machine (SVM) method, and then reliability analysis was carried out using the Monte Carlo method. Finally, it was explained in detail how the key parameters affect the reliability of the hook engaging the arresting cable, and some meaningful conclusions were obtained. This analysis method and its results can provide a reference for the top-level parameter design of carrier-based aircraft and reliability research on the arresting systems.
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An overview of statistical learning theory
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