Abstract
A functional reliability simulation method based on the Kriging model is proposed to efficiently evaluate the functional reliability of low-shock separation nuts. First, a deterministic separation function simulation model of the separation nut is established. Second, the working load, geometric dimensions and propellant combustion parameters are introduced to establish the nonlinear implicit function of the separation nut in different separation stages, and the Kriging model is used to display the function. Finally, the functional reliability simulation workflow of the separation nut is established, and reliability and sensitivity analyses are performed to quantify the importance ranking of the working load, geometric size and propellant combustion parameters. It is shown that the influence of the uncertainties can be precisely described, and the preload and the support angle between the piston and nut flap play a dominant role in the separation reliability. This can further support the detailed design of the separation nut.
Highlights
A low-shock separation nut is a type of separation device based on the concept of ‘strong connection and soft unlocking’, which is widely used in aerospace fields such as fairing separation, rocket stage separation and satellite release
Based on the combination of the separating simulation model of the separation nut mechanism and the Kriging model, a functional reliability simulation method for a low-shock separation nut was proposed for the first time, and its effectiveness was veri
Based on the combination of the separating simulation model of the separation nut mechanism and the Kriging model, a functional reliability simulation method for a lowshock separation nut was proposed for the first time, and its effectiveness was verified
Summary
A low-shock separation nut is a type of separation device based on the concept of ‘strong connection and soft unlocking’, which is widely used in aerospace fields such as fairing separation, rocket stage separation and satellite release. The simulation analysis of the separation nut in the aforementioned studies was conducted to mainly investigate the function and performance of the separation nut based on factors such as its structure, material and geometric size. It is necessary to conduct a separation reliability analysis of the separation nut mechanism to understand the influence of the external load, material properties, structural size, machining error and other factors on its separation reliability, and appropriate design measures should be proposed to improve the separation reliability level. For highly nonlinear implicit function problems, support vector machines and neural networks show excellent performance, but their efficiencies are lower than that of the Kriging surrogate model [22]. The Kriging surrogate model is used for global and local approximations [23–27] For these reasons, this paper proposes a functional reliability simulation method for separation nut using the Kriging model.
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