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621.
采用有限元分析软件ABAQUS分析弹性桅杆几何参数对其力学性能的影响,为离轨帆弹性桅杆设计提供一定的理论依据。结果表明:增加壳体厚度、保持弧长不变,减小曲率半径以及增大壳体截面圆心角都能有效提高离轨帆自动展开能力及弹性桅杆支撑刚度;弹性桅杆的弯曲内部应力只与材料属性、曲率半径、缠绕半径以及壳体厚度有关;曲率半径减小、壳体厚度增加都会增大弹性桅杆的弯曲内部应力,有可能会导致弹性桅杆在缠绕时发生塑性变形。因此,在对弹性桅杆设计时,需综合考虑弹性桅杆几何参数对其展开能力以及缠绕性能的影响。 相似文献
622.
623.
本文引入了一种由Busemann超声速双翼理论发展而来的无强激波构型,该构型可明显消弱超声速飞行时带来的波阻和声爆。文中分析了无强波构型的机理和气动特性,介绍了该构型理论研究和应用研究进展,并探讨了该构型在超声速飞行器设计应用中的关键性问题。该理论为未来低声爆超声速飞机的设计提供了一个全新的思路,是未来超声速/高超声速飞行器发展必要的技术基础。 相似文献
624.
《中国航空学报》2022,35(9):208-225
Accurate prediction of sonic boom is one of key challenges for the design of a low-boom supersonic aircraft. For most of available far-field prediction methods, the effect of atmospheric turbulence appearing in the planetary boundary layer cannot be considered, which results in remarkable inaccuracy of predicting ground-level sonic boom waveform. Although some efforts have been made to overcome the shortcoming, the turbulence effects are not yet well described so far. This article proposes an improved method by extending the two-dimensional Heterogeneous One-Way Approximation for the Resolution of Diffraction (HOWARD) equation to account for the axial and transverse convections of wind fluctuation as well as the effect of temperature fluctuation. The proposed method is validated by comparing the predictions with the flight-test data of JAXA D-SEND#1 LBM, which shows that the result of the proposed method is in better agreement with the flight-test data than that of the method without considering atmospheric turbulence effects. Then, distortion mechanism of sonic boom waveforms caused by atmospheric turbulence is analyzed by using the proposed method. It is indicated that the effect of turbulent convection makes uniform sonic-boom wavefronts irregular, which creates the condition of diffraction effect to perturb waveforms. Finally, the proposed method is applied to investigate the behavior of two types of waveforms given by the sonic boom minimization theory. Results show that a far-field waveform with a weaker initial shock is more beneficial for low-boom design of a supersonic aircraft. 相似文献
625.
《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2023,71(6):2566-2574
Due to the influence of various errors, the orbital uncertainty propagation of artificial celestial objects while orbit prediction is required, especially in some applications such as conjunction analysis. In the orbital error propagation of artificial celestial objects in low Earth orbits (LEOs), atmospheric density uncertainty is one of the important factors that require special attention. In this paper, on the basis of considering the uncertainties of position and velocity, the atmospheric density uncertainty is also taken into account to further investigate the orbital error propagation of artificial celestial objects in LEOs. Artificial intelligence algorithms are introduced, the MC Dropout neural network and the heteroscedastic loss function are used to realize the correction of the empirical atmospheric density model, as well as to provide the quantification of model uncertainty and input uncertainty for the corrected atmospheric densities. It is shown that the neural network we built achieves good results in atmospheric density correction, and the uncertainty quantization obtained from the neural network is also reasonable. Moreover, using the Gaussian mixture model - unscented transform (GMM-UT) method, the atmospheric density uncertainty is taken into account in the orbital uncertainty propagation, by adding a sampled random term to the corrected atmospheric density when calculating atmospheric density. The feasibility of the GMM-UT method considering atmospheric density uncertainty is proved by the further comparison of abundant sampling points and GMM-UT results (with and without considering atmospheric density uncertainty). 相似文献
626.