Derivation and validation of a similarity law for free-flight wind tunnel tests of parallel stage separation

Aiming at the safety problem of the stage separation of parallel reusable high-speed air vehicles, this paper studies the unsteady test method and focuses on deriving a similarity law of parallel stage separation free-flight wind tunnel tests. The new similarity law considers the influences of aerodynamic force and gravity on the motions of the two stages, as well as the influence of aerodynamic interference between the two stages on each other’s motion. From the perspective of multi-angle physical equations, the conditions to ensure that the two-stage separation trajectory of a wind tunnel test is similar to that of a real air vehicle are derived innovatively, so as to ensure the authenticity and credibility of wind tunnel test results. The similarity law is verified by an HIFiRE-5 air vehicle, and the separation trajectories of wind tunnel tests and the real air vehicle are obtained by numerical simulation. The research shows that the similarity law derived in this paper can ensure that wind tunnel free-flight tests have the ability to predict the two-stage separation characteristics of real parallel vehicles. By analyzing the separation trajectory curve of the typical state, it is found that the new method can ensure that the trajectory error of a wind tunnel test does not exceed 1%, which indicates that this method is credible. The establishment of the new method lays the foundation for subsequent wind tunnel tests and provides support for research on the safety of the stage separation of parallel reusable air vehicles.     

高强高模聚酰亚胺纤维增强环氧复合材料研究进展

本文综述了当前高强高模聚酰亚胺（PI）纤维增强环氧（EP）复合材料的制备及应用研究进展，较全面地介绍了PI/EP复合材料的成型工艺性能、界面性能、力学性能及破坏机制、电性能、耐损伤性能、防弹性能等，对其应用研究方向进行了展望。     

太极二号卫星精密热控关键技术及试验验证

针对引力波探测太极二号卫星提出的高稳定度温控需求，开展了高分辨率测温系统和高稳定度热控技术的研究，提出了多级阻尼的热控设计方法，建立了多级阻尼状态空间数学模型，揭示了系统中热量传递特性。该方法在太极二号核心载荷上进行了地面试验验证，试验结果表明核心舱关键仪器的温度满足指标要求。试验结果的噪声分析，不仅验证了精密热控关键技术，而且提出了关于热噪声分析与抑制的新方法，为后续航天器精密热控技术提供了理论分析方法和工程参考依据。     

Novel moderate transformation of fuzzy membership function into basic belief assignment

In information fusion, the uncertain information from different sources might be modeled with different theoretical frameworks. When one needs to fuse the uncertain information represented by different uncertainty theories, constructing the transformation between different frameworks is crucial. Various transformations of a Fuzzy Membership Function (FMF) into a Basic Belief Assignment (BBA) have been proposed, where the transformations based on uncertainty maximization and minimization can determine the BBA without preselecting the focal elements. However, these two transformations that based on uncertainty optimization emphasize the extreme cases of uncertainty. To avoid extreme attitudinal bias, a trade-off or moderate BBA with the uncertainty degree between the minimal and maximal ones is more preferred. In this paper, two moderate transformations of an FMF into a trade-off BBA are proposed. One is the weighted average based transformation and the other is the optimization-based transformation with weighting mechanism, where the weighting factor can be user-specified or determined with some prior information. The rationality and effectiveness of our transformations are verified through numerical examples and classification examples.     

An information-volume-based distance measure for decision-making

D-S evidence theory, as a general framework for reasoning with uncertainty, allows combining pieces of evidence from different information sources to derive a degree of belief function that is a type of fuzzy measure. However, the mass assignments given by unknown information sources are disordered. How to measure the difference between the mass assignments has aroused people’s interest. In this paper, inspired by the information volume, a novel distance-based measure is proposed to measure the difference between mass assignments. The method can refine the uncertain information given by experts and compare the refined information to obtain the difference between mass assignments. At the same time, it is verified that the measure not only meets the properties of distance, but also proves the superiority of the proposed Information Volume Distance (IVD) through simulation experiments. Meanwhile, in the process of information fusion, the reliability of each source could be quantified through IVD. Therefore, based on IVD, a new multi-source information algorithm is proposed to solve the problem of multi-source information fusion. Moreover, algorithm is applied to decision-making problem and compare with other methods to verify the effectiveness.     

宜香1A及宜香品种成熟期倒伏指数研究

以籼型三系不育系宜香1A、Ⅱ-32A、冈46A和恢复系宜恢7633、宜恢7008、宜恢1525等为材料,研究了亲本和杂交后代的倒伏指数.结果表明,Ⅱ-32A的倒3节间抗倒能力极显著强于宜香1A;冈46A倒3节间的抗倒能力显著强于宜香1A;宜香1A和Ⅱ-32A所配品种倒3节间抗倒能力相当,都极显著优于冈46A 所配品种倒3节间抗倒能力.母本及其所配品种的倒2节间和倒1节间倒伏指数无明显差异.