热暴露对B/Al复合材料性能的影响

对经300℃、500℃高温热暴露的B／Al（LF6）复合材料的力学性能进行了研究，实验结果表明材料在300℃下热暴露时，性能下降速度较慢，100h后强度保留率约为76％，延伸率保留率为74％。而在500℃下热暴露时，5h以上强度就有明显降低。高温长时间热暴露后复合材料的断裂也从积累型转变为典型的非累积型断裂。通过透射电镜（TEM）及扫描电镜（SEM）对固态热压制造态和主温热暴露的界面状况进行了分析，认为界面反应是造成B／Al复合材料力学性能下降的主要原因。     

高超音速进气道的附面层问题

本文论述了高超音速进气道所面临的严重附层面问题,高超音速附面层的特点,高超音速附面层对进气道性能的影响,影响附面层转捩和厚度的诸因素.对如何控制和改善附面层及在设计高超音速进气道时如何考虑附面层因素,亦提出了一些初步看法.     

海防导弹引射器的研制

某海防导弹液体火箭发动机装置中，采用引射器加过载箱组成的除气机构，本文介绍除气的作用和原理，着重论述引射器的设计要点，地面试验及几何对抽气性能的影响。     

综合评价飞行模拟器的一种方法

采用多目标决策理论，根据层次分析法的基本原理，建立了一个多层次的飞行模拟器的综合评价模型，该模型以飞行员的评定和意见作为主要依据，采取两两比较的方式，可对飞行模拟器的逼真度和有效性进行综合评价，该方法对于改进飞行模拟器的逼真度，提高飞行模拟器的模拟有效性有实用意义。     

A new dynamic pushback control method for reducing fuel-burn costs: Using predicted taxi-out time

Long departure-taxi-out time leads to significant airport surface congestion, fuel-burn costs, and excessive emissions of greenhouse gases. To reduce these undesirable effects, a Predicted taxi-out time-based Dynamic Pushback Control(PDPC) method is proposed. The implementation of this method requires two steps: first, the taxi-out times for aircraft are predicted by the leastsquares support-vector regression approach of which the parameters are optimized by an introduced improved Firefly algorithm. Then, a dynamic pushback control model equipped with a linear gate-hold penalty function is built, along with a proposed iterative taxiway queue-threshold optimization algorithm for solving the model. A case study with data obtained from Beijing International airport(PEK) is presented. The taxi-out time prediction model achieves predictive accuracy within 3 min and 5 min by 84.71% and 95.66%, respectively. The results of the proposed pushback method show that total operation cost and fuel-burn cost achieve a 14.0% and 21.1%reduction, respectively, as compared to the traditional K-control policy.(3) From the perspective of implementation, using PDPC policy can significantly reduce the queue length in taxiway and taxi-out time. The total operation cost and fuel-burn cost can be curtailed by 37.2% and 52.1%,respectively, as compared to the non-enforcement of any pushback control mechanism. These results show that the proposed pushback control model can reduce fuel-burn costs and airport surface congestion effectively.     

Harnessing functional food strategies for the health challenges of space travel—Fermented soy for astronaut nutrition

Astronauts face numerous health challenges during long-duration space missions, including diminished immunity, bone loss and increased risk of radiation-induced carcinogenesis. Changes in the intestinal flora of astronauts may contribute to these problems. Soy-based fermented food products could provide a nutritional strategy to help alleviate these challenges by incorporating beneficial lactic acid bacteria, while reaping the benefits of soy isoflavones. We carried out strain selection for the development of soy ferments, selecting strains of lactic acid bacteria showing the most effective growth and fermentation ability in soy milk (Streptococcus thermophilus ST5, Bifidobacterium longum R0175 and Lactobacillus helveticus R0052). Immunomodulatory bioactivity of selected ferments was assessed using an in vitro challenge system with human intestinal epithelial and macrophage cell lines, and selected ferments show the ability to down-regulate production of the pro-inflammatory cytokine interleukin-8 following challenge with tumour necrosis factor-alpha. The impact of fermentation on vitamin B1 and B6 levels and on isoflavone biotransformation to agluconic forms was also assessed, with strain variation-dependent biotransformation ability detected. Overall this suggests that probiotic bacteria can be successfully utilized to develop soy-based fermented products targeted against health problems associated with long-term space travel.     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

关于跨声速流动问题的多重解

本文讨论了跨声速流小扰动方程Riemann问题的多重解及物理上可实现的解的判别。     

信息时代的飞行力学

基于现代信息技术，扼要论述了作为信息时代的飞行力学－－计算飞行力学的产生背景、问题表述、理论框架和计算系统，以及计算飞行力学在未来飞行器发展和运用研究中的作用。     

航线收益管理的边际分析方法

 本文首先综述了航线运输收益管理中两票价等级的最优运营方法的历史与现状,指出了各个经典公式的限制条件和公式推导的不严密性。然后,利用边际分析方法详细推导了一个新的最优座位安排的通用公式,对该领域的传统公式作了重要更正。最后,通过实例分析、计算并与传统公式相比,表明新公式在理论上较为完善,在工程上也实用、简便。