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张绪虎%胡欣华%关盛勇%汪翔%杨盛良 《宇航材料工艺》2001,31(2):48-55
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。 相似文献
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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。 相似文献
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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。 相似文献
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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. 相似文献
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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. 相似文献
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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。 相似文献
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