基于混合遗传算法的多冲量最优变轨

针对航天器多冲量最优变轨问题,建立了多冲量最优变轨的数值优化模型,给出了一种遗传算法(GA)与序列二次规划算法(SQP)结合的混合优化算法.该算法不需初值猜测,全局和局部搜索能力强并且计算效率高.仿真计算了燃料最优交会和时间最短拦截问题,比较了GA,SQP以及混合遗传算法的性能.针对混合遗传算法得到的不同冲量次数变轨的优化结果,分析了冲量次数对变轨性能指标的影响.结果表明混合遗传算法综合性能最高,冲量次数对不同性能指标的影响不同.仿真算例验证了模型和算法的有效性.     

基于图论的燃油管路稳态流动计算方法

基于节点分析法,提出将局部损失并入相应管段的处理方法,推导阻力计算公式,从而得到兼顾沿程和局部损失的稳态流动计算方法。将该计算方法应用于实际的航空发动机燃油管路,采用VB.NET语言编写计算软件;同时,对燃油管路开展三维数值模拟计算。结果表明:局部损失对管路的流量分配影响较大;该计算方法得到的流量分配与数值计算结果趋势吻合很好,差别在±10%。      

Optimized Fuzzy Clustering Method for Health Monitoring of Shield Tunnels

Since health monitoring of shield tunnels generally employs multiple sensors belonging to different types,a fine analysis on massive monitoring data,as well as further quantitative health grading,is really challenging.An optimized fuzzy clustering analysis method based on the fuzzy equivalence relation is proposed for health monitoring of shield tunnels.Clustering results are auto-generated by using fuzzy similarity-valued map.The results follow the idea of unsupervised classification.Moreover,a convenient new health index HI is proposed for a fast tunnel-health grading.A case study on Nanjing Yangtze River Tunnel is presented to validate this method.Three types of indicators,namely soil pressure,pore water pressure and steel strain,are used to develop the clustering model.The clustering results are verified by analyzing the engineering geological conditions;the validity and the efficacy of the proposed method are also demonstrated.Further,the fuzzy clustering analysis also represents a potential for identifying abnormal monitoring data.This investigation indicates the fuzzy clustering analysis method is capable of characterizing the fuzziness of tunnel health,and beneficial to clarify the tunnel health evaluation uncertainties.     

面向飞机维修过程的数字支援系统研究

在研究欧盟的民用飞机维修方式研究计划(TATEM)的基础上,分析飞机维修过程的主要因素并建立了飞机维修过程的数学模型。通过模糊数学知识实现对数字支援系统拟采用的技术手段对飞机维修工程促进作用的评价,详细设计了数字支援系统的主要功能模块,并用于指导系统软件的开发。面向飞机维修过程的数字支援系统的研究与开发对于其他复杂设备的维修过程数字化建设有着重要的借鉴意义。     

如何开展院校任期经济责任审计

当前任期经济责任审计已成为审计部门的一项重要职责，如何开展院校任期经济责任审计，是摆在我们内审工作面前的重大课题。本从经济责任审计的重要性入手，对搞好经济责任审计的途径与方法作了探讨。     

基于可观测度分析和增量因子图的多源融合导航方法

复杂动态场景下高精度导航定位是自主无人系统决策规划与控制执行的基础。在城市峡谷、隧道、地下或室内停车场等场景下，卫星信号弱甚至丢失，严重影响了惯性/卫星/视觉等多源融合导航的精度和可靠性。为主动适应动态场景变化，迫切需要设计一种适用于跨场景的多源融合导航系统。基于动态时变系统的可观测度分析，在线度量惯性/卫星、惯性/视觉等组合导航因子的可信程度，进而采用因子图融合导航框架，根据各组合导航因子的可信程度，主动优化因子构建和增量平滑过程，以实现多传感器自适应融合导航与可靠定位。实验仿真表明：基于可观测度分析方法，能够在线优化因子图计算过程，提升了多源融合导航系统的环境适应性和跨场景能力，保证了复杂动态场景下自主无人系统跨场景导航模式切换和连续可靠的导航定位。     

无头铆钉成型过程的有限元仿真与试验分析

采用ABAQUS建立有限元分析模型,分析了66°锥形铆模压铆无头铆钉的成型过程。对成型后的试片进行了力学及金相分析,并将结果与普通半圆头铆钉进行对比。研究结果表明,无头铆钉的压铆变形过程为钉杆中间最早涨粗,墩头部分成型,随后钉杆部分逐步与孔壁均匀挤压的过程;随着压铆位移的增加,无头铆钉拉脱强度及剪切强度均呈上升趋势;与传统平铆模成型的半圆头铆钉相比,在锥形铆模的作用下,金属材料向钉杆流动更加均匀,墩头两侧的绝热剪切效应明显弱化。     

Experimental Study on Emission Performance of an LPP/TVC

A key issue in the commercial aircraft engine design is environmental acceptability, and designers are continually challenged to reduce emissions. In this paper, an experimental investigation is performed to evaluate the emission performance of a liquid-fueled trapped vortex combustor (TVC) under lean premixed prevaporized (LPP) mode. When operating as an LPP system, a TVC is fueled both in the cavities and in the main stream. The correlations between the emission performance and the total excess air ratio, the positions (4 positions) of the fuel injectors in the main stream, and the inlet temperature are obtained. Experi- mental results show that both the volume concentrations of unburnt hydrocarbon (UHC) and NOx (NO, NO2 usually grouped together as NOx) increase with the increase of total excess air ratio from 1.5 to 3.0; the emission performance relies heavily on the position of the main stream injector, and the best performance is achieved at Position 4 in the experiments; the increase of the inlet temperature impacts on the emission performance positively; the smallest volume concentrations of UHC and NOx obtained in the experiment are 94×10 6 and 2.3×10 6 respectively. This paper validates the feasibility of low emissions for an LPP/TVC and provides a reference for further optimization of TVCs.     

Detection of aerosol pollution sources during sandstorms in Northwestern China using remote sensed and model simulated data

The present paper has used a comprehensive approach to study atmosphere pollution sources including the study of vertical distribution characteristics, the epicenters of occurrence and transport of atmospheric aerosol in North-West China under intensive dust storm registered in all cities of the region in April 2014. To achieve this goal, the remote sensing data using Moderate Resolution Imaging Spectroradiometer satellite (MODIS) as well as model-simulated data, were used, which facilitate tracking the sources, routes, and spatial extent of dust storms. The results of the study have shown strong territory pollution with aerosol during sandstorm. According to ground-based air quality monitoring stations data, concentrations of PM₁₀ and PM_2.5 exceeded 400?μg/m³ and 150?μg/m³, respectively, the ratio PM_2.5/PM₁₀ being within the range of 0.123–0.661. According to MODIS/Terra Collection 6 Level-2 aerosol products data and the Deep Blue algorithm data, the aerosol optical depth (AOD) at 550?nm in the pollution epicenter was within 0.75–1. The vertical distribution of aerosols indicates that the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) 532?nm total attenuates backscatter coefficient ranges from 0.01 to 0.0001?km^?1?×?sr^?1 with the distribution of the main types of aerosols in the troposphere of the region within 0–12.5?km, where the most severe aerosol contamination is observed in the lower troposphere (at 3–6?km). According to satellite sounding and model-simulated data, the sources of pollution are the deserted regions of Northern and Northwestern China.