小型四旋翼无人机悬停状态气动干扰与安全间隔研究*

为保证小型旋翼无人机近距编队悬停状态的安全性,采用数值模拟方法研究不同横向和纵向间隔双机悬停流场特征和气动参数变化规律,通过与实验结果对比,验证数值仿真方法的准确性。研究结果表明:无人机内部旋翼间的气动干扰会导致整机单旋翼拉力降低、扭矩增大,使整机气动效率下降;当双机无横向间隔时,双机下洗流场保持对称,同时2股下洗流叠加,呈现较明显的横向扩张趋势,此时后机所受气动影响主要为拉力损失,当纵向间隔大于5 D时,该影响基本消失;当横向间隔X=1 D时,位于尾流区一侧的旋翼拉力减小,后机所受俯仰力矩作用显著,无人机有侧翻风险;横向间隔X≥2 D时,2机之间气动干扰较弱,为较安全区域。     

不同聚合度的聚磷酸铵灭火性能研究*

为考察聚磷酸铵（APP）干粉灭火剂的聚合度对其灭火性能的影响,选用3种不同聚合度的APP,结合其晶体结构、粒度分布及热性能测试,并通过粉体杯式燃烧器进行小尺寸灭火实验,对比3种样品的灭火性能及灭火机理,研究聚合度与其灭火性能的关系。热性能测试结果显示,聚合度的升高会导致APP的热稳定性下降,随着聚合度从80升至1 500,其初始分解温度从326.11 ℃降低至321.54 ℃,失重率从75.21%增加至79.66%。实验结果表明:随着APP聚合度的增加,火焰降温速率升高,最小灭火浓度（MEC）降低,灭火性能增强,当聚合度为1 500时,MEC为118.143 g/m3。聚合度的升高有助于APP在进入火场后更早、更充分地与火焰发生反应,从而使灭火性能得到提升。     

Real-time measurements of the chemical composition of size-resolved particles during a Santa Ana wind episode,California USA

Size-resolved particle composition, mass and number concentrations, aerosol scattering coefficients, and prevailing meteorological conditions were measured at the Ellen Browning Scripps Memorial Pier located in La Jolla, California on 15 December 1998. Aerosol particles were sampled using a field transportable aerosol time-of-flight mass spectrometer, allowing for the continuous detection and characterization of single particles from a polydisperse sample. An extensive and rapid change in the chemical composition of aerosol particles with aerodynamic diameters between 1.0 and 2.5 μm has been observed during the onset of a Santa Ana Winds condition. Coincident with the observed change in meteorological conditions, a substantial decrease in sea salt particles corresponds to an increase in dust and carbon-containing particles. This paper examines observations of the rapid changes occurring in the chemical composition of single aerosol particles and demonstrates the new types of information that can be obtained by measuring single particle size and composition with high temporal resolution.     

Organic trace gas composition of the marine boundary layer over the northwest Indian Ocean in April 2000

In April 2000 atmospheric trace gas measurements were performed on the western Indian Ocean on a cruise of the Dutch research vessel Pelagia from the Seychelles (5°S, 55°E) to Djibouti (12°N, 43°E). The measurements included analysis of dimethyl sulfide (DMS), acetone and acetonitrile every 40 s using PTR-MS (proton-transfer-reaction mass spectrometry) and gas chromatographic analyses of C₂–C₇ hydrocarbons in air samples taken during the cruise. The measurements took place at the end of the winter monsoon season and the sampled air masses came predominantly from the Southern Hemisphere, resulting in low concentrations of some long-lived hydrocarbons, halocarbons, acetone (350 pptv) and acetonitrile (120 pptv). On three consecutive days a diurnal cycle in DMS concentration was observed, which was used to estimate the emission of DMS (1.5±0.7×10¹³ molecules m⁻² s⁻¹) and the 24 h averaged concentration of hydroxyl (OH) radicals (1.4±0.7×10⁶ molecules cm⁻³). A strongly increased DMS concentration was found at a location where upwelling of deeper ocean waters took place, coinciding with a marked decrease in acetone and acetonitrile. In the northwestern Indian Ocean a slight increase of some trace gases was noticed showing a small influence of pollution from Asia and from northeast Africa as indicated with back trajectory calculations. The air masses from Asia had elevated acetonitrile concentrations showing some influence of biomass burning as was also found during the 1999 Indian Ocean Experiment, whereas the air masses from northeast Africa seemed to have other sources of pollution.     

细水雾对锂离子电池热失控抑制作用的实验研究

为研究细水雾对锂离子电池热失控的抑制作用,利用自设计细水雾实验装置对18650型锂离子电池热失控进行抑制实验,对比两节电池依次燃爆和不同阶段使用细水雾的温度曲线。研究表明,细水雾对于抑制锂离子电池热失控有效,但不同热失控阶段细水雾抑温效果差异较大,结合锂离子电池多米诺效应和机载灭火设备适航性要求,应尽可能将细水雾喷雾时间节点靠近初次爆炸的时间节点。提出通过准确探测初次爆炸发生和进一步增强细水雾抑制作用来控制锂离子电池热失控及多米诺效应的发生和传播。     

基于信息加工模型的飞行员差错分析与分类

建立了飞行员信息加工模型。基于该模型,飞行员人为差错可按照认知行为过程分为信息感知差错、信息处理差错、决断差错、行为操作差错,并结合差错模式分类框架进行更详细地分类;影响飞行员认知和行为的情境条件可分为外部差错影响因素和内部差错影响因素。对以往飞行人为差错的分析表明,在信息加工层面分类的人为差错更宜于确定差错的心理机制。基于该理论模型的差错分类系统可以提高人为差错分析的有效性和一致性,从而提高差错管理的有效性。     

硬机翼喷气运输飞机污染问题分析

针对硬机翼飞机因污染发生事故率较高的事实,通过对多起硬机翼喷气飞机起飞阶段由于污染而失速坠毁事故的分析,研究现代硬机翼喷气飞机失速特性、对污染的敏感程度和敏感原因,进一步讨论各种防范机翼污染引起失速的措施。最后针对硬机翼飞机对污染敏感的特点,建议适航部门提高新型硬机翼飞机适航标准,硬机翼飞机运营人采取措施严格杜绝飞机带污染起飞。     

4种重要因素对柴油机颗粒物排放因子的量化影响研究

在发动机台架测试基础上,按照发动机排放阶段、油品种类、后处理装置和运行工况4种因素的不同,进行了24组测试,研究了颗粒物排放因子.同时,应用单因素敏感性分析,探究了发动机排放阶段和油品种类对颗粒物排放因子的影响;并运用多元线性回归分析,探讨了4种因素对颗粒物排放因子的影响力大小排序.结果显示:24组柴油机测试的颗粒物排放因子均值为(21.9±24.5) mg·kWh~(-1);使用国Ⅴ排放标准柴油机的颗粒物排放因子((14.7±5.6) mg·kWh~(-1))比国Ⅳ排放标准柴油机((19.4±16.4) mg·kWh~(-1))有所下降;国Ⅳ柴油、国Ⅴ柴油和混合柴油的颗粒物排放因子平均值分别为120.0、(11.8±1.0)和(11.5±1.3) mg·kWh~(-1),混合柴油颗粒物排放因子与国Ⅴ柴油相近,两者相比国Ⅳ柴油有明显下降;油品种类是影响颗粒物排放因子的第一大因素,后处理是影响颗粒物排放因子的第二大因素.     

空管安全文化量表设计

为探究我国空管安全文化现状,设计了一种评价量表。在安全文化定义、国内外相关文献及安全相关规章的理论指导下,结合专家咨询与实地调研,从安全文化建设和安全文化养成两个维度建立符合我国空管安全文化特点的关键元素集,从而编制初始安全文化量表。然后通过随机抽样方法,对20个空管单位展开测试,利用SPSS 19. 0对测试结果进行项目分析以确保题项的合理性、探索性因子分析以保证量表结构效度、信度分析以确保量表的可信度,剔除无效题项后,最终确立了正式量表。正式量表的信效度能够达到要求,可以对空管单位的安全文化进行有效测量。     

基于支持向量机的管制疲劳检测模型研究

管制疲劳是影响民航安全的重大隐患,准确检测疲劳状态是进行疲劳预警、降低疲劳风险的关键。提出应用支持向量机模型融合多生理参数和眼动指标进行管制疲劳检测,通过MP150多导生理记录仪与眼动仪,采集模拟管制试验中正常与剥夺睡眠状态下被试的试验数据,同时记录其Karolinska疲劳等级和操作绩效。结果表明,RR间期、LF/HF、快慢波比值、PERCLOS和扫视速度均与管制疲劳呈较强相关,利用支持向量机融合五项指标构建管制疲劳检测模型,对于五级疲劳度的识别准确率为78. 1%,判断正常组与剥夺睡眠组的准确率为94. 2%。