钛合金表面抗激光涂层损伤特性及热效应影响研究

实验研究了钛合金和高反射型陶瓷涂层材料抗连续型激光烧蚀的损伤及温度分布特性，并从热效应影响角度对比分析了二者在抗激光损伤效果方面的差异性。研究结果表明：相比于钛合金，高反射型陶瓷涂层材料能有效增强钛合金基底抗激光损伤的能力；在同等激光功率密度辐照下，陶瓷涂层材料能有效提升钛合金基底耐受激光辐照的时间长度。实验结果表明该陶瓷涂层材料的激光损伤阈值比钛合金高约5.8倍。实验发现陶瓷涂层温升速率高于钛合金，但由于陶瓷材料具有较高的反射特性，以及良好的热吸收和热传导特性，因此能使由激光辐照产生的热量在其表面较快地扩散，而降低向基底方向传导的程度，最终提升陶瓷涂层的抗激光损伤阈值。     

变势能阱双稳态气动弹性能量收集的性能增强研究

提出一种新型的磁耦合变势能阱双稳态压电颤振能量收集器，设计了外部磁场作用下颤振能量收集系统的双稳态构型，并利用弹性支撑的外部磁铁的运动实现了变势能阱技术，解释了变势能阱双稳态对颤振能量收集系统的性能增强机理。建立了磁力-压电-气动弹性耦合的颤振能量收集系统的动力学分析模型，根据非线性磁偶极模型以及平衡点稳定性理论，讨论了系统出现双稳态构型的参数条件。对磁耦合双稳态颤振能量收集系统的动态特性进行了数值仿真研究，结果显示，双稳态构型能够使无磁力颤振能量收集系统的超临界颤振行为转变为亚临界颤振，发生极限环振动的风速能够降低50%以上，拓宽了能量收集器的有效工作风速范围，并分析了磁铁间距、磁偶极矩对能量收集性能的影响规律。采用弹性支撑的外部磁铁的运动来自适应调节内外部磁铁之间的距离，达到变势能阱的目的，有效地降低了双稳态的势能阱深度，使系统更容易发生双稳态势能阱间的跃迁运动，从而在双稳态的设计基础上，实现了能量收集工作风速范围和输出电功率的同步提升，为低风速下的能量收集提供了一种有效的设计途径。     

基于鸽群优化算法的实时避障算法

为保证机器人能安全无碰撞地抵达目标位置，提出一种在改进版圆形扩张（CSE+）法中融合鸽群优化算法的实时避障算法。所提算法引入对障碍物密集程度的判断机制，在障碍分布密集时选择最安全的路径，在障碍物分布稀松的环境中，利用鸽群优化算法在安全范围内寻找下一目标最优位置。此外，还引入了搜索树，可实现死角的检测与避免。仿真结果显示:所提避障算法能提高路径规划的性能，在障碍物分布稀松时效果更加明显，且可实现死角检测并能通过狭长通道。      

基于复杂网络的车载自组织网络脆弱性分析

车载自组织网络(VANET)作为智能交通的重要基础应用，其安全稳定地运行是交通系统乃至社会经济可持续发展的需要。以最大连通度、连通分支平均规模、全局网络效率等参数为脆弱性测度指标，基于复杂网络理论，应用车辆仿真软件(VanetMobiSim)建立了VANET网络拓扑模型，详细研究了在随机攻击和蓄意攻击模式下脆弱性量化指标随节点移除比例的变化关系；通过仿真实验分析了节点密度、信号辐射半径及不同攻击策略对VANET脆弱性的影响。仿真结果表明:VANET在蓄意攻击下比较脆弱，基于节点介数的蓄意攻击效能最强；节点密度、信号辐射半径越小，VANET连通性越差，网络越脆弱。所提方法和结果为VANET拓扑控制优化和网络管理决策提供了理论依据。      

基于客流密度的地铁列车空调夏季送风温度控制模型研究

客流密度是影响地铁列车客室内热舒适性环境的重要因素,传统的地铁列车客室温度控制主要是根据UIC-553标准,以室内外温差作为控制核心.本文通过构建全尺寸地铁列车客室-乘客-空调送风耦合的一体化模型,利用实车试验与数值模拟相结合的方法,对地铁列车客室内的热舒适性展开研究.探讨客流密度对地铁列车客室内热舒适环境的影响规律以及不同客流密度下客室平均温度与空调送风温度之间的关系,得到了不同客流密度下能满足人体热舒适性体验的空调送风温度,提出了一种基于客流密度的地铁列车空调夏季送风温度控制模型.     

Facile Fabrication of Hierarchical Porous N/O Functionalized Carbon Derived from Blighted Grains Towards Electrochemical Capacitors

The hierarchical porous N/O co-functionalized carbon(HPNOC)was scalably prepared by using the lowcost and renewable blighted grains as the raw material coupled with mild KHCO_3 activation for electrochemical capacitors(ECs).The elemental N was in situ doped in the obtained HPNOC without any N-containing additives.Remarkably,the obtained HPNOC was endowed with a large specific surface area(about 2 624m~2·g~(-1)),high pore volume(about 1.35cm~3·g~(-1)),as well as high-content N/O functionalization(about 1.9%(in atom)N and about 10.2%(in atom)O.Furthermore,the as-resulted HPNOC electrode with a high mass loading of 5mg·cm~(-2 )exhibited competitive gravimetric capacitances of about 373.6F·g~(-1 )at 0.5A·g~(-1),and even about 260.4F·g~(-1 )at a high rate of 10A·g~(-1);superior capacitance retention of about 98.8%at 1A·g~(-1 )over 10 000consecutive cycles;and high specific energy of about 9.6W·h·kg~(-1 )at a power of 500W·kg~(-1),when evaluated as a promising electrode in 6mol KOH for advanced electrochemical supercapacitors.More encouragingly,the green synthetic strategy we developed holds a huge promise in generalizing for other biomass-derived carbon materials for versatile energy-related applications.     

Impact of rain on wave retrieval from Sentinel-1 synthetic aperture radar images in tropical cyclones

The main objective of our work was to investigate the impact of rain on wave observations from C-band (~5.3 GHz) synthetic aperture radar (SAR) in tropical cyclones. In this study, 10 Sentinel-1 SAR images were available from the Satellite Hurricane Observation Campaign, which were taken under cyclonic conditions during the 2016 hurricane season. The third-generation wave model, known as Simulating WAves Nearshore (SWAN) (version 41.31), was used to simulate the wave fields corresponding to these Sentinel-1 SAR images. In addition, rainfall data from the Tropical Rainfall Measuring Mission satellite passing over the spatial coverage of the Sentinel-1 SAR images were collected. The simulated results were validated against significant wave heights (SWHs) from the Jason-2 altimeter and European Centre for Medium-Range Weather Forecasts data, revealing a root mean square error (RMSE) of ~0.5 m with a 0.25 scatter index. Winds retrieved from the VH-polarized Sentinel-1 SAR images using the Sentinel-1 Extra Wide-swath Mode Wind Speed Retrieval Model after Noise Removal were taken as prior information for wave retrieval. It was discovered that rain did indeed affect the SAR wave retrieval, as evidenced by the 3.21-m RMSE of SWHs between the SAR images and the SWAN model, which was obtained for the ~1000 match-ups with raindrops. The raindrops dampened the wave retrieval when the rain rate was < ~5 mm/hr; however, they enhanced wave retrieval for higher rain rates. It was also found that the portion of the rain-induced ring wave with a wave number > 0.05 rad/m (~125 m wavelength) was clearly observed in the SAR-derived wave spectra.