空间结构热-动力学耦合系统稳定性的有限元分析

针对在轨航天器柔性附件的热-动力学耦合系统,提出了一种稳定性分析有限元方法。该系统的状态方程既包括考虑辐射换热且耦合了结构变形的非线性瞬态热传导方程,也包括与瞬态温度场相联系的结构动力学方程。由于结构变形对于受热条件的耦合影响以及辐射换热的存在,该系统具有高度非线性。借助于非线性振动理论,给出了系统热诱发振动的稳定性准则。针对不同的结构,可以计算出不同的运动稳定边界,该边界将参数空间分成了稳定区域和不稳定区域。对哈勃太空望远镜太阳帆板进行了稳定性分析,该方法所得数值解与文献结果一致。对更为复杂的卫星天线,用该方法给出其发生热颤振的参数条件,探讨了结构参数、加热条件对其热-动力学耦合系统稳定性的影响。     

Discrete Time Optimal Adaptive Control for Linear Stochastic Systems

The least-squares (LS) algorithm has been used for system modeling for a long time. Without any excitation conditions, only the convergence rate of the common LS algorithm can be obtained. This paper analyzed the weighted least-squares (WLS) algorithm and described the good properties of the WLS algorithm. The WLS algorithm was then used for adaptive control of linear stochastic systems to show that the linear closed-loop system was globally stable and that the system identification was consistent. Compared to the past optimal adaptive controller, this controller does not impose restricted conditions on the coefficients of the system, such as knowing the first coefficient before the controller. Without any persistent excitation conditions, the analysis shows that, with the regulation of the adaptive control, the closed-loop system was globally stable and the adaptive controller converged to the one-step-ahead optimal controller in some sense.     

Polarimetric Synthetic Aperture Radar Image Classification by a Hybrid Method

Different methods proposed so far for accurate classification of land cover types in polarimetric synthetic aperture radar (SAR) image are data specific and no general method is available. A novel hybrid framework for this classification was developed in this work. A set of effective features derived from the coherence matrix of polarimetric SAR data was proposed. Constituents of the feature set are wavelet, texture, and nonlinear features. The proposed feature set has a strong discrimination power. A neural network was used as the classification engine in a unique way. By exploiting the speed of the conjugate gradient method and the convergence rate of the Levenberg-Marquardt method (near the optimal point), an overall speed up of the classification procedure was achieved. Principal component analysis (PCA) was used to shrink the dimension of the feature vector without sacrificing much of the classification accuracy. The proposed approach is compared with the maximum likelihood estimator (MLE) based on the complex Wishart distribution and the results show the superiority of the proposed method, with the average classification accuracy by the proposed method (95.4%) higher than that of the MLE (93.77%). Use of PCA to reduce the dimensionality of the feature vector helps reduce the memory requirements and computational cost, thereby enhancing the speed of the process.     

Memory Efficient String Matching Algorithm for Network Intrusion Management System

As the core algorithm and the most time consuming part of almost every modern network intrusion management system (NIMS), string matching is essential for the inspection of network flows at the line speed. This paper presents a memory and time efficient string matching algorithm specifically designed for NIMS on commodity processors. Modifications of the Aho-Corasick (AC) algorithm based on the distribution characteristics of NIMS patterns drastically reduce the memory usage without sacrificing speed in software implementations. In tests on the Snort pattern set and traces that represent typical NIMS workloads, the Snort performance was enhanced 1.48%-20% compared to other well-known alternatives with an automaton size reduction of 4.86-6.11 compared to the standard AC implementation. The results show that special characteristics of the NIMS can be used into a very effective method to optimize the algorithm design.     

不同的氧氩比对ZnO薄膜性能的影响

利用直流反应磁控溅射法在硅衬底上沉积C轴择优取向的ZnO晶体薄膜,在其他反应条件不变的情况下,改变氩氧比,测量了样品的晶体结构和导电性能.随着反应气氛中氩气含量的增加,(002)面衍射峰的强度有所提高,说明薄膜的结晶质量有所改善,衍射峰略向θ角减小的方向移动.随着反应气氛中氩气含量的增多、氧气含量的减少,ZnO薄膜的方块电阻明显减小,说明薄膜的电阻率随反应气氛中氩气的增加而明显减小.     

一种新的基于移动代理的P2P模型及资源定位算法研究

如何在P2P网络中进行资源的搜索定位是相关研究中最为关键的问题。但是目前的资源定位方法都存在不同的问题,尤其表现在占用过多的网络带宽、资源定位时延过长,peer节点的随意加入离开导致资源定位的稳定性不高等。针对上述问题,提出了一种基于移动代理的两层P2P模型。在该模型下,首先设计了一个确定Query Agent数量及路线的算法;然后将这些Query Agent派发出去,再根据资源定位算法进行资源定位。最后,对算法进行了性能分析。分析表明,算法在资源定位效率、带宽节约、鲁棒性等方面均优于一般的资源定位算法。     

芳纶纤维强化UP的激光加工性基础研究

使用CO2和YAG激光加工芳纶纤维强化不饱和聚酯树脂板,探讨其在不同的强化方式下,改变照射时间和激光功率及焦点位移量时的微孔加工性。     

固液体系中蛭石吸附Cu^2＋动力学研究

研究了等温条件下初始Cu2 浓度范围为25~300 mg.L-1,蛭石浓度范围为20~100 g.L-1的水溶液体系中蛭石吸附Cu2 的动力学过程.试验结果表明:蛭石对Cu2 具有较强的吸附能力,其吸附速率在吸附反应开始的2 h内很高,但随时间的延长逐渐降低并在12 h左右接近于零.溶液起始Cu2 浓度和吸附剂浓度对吸附速率影响显著,随起始Cu2 浓度增大,吸附达到平衡的时间延长;起始吸附剂浓度增大,吸附平衡时间缩短.提出的蛭石-Cu2 吸附动力学方程在样本检测的浓度范围内具有较高的精确度.     

海岸带城市蓝绿空间碳汇基础设施网络分析——以广西北部湾为例

为探讨蓝绿基础设施(Blue-Green Infrastructure,BGI)碳汇服务功能有益于指引城市碳中和目标建设,本研究以广西北部湾海岸带城市为例,运用形态学空间格局分析(Morphological Spatial Pattern Analysis,MSPA)法、连通性分析法以及电路理论,构建蓝绿基础设施碳汇网络,讨论对应的固碳增汇对策。结果表明：2020年研究区蓝绿空间碳汇总量为735 524.09 tC·a^-1,其中绿色空间碳汇总量为588 680.06 tC·a^-1,蓝色空间碳汇总量为146 844.03 tC·a^-1,单位面积碳汇量“蓝”高于“绿”;共提取63个碳汇源地斑块,20个核心源地斑块,绿色空间核心源地总面积为6 814.31 km²,蓝色空间为899.05 km²,核心源地主要分布在东西两侧及南部沿海地带;共提取出24条生态廊道,绿廊共长122.21 km,蓝廊为52.75 km,呈环状分布,中南部地区分布较密,连通性强。本研究结果可为“碳达峰与碳中和”(简称“双碳”)背景下海岸带城市的保护与可持续发展提供建设思路。     

水稻冠层不同高度光合有效辐射动态与叶片光合作用特性研究

在当前CO2环境以及600μmol/mol air的开顶箱中,测量水稻冠层离水田泥土45 cm和90 cm处光合有效辐射的变动以及叶片的动态光合速率,探讨高CO2环境下光强变动与光合作用关系的潜在变化.结果表明:1)水稻冠层90 cm处的平均光强是45 cm处的3～4倍,但晴天光强的时间变异系数比45 cm处低55％～...