实施课题立项,推进教学改革

实施教学改革立项是推进院校教学改革的有效途径,结合实践,对教学改革立项的规划、组织、实施与管理,以及需注意的问题等进行了研究与探讨.     

板的弹塑性弯曲有限元分析中的分层法

论述了板的弹塑性弯曲有限元分析方法 ,对屈服函数的选取作了分析 ,采用分层方法 ,着重分析了对板的弹塑性切线刚度矩阵的建立 ,所论述的分层计算方法对其它非线性板弯曲的有限元计算具有一定的参考价值     

加强党性党风建设 提高党员干部的整体水平

党性党风建设历来是我党高度重视的一个问题。高校领导干部亦不例外。目前 ,高校基层党员干部普遍存在政治理论水平不高 ,道德修养变形 ,党的意识淡薄等现象。要想提高高校基层党员干部党性党风建设的整体水平 ,就必须加强对其进行政治理论教育和道德教育 ,同时加强制度建设。唯有此 ,才能提高基层管理者的管理水平和整体办学层次     

图像处理技术在桨叶表面应力分布试验中的应用

介绍图像处理技术在桨叶表面应力分布测试试验中的应用情况 ,对实际使用中的图像处理技术进行了较详细的分析讨论 .经过处理后的桨叶试验图像 ,不仅增加了图像的清晰程度 ,而且从中可获得半定量以至定量的参数 ,以帮助对桨叶表面应力分布进行分析     

弹性地基上的矩形薄板自由振动的一般解

求得了弹性地基上矩形薄板横向自由振动位移函数微分方程的一般解。可以求解任意边界矩形板的振动问题。以两相邻边固定另两边自由的正方形板为例进行了计算     

The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

栅格地理数据并行格式转换引擎

如今大规模地理数据正在社会各个部门和组织中迅速积累,但是由于部门利益和历史沿袭等原因,大规模地理数据共享仍然极具挑战,相应共享技术需求仍然极其旺盛。作为地理数据共享的基础方式之一,传统单机地理数据格式转换技术,一方面受限于磁盘读写及带宽瓶颈,另一方面面对日趋庞大的数据规模,已很难满足实际应用需求。因此提出一种针对栅格地理数据的并行格式转换引擎,采用高性能计算集群环境支持大规模栅格地理数据转换共享,大幅降低了大规模栅格地理数据转换过程的时间成本。栅格地理数据并行格式转换引擎采用基于公共接口的设计理念,框架灵活、具有良好的扩展性,支持地理数据格式的读写自定义以及新数据格式添加,能够实现接入数据格式间的任意两两转换。为验证引擎框架及其处理效率,在Lustre并行集群环境下以格网数据交换格式(国家地理空间数据交换格式)向常见栅格地理格式的转换为示例进行了测试实验。结果表明,栅格地理数据并行格式转换引擎能够在8个节点Lustre集群中达到7.54的良好并行加速比。     

对接厚板表面裂纹的残余应力强度因子

利用线弹簧模型求解对接厚板表面裂纹的残余应力强度因子。基于Reissner板理论和连续分布位错思想,将对接厚板表面裂纹问题归结为一组Cauchy型奇异积分方程,并采用Gauss-Chebyshev方法给出了奇异积分方程的数值结果,并与有限元解进行比较,计算结果表明:用线弹簧模型解决含残余应力表面裂纹问题不仅是合理可行的,而且是一种简单方便的方法,便于工程实际应用。     

Design of infrared camouflage cloak for underground silos

The temperature difference between the exposed surface of an underground silo and the surrounding soil surface is significant, which means a silo can be easily found by infrared detection. We designed an infrared camouflage cloak consisting of an imitative layer and an insulation layer for the silos. The imitative layer is used to imitate the thermal response of the soil to the surrounding environment. The insulation layer is used to weaken the impact of the internal temperature field of the silo on the lower boundary of the imitative layer. A silo model including surrounding soil and a soil model without silo were established, and the influences of the material and thickness of each layer on the infrared camouflage effect were analyzed. The results show that when using a silicone rubber containing alumina powder with a volume fraction of 3.18% as the imitative material, its thermal inertia is in consistent with that of the soil. Meanwhile, it was found that the thickness of the imitative layer doesn’t need to be greater than its thermal penetration depth to achieve the infrared camouflage, and the absence of the insulation layer will cause hot spots on the silo surface in winter to weaken the camouflage effect. The optimized thicknesses of the imitative layer and the insulation layer are 22 cm and 4 cm respectively. The simulations indicate that with the application of the cloak, the maximum value of the absolute values of the temperature differences between the average temperatures of the silo surface and the surrounding soil surface temperatures drops from 1.59 °C to 0.31 °C in summer and from 1.92 °C to 0.21 °C in winter. This designed cloak can achieve an all-weather and full-time passive infrared camouflage.     

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing. Owing to the complexity of marine environment and the particularity of underwater acoustic channel, noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing. In order to solve the dilemma, we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), minimum mean square variance criterion (MMSVC) and least mean square adaptive filter (LMSAF). This noise reduction technique, named CEEMDAN-MMSVC-LMSAF, has three main advantages: (i) as an improved algorithm of empirical mode decomposition (EMD) and ensemble EMD (EEMD), CEEMDAN can better suppress mode mixing, and can avoid selecting the number of decomposition in variational mode decomposition (VMD); (ii) MMSVC can identify noisy intrinsic mode function (IMF), and can avoid selecting thresholds of different permutation entropies; (iii) for noise reduction of noisy IMFs, LMSAF overcomes the selection of decomposition number and basis function for wavelet noise reduction. Firstly, CEEMDAN decomposes the original signal into IMFs, which can be divided into noisy IMFs and real IMFs. Then, MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs. Finally, both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained. Compared with other noise reduction techniques, the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals, which has the better noise reduction effect and has practical application value. CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection, feature extraction, classification and recognition of underwater acoustic signals.