轴向开槽对改善超磁致伸缩材料线性度影响的研究

磁致伸缩应变与磁场关系的非线性,影响了磁致伸缩控制元件的精度和稳定性。文章针对这一问题,在超磁致伸缩式微小型高速开关阀驱动部件设计基础上,提出了沿超磁致伸缩棒(GMM)轴向开槽的方法来改善GMM部件的工作性能。通过对轴向开槽前后GMM棒内部磁场强度和焦耳热分布的数值计算,分析了轴向开槽对改善磁场强度的分布和减少热损耗功率的影响,通过对GMM棒开槽前后伸缩量的测试,验证了开槽可以明显改善超磁致伸缩材料组件的非线性。     

Thermogravimetric analysis of methyl methacrylate‐graft‐natural rubber

The thermal degradations of methyl methacrylate‐graft‐natural rubber (MG) at different heating rates (B) in nitrogen were studied by thermogravimetric analysis. The results indicate that the thermal degradation of MG in nitrogen is a one‐step reaction. The degradation temperatures increase along with the increment of heating rates. The temperature of initial degradation (T₀) is 0.448B + 362.4°C, the temperature at maximum degradation rate, that is, the peak temperature on a differential thermogravimetric curve (T_p) is 0.545B + 380.7°C, and the temperature of final degradation (T_f) is 0.476B + 409.4°C. The degradation rate at T_p is not affected by B, and its average value is 48.9%; the degradation rate at T_f is not affected by B either, and its average value is 99.3%. The reaction order (n) is 2.1 and is not affected by B. The reaction activation energy (E) and the frequency factor (A) increase along with B, and the apparent reaction activation energy (E₀) is 254.6 kJ/mol. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 85: 2952–2955, 2002     

基于自适应多普勒及动态邻域的改进BA算法

蝙蝠算法（Bat Algorithm,BA）是一类新型元启发式算法,针对其在算法后期寻优精度降低、易陷入局部极值的不足,提出一种具有自适应多普勒策略及动态邻域策略的改进算法。根据蝙蝠个体在捕食过程中与猎物间存在的相对运动现象,引入自适应多普勒策略改进频率参数,增强算法全局探索的寻优能力。将动态邻域策略与BA算法有机结合,增加蝙蝠个体寻优结构的多样性,改善算法易陷入局部最优的不足。从理论上分析了改进后算法的收敛性和运算复杂性。在数值实验部分对改进后的算法进行了性能及应用测试：对10个经典标准测试函数在不同维度下进行对比实验,将其应用于求解螺旋压缩弹簧优化设计问题,并与其他算法进行了对比分析。实验结果证明了具有自适应多普勒策略及动态邻域策略的改进算法具有更优的收敛速度、收敛精度以及稳定鲁棒性。     

轻量级分组密码GIFT的一种白盒实现方案

白盒实现是将已知的密码算法通过白盒密码技术进行设计,使其在白盒攻击环境中具有与原算法相同的功能,同时保证该算法的安全性不会遭到破坏。文章提出一种轻量级分组密码GIFT的白盒实现方案,该方案主要思想是使用查找表表示密码算法每轮的输入输出,并使用不同大小的仿射函数编码查找表的输入输出。该方案需要13.92 MB的内存空间,并能抵抗BGE攻击、MGH攻击、仿射等价算法攻击和差分矩阵攻击等代数分析攻击。其中,仿射等价算法攻击的复杂度大于O(2^82)。     

计算机基础SPOC教学内容细化研究

教学内容的设计,是高职计算机基础课程SPOC教学的核心环节。基于细化理论的教学内容设计,能让学习者对知识内容有一个整体的认知,从而避免SPOC模式下碎片化学习带来的弊端。首先,根据课程目标、教材、学习者特征确定教学内容,然后基于细化理论,对教学内容中的概念性知识、理论性知识、任务知识进行分解和组织,为一线教师开展教学设计提供一些参考。     

顶部定常吸气对高层建筑模型气动力的影响

为减少高层建筑受到的风荷载,提高高层建筑抗风性能,提出一种顶部吸气的主动控制方法。在一高宽比为H/d=5的正方形截面柱体的高层建筑模型上,通过在其顶部前边缘开设狭缝进行吸气来实现流动控制。通过风洞试验研究了顶部吸气对气动力与顶部分离流的影响.利用流动可视化与流场测试结果揭示了顶部狭缝吸气的控制机理.实验对比了不同吸气系数Q(=U/U_∞,U为狭缝吸气速度)对气动力控制效果的影响,并对Q=0,1和3的三种工况下风压分布与顶部剪切流进行了详细对比.研究发现狭缝吸气改变了顶部分离流特性,并对模型所有高度上的气动力均有显著影响.Q=1时控制效果最佳,脉动阻力与脉动升力分别减小17.8%和45.5%.此时顶面分离流被削弱并伴随有再附现象且湍流强度较大,最有利于顶部剪切流与尾流间的动量交换,从而削弱柱体展向涡脱落与脉动气动力.     

高速公路施工区车辆强制换道耗时生存模型

为研究高速公路施工区车辆强制换道行为及其影响因素,采用生存分析中的半参数分析方法建立强制换道耗时的乘法风险率模型.通过无人机拍摄采集高速公路施工区的车辆换道耗时及其影响因素数据,最终确立换道耗时Cox比例风险模型,对换道耗时数据进行Cox回归建模分析.结果表明:近77%的换道车辆在10 s内完成换道;小型车和中型车经养护施工区的换道耗时未发现显著性差别;对于相同的换道耗时,平峰期的累积生存率明显低于高峰期和过渡时期,而高峰期的累积生存率最高.建立的强制换道耗时生存模型可有效的定量分析车型和交通时段对高速公路施工区车辆换道行为的影响,可为高速公路施工区交通管理控制及车辆换道行为建模及仿真奠定一定的理论基础.     

Effect of deposition time on microstructures and growth behavior of ZrC coatings prepared by low pressure chemical vapor deposition with the Br<Subscript>2</Subscript>-Zr-C<Subscript>3</Subscript>H<Subscript>6</Subscript>-H<Subscript>2</Subscript>-Ar System

ZrC coatings were deposited on graphite substrates by low pressure chemical vapor deposition (LPCVD) with the Br₂-Zr-C₃H₆-H₂-Ar system. The effects of deposition time on the microstructures and growth behavior of ZrC coatings were investigated. ZrC coating grew in an island-layer mode. The formation of coating was dominated by the nucleation of ZrC in the initial 20 minutes, and the rapid nucleation generated a fine-grained structure of ZrC coating. When the deposition time was over 30 min, the growth of coating was dominated by that of crystals, giving a column-arranged structure. Energy dispersive X-ray spectroscopy showed that the molar ratio of carbon to zirconium was near 1:1 in ZrC coating, and X-ray photoelectron spectroscopy showed that ZrC was the main phase in coatings, accompanied by about 2.5mol% ZrO₂ minor phase.     

四维混沌系统及其在图像加密中的应用

传统基于低维混沌系统的图像加密算法往往具有密钥空间较小、安全性较差的问题。针对这些问题,首先提出了一类新的平衡点不稳定的四维离散混沌系统,通过数值仿真对该类系统进行了动力学行为分析,正的Lyapunov指数的个数可以达到三个。同时并基于该类混沌系统设计了一个新的图像加密方案,并进一步对明密文的分布直方图、相关系数、信息熵以及加密方案对参数的敏感性进行了分析。分析结果表明,该加密方案抵抗外来攻击的能力强,密钥空间可达2996△,具有较高的安全性。     

Constructing confidence intervals of extreme rainfall quantiles using Bayesian,bootstrap, and profile likelihood approaches

Hydrological risk is highly dependent on the occurrence of extreme rainfalls.This fact has led to a wide range of studies on the estimation and uncertainty analysis of the extremes.In most cases,confidence intervals(CIs)are constructed to represent the uncertainty of the estimates.Since the accuracy of CIs depends on the asymptotic normality of the data and is questionable with limited observations in practice,a Bayesian highest posterior density(HPD)interval,bootstrap percentile interval,and profile likelihood(PL)interval have been introduced to analyze the uncertainty that does not depend on the normality assumption.However,comparison studies to investigate their performances in terms of the accuracy and uncertainty of the estimates are scarce.In addition,the strengths,weakness,and conditions necessary for performing each method also must be investigated.Accordingly,in this study,test experiments with simulations from varying parent distributions and different sample sizes were conducted.Then,applications to the annual maximum rainfall(AMR)time series data in South Korea were performed.Five districts with 38-year(1973–2010)AMR observations were fitted by the three aforementioned methods in the application.From both the experimental and application results,the Bayesian method is found to provide the lowest uncertainty of the design level while the PL estimates generally have the highest accuracy but also the largest uncertainty.The bootstrap estimates are usually inferior to the other two methods,but can perform adequately when the distribution model is not heavy-tailed and the sample size is large.The distribution tail behavior and the sample size are clearly found to affect the estimation accuracy and uncertainty.This study presents a comparative result,which can help researchers make decisions in the context of assessing extreme rainfall uncertainties.