活性钛阳极性能的试验研究

阴极保护等电化学技术被越来越多地用于氯盐等严酷环境中钢筋混凝土结构的腐蚀保护,辅助阳极是整个保护系统的重要组成部分,其在混凝土中的工作性能和耐久性直接决定保护年限.选用了3种目前钢筋混凝土结构阴极保护中常用的活性涂层钛阳极,研究了涂层的化学成分和微观结构,以及在混凝土模拟孔溶液中的电化学性能和强化寿命.结果表明,涂层的成分和微观结构对它们在氯离子和高碱性的混合介质中的性能具有重要的影响,其中Ir/Ta混合氧化物阳极具有较好的电化学性能和耐久性,较适合于钢筋混凝土结构电化学保护中的辅助阳极.     

船用燃油新标准及管理对策

介绍MARPOL 73/78防污规则附则Ⅵ、欧盟2005/33/E中对船用燃油的要求和船用燃油最新标准ISO 8217:2010,讨论低硫燃油、燃油中的污染物对船舶设备可能造成的影响。     

船用柴油机汽缸套的过度磨损实例分析及管理

针对船用柴油机常见的汽缸套异常磨损故障,结合实例分析其产生原因,提出相应的预防措施和对策,并对汽缸套的日常管理和维护提出切实可行的管理建议。     

阻振质量参数对动力舱段隔振性能影响规律研究

Rigid blocking masses are located in the typical base structure of a power cabin based on the impedance mismatch principle.By combining the acoustic-structural coupling method and statistical energy analysis,the full-band vibration and sound radiation reduction effect of vibration isolation masses located in a base structure was researched.The influence of the blocking mass’ cross-section size and shape parameters and the layout location of the base isolation performance was discussed.Furthermore,the effectiveness of rigid vibration isolation design of the base structure was validated.The results show that the medium and high frequency vibration and sound radiation of a power cabin are effectively reduced by a blocking mass.Concerning weight increment and section requirement,suitably increasing the blocking mass size and section height and reducing section width can result in an efficiency-cost ratio.     

高阶非齐次马氏链多元函数序列的一类强偏差定理

通过引进广义样本散度概念,采用构造相容分布和非负上鞅方法,研究了任意相依随机变量序列截尾甬数关于m阶非齐次马氏链的一类强偏差定理,作为推论得到了任意相依随机变量序列的几个强偏差定理.     

汽车远程监控诊断系统的功能设计和应用研究

通过对集成GPS、远程通讯和汽车CAN线诊断技术的远程监控诊断系统的功能设计,对实现方案进行说明和分析,研究其在汽车研发过程中的应用,并展望将来面向用户的应用.     

隧道修复方案中结构安全性的有限元分析方法

为了明确在进行某隧洞内修补时所加固的措施能确保施工安全,采用ANSYS和PLAXIS软件进行分析,并在事故发生的3个月后,采用暗挖方法对隧道进行修复,修复过程顺利,有限元分析结果与现场实际情况较为相符。     

集料的资源特性指标研究

从集料的资源特性指标来分析沥青路面施工技术规范对集料各项技术指标要求的合理性,对相关工程项目具有一定的参考和借鉴意义。     

高速铁路接触网研究进展

接触网与受电弓之间动态性能是影响列车运行的重要因素之一,高速铁路中接触网的不良状态直接影响牵引供电系统对动车组的供电安全.论文系统地讨论了高速铁路接触网研究的4个方面,即接触网的初始平衡态求解、接触网动力学建模、接触网非接触检测和接触网静态动态评估,并给出了目前高速铁路接触网研究的最新进展:针对接触网的初始平衡态求解精度不高的问题,通过引入多目标约束的结构找形方法和非线性有限元过程进行求解;在接触网动力学建模方面,考虑环境风对接触网影响的问题,通过环境风模拟和风洞实验获得气动力系数,建立沿线风场进行接触网风振特性分析;对于接触网非接触检测算法的精度不高问题,基于深度学习理论的检测技术和实时图像检测算法是今后发展方向;针对目前接触网动态评估方法缺乏的问题,现代谱估计、时频分析和大数据技术及其融合将是今后接触网评估的重要手段.      

Saliency motivated pulse coupled neural network for underwater laser image segmentation

The detection range of underwater laser imaging technology achieves 4—6 times of detection range of conventional camera in intervening water medium, which makes it very promising in oceanic research, deep sea exploration and robotic works. However, the special features in underwater laser images, such as speckle noise and non-uniform illumination, bring great difficulty for image segmentation. In this paper, a novel saliency motivated pulse coupled neural network(SM-PCNN) is proposed for underwater laser image segmentation. The pixel saliency is used as external stimulus of neurons. For improvement of convergence speed to optimal segmentation, a gradient descent method based on maximum two-dimensional Renyi entropy criterion is utilized to determine the dynamic threshold. On the basis of region contrast in each iteration step, the real object regions are effectively distinguished,and the robustness against speckle noise and non-uniform illumination is improved by region selection. The proposed method is compared with four other state-of-the-art methods which are watershed, fuzzy C-means, meanshift and normalized cut methods. Experimental results demonstrate the superiority of our proposed method to allow more accurate segmentation and higher robustness.