水面小尺度漂浮平台动力学响应分析

针对由弹性连接件形成的多浮体系统,基于修正的莫里森公式应用微元法推导了主平台和浮囊的受力模型,建立了水面小尺度漂浮平台的动力学方程,并分析了连接件刚度和浮囊直径对主平台幅值运动响应的影响。通过仿真和试验结果对比验证了理论模型的正确性。结果表明,连接件刚度对主平台幅值运动响应的影响远大于浮囊直径,主平台的幅值响应随连接件刚度呈"W"变化,最优的连接件刚度为40×10~4N/m;主平台的幅值响应随浮囊直径呈微弱增长,最优的浮囊直径为2.5 m。研究结果可为水面小尺度漂浮平台的弹性连接件和浮囊参数的设计提供依据。     

薄壁箱梁挠曲性能的矩阵分析

在选取薄壁箱梁剪力滞控制微分方程的齐次解作为单元位移函数建立形函数矩阵基础上,运用虚功原理推导竖向集中荷载作用下单元等效节点力公式,提出双室箱梁的合理剪滞翘曲位移函数。通过对变截面悬臂箱梁有机玻璃模型进行计算,验证提出的梁段单元对分析变截面箱梁的有效性。结合实际箱梁算例,分析预应力混凝土变截面连续箱梁的挠曲性能。研究结果表明:所提出的梁段单元用于变截面箱梁分析时,具有较高的计算精度;在竖向集中荷载作用下,箱梁剪滞力矩图是一条平滑曲线,任意截面处剪滞力矩均不大于弯矩;剪滞效应使连续箱梁的跨中挠度明显增大,工程实践中必须认真对待。     

某重卡公司自卸车转向横拉杆强度校核

本文分析了某自卸车横拉杆的受力，通过计算横拉杆的临界力以及受到的最大压力，校核其安全系数，进而指出使用环境恶劣是横拉杆弯曲变形的重要原因。     

长大编组列车纵向动作用力遥测系统

介绍了俄罗斯长大编组列车纵向动作用力遥测系统。试验结果表明,测试值和计算值的最大差值在±5%以内。     

曲线区段线索张力变化对吊弦计算的影响

通过分析曲线线路上影响承力索张力变化的因素,得出了张力差公式,进而对吊弦计算中承力索张力值进行控制,以提高吊弦计算精确度。     

磁悬浮列车U型悬浮电磁铁电磁力的数值计算与分析

应用电磁场分析软件对常导磁悬浮列车U型悬浮电磁铁的各种电磁力进行数值计算，分析悬浮电磁铁的气隙，水平错位及侧滚角对悬浮力，导向力，侧滚力矩的影响，并将结果与解析计算进行比较，所求得的电磁铁受力结构能为悬浮控制系统和导向控制系统的设计提供准确的设计参数，为磁悬浮转向架抗侧滚梁的优化设计提供可靠的数据。     

基于自适应四叉树的实时动态地形生成

提出了一种基于自适应四叉树多分辨率实时动态地形成生成模型，算法包括对原始数据自适应输入和表态裁剪、更新了误差判断准则、开发了帧间连贯性。实验表明，该算法简单、有效，支持对地模型的交互式实时动态绘制。     

INFLUENCE OF SURFACE MORPHOLOGY ON THE MICROHARDNESS OF ELECTROLESS Ni-B DEPOSIT REVEALED BY AFM OBSERVATION

Introduction　　 Electroless Ni- B alloy has many advantagessuch as superior hardness,excellent wear- resis-tance and some special electrical and magneticproperties[1,2 ] . It can be prepared with eitherDimethylamineborane( DMAB) or sodium borohy-dride as reductant[3 ,4] .The deposits with lowerboron contentwhich are mainly applied to electron-ic industry[5] are prepared by DMAB.While sodi-um borohydride can bring about higher boron con-tent deposits which are chiefly used as wear- resis-…     

深水钻井隔水管静态性能参数敏感性分析

采用ABAQUS软件，建立深水钻井隔水管的有限元模型，对隔水管的力学性能进行了研究。在此基础上，对隔水管参数敏感性进行了分析，研究深水钻井隔水管力学性能在不同工况下的变化规律，得到一些有用的结论可供工程应用参考。     

Prediction method of hydrodynamic forces acting on the hull of a blunt-body ship in the even keel condition

The mathematical modeling group (MMG) model is well known and is widely used in the field of ship maneuverability. However, the MMG model can be applied only after determination of the hydrodynamic coefficients either from comprehensive captive model tests or from general empirical data. Around the cruising speed, when a ship's drift angle is relatively small, several methods have been developed to predict hydrodynamic coefficients from the ship's principal particulars, e.g., Kijima's method. Kijima's method is efficient in predicting the ship's maneuverability at the initial design stage and is even able to assess the effect of changes in stern design. Similarly, for the low speed range when a ship's drift angle is relatively large, several methods for predicting the ship's hydrodynamic coefficients have been proposed, based on captive model tests, such as those by Kose, Kobayashi, and Yumuro. However, most of the methods developed for low speeds cannot be applied to general ship types without additional experiments being performed. In contrast, Karasuno's method uses theoretical and empirical approaches to predict the hydrodynamic forces, even for large drift motions. Although Karasuno's model utilizes the ship's principal particulars and is applicable to a general vessel, it has not been widely used. This is because the form of Karasuno's model is relatively complicated and its accuracy around the cruising speed is less than that for other methods that have been specifically developed for the cruising speed range. A practical method for predicting hydrodynamic forces for the entire operating speed range of blunt-body ships is proposed in this article. It is based on the MMG model and predicts hydrodynamic coefficients based on a ship's principal particulars. A regression model for the proposed method has also been proposed by analyzing 21 different blunt-body ships. Finally, simulations of a very large 4-m crude carrier (VLCC) model using the proposed method were carried out and the results compared with free-running experiments (both at the cruising speed and at low speeds) to validate the efficacy of the model.