体外预应力主动加固技术施工控制分析

根据某T型刚构桥的病害情况、受力特点,采用有限元软件midas/civil对结构进行三维空间有限元建模计算分析。通过对某特大桥的体外预应力加固全过程进行现场施工监控,分析比较体外预应力筋的索力、结构的应力、挠度改变量等的理论值和实测值,得出有价值的结论,用于指导工程实践。     

分布式作战体系的自同步构建研究

提出分布式作战体系构建的“Bottom Up”思想，在体系描述的基础上提出分布式作战体系遵循“Bottom Up”进行自同步构建与重构行为的基本思想、行为原则以及自同步构建流程与具体内容，其流程的包括从使命目标的分解与任务建模到确定任务序列关系的行动规划、从行动规划方案到任务计划、从任务计划输出至作战单元的协同问题、作战单元的编成问题以及作战单元间的信息计划，分析构建框架中存在的关键技术问题，指出作战体系构建中存在的问题以及未来的发展方向。     

低地板轻轫车辆车体连接铰强度分析

根据5节编组的100%低地板轻轨车辆连接铰型式和受力特点,建立了车体的静力平衡方程组,推导出了连接铰受力的解析表达式.采用EN 12663规范,使用有限元分析软件,校核了固定铰上铰的静强度和疲劳强度.     

地铁十字交叉换乘车站全暗挖同步建造技术

从北京地铁黄庄站工程特点及建设条件影响分析入手,阐明采用全暗挖法技术在复杂环境条件下同步建造十字换乘车站的必要性,并就一次扣拱暗挖逆作法、暗挖交叉节点结构形式、暗挖进洞、环境保护及风险控制等暗挖关键技术进行阐述。     

船用无刷发电机励磁系统改装

船舶电站系统经多年运行后,其发电机控制系统器件老化,原始资料丢失,功能不完善,虽勉强能运行发电,但远不能满足船舶正常工作的供电需求。若更新发电机或订购原制造商的配件,需投入大量资金和时间,对于营运20多年的旧船来说,投入的可能性和经济性不大,而利用现行产品和技术对其进行改造,是1个很好的修复方案。文中的改装实例可为老龄船舶发电机的修复提供参考。     

长周期波浪在礁盘陡变地形上的变形研究

随着岛礁工程建设的发展,长周期波浪在岛礁地形上变形研究有非常重要的现实意义。以马尔代夫机场岛近岸礁盘地形为研究背景,通过格林法则、椭圆余弦波等理论方法对波浪浅水变形进行计算,利用断面物理模型试验进行对比分析;开展岛礁地形的整体物理模型试验,研究长周期波浪在岛礁地形上的变形,分析岛礁地形上的波高增大系数。     

感应加热电源并联控制系统的通信设计与实现

基于西门子S7-200 SMART PLC和DSP处理器,设计了感应加热电源并联控制系统,建立了DSP和PLC之间、PLC与触摸屏HMI之间的通信协议并编写程序,实现了DSP与PLC之间的数据传输。实际应用表明:该系统通信效果良好,具有较强的实用价值。     

基于Agent的变电站通信研究

多智能体(Agent)系统能有效解决分布式问题,电力系统属于分布式结构。文章以智能变电站为研究对象,将Agent技术与IEC 61850标准相结合,分析了Agent技术解决IEC 61850通信时可能的通信对象冲突问题。将IED设备作为Agent,在相同局域网内通过实现多Agent自治算法协调系统,设置消息过滤和创建轮询Agent,来避免通信的混乱;在不同局域网间依靠TCP/IP协议传输消息,解决了变电站复杂的分布式通信问题。     

Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Approximate method for reliability assessment of complex phased mission systems

Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.