Reinforcement and numerical analysis on the corbel of a half-through arch bridge

Corbels support the crossbeams of half-through arch bridges. They are prone to cracking easily due to their characteristics and complicated loading conditions. Based on a practical diagnosis of a bridge crossbeam, we bonded steel plates onto bridge corbels to strengthen them. We carried out a numerical analysis on the effectiveness of the reinforcement by using the commercial sof~are ANSYS. The numerical analysis shows that the stresses near the section break increased slightly, but the variation amplitude was small and all the stresses were within an allowable range. The loading test indicates that it is feasible to strengthen the corbel with vertical bonded steel plates. Therefore, the reinforcement is effective and economical. This reinforcement method is suitable for this type of corbel and can be applied in similar cases.     

金家水库除险加固工程设计

首先确定了工程等别、建筑物级别及洪水标准,然后分别从拦河坝、溢洪道和输水洞等方面进行水库除险加固工程设计。     

Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering

Modeling users in information filtering systems is a difficult challenge due to dimensions such as nature, scope, and variability of interests. Numerous machine-learning approaches have been proposed for user modeling in filtering systems. The focus has been primarily on techniques for user model capture and representation, with relatively simple assumptions made about the type of users' interests. Although many studies claim to deal with adaptive techniques and thus they pay heed to the fact that different types of interests must be modeled or even changes in interests have to be captured, few studies have actually focused on the dynamic nature and the variability of user-interests and their impact on the modeling process. A simulation based information filtering environment called SIMSFITER was developed to overcome some of the barriers associated with conducting studies on user-oriented factors that can impact interests. SIMSIFTER implemented a user modeling approach known as reinforcement learning that has proven to be effective in previous filtering studies involving humans. This paper reports on several studies conducted using SIMSIFTER that examined the impact of key dimensions such as type of interests, rate of change of interests and level of user-involvement on modeling accuracy and ultimately on filtering effectiveness.     

多智能体系统中强化学习模型的改进及应用

多Agent系统中的强化学习是近年发展起来的一种新的人工智能方法,是以单Agent强化学习Q-learning算法为基础的一种学习模型,由于现有的强化学习模型还存在着结构信度分配困难、学习速度慢等缺陷,这些缺陷大大限制了多Agent强化学习模型的应用范围,本文对多Agent强化学习模型进行了系统的研究,分析了多Agent理论中强化学习面临的任务,指出在多Agent系统顺序型任务中遇到的时间信度分配难题及多Agent系统Agent间＂状态-动作＂对Q值估计的互通问题,对此问题提出了初步的解决办法,并在此基础建立了一个改进的多Agent强化学习模型,而且把该模型应用于电磁辐射源识别工作中。     

UHPC在混凝土梁的加固应用研究进展

超高性能混凝土(Ultra-High Performance Concrete,UHPC)已经在混凝土结构的加固中得到广泛的应用。对在役混凝土梁常见的病害及工程中常用加固方法的优缺点,以及UHPC应用于混凝土梁加固的技术可行性、优缺点、应用前景进行分析,并对既有的UHPC加固梁的施工工艺、受力性能及计算方法等进行综述。研究结果表明:与传统的加固方法相比,采用UHPC对钢筋混凝土梁进行加固,无论在技术可行性、结构耐久性和工程造价方面,均存在明显的优势;与未加固的混凝土梁相比,UHPC 加固梁的承载能力和刚度等力学性能均大幅提高,且对旧桥自重的影响有限;其加固施工工艺是影响增大截面加固效果的重要因素,需结合工程案例开展系统研究;由于加固结构大多已服役数年,在计算加固构件的承载力时,初始损伤对结构承载力的折减是今后需要重点研究的问题。     

边坡加固锚索预应力损失的探讨

锚索预应力损失问题是关系到锚固工程安全与否的重要因素。通过对相关边坡工程的监测资料分析,探讨预应力锚索加固边坡的机理、锚索预应力损失的影响因素以及锚索预应力的变化规律,并在此基础上提出应力补偿的措施。     

过渡段施工桥头跳车病害的综合加固施工技术

结合济焦新高速公路过渡段施工的具体情况,介绍为解决桥头跳车病害,采用粉喷桩进行地基加固、桩柱、肋板式桥台和回填的施工方法、施工工艺及质量控制要点．     

钢筋混凝土结构最新发展动向

介绍了钢筋混凝土结构在材料,结构形式,施工技术等方面的最近成果,包括高性能混凝土,新规格的钢筋及连接技术,钢－混凝土组合结构新工艺,新型模板等内容。     

Reinforcement-Based Fuzzy Neural Network ontrol with Automatic Rule Generation

A reinforcemen-based fuzzy neural network control with automatic rule generation RBFNNC) is pro-posed. A set of optimized fuzzy control rules can be automatically generated through reinforcement learning based onthe state variables of object system. RBFNNC was applied to a cart-pole balancing system and simulation resultshows significant improvements on the rule generation.     

关于教学质量年的几点思考

从理论与实践的结合上，认为要加快学院发展、提高办学水平和教育教学质量，应当进一步解放思想，转变教育教学观念；深化教学改革和人才培养模式改革；积极进行教学内容、教学方法改革；加强教学管理和学风建设。