基于倒塌分析的连续梁桥地震损伤评估方法

为了掌握钢筋混凝土连续梁桥在地震作用下从完好到倒塌的破坏历程,首先,基于振动台试验研究对两跨连续梁桥模型进行倒塌仿真分析;其次,建立结构层次的单一倒塌准则;最后,根据影响结构倒塌的关键构件提出两跨连续梁桥地震损伤的整体评价指标D和破坏等级划分标准。结果表明:提出的能量比指标可以有效识别出地震损伤时刻甚至倒塌时刻,当能量比小于能量比限值时即可判定进入倒塌阶段;纵向地震动作用下中墩墩柱和固定支座是关键受力构件;基于关键构件提出的两跨连续梁桥地震损伤整体评价指标D可对不同损伤程度的两跨连续梁模型桥进行评估,该评价体系也可为同类桥型的地震损伤评估和抗震加固提供参考。     

建筑体型和立面设计的基本要求及其设计方法表现

建筑体型和立面设计直接关系到整个建筑功能的发挥和建筑整体外观的和谐。本文对建筑体型和立面设计的关系及影响因素进行了分析,并在此基础上,结合具体实例,对建筑体型和立面设计基本要求和设计表现方法进行了探讨。     

Graphene: A promising candidate for charge regulation in high-performance lithium-ion batteries

The development of rechargeable lithium-ion batteries (LIBs) is being driven by the ever-increasing demand for high energy density and excellent rate performance. Charge transfer kinetics and polarization theory, considered as basic principles for charge regulation in the LIBs, indicate that the rapid transfer of both electrons and ions is vital to the electrochemical reaction process. Graphene, a promising candidate for charge regulation in high-performance LIBs, has received extensive investigations due to its excellent carrier mobility, large specific surface area and structure tunability, etc. Recent progresses on the structural design and interfacial modification of graphene to regulate the charge transport in LIBs have been summarized. Besides, the structure-performance relationships between the structure of the graphene and its dedicated applications for LIBs have also been clarified in detail. Taking graphene as a typical example to explore the mechanism of charge regulation will outline ways to further understand and improve carbon-based nanomaterials towards the next generation of electrochemical energy storage devices.

     

Economic optimization of off-line inspection

In this paper we solve the problem of determining the optimal inspection/disposition policy for a finite batch of items produced by a machine that is subject to random breakdowns. In particular, we identify which units should be inspected and in which order so as to minimize costs. The operational implications of the optimal policy are analyzed with a selected set of numerical results. We place special emphasis on three different policies: the cost minimizing policy; the policy of perfect information, i.e., we insist on determining the quality of each unit; and the policy of zero-defects,i.e., we insist that all accepted units are known to conform to specifications, allowing the rejection of units of unknown quality. We also show how the optimal inspection/disposition policy is incorporated into the optimization of the batch size.     

GSM系统中掉话分析及解决方法

掉话率是网络优化中的一项重要指标,直接影响到移动用户对运营商的满意度。从覆盖、切换、干扰、硬件、传输等几个方面分析了GSM网络优化中经常碰到的几种掉话,并通过分析各种掉话的产生原因,提出解决办法。     

基于气候因素的变转速空调器全年能效分析及实验研究

对变转速空调器能效标准GB21455—2013中的评价指标全年能源消耗效率APF进行研究,以某型号变转速空调器为研究对象,结合典型气象年的资料建立两种运行模式。通过实验并计算获得该空调器在不同城市、不同模式下的制冷季节能效比SEER、制热季节能效比HSPF。引入运行时间在温度区间上的累计速度TAS,分析了SEER、HSPF与TAS之间的关系,得出:提升空调器的能效比应注重不同温度区间段上的提升。计算出各标准、各城市及各模式下的APF,分析SEER、HSPF与APF之间的关系得出:标准中规定的制冷、制热温度发生时间并不能全面体现变转速空调器在我国不同地区实际运行时的APF,提高APF必须侧重于提高HSPF。     

Measuring Narrative Believability: Development and Validation of the Narrative Believability Scale (NBS‐12)

Believability has been proposed as a factor influencing the persuasiveness of narratives. A measure of narrative believability was developed and validated. Study 1 details the construction and evaluation of the Narrative Believability Scale (NBS‐12) in terms of internal consistency. Study 2 evaluates the criterion‐related and construct validity of the scale. Study 3 tests the predictive validity of the measure for identifying juror verdicts and verdict confidence over and above the influence of other measures, including presentation order, attorney credibility, bias, and transportation. The NBS‐12 was found to be a psychometrically robust measure of narrative believability and was able to predict variance in verdicts and verdict confidence. These results have implications for narrative persuasion research and understanding juror decision making.     

那一方闲适——掠摄苏黎士

瑞士酒店集团（Swissotel）算是世界知名的酒店集团了，在国内已有多家酒店，今年为纪念上海的宏安瑞士大酒店开幕，于是搞了一个双向的文化交流活动——分别从瑞士经济中心苏黎士和中国上海各安排一位摄影师去对方的城市拍摄，然后在上海的宏安瑞士大酒店开业典礼上将双方的摄影作品进行展览。碰巧，我成了受到邀请的中国摄影师。我喜欢记录到过的每一个城市的人文风情，对这种赴一个陌生城市拍摄一周的邀请自会欣然接受。于是怀揣着对这个美丽城市的好奇，我踏上了旅程。     

Branch Classification: A New Mechanism for Improving Branch Predictor Performance

There is wide agreement that one of the most significant impediments to the performance of current and future pipelined superscalar processors is the presence of conditional branches in the instruction stream. Speculative execution is one solution to the branch problem, but speculative work is discarded if a branch is mispredicted. For it to be effective, speculative execution requires a very accurate branch predictor; 95% accuracy is not good enough. This paper proposes branch classification, a methodology for building more accurate branch predictors. Branch classification allows an individual branch instruction to be associated with the branch predictor best suited to predict its direction. Using this approach, a hybrid branch predictor can be constructed such that each component branch predictor predicts those branches for which it is best suited. To demonstrate the usefulness of branch classification, an example classification scheme is given and a new hybrid predictor is built based on this scheme which achieves a higher prediction accuracy than any branch predictor previously reported in the literature.     

Preparng the right data diet for training neural networks

Neural networks are a good way to interrelate nonlinear variables in a robust manner. The simplex method for optimization is not nearly as effectual, and neither are the various statistical methods for classifying and associating data and predicting results. The reason is that neural networks are put through a training phase, during which they can automatically fine-tune themselves as often as proves necessary to get the desired performance. Of course, the old adage “garbage in...garbage out” applies as much to neural networks as it does to all other data-processing applications. If the training data set (the collection of input data and its associated correct output data) is not thoughtfully chosen, the resulting network is unlikely to hold up well in an industrial environment. So it is hardly surprising that massaging the set of training data consumes some 80 percent of the engineering time spent getting a real-world neural network up and running-that is, getting it to converge under a broad enough range of conditions to be deployed with confidence in a production situation. If that data preparation is done systematically, much time can be saved and a more robust end-product can be obtained. A nine-step process is given that experience (the author's) has shown can enhance the probability of obtaining a learning convergence robust enough for industrial use