泡沫轻质土及其在改扩建工程中的应用分析

以广西南宁经钦州至防城港段改扩建工程采用泡沫轻质土进行填筑施工为例,详细论述了泡沫轻质土的结构与性能指标,明确了泡沫轻质土的施工技术要点及其应用优势,以期为类似项目提供有价值的参考。     

西安至韩城城际铁路线路走向方案研究

西安至韩城城际铁路是关中城市群城际铁路网中的重要项目,线路方案受沿线城镇布局、城市规划、环境保护区、煤矿采空区、旅游开发区等多种因素影响。从规划选线、环保选线、地质选线、工程选线以及站位选线等不同方面,以综合选线的研究方法在众多的控制因素中通过技术经济比选和利益平衡选择出一个能够满足各方利益诉求的线路方案。目前本项目已经通过预可行性研究初步评审,评审专家和沿线地方政府均对推荐的线路方案予以肯定。     

中小跨径钢与组合结构桥梁选型研究

综合考虑实际工程的建设需要,针对拆除重建引桥、净空受限拼宽桥、互通支线上跨桥几种典型的改扩建应用场景,分别从桥梁适用性、经济性、耐久性等方面对潜在的应用桥型进行方案比选,从而确定不同应用场景中合理的桥梁选型,对钢与组合结构桥梁在中小跨径建造和应用领域进行了有益的探索。     

枢纽扩建船闸工程上游设计最低通航水位的确定

上游设计最低通航水位是船闸工程建设的关键技术参数之一,直接影响船闸使用性能、投资和工期。针对已建枢纽扩建船闸工程上游设计最低通航水位取值的问题,根据株洲枢纽实测水位,进行枢纽实际最低运行水位和保证率水位的分析,对不同特征水位时二线船闸工程投资情况、一线船闸运行情况及渠化梯级间水位衔接情况进行论述,采用模型试验验证和测算投资比较的方法,得出株洲二线船闸上游设计最低通航水位宜采用38. 3 m的结论。该研究方法对山区、丘陵区枢纽扩建船闸工程具有借鉴意义。     

径流式枢纽改扩建船闸确定最低通航水位的方法

低水头径流式电站往往为不调节水库。为控制库区淹没线,洪水期常采用预泄腾空库容的方式运行,受洪水流量及持续时间不同的影响,不同时期枢纽运行的低水位变化较大,给确定船闸最低通航水位带来了复杂性。以湘江大源渡航电枢纽新建的二线船闸工程为例,采用综合历时曲线法和瞬时水位持续时间、次数进行分析,结合河段的通航实际情况,确定船闸最低通航水位,可为类似径流式枢纽确定船闸最低通航水位提供借鉴。     

用新观点研究预测中国2010--2011年车市发展

为分析研究2011年及近期车市发展趋势,供汽车产销单位经营决策参考,采用“车市波动分析法”,用车市季度主要参数表和年度车市波动图分析车市实际走势。肯定了汽车产销量超美的成绩。指出2010年车市逐季度大幅回落趋势,分析了罕见的“波形异常”问题的影响及原因。对2011年面临形势进行了分析和预测：车市处于扩张后期,中下等市场,2011年后车市仍有可能小幅回升,对“十二五”期间车市发展持审慎乐观态度。     

浅海信道宽带信号波形快速预报方法

随着信号处理技术的发展,对浅海信道传输特性的研究与利用日益受到重视。文章研究了浅海典型环境中水下宽带信号波形的快速数值预报方法。基于波束位移射线简正波（BDRM）理论,利用傅立叶方法求解宽带传播模型,在宽带模型计算过程中,通过宽带模型频域近似展开和模型并行化两种方式,实现快速准确的宽带信号波形预报。     

基于FPGA的单片机端口扩展设计

针对单片机端口少的问题,应用FPGA对单片机进行端口扩展。FPGA端口数量巨大,片上资源丰富,可以方便灵活的对单片机端口进行各种形式的扩展。而且FPGA的再开发能力很强,可以根据实际应用的需要,和单片组成更加强大的系统。     

Competition and disruption in a dynamic urban supply chain

Rapid changes and complexities in business environments have stressed the importance of interactions between partners and competitors, leading supply chains to become the most important element of contemporary business environments. There is a concomitant need for foresight in describing supply chain performance in all operating environments, including those involving punctuated disruptions. Furthermore, the urban metropolis is now widely recognized to be an environment which is especially vulnerable to supply chain disruptions and for which integrated supply chain decisions can produce very substantial net benefits. Accordingly, this paper presents a dynamic supply chain network model formulated as a differential variational inequality; the model is fashioned to allow consideration of supply chain disruption threats to producers, freight carriers, and retail enterprises. The DVI is solved using a fixed-point algorithm, and a simple numerical example, introduced to illustrate how the impacts of supply chain disruptions may be quantified, is presented.     

Clockwise hysteresis loops in the Macroscopic Fundamental Diagram: An effect of network instability

A recent study reported that the Macroscopic Fundamental Diagram of a medium size city exhibited a clockwise hysteresis loop on a day in which a major disturbance caused many drivers to use unfamiliar routes. It is shown below that, even in a perfectly symmetric network with uniform demand, clockwise loops are to be expected when there are disturbances, especially if the disturbances cause a significant fraction of the drivers to not change routes adaptively. It is also shown that when drivers are not adaptive networks are inherently more unstable as they recover from congestion than as they are loaded. In other words, during recovery congestion tends more strongly toward unevenness because very congested areas clear more slowly than less congested areas. Since it is known that uneven congestion distributions reduce network flows, it follows that lower network flows should arise during recovery, resulting in clockwise loops. Fortunately, the presence of a sufficient number of drivers that choose routes adaptively to avoid congested areas helps to even out congestion during recovery, increasing flow. Thus, clockwise loops are less likely to occur when driver adaptivity is high.