灌注桩复合缺陷的低应变反射波法检测实例分析

低应变反射波法较易判断桩顶以下首个缺陷,而当灌注桩存在复合缺陷时,因缺陷反射的叠加效应将导致其他缺陷难以识别甚至影响首个缺陷的判断。结合高桩码头灌注桩低应变反射波法检测实例,分析不同类型复合缺陷的反射波曲线特征,研究复合缺陷的识别和检测方法,并提出接桩、拔除外套筒、增加护筒长度及优化泥浆更新方法、凿除桩头等验证及处理措施。     

Uncertainty analysis of the large zone economic module of the simple,efficient, elegant,and effective model (SE3M) of land use and transportation

Integrated land use and transportation forecasting models are used to assist decision-makers in the policy analysis and infrastructure capital improvement selection process. These models are typically given precise, point-estimate inputs that are mathematically linked, through a series of submodels, to forecasted model outputs. These point-estimate inputs represent an unrealistic level of precision and a growing body of research is focusing on statistical techniques to model uncertainty in model inputs and parameters and tracking the effects of this uncertainty through the various submodels to the model outputs. This paper presents an uncertainty analysis of the Large Zone Economic Module (LZEM) of the Simple, Efficient, Elegant, and Effective Model (SE³M) of land use and transportation. Three case-study implementations of the model are used to obtain a reasonably sound approximation of how uncertainty affects LZEM outputs: Guam, Puerto Rico, and Oahu, Hawaii. These case studies were the subject of an early transferability study with SE³M and were selected based on both their insularity and diverse physical, economic, and demographic geographies. The findings of this research demonstrate that LZEM has a robust framework, with the potential to estimate error both in the positive and negative direction under uncertain input/parameter conditions.     

基于案例推理的交通基础设施PPP项目再谈判触发点识别研究

为了减少再谈判的发生,降低管理成本,提高效率,提出基于案例推理的再谈判触发点识别模型。首先,运用粗糙集理论对初始案例特征属性进行约简,并综合使用熵权法和层次分析法对各案例特征属性权重进行优化; 然后,通过案例总体相似度检索与拟建PPP项目相似的源案例,识别出拟建项目最有可能发生的再谈判触发点; 最后,以深圳梧桐山隧道PPP项目为例,验证模型的合理性与有效性,同时,提出相应的事前预防措施。     

Recognizing metro-bus transfers from smart card data

Transfer points between metro and bus services remain an elusive, yet critical junction for transportation practitioners. Based on massive Smart Card (SC) data, previous studies apply a one-size-fits-all criterion to discriminate between transfers. However, this is not sufficiently convincing for different transfer pairs. To counter this problem, this study applies an association rules algorithm and cluster analysis to recognize metro-to-bus transfers using SC data, and demonstrates transfer recognition in a case study based on SC data collected during a week in Nanjing, China. It is shown that 85% of the transfer-recognition results are quite stable through the whole week, and the median transfer time between metro and bus is below 20?min. The method proposed in this study can be used to identify the busiest transfer points and to obtain average transfer times, which facilitates a smarter and more efficient public transit network.     

基于SCADE需求分析和用例设计在新型列控系统RMU子系统的应用

针对新型列控系统(C4D-I)的地面核心设备(Resource Manage Unit,RMU)是没有明确技术规范的创新产品,提出基于SCADE需求分析和用例设计方法,该方法以SCADE architect模块为依托,对需求和用例进行建模.该方法避免传统人工进行需求分析带来的需求不完整、模糊和缺失等问题;同时为用例设计...     

大型零件包装箱专用CAD/CAE系统的开发

在UG本身强大的CAD/CAE功能的基础上,利用UGAPI二次开发接口,针对某厂各种运输大型零件用包装箱(包括框架木箱、铁木箱、简易木箱、简易铁箱、铁箱)的设计、应力分析难题,开发了一个包装箱专用CAD/CAE系统,实现了包装箱设计、应力分析、工艺资料生成的自动化,开发的图文档管理软件能够对包装箱的相关图纸及文档进行有效管理。     

基于案例推理的装备战损评估专家系统

根据装备战损的特点,对战损案例的组成进行分析,通过战损案例的建立和战损案例的检索使用,运用系统集成提出了一种基于案例推理的装备战损评估专家系统。     

基于相似案例推理的应急物资需求预测方法研究*

为保证突发事件应急救援的高效顺利开展,应急物资需求预测的准确性是应急救援工作的关键环节之一。针对传统应急物资需求预测方法的不足,本文通过考虑特征因素值的不精确性和各特征因素受时间变化的影响,引入了区间数的概念来描述案例的不精确属性和相应的计算方法,运用时间影响因子对特征因素影响权重系数进行调整,获得特征因素的影响权重系数,提出了目标案例关键特征因素与案例间特征因素需相符和相似的条件下,搜索出最佳相似源案例,以解决灾区应急物资需求问题的案例推理方法。最后,以实例分析了该方法的可行性和合理性。可很好地解决信息不完备条件下应急物资需求的预测,为应急决策者提供一定的理论参考依据。     

别克Excelle前灯光照明系统故障检修方案

本文介绍了别克Excelle车系前灯光照明系统的组成结构和工作原理,重点讲解前灯光电器系统的常见故障现象及其检修方案。同时,通过Excelle前照明电器系统的常见故障案例运用本文所设计的检修方案完成故障的排除与检修。     

主题导引下压路机造型设计方法研究

探讨了一种适合压路机的造型方法，通过实例及发展趋势分析得出设计主题，应用感性工学原理及实例推导将产品概念具象化，构建了压路机的造型库。此方法可以方便、快速、高效地对产品的造型进行设计．缩短了产品设计周期，为产品迅速占领市场提供了基础。