天然气爆炸对盾构隧道的作用机制及工后修复

为了使爆炸灾害后的盾构管片得到合理的修复方案,以某地铁盾构施工过程中挖破天然气管道导致爆炸事故为背景,通过介绍爆炸的基本特性、冲击波的传播特点及火焰波的伴生关系,归纳在天然气爆炸过程中,爆炸火焰和冲击波是决定事故危害程度的2个主要因素,同时这些因素中最危险、破坏力最强、破坏区域最大的是冲击波的破坏效应。通过计算隧道内满布天然气时的TNT当量,以及采用拟静力法模拟管片内部的超压分布并计算得到管片的变形,与第三方检测数据中的管片变形指标进行耦合,证明模拟的准确性,为提出合理的区间修复方案提供依据,同时也为类似工程事故的处理和预案提供经验。     

车载娱乐总成的静态电流分析

本文对车载娱乐总成的静态电流进行测试,找出其在室温、低温、高温下的分布规律,为车载娱乐总成生产厂家提供优化静态电流的思路。     

Using repeated cross-sectional travel surveys to enhance forecasting robustness: Accounting for changing mode preferences

Transportation system capacity and performance, urban form and socio-demographics define the influences and constraints conditioning the preferences of urban residents for different transport modes. Changes in characteristics of urban areas are likely to lead to changes in preferences for alternative modes of transport over time; as a consequence, statistical models to forecast mode choice need to be sensitive to both purposeful changes to urban systems as well as exogenous shocks. We make use of the 1996, 2001 and 2006 household surveys conducted in the Greater Toronto and Hamilton Area to study mode preference evolution and model forecasting performance. These repeated cross-sectional household surveys provide an opportunity to investigate aggregate structural changes in commuting mode preferences over time, in a manner sensitive to changes in the urban area. We focus on commuting mode choices because these trips are prime determinants of peak period congestion and peak spreading. We then address how to combine the three cross-sections econometrically in a robust way that allows for use of a single mode choice model across the entire period. Using independent data from 2012, we are able to compare the individual year and combined models in terms of forecasting performance to demonstrate the combined model’s more robust forecasting performance into the future.     

关于发展我国现代物流业的思考

中国企业急需增强现代物流的意识，积极采用先进的组织方式和管理技术。同时，为改善投资环境，也迫切需要提供高质量的现代物流服务。     

双代号网络计划技术的数字叠加法及其收敛条件的研究

将多种资源 (人工、材料、机械 )的数量同时在神经网络计划技术上实行数字化叠加 ,从而获得多资源叠加的合成分布 ,再利用神经网络计划技术中各个工作的不同时差和资源数量 ,按收敛条件选择最佳开工工作和开工时间 ,满足多种资源在优化模式中按收敛条件进行最优分布 .     

隧道内横向偏置火源火灾烟气温度特性全尺寸试验研究

为了研究隧道内火灾温度分布规律和烟气运动状态，使交通隧道火灾灾害降到最低，通过全尺寸隧道火灾试验研究了热释放速率为30 MW火源位于偏离横向中心位置一个车道宽度条件下的顶棚射流的烟气温度特征，分析了烟气在各阶段的温度分布以及沿横向和纵向扩散的规律。结果表明：在火源下游一定区域内，偏置火源火灾产生的烟气在沿隧道横向和纵向扩散温度分布均呈非对称形态；烟气继续沿纵向扩散一段距离后，逐渐出现和形成温度分层；偏置火源顶棚射流的温升趋势随时间呈二次多项式关系增长，远壁面烟气沉降高度和温度衰减幅值大于相应中心火源的试验值；与中心火源的相似，火源在下游30 m内的顶棚射流温升随纵向距离的增加符合指数衰减规律，但同时还受到偏置距离的影响；可使用量纲一的偏距与量纲一的纵向距离的函数关系式描述其分布规律。     

智能功率模块在武器装备配电系统中的应用

分析了智能功率模块的结构及功能,针对现役武器装备配电系统存在的问题,设计以智能功率模块为基础,嵌入式微处理器为核心的装备新型配电系统,为装备配电系统数字化、自动化提供借鉴。     

整车电源分配设计要点

汽车线路是汽车电器的网络主体,其功能是实现整车电器零部件的电路连接。由于电子产品在汽车上大量应用,汽车线路的电源分配直接影响汽车的安全性能。本文阐述整车电源分配的几种方式及设计要点,以利于更好地对整车电源分配进行设计,提高汽车的使用及安全性能。     

基于D-P准则的深埋隧道破碎化分区规律研究

深部洞室开挖因应力重分布而使围岩出现松动区、塑性区、弹性区,基于D-P准则对深埋隧道围岩破碎化分区提出划分准则,利用ANSYS软件分析不同埋深3个区域发展状况并与规范推荐荷载高度进行对比,揭示埋深对松动区、塑性区半径的影响。研究结果表明,Rp,Rc与埋深H近似呈线性关系,与芬纳公式走向基本一致;当埋深超过某一临界埋深时,松动区迅速发展而呈现指数型增长;松动区分布形态及范围随埋深不同而呈现明显差异。     

Trip Chain's Activity Type Recognition Based on Support Vector Machine

This paper focuses on support vector machine (SVM) based trip chain's activity type recognition. First, the time-series location information of person trip is processed to obtain the trip chain elements including moving processes and activities, and the activity options are extracted from the geographic information system (GIS) around the activity sites. Second, the activity features are drawn from spatio-temporal factors of trip chain to serve as the input feature vector of classifier. A SVM based one-to-one classifier is established and the method of one-to-one classifier voting is adopted to decide the most likely activity type from the activity options. Finally, the classifiers are trained with simulation data based on the Gaussian radial basis (RBF) kernel function and the multilayer perception (MLP) kernel function respectively, and then examined by cross validation. The result shows that in the one-to-one classifying scheme, the highest and lowest right recognition rate with RBF are 99% and 62%, and the corresponding results with MLP are 97% and 54%, respectively.