大型孤岛式石化码头设计

中海壳牌南海石化项目马鞭洲港区码头是典型的孤岛式码头,没有陆路通道与陆地相连.码头为桩基墩式结构、蝶形布置的开敞式码头,用于石化厂的原料接卸.该码头设计需要解决平面布局、码头供电、供水、交通、消防、通信、海底管线登陆等一系列问题,该码头成功的设计、建造度营运经验,可为类似工程提供参考.     

SiO_2对自蔓延高温合成Al_2O_3-TiB_2复相陶瓷性能的影响

利用自蔓延高温合成技术,用SiO2作添加剂制备出了Al2O3-TiB2复相陶瓷.研究了SiO2含量对自蔓延反应的绝热温度、燃烧速度、反应产物的体积和致密度的影响,并测定了复相陶瓷的抗弯强度和硬度.研究结果表明,Al-TiO2-H3BO3体系的绝热温度是2 588 K,且随SiO2含量的增加而降低;添加SiO2的合成产物中有SiO2和Al6O13Si2相生成;SiO2的加入还降低了反应体系的燃烧速度;当SiO2的添加量在0~20%变化时,复相陶瓷的密度达到1.603 g/cm3,相应的坯体体积变化率为9.25%~9.82%;复相陶瓷的硬度也随着SiO2添加量的增加而增大;在Al-TiO2-H3BO3体系中添加20%的SiO2,可使Al2O3-TiB2的抗弯强度提高2倍.     

370t凹底车振动平稳性分析

370 t凹底车是目前载重量最大的凹底车,考虑到结构振动对车辆平稳性的影响,把凹底架、大底架和小底架做成柔性体,建立刚柔混合模型进行仿真分析.对比美国5级谱和铁科院实测谱,并通过傅氏逆变换转换为时域信号,用模态综合法进行仿真分析并与试验数据进行了对比,发现美国5级谱的垂向不平顺比我国实际线路情况要恶劣,短波轨道不平顺对该车的结构振动有较大的影响.     

深水铺管船技术研究

海底管道在海洋石油天然气的运输方面起到越来越重要的作用,但随着铺管海域水深的增加,对海底管道的铺设方法和主要铺设工具——铺管船也提出了更高的要求.文章介绍了目前普遍使用的几种深水铺管船的船型特点及铺管方法,并以ABS规范为基准,详细说明了深水铺管船入级在总体、结构、舾装等方面应达到的各项要求.     

港口起重机金属结构安全性评价研究

提出港口起重机金属结构安全性评价过程和指标体系的构建原则以及正常指标和故障指标两类评价指标;针对不同指标的特点,采用不同的无量纲化处理方法,使结果符合评价要求;采用多层次评价构权方法和混合合成法,使构权和评价值更符合实际情况.     

沿程磁处理管道输油实验研究

南海原油密度大、含蜡量高,对南海原油采用沿程磁处理,可降低聚集度,从而达到降黏输送的作用.为进一步研究磁处理对油品有降黏效果,使用仿真软件模拟磁铁摆放得到磁感应强度分布,再通过搭建沿程磁处理输油实验管道,以南海原油为介质进行实验研究.将有无磁处理的压力数据进行对比,并结合使用流变仪测定的油品黏度变化,综合分析得出使用2...     

在线监测系统在工业水管网中的应用

该文针对上海石化地区工业水管网的运行情况,研究了在线监测方法,建立了管网在线监测系统,并对系统运行效果进行了分析评价。研究表明,该系统反馈及时、信息准确、运行经济,可实现远端无人值守,提高水厂的运行质量。     

Origin–destination synthesis for aviation network data: examining hub operations in the domestic and international US markets

Hub‐and‐spoke networking is a key feature of current aviation markets in which hubs, as connecting points, function to consolidate and redistribute flows. This indicates that observation of traffic on a segment does not necessarily convey information about the origin to destination routing of passenger journeys because of the unavoidable detours in the system. This paper examines the heterogeneity of the flow composition in domestic and international US markets, which in turn allows us to observe the variation of operations across major hubs. A modified Route Flow Estimator for origin–destination synthesis (or origin–destination matrix estimation) is designed to decompose the segment traffic into itinerary‐based passenger trips. Several public and commercial databases, which are easily accessible, are exploited (and reconciled) for the model in order to (i) generate possible trip itineraries using those segment markets, and (ii) link data‐driven operational conditions with the underlying segment flows. The results are validated with US domestic trip observations and empirical knowledge related to the air transportation system. Then, the variability of the hub operations is examined based on sensitivity tests using the model parameters. From the resolution of itinerary‐based estimates, we observe that major airports' hub operations are spatially uneven, particularly with respect to domestic and international connecting passengers. Copyright © 2017 John Wiley & Sons, Ltd.     

Forecasting travel behavior using Markov Chains-based approaches

Recent advances in agent-based micro-simulation modeling have further highlighted the importance of a thorough full synthetic population procedure for guaranteeing the correct characterization of real-world populations and underlying travel demands. In this regard, we propose an integrated approach including Markov Chain Monte Carlo (MCMC) simulation and profiling-based methods to capture the behavioral complexity and the great heterogeneity of agents of the true population through representative micro-samples. The population synthesis method is capable of building the joint distribution of a given population with its corresponding marginal distributions using either full or partial conditional probabilities or both of them simultaneously. In particular, the estimation of socio-demographic or transport-related variables and the characterization of daily activity-travel patterns are included within the framework. The fully probabilistic structure based on Markov Chains characterizing this framework makes it innovative compared to standard activity-based models. Moreover, data stemming from the 2010 Belgian Household Daily Travel Survey (BELDAM) are used to calibrate the modeling framework. We illustrate that this framework effectively captures the behavioral heterogeneity of travelers. Furthermore, we demonstrate that the proposed framework is adequately adapted to meeting the demand for large-scale micro-simulation scenarios of transportation and urban systems.     

某地铁车站深基坑开挖对临近管线的影响分析

半铺盖体系法进行地铁车站施工首次在西安地区应用,为了研究半铺盖体系基坑开挖对临近管线的影响,以西安地铁4号线某车站基坑为工程背景,对迁改后的管线沉降进行现场监测分析。得出管线沉降随时间的变化规律,在基坑开挖及底板施工阶段,管线沉降速率较大,施工需以信息化施工为主。借助ANSYS软件建立有限元模型,并依据实际工况设置模型监测点,对比分析现场监测结果和数值模拟结果,得出管线的沉降规律。同时,对基坑不同的分步开挖深度进行模拟,得出管线沉降受分步开挖深度影响较大,基坑开挖及底板施工阶段需引以重视。