重庆与纽约两种轨道交通互联互通CBTC系统安全评估的对比研究

针对由城市轨道交通互联互通CBTC(基于通信的列车控制)系统推广带来的风险,安全评估作为重要的监督环节显得尤为重要.在对重庆与纽约2个典型城市的互联互通CBTC系统架构分析的基础上,从安全评估标准、风险评估方法、安全认证过程及活动等3个方面对二者的安全评估进行详细对比.结合二者自身互联互通CBTC系统的特点和应用场景,制定了相适应的安全评估规则,并通过不同方法和途径实现了系统既定的安全目标.     

冰区核电平台系泊设计及影响研究

本文根据冰区浮式核电平台的主要功能及外部环境条件,确定平台的基本形式,并在此基础上进行了系泊系统的优化设计.与以往研究不同的是,考虑到冰区海洋的特殊性,除计算风、浪、流作用情况外,还运用Sdem软件构造了海冰离散单元模型,对海冰与海洋系泊结构物的相互作用过程进行了数值模拟.在此基础上,结合系泊分析软件ANSYS-AQWA的二次开发功能,对平台运动及其系泊系统进行了时域耦合分析,研究了平台在不同环境载荷作用下的运动响应;进行了系泊参数研究,分析一般规律,最终提出了一种满足规范要求且性能优良的系泊方案.研究结果表明:本文提出的冰区核电平台系泊系统可抵抗恶劣的环境影响;通过合理选择系泊缆数量、夹角、预张力大小及顶端倾角等系泊参数,可减小平台运动响应.     

Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.     

基于改进BP-GA方法的FPSO舷侧结构耐撞性能优化设计

基于遗传算法和ABAQUS参数化有限元仿真技术,对传统的BP-GA优化方法进行改进,并采用改进的BP-GA方法对浮式生产储油卸油装置(FPSO)舷侧结构的耐撞性能进行优化,以验证其可行性和准确性。结果表明,与传统的BP神经网络相比,经遗传算法优化的BP神经网络具有更高的预测精度和更强的泛化能力;改进的BP-GA优化方法可在结构减重的基础上进一步提高结构的耐撞性能,能较好地适用于复杂的FPSO舷侧结构耐撞性优化设计。采用的优化方法具有通用性,可为抗爆性能的优化设计提供参考。     

自动化集装箱码头综合管沟结构设计

综合管沟是近10 a来我国城市地下管线铺设的新型设计思路，在港口工程中的应用较为少见。港口工程具有独特的平面布置，场区内管线类型、地基条件、荷载、地面设施、交互节点等均与其他管沟大不相同，结构设计条件非常复杂。针对上述问题，在广州港南沙四期工程综合管沟结构设计中，结合自动化集装箱码头的特点，对荷载条件、沉降要求等方面进行了研究，提出了多功能盖板段、渐变式复合地基等方面的优化设计思路，完成了适用于自动化集装箱码头的综合管沟结构设计，有效解决了管线综合的问题。本文所阐述的结构设计经验对后续的自动化集装箱码头综合管沟结构设计具有一定的参考意义。     

CT reconstruction with priori MRI images through multi-group datasets expansion

Computed tomography (CT) reconstruction with a well-registered priori magnetic resonance imaging (MRI) image can improve reconstruction results with low-dose CT, because well-registered CT and MRI images have similar structures. However, in clinical settings, the CT image of patients does not always match the priori MRI image because of breathing and movement of patients during CT scanning. To improve the image quality in this case, multi-group datasets expansion is proposed in this paper. In our method, multi-group CT-MRI datasets are formed by expanding CT-MRI datasets. These expanded datasets can also be used by most existing CT-MRI algorithms and improve the reconstructed image quality when the CT image of a patient is not registered with the priori MRI image. In the experiments, we evaluate the performance of the algorithm by using multi-group CT-MRI datasets in several unregistered situations. Experiments show that when the CT and priori MRI images are not registered, the reconstruction results of using multi-group dataset expansion are better than those obtained without using the expansion.     

Reliability Modeling and Maintenance Policy Optimization for Deteriorating System Under Random Shock

Performance degradation and random shock are commonly regarded as two dependent competing risks for system failures. One method based on effective service age is proposed to jointly model the cumulative effect of random shock and system degradation, and the reliability model of degradation system under Nonhomogeneous Poisson processes (NHPP) shocks is derived. Under the assumption that preventive maintenance (PM) is imperfective and the corrective maintenance (CM) is minimal repair, one maintenance policy which combines PM and CM is presented. Moreover, the two decision variables, PM interval and the number of PMs before replacement, are determined by a multi-objective maintenance optimization method which simultaneously maximizes the system availability and minimizes the system long-run expect cost rate. Finally, the performance of the proposed maintenance optimization policy is demonstrated via a numerical example.     

Novel experimental strategy for high resolution AFM imaging of membrane-associated bacterial toxins

Bacterial pore-forming toxins （PFTs） are essential virulence factors of many human pathogens. Knowl- edge of their structure within the membrane is critical for an understanding of their function in pathogenesis and for the development of useful therapy. Atomic force microscopy （AFM） has often been employed to structurally interrogate many membrane proteins, including PFTs, owing to its ability to produce sub-nanometer resolution images of samples under aqueous solution. However, an absolute prerequisite for AFM studies is that the samples are single-layered and closely-packed, which is frequently challenging with PFTs. Here, using the prototypical member of the cholesterol-dependent cytolysin family of PFTs, perfringolysin O （PFO）, as a test sample, we have developed a simple, highly robust method that routinely produces clean, closely-packed samples across the entire specimen surface. In this approach, we first use a small Teflon well to prepare the supported lipid bilayer, remove the sample from the well, and then directly apply the proteins to the bilayer. For reasons that are not clear, bilayer preparation in the Teflon well is essential. We anticipate that this simple method will prove widely useful for the preparation of similar samples, and thereby enable AFM imaging of the greatest range of bacterial PFTs to the highest possible resolution.     

小直径盾构施工中管片纵向应力监测研究

为了探索小直径盾构法隧道在施工过程中管片纵向应力的变化规律,对北京槐房再生水厂污水隧道管片纵向应力进行了现场监测:将第976环、第1 054环管片分别设为第1和第2监测断面,2监测断面各预埋5个纵向应力计,各监测断面从本监测断面管片安装后即开始监测,当盾构掘进至第1 129环时停止监测。研究表明:1)在管片离开盾尾50环后,其纵向应力波动值小于管片拼装期间应力值的5%。2)在盾构掘进期间,管片距离盾构越远,其纵向压应力值越小。3)在管片拼装期间,管片距离盾构越远,其纵向压应力经历了先增大后减小的过程。4)管片距离盾构108环后,该管片纵向压应力趋近于0.2~0.3 MPa。5)随着盾构推进,管片纵向应力经历了4个阶段的变化过程,即周期性剧烈波动阶段—动态稳定阶段—逐渐衰减阶段—趋于稳定阶段。     

乙醇汽油对车辆颗粒物排放的影响

在符合国Ⅰ、国Ⅲ、国Ⅴ标准的3辆试验车上,分别燃用国Ⅴ汽油、低芳烃E10、低烯烃E10 3种燃料,进行了NEDC和WLTC工况下的常温冷起动排放试验,重点对颗粒物(PM)排放量和粒子数量(PN)进行分析。结果表明:在两种工况下,燃用乙醇汽油相比普通汽油能大幅降低车辆的PM排放,低芳烃E10对国Ⅰ和国Ⅲ车辆PM降低效果最明显,分别下降19%和35%,低烯烃E10对国Ⅴ车辆PM降低效果最好,下降46%;在WLTC工况下燃用乙醇汽油能大幅降低车辆PN排放,其中低芳烃E10平均降低43%,低烯烃E10平均降低32%。