混凝土箱梁温度作用的参数分析

根据非稳态导热偏微分方程,施加合适的边界条件,用有限元法进行了混凝土箱梁温度场的参数分析,并确定了影响混凝土箱梁温度场的主要因素。研究表明,混凝土箱梁的截面尺寸、所用混凝土的热物理性质以及气温对混凝土箱梁的竖向最大温度的影响均不大,对混凝土箱梁竖向温度梯度影响最大的是太阳辐射强度。     

基于贝叶斯网络的海上交通系统设备投资风险决策

随着航海科技的发展而相继出现的一些比现有交通系统设备更智能先进的设备可以提高船舶航行的安全性,进而提高船舶乃至船舶公司和航运公司的收益,但是投资这些智能先进设备会导致整个系统的成本增加.因此,为降低决策风险,基于贝叶斯网络方法,通过分析海上交通设备所影响的相关因素及其对海上船舶事故的影响,建立海上事故的贝叶斯网络;通过调研和专家问卷获取相关数据,并对其进行处理得到相关的先验概率和条件概率;将这些数据输入到贝叶斯网络得到后验概率,通过计算得到使用现有设备和智能设备的期望收益,进而做出风险决策.     

相互闭锁反向过流继电器在地铁交流供电系统中的应用

分析了地铁链接供电的特点.指出了当链接站点过多时,后备过流保护按照阶梯式原则整定的时限存在超出主变电所允许的最大时限的问题;提出了相互闭锁反向过流继电器新原理.应用此继电器,结合常规的光纤纵差和过流保护,从而构成一个完备的保护方案.不仅能链接任意多的站点,而不超出主变电所允许的最大时限,而且能简化系统接线方式,简化系统操作,有利于安全运行,且不增加额外投资.     

A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice

The modeling of travel decision making has been a popular topic in transportation planning. Previous studies focused on random-utility discrete choice models and machine learning methods. This paper proposes a new modeling approach that utilizes a mixed Bayesian network (BN) for travel decision inference. The authors use a predetermined BN structure and calculate priori and posterior probability distributions of the decision alternatives based on the observed explanatory variables. As a “utility-free” decision inference method, the BN model releases the linear structure in the utility function but assumes the traffic level of service variables follow multivariate Gaussian distribution conditional on the choice variable. A real-world case study is conducted by using the regional travel survey data for a two-dimensional decision modeling of both departure time choice and travel mode choice. The results indicate that a two-dimensional mixed BN provides better accuracy than decision tree models and nested logit models. In addition, one can derive continuous elasticity with respect to each continuous explanatory variable for sensitivity analysis. This new approach addresses a research gap in probabilistic travel decision making modeling as well as two-dimensional travel decision modeling.     

隧道照明节能控制系统研究

综合考虑交通量、环境亮度、行车速度、地理环境等因素,基于隧道照明设计与控制的"全局优化"理念,采用"多模式、多等级、智能化、个性化"的控制策略,开发了能够根据公路隧道内外亮度、照度、车流量、车流特点等环境变换因素,自动进行反馈调整隧道内部照明的智能照明控制系统。估算比对同一隧道在使用节能智能控制系统前后年总能耗可知,与原有控制方案相比,节能智能控制系统综合节电30%。     

上海轨道交通济阳路枢纽站结构设计概述

济阳路站是上海轨道交通6、8、11号线的换乘枢纽站。它由三线车站、联络线及围合区等多部分组成,结构复杂,工程量大。介绍了车站结构设计的特点,并对下沉式广场与车站的结合、完全敞开式出入口、盾构远期穿越已建结构等关键节点做了概述,以期为其它类似工程提供借鉴。     

船用柴油机12PA6B超负荷性能试验研究

我国船用柴油机功率标准规定柴油机应能够在超负荷功率(即110%标定功率)下连续运转。超负荷工况各参数变化可以反映柴油机的整体性能,是船用柴油机负荷试验的重要工况点。本文通过陕柴重工生产的12PA6B柴油机的负荷试验,研究证实该机型在超负荷工况下能保持较低的燃油消耗率和烟度排放,以及较高的功率和扭矩输出。     

千寻位置在江乌航道测量中的应用

航道测量范围大、距离长并且跨省区,但CORS系统测量不能跨省区。针对这一问题,论述了RTK测量、CORS系统测量和千寻位置的定位导航技术。千寻知寸测量方法具有厘米级定位精度,覆盖范围全、无缝衔接、整体精度高,能满足大范围、长距离和跨省区航道测量要求,为类似工程测量提供了一种新方法。     

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.     

Collision avoidance path planning in multi-ship encounter situations

Journal of Marine Science and Technology - Collision avoidance path planning is still one of the essential problems in the design and application of an intelligent maritime navigation system. Its...