方中空夹层钢管混凝土压弯构件滞回性能的有限元分析

研究方中空夹层钢管混凝土压弯构件的滞回性能是进行该类结构弹塑性动力反应分析的基础。本文利用有限元软件ABAQUS建模,模型中合理地考虑了往复荷载作用下混凝土的损伤以及刚度和强度退化,同时考虑了钢材的包兴格效应,对往复荷载下方中空夹层钢管混凝土压弯构件的荷载—位移全过程进行了计算,计算结果与试验结果符合较好。在此基础上,结合钢管和混凝土的纵向应力分布云图对构件的荷载—位移全过程进行了分析,这对深入研究该类构件的工作机理有重要意义。     

牵引变电所换相连接方式研究

针对石家庄西变电所施工改造中,2008年3月发生的变电所母线和变压器换相连接问题,利用理论和测试的方法进行了分析,找出了原因。同时结合运行和施工中其他2例换相故障,提出了几项切实可行的措施。     

基于双参数雨流法的地铁车辆转向架构架寿命评估

采用双参数雨流法对在线实测的地铁车辆转向架构架载荷时间历程进行计数统计,分离出完整的应力循环和半循环,表征了构架服役过程的随机载荷谱块。根据名义应力法理论及miner疲劳损伤累积理论,估算出了地铁车辆转向架构架的疲劳寿命。分析结果表明,测点处的寿命为13.4年左右。     

基于跨层设计的Macro-Femto异构网络吞吐量最大化

提出一种跨层设计机制,目的是最大化网络下行链路吞吐量,同时保证业务公平性。网络架构为多小区、多用户、多业务的Macro-Femto异构网络架构。物理层传输技术为多输入多输出正交频分复用技术。所建立的最优化问题在多项式时间内是不可解的。结合工程实际,提出一种易于实现的次优算法。此外,针对异质业务环境,提出一种公平性观点,并改进传统的Jain’s公平指数。修正的公平指数能够有效地评估未来多业务无线网络各种机制的公平性。系统级仿真结果表明:在异构网络中,本文提出机制的吞吐量性能和公平性能均优于简单跨层设计SCLD(Simple Cross-Layer Design)机制。本文提出的机制和SCLD机制的业务公平性能均优于比例公平机制的公平性能。比例公平机制仅考虑速率公平,没有考虑业务公平。     

激光堆焊工艺在修造领域的应用现状及发展趋势

本文详细阐述了激光堆焊工艺在工业修造领域的应用现状及发展趋势,介绍了激光束的能源、输送和聚焦系统、堆焊材料及激光设备。重点说明了其在修造领域的应用工艺。     

高强钢焊接工艺研究及分析

通过对Q550D低合金高强度结构钢的焊接影响因素进行分析,制定合理的焊接工艺,应用该焊接工艺保证低合金高强度结构钢的焊接效果。     

关于铁路光传输工程色度色散指标的研究

针对铁路光传输系统,阐述了光纤色散指标对传输系统技术性能的影响,建议修改现行光缆线路工程验收标准的有关规定,增加光纤色度色散指标验收测试项目,有效保证高速铁路传输系统的质量要求。     

A simple formulation for predicting the ultimate strength of ships

The aim of this study is to derive a simple analytical formula for predicting the ultimate collapse strength of a single- and double-hull ship under a vertical bending moment, and also to characterize the accuracy and applicability for earlier approximate formulations. It is known that a ship hull will reach the overall collapse state if both collapse of the compression flange and yielding of the tension flange occur. Side shells in the vicinity of the compression and the tension flanges will often fail also, but the material around the final neutral axis will remain in the elastic state. Based on this observation, a credible distribution of longitudinal stresses around the hull section at the overall collapse state is assumed, and an explicit analytical equation for calculating the hull ultimate strength is obtained. A comparison between the derived formula and existing expressions is made for largescale box girder models, a one-third-scale frigate hull model, and full-scale ship hulls.List of symbols A _B total sectional area of outer bottom - A _B total sectional area of inner bottom - A _D total sectional area of deck - A _S half-sectional area of all sides (including longitudinal bulkheads and inner sides) - a _s sectional area of a longitudinal stiffener with effective plating - b breadth of plate between longitudinal stiffeners - D hull depth - D _B height of double bottom - E Young's modulus - g neutral axis position above the base line in the sagging condition or below the deck in the hogging condition - H depth of hull section in linear elastic state - I _s moment of inertia of a longitudinal stiffener with effective plating - l length of a longitudinal stiffener between transverse beams - M _E elastic bending moment - M _p fully plastic bending moment of hull section - M _u ultimate bending moment capacity of hull section - M _uh ,M _us ultimate bending moment in hogging or sagging conditions - r radius of gyration of a longitudinal stiffener with effective plating [=(I _s /a _s )^1/2] - t plate thickness - Z elastic section modulus at the compression flange - Z _B ,Z _D elastic section modulus at bottom or deck - slenderness ratio of plate between stiffeners [= (b/t)(_y/E)^1/2] - slenderness ratio of a longitudinal stiffener with effective plating [=(l/r)(_y/E)^1/2] - _y yield strength of the material - _yB , _yB , _yD yield strength of outer bottom, inner bottom - _yS deck, or side - _u ultimate buckling strength of the compression flange - _uB , _uB , _uD ultimate buckling strength of outer bottom - _uS inner bottom, deck, or side     

Uncertain demand,modal competition and optimal price-capacity adjustments in air transportation

A new microeconomic model for the operation of an airline facing modal competition with uncertain total demand is developed to analyze optimal price capacity combinations. The novelty is the treatment of the capacity restriction, which is not viewed as affecting negatively individual preferences (e.g. probability of a full flight), but does influence aggregate utility. A mode choice model is used to represent unrestricted individual preferences assuming full availability (phone call demand); air capacity is treated as a variable that acts on the actual choice set. Restricted choices and total demand stochasticity are integrated in welfare calculations (users' benefits and profits). Numerical examples are given and results are analyzed in terms of load factors fare levels, and sensitivity to the stochasticity of requests.This research was partially funded by FONDECYT, Chile, Direction Génerale de l'Aviation Civile, France, the Andes Foundation and the Fulbright Commission.     

Performance indicators for transit management

Transit performance can be evaluated through quantitative indicators. As the provision of efficient and effective transit service are appropriate goals to be encouraged by federal and state governments, these goals are used to develop performance indicators.Three efficiency and four effectiveness indicators are described, together with two overall indicators. These nine indicators are analyzed for comparability utilizing operating and financial data collected from public transit agencies in California.Performance indicators selected for this study should not be viewed as final. Twenty-one performance indicators proposed by previous studies were reviewed. Theoretical considerations and unavailability or unreliability of data caused omission of several useful measures like passenger-miles. Circumstances such as improved data, emphasis upon goals other than efficiency and effectiveness, and local conditions might warrant the inclusion of indicators deleted from this research.This paper is based on work conducted for the Urban Mass Transportation Administration under University Research and Training Grant CA-11-0014, Development of Performance Indicators for Transit. The views expressed herein are those of the authors and not necessarily those of the University of California or the United States Government. We are indebted to John Feren for assistance with the statistical processing and data gathering.