薄壁箱梁剪滞剪切效应自振特性分析

在推导考虑剪力滞、剪切变形双重效应的单元刚度矩阵与等效结点荷载矩阵的基础上[1],进一步推导出考虑双重效应的单元质量矩阵,从而形成完整的薄壁箱梁考虑双重效应的矩阵分析体系,可方便地纳入矩阵位移法程序系统,为常见的薄壁连续梁等复杂结构的剪力滞效应分析提供一种计算手段。利用自编程序ZLBOX对薄壁箱型简支梁和悬臂梁考虑剪力滞、剪切变形双重效应时的自振特性进行了分析,所得结果与ANSYS实体单元计算结果符合良好。计算结果表明,剪力滞、剪切变形双重效应使薄壁箱梁的自振频率降低,剪力滞效应占双重效应的85%以上,双重效应对高阶频率的影响比低阶频率的影响大。     

基于径向基函数响应面方法的大跨度斜拉桥有限元模型修正

采用ANSYS有限元软件建立某大跨度斜拉桥试验室物理模型的三维有限元模型.基于灵敏度分析,选取模型待修正参数和用于模型修正的特征量.采用实验设计方法生成数样本,通过有限元分析提取对应的特征量信息,进而建立待修正参数与特征量关系的径向基函数响应面模型.通过对响应面模型的拟合误差分析,确定径向基函数的最优形状参数.以斜拉桥自振频率和静态索力构建目标函数.基于建立的响应面模型,采用遗传优化算法进行有限元模型修正.结果表明,采用径向基函数响应面模型拟合斜拉桥设计参数与特征量之间的隐式关系有较高的精度;基于仿真数据的模型修正有较高的精度,基于试验数据的模型修正能得到合理的结果,该方法可有效地修正复杂桥梁结构有限元模型.     

单边索斜塔钢-混凝土结合梁斜拉桥塔梁根部应力分析

采用板 (壳 )、梁及三维实体单元相结合 ,对长沙市浏阳河洪山庙大桥塔梁根部区域进行空间有限元分析。分析表明 :主梁根部过渡段钢箱梁及混凝土的应力满足规范的限值要求 ,行车道板的剪力滞效应明显 ,徐变对主梁应力的分布影响显著 ;塔根部混凝土在施工过程及运营阶段均处于全截面受压状态 ,与试验结果相比较 ,吻合良好     

体外预应力高强混凝土薄壁箱梁试验研究

进行了体外预应力高强混凝土薄壁箱梁从预应力钢绞线张拉到承载力极限破坏这一全过程的试验研究,研究了体外预应力损失及应力增量、跨中截面应力—应变分布以及跨中挠度和抗裂性能等问题。研究结果表明:体外预应力高强混凝土薄壁箱梁预应力损失实测值与现行规范计算值基本吻合,探讨了其截面受压翼缘有效分布宽度和体外预应力筋应力增量的变化规律,初步揭示了体外预应力高强混凝土薄壁箱梁在混凝土开裂前和受拉非预应力钢筋屈服后混凝土受压翼缘存在不同的剪力滞效应,并提出了相应状态下的受压翼缘有效分布宽度系数。     

三轴汽车前后轮角输入时的响应特性

本文详细推导了三轴汽车线性二自由度模型的运动微分方程，分析了汽车对前后轮角输入时的移居记响应特性。从汽车动力学的角度讨论了前后轮转应具备的比例关系。该方法同样适用于其它多轴汽车的建模分析。     

正交异性钢桥面沥青铺装结构特性的研究

利用直线式加速加载试验系统,对12种沥青铺装方案进行了大型直道足尺试验。研究了正交异性钢桥面板的受力特点和动荷载作用下的响应特性,分析了导致钢桥面沥青铺装层产生疲劳破坏形式的原因,指出了现行钢桥面沥青铺装设计存在的主要问题,并针对目前钢桥面沥青铺装设计提出建议。     

钱江四桥抗震性能分析

根据钱江四桥地震危险性分析得到的地震动参数,基于两水准设防、两阶段设计的抗震设计思想,采用反应谱和时程分析两种方法对该桥的抗震性能进行了比较分析,分析时考虑了桩-土的相互作用及材料、伸缩缝、支座等非线形效应影响。研究结果表明:钱江四桥的抗震性能满足预期的设计性能目标,不会因地震而破坏。     

基于比拟杆法的多室箱梁竖弯段剪力滞效应计算及分析

为了分析梁轴线为竖向曲线的多室箱梁在桥墩处的剪力滞效应,基于比拟杆理论,通过用支座反力等效代替桥墩约束,求得了顶板沿桥轴线的轴力、剪力方程,算出了各加劲肋、腹板处加劲杆的换算面积,然后根据剪切变形协调方程,建立了考虑加劲肋影响的剪力滞微分方程组。将所建方程组的计算结果与采用ANSYS APDL软件建立的板壳有限元模型计算结果进行对比后发现：采用所建方程可避免求解2阶微分方程组的困难,易于使用,且能反映局部竖弯梁段的剪力滞效应变化情况,但计算精度随着叠加并积分的剪力流增加而降低;对于靠近计算起始端截面的加劲杆而言,比拟杆法计算应力与模型计算应力差值在10%左右;竖弯梁顶板最大应力处的剪力滞系数为1.4,大于直梁在该处的剪力滞系数1.2,直梁在该处的轴向应力与竖弯梁相比减小了5.9 MPa,可以认为存在竖弯的箱型梁对剪力滞的影响是不利的。     

Time taken for residents to adopt a new public transport service: examining heterogeneity through duration modelling

When a new public transport service is introduced it would be valuable for public authorities, financing organisations and transport operators to know how long it will take for people to start to use the service and what factors influence this. This paper presents results from research analysing the time taken for residents living close to a new guided bus service to start to use (or adopt) the service. Data was obtained from a sample of residents on whether they used the new service and the number of weeks after the service was introduced before they first used it. Duration modelling has been used to analyse how the likelihood of starting to use the new service changes over time (after the introduction of the service) and to examine what factors influence this. It is found that residents who have not used the new service are increasingly unlikely to use it as time passes. Those residents gaining greater accessibility benefits from the new service are found to be quicker to use the service, although the size of this effect is modest compared to that of other between-resident differences. Allowance for the possibility that there existed a proportion of the sample that would never use the new service was tested using a split population model (SPD) model. The SPD model indicates that 36% of residents will never use the new service and is informative in differentiating factors that influence whether Route 20 is used and when it is used.

Estimating the robustness of questionnaire results: lessons from a mixed-mode survey of expectations for tele-working and road-based business travel

The robustness of questionnaire results to various forms of bias are explored in the context of a dual-mode (web and hardcopy) survey of employers’ anticipations of levels of employee commuting and business travel activity under a range of future ICT scenarios. The questionnaire incorporated several innovative features which, together with the dual-mode format, allowed an unusually wide range of analyses. For example: the robustness of respondents’ opinions was tested by examining the effect of incorporating alternative versions of a briefing text, one being very positive and one very negative, about the role of ICT; instrument bias was identified via detailed comparison of the results from the two versions of the questionnaire; and the impact of exogenous factors which are often ignored or taken as constant was assessed via special supplementary questions. Analysis showed that the robustness of opinions and expectations varied and was influenced by respondent characteristics, and that results from the two versions of the questionnaire differed significantly. It is concluded that opinions and expectations are less robust, and questionnaire results are more subject to bias and myopic interpretation, than is generally recognised and that web-based surveys seem particularly vulnerable to sampling bias. Methods are suggested for measuring robustness, for reducing bias and for validating and contextualising results. The use of contrasting briefing texts is recommended as a means of establishing the robustness of opinions and expectations while supplementary questions are recommended for validating and contextualising SP and SE exercises.