基于模糊神经网络的既有钢筋混凝土桥梁构件可靠性评估

介绍了模糊神经网络的基本理论知识,根据其知识体系和既有桥梁可靠性的研究特点,结合相关文献的规定和研究成果,引入与所检测的截面裂缝宽度、应变值和应变值相关的评估参数Z,利用既有钢筋混凝土桥梁养护等级标准给出了构件技术状况等级与可靠指标的对应关系,然后根据模糊神经网络的理论优势,对输入变量(实测数据:裂缝宽度,应变值和应变值)进行训练,计算出构件在不同荷载作用下的可靠指标,其可用于既有桥梁结构构件可靠性评估中。并结合一实桥拆除构件的试验结果,得到了一些有益的结论,验证了本方法应用于既有钢筋混凝土桥梁构件可靠性评估的可行性。     

赣江大桥公路桥病害检测与安全评估

首先对赣江大桥公路桥进行病害调查,评定全桥各部位损伤状态。根据评定结果,再对材料退化、结构损伤与受力性能进行实桥测试。应用断裂力学方法,采用观测和超声波探测方法确定初始裂纹尺寸,通过裂纹扩展模拟得出临界杆件的剩余寿命。综合实测数据与理论分析,评估该桥使用安全性和剩余寿命,并建议维护加固措施。     

论孔子人才观的历史定位与普适价值

孔子的人才观虽然产生于春秋时期动荡的社会背景下,却揭示了人才的最本质内涵———＂仁、智、勇＂。三者作为人才内涵的核心三要素,形成一个内在的三角稳定结构,它能够持久地推动包括成才在内的人的生命境界的发展,因而具有超越时代和社会阶层的普适价值。     

变邻域搜索求解公共交通乘务调度问题

公共交通乘务调度问题是一个将车辆工作切分为一组合法班次的过程,它是NP难问题,许多求解方法的效率都与班次评价密不可分,本文通过裁剪TOPSIS方法(Technique for Order Preference by Similarity to an Ideal Solution)设计了TOPSIS班次评价方法.此外,通过裁剪变邻域搜索算法使之适合求解乘务调度问题,提出了基于变邻域搜索的乘务调度方法(Crew Scheduling Approach Based on Variable Neighbourhood Search,VNS),其中,并入了TOPSIS班次评价方法在调度过程中进行班次评价,设计了两种带概率的复合邻域结构以增加搜索的多样性,帮助跳出局部最优,在VNS中利用模拟退火算法进行局部搜索.利用中国公共交通中的11组实例进行了测试,测试结果表明,VNS优于两种新近提出的乘务调度方法,且其结果关于班次数接近于下界.     

绿色公路技术LCA评价体系及效益分析

针对各类绿色公路技术难以横向比较的问题,文章从技术可行性、经济效益、节能减排效益等方面,提出建立绿色公路技术LCA评价体系,并以G312苏州西段工程为例进行综合效益分析,其综合效益最为显著,具备规模化、资源化、投资适宜的绿色公路技术;技术瓶颈问题的突破和创新,是推进绿色公路发展的根本动力;将绿色理念融入公路建设的全生命周期的前提,是因地制宜的前期规划布局研究,也是合理选择适宜绿色公路技术的基础。     

基于模糊综合评价法的城市综合管廊结构健康评价方法研究

为解决城市综合管廊结构健康状况评估结果无法量化和指导运维的问题，通过分析模糊综合评价理论在交通隧道结构健康评价方法研究中的应用，依照类比思想，利用该理论建立城市综合管廊结构健康状况评价体系。首先，依据有关养护规定和调研结果，基于不同需求分别建立管廊结构的本体完好状况和本体结构状况评价指标体系； 其次，以交通隧道和综合管廊养护经验为基础，划分各指标的分级判定标准； 然后，采用层次分析法，计算评价指标的权重分配； 最后，采用柯西分布型隶属函数和矩阵型隶属函数确定各指标的隶属度，建立一级和二级模糊综合评价模型，赋予评价向量中各评语相应分值，将评价向量单值化，判定管廊结构健康状况。采用所提出的评价方法应用于实际工程，所得评价结果与经验评判得到的结果相同。     

高职院校公共《计算机基础》课程实践教学研究

对高职院校公共《计算机基础》实践教学效果及其存在的问题进行剖析,针对这些问题所采取的应对措施进行了探索和研究。提出加强实践教学改革的方案和具体方法,使高职院校的计算机基础教育能更好地与市场接轨。     

Estimation of delay variability at signalized intersections for urban arterial performance evaluation

Urban arterial performance evaluation has been broadly studied, with the major focus on average travel time estimation. However, in view of the stochastic nature of interrupted flow, the ability to capture the characteristics of travel time variability has become a critical step in determining arterial level of service (LOS). This article first presents a stochastic approach that integrates classic cumulative curves and probability theories in order to investigate delay variability at signalized intersections, as a dominant part of the link travel time variability. This serves as a basis for arterial travel time estimation, which can be obtained through a convolution of individual link travel time distributions. The proposed approach is then applied in the estimation of travel time along one arterial in Shanghai, China, with abundant automatic vehicle identification (AVI) data sources. The travel time variability is evaluated thoroughly at 30-min intervals, with promising results achieved in comparison to the field measurements. In addition, the estimated travel time distributions are utilized to illustrate the probability of multiple LOS ranges, namely, reliability LOS. The results provide insights into how we might achieve a more reliable and informative understanding of arterial performance.     

Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.     

基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法研究

针对城市轨道交通PPP融资成本高、投资回收期长、不确定性因素多等特点导致整个融资过程充满风险,且难以进行科学的评价,进而增加风险评价难度的问题,提出基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法。首先从全寿命周期角度构建城市轨道交通PPP融资风险指标体系。然后基于OWA算子对专家决策数据按照降序的方式重新排序,消除极值带来的不利影响,加权得出指标的权重值。最后考虑指标的灰色性、信息不完整性,构建灰色白化权函数实现指标信息的透明化,完成对PPP融资风险的聚类分析。应用构建的模型对郑州地铁1号线一期工程PPP融资风险进行评价,认为该地铁工程PPP融资风险等级高,应重点关注前期策划、社会资本、政策环境、设计质量、成本超支、建设质量、残值7个主要风险指标的控制,以期为该项目融资风险管理提供建议,并进一步丰富城市轨道交通PPP融资风险的评价方法。