钢管-钢管混凝土复合拱桥实桥静载测试与分析

进行了第一座钢管 - 钢管混凝土复合拱试验桥--福建福鼎山前大桥实桥静载测试和有限元模拟分析,对钢管-钢管混凝土复合拱静力性能进行了讨论,研究表明,复合拱的静力性能与等截面拱相近,但拱肋变截面处应变应是设计中的控制因素,极限承载力分析应考虑双重非线性的影响.     

斜拉索对钢管混凝土桁式组合拱桥力学性能的影响

位于湖南省永连公路上的天子山大桥是目前世界上第一座钢管混凝土桁式组合拱桥,其设计上的一个创新是用斜拉索代替了原来的刚性斜杆.制作了天子山大桥1∶20的铝合金模型,用模态分析的方法对钢管混凝土桁式组合拱桥的动力特性进行了研究,探讨了斜拉索对钢管混凝土桁式组合拱桥力学性能的影响.     

预应力混凝土先简支后连续梁静、动力试验研究

简要介绍预应力混凝土先简支后连续梁1∶5模型设计、试验方法。根据弹性试验、开裂试验和破坏试验结果,研究分析该类结构的工艺特点、正常使用荷载作用下结构受力变形特征、结构特别是湿接缝截面的抗裂性、开裂区域裂缝发展分布规律以及结构极限承载力。在对模型梁体系转换前、后和先简支后连续梁破坏前、后动力测试与理论分析的基础上,校核模型梁的刚度、制作精度,最后初步探讨了先简支后连续梁的动力性能。     

静态爆破工艺在旧桥改造中的应用

阐述了静态爆破施工的作用机理和施工工艺,通过与常规爆破工艺相比较,论证了该工艺具有的造价低、无振动、无噪声、无粉尘、无飞石、无毒气污染等特点和其广泛的推广应用价值.     

振荡压实对桥梁结构物的影响研究

振荡压实是利用在材料厂中产生的快速交变剪应力使材料的颗粒重新排列而变得更加密实。通过振荡压实与振动压实对桥梁结构的振动的对比试验，分析了这2种作业方式对桥梁结构物的影响．论证了振荡压路机在桥梁压实中的优越性。     

大直径钢管桩承载力恢复过程试验研究

针对目前预制桩承载力恢复特性研究与工程应用中的不足,依托西非某海工工程,提出高应变法。采用对同一钢管桩进行初打与不同休止时间复打相结合的试验方法,研究了大直径钢管桩沉桩后的承载力恢复过程。结合地质情况、沉桩与试验结果,得到了钢管桩承载力、侧阻力及端阻力随时间变化的一般规律及影响因素,并通过静载试验对研究结果进行了验证。该研究在提高项目施工效率、降低成本的同时,还得到了有意义的规律与结论,可为后续类似项目提供参考。     

西南红层软岩地区铁路滑坡形成机理分析及治理措施

红层软岩地区铁路工程建设中滑坡问题突出。本文结合西南地区一铁路红层滑坡治理工程,利用该地区红层滑坡的现场调查结果,从红层软岩特性、地层岩性、地质地貌、水文地质条件、深孔位移监测数据等多方面对该地区铁路滑坡形成机理进行分析,并论述红层滑坡与一般滑坡的不同点,分析红层软岩岩体力学特性、地层主要成分以及红层软岩中的粉砂质泥岩在不同风化程度下的力学特性。根据分析结果提出治理措施,并对治理措施进行评价。总结得出地层岩性、地质水文、人为因素是导致红层滑坡病害发生的主要因素。     

Changes in fuel economy: An analysis of the Spanish car market

This paper estimates the role that technological change and car characteristics have played in the rate of fuel consumption of vehicles over time. Using data from the Spanish car market from 1988 to 2013, we estimate a reduced form equation that relates fuel consumption with a set of car characteristics. The results for the sales-weighted sample of vehicles show that energy efficiency would have improved by 30% and 42% for petrol and diesel cars respectively had car characteristics been held constant at 1988 values. However, the shift to bigger and more fuel-consuming cars reduced the gains from technological progress. Additionally, using the results of the fuel equation we show that, besides a natural growth rate of 1.1%, technological progress is affected by both the international price of oil and the adoption of mandatory emission standards. Moreover, according to our estimations, a 1% growth in GDP would modify car characteristics in such a way that fuel consumption would increase by around 0.23% for petrol cars and 0.35% for diesel cars.     

Driving cycle prediction model based on bus route features

Bus fuel economy is deeply influenced by the driving cycles, which vary for different route conditions. Buses optimized for a standard driving cycle are not necessarily suitable for actual driving conditions, and, therefore, it is critical to predict the driving cycles based on the route conditions. To conveniently predict representative driving cycles of special bus routes, this paper proposed a prediction model based on bus route features, which supports bus optimization. The relations between 27 inter-station characteristics and bus fuel economy were analyzed. According to the analysis, five inter-station route characteristics were abstracted to represent the bus route features, and four inter-station driving characteristics were abstracted to represent the driving cycle features between bus stations. Inter-station driving characteristic equations were established based on the multiple linear regression, reflecting the linear relationships between the five inter-station route characteristics and the four inter-station driving characteristics. Using kinematic segment classification, a basic driving cycle database was established, including 4704 different transmission matrices. Based on the inter-station driving characteristic equations and the basic driving cycle database, the driving cycle prediction model was developed, generating drive cycles by the iterative Markov chain for the assigned bus lines. The model was finally validated by more than 2 years of acquired data. The experimental results show that the predicted driving cycle is consistent with the historical average velocity profile, and the prediction similarity is 78.69%. The proposed model can be an effective way for the driving cycle prediction of bus routes.     

25t轴重荷载作用下隧底脱空区域受力特性分析

为了研究在役铁路隧道在通车之后隧底脱空病害的问题,采用有限元理论,建立隧道脱空区域在围岩压力与25 t轴重列车动载作用下的数值计算模型,主要研究80 cm与40 cm脱空宽度分别距隧道中心线0,80 cm与160 cm时脱空区域的受力特性。结果表明:在围岩压力下,脱空区域中线上壁和外侧顶角混凝土中产生拉应力及内侧顶角中产生压应力,其中压应力对脱空的宽度更为敏感;同时施加列车动载作用时,脱空区域上壁出现了竖向动应力与横向拉应力,得到了脱空区域力学指标的最大响应值及其出现的具体位置,宽度的增加对脱空区上壁横向拉应力更为显著,上壁横向拉应力增幅超过200%,竖向动应力增幅达50%。因此,隧底脱空区周围应力分布复杂,拉应力与压应力在脱空区域同时存在,应力突变严重,对脱空现象应及时组织处理。