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941.
AC+CRCP是连续配筋水泥混凝土路面(CRCP)上加铺沥青混合料面层(AC)的一种复合式路面结构。该路面结构,以刚为主,刚中有柔,大大改善路面的使用性能,无论从经济、技术还是使用性能等方面都优于单一柔性或刚性路面结构。结合张石高速公路主线连续配筋复合式路面施工的实践,简要介绍复合式路面的设计思路和施工工艺,为这种新型的路面在我国高速公路中的推广应用提供一些参考资料。 相似文献
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西江富湾特大桥主桥设计 总被引:1,自引:0,他引:1
富湾特大桥是广明高速公路西樵至更楼段跨越西江的一座特大桥梁,主桥为112 2×200 112m一联的预应力砼连续刚构。简要介绍了该桥的总体布置、结构尺寸、收缩徐变和船撞等主要设计及计算情况,归纳其设计特点。 相似文献
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洛河特大桥抗震性能计算 总被引:12,自引:1,他引:11
为了准确计算洛河特大桥的地震反应,基于大跨径桥梁地震反应分析方法,建立了考虑桩-土相互作用的全桩模型,将波速大于500 m.s-1处的桩截去,并考虑桩-土相互作用的截桩模型与考虑各桥墩处场地土不同所产生的多点激励以及地震波有限波速传播所引起行波效应的大质量模型,采用大型通用有限元程序ANSYS进行桥梁三维地震动态时程分析。结果表明,高墩的位移响应与轴力大;墩越矮,横桥向剪力、顺桥向剪力以及顺桥向弯矩越大;截桩模型与全桩模型的位移响应在横桥向与顺桥向的最大偏差分别为7.4%与8.2%,故截桩模型可用作长桩桥梁时程的简化分析;大质量模型受质量块的大小以及桥墩高差的影响较大,跨径小于160 m以及桥长小于660 m的连续刚构桥对行波效应不敏感,因此,在高墩大跨径连续刚构桥抗震设计时,应考虑桩-土相互作用,并加强高墩的延性设计与矮墩的截面抗力设计。 相似文献
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Erika Spissu Abdul Rawoof Pinjari Ram M. Pendyala Chandra R. Bhat 《Transportation》2009,36(4):403-422
In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles
drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study
explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e.,
self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive
distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components.
The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation
approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling
in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献