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961.
证据合意是现实生活中大量存在的现象,由于立法的空白和理论研究的不足,实践中存在诸多问题.本文探讨了证据合意的概念、法理基础、性质、构成要件以及在司法实践中应如何处理等问题,以期对完善立法、规范司法实践有所裨益.  相似文献   
962.
张林  吴云 《隧道建设》2020,40(9):1285-1291
为解决内蒙古自治区呼和浩特市盖挖逆作地铁车站钢管混凝土柱与后浇钢筋混凝土梁明暗双牛腿节点的设计难题,针对盖挖逆作地铁车站,提出一种新型的明暗双牛腿式钢管混凝土梁节点形式。通过ABAQUS模拟分析和模型试验验证,对不同设计参数条件下结构的抗剪性能进行研究。分析结果表明: 1)环形牛腿肋板与钢管壁之间的有效焊缝长度为影响牛腿结构抗剪承载力的主要参数,通过调节有效焊缝长度,可以明显改善牛腿结构的力学性能; 2)为确保剪力的有效传递,上环板穿心量宜取值为钢管柱直径的8%; 3)在实际工程中,梁柱节点处剪力较大时,可采用明暗双牛腿,其具有较高的承载力,力学性能好,具有较广泛的工程应用前景。  相似文献   
963.
刘本芹  李云  陈琼 《水运工程》2020,(10):22-27
船闸人字门门库布置关系到人字门启闭过程的局部水流结构及水体交换是否通畅,直接影响人字门启闭力及动水阻力矩的大小,对高水头大型船闸尤为重要。通过数学模型分析人字门启闭过程中的局部水流特征,论证门库各项边界条件对动水阻力矩的影响,进而提出高水头大型船闸人字门门库布置技术,给出科学合理的人字门门库体型及特征尺寸,可显著降低人字门启闭初期与末期的动水阻力矩峰值,从而解决高水头大型船闸人字门及启闭设备的设计难题,有利于人字门安全可靠运行。  相似文献   
964.
当前浮式平台船体结构分析的方法与重点综述(英文)   总被引:2,自引:0,他引:2  
浮式平台概念的选择及其结构设计是深水工程项目的关键环节之一.它决定了平台在波浪载荷作用下的动力学响应、立管在深水条件下的运动以及进行平台建造与安装的技术难度等.结构强度、结构的抗疲劳性能以及结构的整体和局部稳定性能是浮式平台设计必须重点考虑的三个主要方面.总结了当前浮式平台设计的主要方法和它的主要任务以及技术要求,着重分析了设计过程中的主要技术难点及重点;最后,讨论了浮式平台结构设计的潜在发展趋势.  相似文献   
965.
通过总结海南省公路水泥混凝土滑模施工配合比试验与实践,探讨水泥砼的最佳配合比,以便确定水泥用量、砂率、级配类型、外加荆用量等指标的合理选用。  相似文献   
966.
结合工程实际,对重载沥青路面的荷载图式进行了分析,并通过与规范荷载图式的比较。建议对重载沥青路面的使用推荐力学图式。  相似文献   
967.
运用网络重构法对舰船区域配电系统进行了分析.在考虑了电网损耗和开关动作次数因素的基础上建立数学模型,并应用改进的遗传算法--单亲遗传算法(PGA)进行求解.着重分析了单亲遗传算法针对舰船区域配电系统的特点产生相应的染色体编码、初始群体、基因移位、基因突变.本文的研究证明了单亲遗传算法可有效消除常规遗传算法中对可行性解严重破坏的缺点以及网络重构法应用在舰船区域配电系统中的有效性.  相似文献   
968.
埋地钢质管道杂散电流的检测评价与防护   总被引:1,自引:0,他引:1  
杂散电流作为一种造成埋地钢质管道管体金属损失的腐蚀因素,随着杂散电流来源数量的逐年增加,也逐渐引起了腐蚀界的重视。为了降低杂散电流的危害,文中介绍了杂散电流的几类主要存在形式和产生机理,根据国内外情况,分别详细陈述了直流杂散电流的测试评价方法和交流杂散电流的测试评价方法。根据目前情况,介绍了几种常用的防护措施。同时,也对杂散电流腐蚀研究的方向进行了简单介绍。  相似文献   
969.
This paper develops a comprehensive approach to the definition of transportation analysis zones (TAZ), and therein, presents a new methodology and algorithm for the definition of TAZ embedded in geographic information systems software, improves the base algorithm with several local algorithms, and comprehensively analyses the obtained results. The results obtained are then compared to these presently used in the transportation analysis process of the Lisbon Metropolitan Area. The proposed algorithm presents a new methodology for TAZ design based on a smoothed density surface of geocoded travel demand data. The algorithm aims to minimise the loss of information when moving from a continuous representation of the origin and destination of each trip to their discrete representations through zones, and focuses on the trade-off between the statistical precision, geographical error, and the percentage of intra-zonal trips of the resulting OD matrix. The results for the Lisbon Metropolitan Area case study suggest a significant improvement in OD matrix estimates compared to current transportation analysis practises based on administrative units.
Elisabete A. SilvaEmail:

Luis M. Martínez   is a Civil Engineer from the Instituto Superior Técnico, Technical University of Lisbon since 2004. After finishing his degree, he started his work as researcher in the CESUR (Civil Engineering & Architecture Department—Instituto Superior Técnico) where he has been working since. In 2006 he completed his Master Thesis at Instituto Superior Técnico on Traffic Analysis Zones modeling and started his PhD studies on the theme: Metropolitan Transportation Systems Financing Using the Value Capture Concept. José Manuel Viegas   is Full Professor of Transportation at the Civil Engineering & Architecture Department of the Instituto Superior Técnico, Technical University of Lisbon. He has worked extensively in Modeling, Innovation and Policy in several types of Transport Systems. He was founder and first Director General of Transportnet, a group of eight leading European Universities with Advanced Studies in Transportation, and currently leads the Portuguese side of the Transportation Systems area in the MIT—Portugal program. Elisabete A. Silva   is at the University of Cambridge (University Lecturer in Planning at the Department of Land Economy and a Fellow of Robinson College). With more than 100 contributions in peer review journals, books/books chapters, conference proceedings, and a research track record of approximately 16 years, (both at the public and private sector), her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time.  相似文献   
970.
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.
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   
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