压载荷下骨材贯穿孔孔边应力集中模型试验

以船舶双层底结构为研究对象开展模型试验,研究板材中的开孔在承受压力载荷作用下的孔边应力分布情况,分析压力载荷下不同开孔孔型以及不同补强结构对孔边应力分布情况的影响。在此基础上,开展相关仿真分析,将试验结果与有限元仿真结果进行对比,验证有限元仿真的准确性。     

异形网箱生态结构的设计及应用

为保护落成洲整治建筑物头部潜堤根部及LL3~LL5号丁坝根部的现有植被,在标准网箱结构的基础上,研发出异形网箱结构来替代抛石筑堤。异形网箱生态堤在满足工程功能需求的前提下,完整保护了落成洲的原有生态环境,可为航道整治生态结构设计提供参考。     

长江南京以下12.5m深水航道二期工程安全应急方案研究

安全应急预案对于提高安全事故中的救援能力、减少安全事故带来的损失具有重要的意义。以南京以下12.5m深水航道二期工程为背景,对拟定的安全应急预案进行分析研究,总结出安全应急预案体系包括综合安全应急预案、专项应急预案和现场处置方案,提炼各层次预案对应的事件类型和具体内容,并编制首接责任制下的应急组织机构和应急流程。     

仿生水草垫在航道整治护滩工程中的应用

针对三峡水库蓄水后,来沙量大幅减少的实际情况,在长江中游荆江窑监河段新河口边滩护滩工程缓流区,开展了仿柔性植被水草垫促淤结构现场试验,取得了较好的工程效果。对水草垫促淤结构的设计思路、构件设计、促淤机理和施工工艺进行阐述,并对工程效果进行分析。该结构丰富了航道整治工程促淤结构形式。     

沿海港口煤炭专业化运输系统适应性探讨

结合全国煤炭生产消费及调运情况,分析北方煤炭下水港布局、后方铁路通道规划建设及煤炭下水趋势对专业化煤炭下水港未来发展的影响,研究南方煤炭接卸港码头布局、外贸进口煤炭和煤炭中转基地建设及接卸港发展趋势对接卸港布局及建设的影响,对全国沿海港口煤炭专业化运输系统分区域、分结构的适应性进行探讨,并提出问题及建议。     

围区吹填造地新型竹隔堤结构稳定性计算

采用竹结构替代传统的抛石与袋装砂堤,作为围区吹填分区隔堤是一个新的设计思路。为了解该新型隔堤挡土结构在土压作用下的整体安全稳定性与合理的结构尺度,基于浙江省台州东部新区涂面整理工程环湖护岸竹结构外部建设条件,分析影响其整体安全稳定性的因素,采用湖内蓄水平衡土压力的方法,进而运用有限元分析软件PLAXIS计算竹隔堤两侧不同水位差与竹隔堤结构不同跨数组合方案时竹隔堤整体稳定性。     

挖泥船输送系统计算分析软件研制

基于矩阵实验室平台,将挖泥船输送系统的计算仿真程序进行封装处理,建立挖泥船输送系统计算分析软件系统(DTAS)。该系统首次汇集了多种泥泵管路特性曲线的计算方法,包括泥泵及管路数据文件的存储查询、泥泵管路特性曲线的计算以及多种计算模型的选择、施工现场数据反分析、接力泵船的计算等十几个计算模块,可以更加系统化、全面化地进行输送计算分析。DTAS系统界面操作简单,为施工及技术人员提供了便捷的计算工具,大大提高了工作效率,可广泛推广应用。     

航道整治建筑物薄壁大圆筒结构水槽试验研究

基于薄壁大圆筒结构在国内外沿海港口码头和防波堤工程中研究及应用现状,设计一种薄壁大圆筒结构坝。采用水槽试验的技术手段,研究大水深、大流速情况下坝体稳定性和抗倾临界条件,得到无充填、充填天然沙及带基座的充填薄壁大圆筒结构在水深34 m条件下抗倾流速分别为2.90、3.18及4.95 m/s,认为其能满足不同河流的航道整治建筑物稳定要求,可作为丁坝、顺坝、导流坝及潜坝等多种结构形式在内河航道整治工程中推广运用。     

Spatiotemporal traffic forecasting: review and proposed directions

This paper systematically reviews studies that forecast short-term traffic conditions using spatial dependence between links. We extract and synthesise 130 research papers, considering two perspectives: (1) methodological framework and (2) methods for capturing spatial information. Spatial information boosts the accuracy of prediction, particularly in congested traffic regimes and for longer horizons. Machine learning methods, which have attracted more attention in recent years, outperform the naïve statistical methods such as historical average and exponential smoothing. However, there is no guarantee of superiority when machine learning methods are compared with advanced statistical methods such as spatiotemporal autoregressive integrated moving average. As for the spatial dependency detection, a large gulf exists between the realistic spatial dependence of traffic links on a real network and the studied networks as follows: (1) studies capture spatial dependency of either adjacent or distant upstream and downstream links with the study link, (2) the spatially relevant links are selected either by prejudgment or by correlation-coefficient analysis, and (3) studies develop forecasting methods in a corridor test sample, where all links are connected sequentially together, assume a similarity between the behaviour of both parallel and adjacent links, and overlook the competitive nature of traffic links.     

Locating rental stations and bikeways in a public bike system

To determine the spatial distribution of rental stations and bikeways in a public bike system, this paper proposes a facility location and network design model. The model is developed as a multi-objective programing problem that considers four objectives (minimizing cyclist risk, maximizing cyclist comfort, minimizing adverse impacts on traffic and maximizing service coverage) and multiple constraints (monetary budget, network connectivity, station spacing, bikeway types, station number and value ranges of decision variables). The ε-constraint method solves the programing problem for the public bike system in Daan District, Taipei City, Taiwan. The nine non-dominated alternatives generated are all markedly better than existing locations of rental stations and bikeways. Scenario analysis results indicate that increasing the construction budget for bikeways significantly improves cyclist safety and comfort whilst increasing the adverse impact on traffic. Planners can use this model to develop public bike systems that spatially integrate rental stations and bikeway networks.