波浪能发电平台系泊系统耦合动力响应及水动力分析

本文以一种新型波浪能发电平台为研究对象,分别采用基于三维势流理论的软件Sesam和基于有限体积法的Flow3D软件,对平台和发电浮子进行水动力分析。应用Sesam-HydroD模块计算了平台和发电浮子在频域内的运动响应,将平台和发电浮子的垂荡运动响应进行对比分析,结果表明,在正常海况下,平台与发电浮子垂荡运动相对幅值满足捕能系统的发电需求。应用Flow3D软件对平台整体进行水动力分析,结果表明,平台与发电浮子相对运动振幅在0.3～0.4m间,可满足发电需求。在此基础之上,应用Orcaflex软件,通过时域耦合动力分析的方法,计算了平台在自存工况和作业工况下的运动响应和系泊缆动张力响应,结果表明:在自存工况下,平台锚泊线的安全系数符合规范要求,平台具有良好的安全性能,能够适应恶劣的海洋环境;在作业工况下,平台的垂荡运动响应对波浪方向变化并不敏感,捕能系统不受波浪方向变化的影响,满足发电需求。另外,本文的研究结果能为类似的海洋平台的研究提供建议和参考。     

Cartographic Design and the Space–Time Cube

This paper reports on the results of an empirical evaluation that aimed to define the effectiveness and efficiency of different visual variables in depicting the Space–Time Cube’s (STC) content. Existing STC applications demonstrate that the most used visual variables are size and colour hue. Less is known, however, about their usability metrics. The research sets design criteria for STC contents, such as space–time paths, based on the cartographic design theory. The visual variables colour hue, colour value, colour saturation, size and orientation have been applied in two different use case studies. Besides, to support the three-dimensional visual environment, depth cues such as shading and transparency were considered too. User tests have been executed based on real-world problems with particular attention for the visualization strategy and data complexity. The outcomes revealed the most efficient and effective visual variables to represent data of various complexities in the STC.     

Cartographic Symbol Design Considerations for the Space–Time Cube

The cartographic representation of geographic phenomena in the space–time cube comes with special challenges and opportunities when compared with two-dimensional maps. While the added dimension allows the display of attributes that vary with time, it is difficult to display rapidly varying temporal data given the limited display height. In this study, we adapt 2D cyclic point symbols to construct 3D surfaces designed along a helical path for the space–time cube. We demonstrate how these complex?3D helical surfaces can display detailed data, including data reported daily over 100 years and data reported in four-hour intervals over a year. To create the point symbols, each value is plotted along the curve of a helix, with each turn of the helix representing one year or week, respectively. The model is modified by varying the radii from the time axis to all points using the attribute value, in these cases maximum daily temperature and four-hourly ridership, and then creating a triangulated surface from the resulting points. Using techniques common to terrain representation, we apply hue and saturation to the surface based on attribute values, and lightness based on relief shading. Multiple surfaces can be displayed in a space–time cube with a consistent time interval facing the viewer, and the surfaces or viewer perspective can be rotated to display synchronized variations. We see this method as one example of how cartographic design can refine or enhance operations in the space–time cube.     

Re-examining urban region and inferring regional function based on spatial–temporal interaction

Urban system is shaped by the interactions between different regions and regions planned by the government, then reshaped by human activities and residents’ needs. Understanding the changes of regional structure and dynamics of city function based on the residents’ movement demand are important to evaluate and adjust the planning and management of urban services and internal structures. This paper constructed a probabilistic factor model on the basis of probabilistic latent semantic analysis and tensor decomposition, for purpose of understanding the higher order interactive population mobility and its impact on urban structure changes. First, a four-dimensional tensor of time (T)?×?week (W)?×?origin (O)?×?destination (D) was constructed to identify the day-to-day activities in three time modes and weekly regularity of weekday/weekend pattern. Then we reclassified the urban regions based on the space clustering formed by the space factor matrix and core tensor. Finally, we further analysed the space–time interaction on different time scales to deduce the actual function and connection strength of each region. Our research shows that the application of individual-based spatial–temporal data in human mobility and space–time interaction study can help to analyse urban spatial structure and understand the actual regional function from a new perspective.     

太平洋年代际振荡对冬季北半球两大洋风暴轴协同变化的可能影响

利用NCEP/NCAR提供的再分析资料和NOAA提供的海温资料分析太平洋年代际振荡(Pacific Decadal Oscillation,PDO)不同位相的年代际背景下北半球海气耦合关系的异常与风暴轴协同变化的联系,主要结果如下:1)冬季太平洋年代际振荡与北半球两大洋风暴轴协同变化之间存在显著的相关关系,当PDO暖位相时,对应两大洋风暴轴南北位置反向的异常变化,其中北太平洋风暴轴偏南且中东部减弱,北大西洋风暴轴偏北且中东部增强,PDO冷位相时相反。2)PDO为暖位相时,对应El Niňo型海温异常,北大西洋海温呈三极型,平均槽脊加强,经向环流增强,极涡收缩,北太平洋风暴轴南压,大西洋风暴轴则北抬,此时欧亚大陆北部和北美大陆大部分地区温度异常升高,亚洲南部、非洲北部及巴伦支海以北的高纬温度异常降低,北美西南部和格陵兰岛附近温度也为异常降低,PDO冷位相时相反。     

ANALYTICAL HAYAMI SOLUTION FOR THE DIFFUSIVE WAVE FLOOD ROUTING PROBLEM WITH LATERAL INFLOW

The diffusive wave equation is generally used in flood routing in rivers. The two parameters of the equation, celerity and diffusivity, are usually taken as functions of the discharge. If these two parameters can be assumed to be constant without lateral inflow, the diffusive wave equation may have an analytical solution: the Hayami model. A general analytical method, based on ‘Hayami’s hypothesis, is developed here which resolves the diffusive wave flood routing equation with lateral inflow or outflow uniformly distributed over a channel reach. Flood routing parameters are then identified using observed inflow and outflow and the Hayami model used to simulate outflow. Two examples are discussed. Firstly, the prediction of the hydrograph at a downstream section on the basis of a knowledge of the hydrograph at an upstream section and the lateral inflow. The second example concerns lateral inflow identification between an upstream and a downstream section on the basis of a knowledge of hydrographs at the upstream and downstream sections. The new general Hayami model was applied to flood routing simulation and for lateral inflow identification of the River Allier in France. The major advantages of the method relate to computer simulation, real-time forecasting and control applications in examples where numerical instabilities, in the solution of the partial differential equations must be avoided.     

基于耦合场分割算法的ANSYS二次开发及其应用

耦合场分割算法是当前研究的热点之一。本文首先对比研究了瞬态热传导方程和孔压增长消散方程,提出了一种适用于ANSYS二次开发的分割算法,并对2种不同的预测值计算模式对计算稳定性的影响进行了分析。然后,据之对ANSYS温度—结构耦合场模块进行了开发,形成了岩土工程有效应力计算模块。数值实验表明,这种方法具有较高的计算精度和良好的计算稳定性,并且能够充分利用现有程序资源,具有较高的工程应用价值。     

钢框架-混凝土抗侧力结构的抗震性能研究

在双重抗侧力结构体系中,地震作用主要由支撑框架或剪力墙等抗侧力结构承受,框架则主要承受竖向荷载,但是对框架的水平抗力也有具体要求。我国规范和美国规范对钢框架-剪力墙结构中框架应该承担的剪力有不同的规定,并且给出相应的抗震校核方法。此外,人们需要了解在混合结构中减少柱的数量对结构抗震性能的影响。为此,本文进行了2种钢-混凝土混合结构地震响应的有限元分析,并且考虑了柱距的变化,得到了轴压比的变化规律,对由两国抗震校核方法的计算结果进行了对比,提出了相关的设计建议。     

长江三峡巴东复杂斜坡系统成因研究

三峡库区巴东县新城区所在的扇形大斜坡是一个复杂斜坡系统。斜坡后缘边界的挤压变形带是斜坡整体沿其底界面（T1j^3-T2b^1）之间岩层界面向长江发生重力蠕滑作用的结果,不存在“巴东断裂”问题。斜坡系统内部未发现成规模的褶皱,也不存在数量众多的内动力成因的断裂带。巴东斜坡区浅表生变形破坏类型可概括为侧向拉裂、“雪崩式”垮塌、表层风化、侧向滑移张剪破裂、岩层折断变位、软岩膝折剪破裂和压扭破裂又重胶结7种重力卸荷破坏力学模式。斜坡系统内部发育分期分区（块）滑动（滑坡）现象,但不存在构造地质意义上的“断层”形迹。在地貌形态上,巴东大斜坡被4条冲沟分割成5个斜坡单元。在斜坡地质结构、成因类型与空间分布上,巴东大斜坡可划分为3个层次,即表层崩塌滑坡成因为主的堆积层（第一层次）,冲沟分割且浅表生地质形迹发育的层状顺倾的中间基岩层（第二层次）和整体连续顺倾的深层基岩层（第三层次）。分形几何计算证明,巴东大斜坡的地貌形态尚处于侵蚀发育的青（幼）年期。FLAC^3D数值模拟发现,在长江侵蚀下切的不同阶段,巴东斜坡体前缘和后缘接近底界面位置塑性变形区分布集中,但不具备沿深层界面发生整体滑动剪出的可能性。基本认识是,“巴东复杂斜坡系统”是在官渡口-东瀼口向斜南翼（单斜山）的地质背景下,持续经受长江快速侵蚀下切外动力作用,河谷岸坡快速临空导致其自身重力产生强烈的侧向卸荷与滑移等浅表生地质改造作用过程而形成的,可简单地概括为“重力成因论”。     

Future Changes in Extreme High Temperature over China at 1.5℃-5℃ Global Warming Based on CMIP6 Simulations

Extreme high temperature(EHT)events are among the most impact-related consequences related to climate change,especially for China,a nation with a large population that is vulnerable to the climate warming.Based on the latest Coupled Model Intercomparison Project Phase 6(CMIP6),this study assesses future EHT changes across China at five specific global warming thresholds(1.5℃-5℃).The results indicate that global mean temperature will increase by 1.5℃/2℃ before 2030/2050 relative to pre-industrial levels(1861-1900)under three future scenarios(SSP1-2.6,SSP2-4.5,and SSP5-8.5),and warming will occur faster under SSP5-8.5 compared to SSP1-2.6 and SSP2-4.5.Under SSP5-8.5,global warming will eventually exceed 5℃ by 2100,while under SSP1-2.6,it will stabilize around 2℃ after 2050.In China,most of the areas where warming exceeds global average levels will be located in Tibet and northern China(Northwest China,North China and Northeast China),covering 50%-70%of the country.Furthermore,about 0.19-0.44 billion people(accounting for 16%-41%of the national population)will experience warming above the global average.Compared to present-day(1995-2014),the warmest day(TXx)will increase most notably in northern China,while the number of warm days(TX90p)and warm spell duration indicator(WSDI)will increase most profoundly in southern China.For example,relative to the present-day,TXx will increase by 1℃-5℃ in northern China,and TX90p(WSDI)will increase by 25-150(10-80)days in southern China at 1.5℃-5℃ global warming.Compared to 2℃-5℃,limiting global warming to 1.5℃ will help avoid about 36%-87%of the EHT increases in China.