面内流固冲击载荷下加筋板的动力响应

船舶在恶劣的海况下航行时,船舶结构遭到剧烈的波浪砰击作用,这种冲击载荷可能使船体结构发生屈曲而造成舰船结构总体承载能力的丧失,导致灾难性的后果。加筋板结构作为船舶结构的基本结构之一,研究其动力特性显得尤为重要。基于离散加筋板模型,对具有弹性约束边界的初缺陷矩形加筋板在面内流固冲击载荷下的动力响应问题进行了理论研究。取样条函数作为挠度试函数,运用加权残值法求得初缺陷加筋板动力响应的控制方程,采用四阶Runge—Kutta法求解该方程,并用Fortran语言编制了相应的计算程序。构造的B样条函数能适应板侧边上的任意弹性转动约束,讨论了初始几何缺陷、冲击载荷持续时间、加强筋及弹性约束的影响。结果表明,它们是影响加筋板动力特性的重要因素。适当增加弹性约束,减小初始几何缺陷及冲击载荷持续时间有利于提高加筋板的承载能力。     

Application of analytical model in the prediction of dynamic responses and fatigue damage of flexible risers: Part II – Dynamic analysis of flexible risers in large-scale domain using a direct moment correction method

In recent years, the dynamic responses of flexible risers have been the focus of many researchers. Most flexible risers undergo a substantial level of irregular motion from environmental loadings, which involves a continuous slip of helical wires. The slip of helical wires especially leads to a hysteretic effect by reducing the bending stiffness, making it hard to predict the dynamic responses of flexible risers. The current study, as an extension to Part I, presents a new large-scale dynamic analysis method for flexible risers. The suggested method creates a large-scale model for the dynamic analysis that considers a geometric and bending nonlinearity of flexible risers. The kinematics of each beam element is formulated based on a Green-Lagrangian strain and the interaction with the seabed, providing a realistic analysis of flexible risers. In particular, the current study introduces a direct moment correction method that modifies the internal force vector using an improved analytical model. The improved analytical model is assigned at each node of the large-scale model and estimates an accurate bending hysteresis curve considering the effect of shear deformation and varying tension. The suggested method corrects the bending moment and shear force of all beam elements based on the bending hysteresis curves obtained from the improved analytical model, by which a complex bending behavior of flexible risers is reflected in a large-scale domain. As a result, this study achieves a more accurate prediction of the dynamic responses and fatigue damage of flexible risers. A new dynamic analysis program, called OPFLEX, is developed herein based on the suggested analysis method. Using the developed program, the current study conducts several numerical investigations to identify the effect of the shear deformation and varying tension. Consequently, it is confirmed that the shear deformation of internal layers reduces the fatigue damage of helical wires by delaying the increase of internal stress. It is also identified that the effect of varying tension deteriorates the fatigue life of flexible risers through a continuous change of contact pressure during bending.     

浅水中浮式栈桥单浮箱系泊系统及运动响应特性

基于三维势流理论,利用水动力分析软件AQWA对浅水中浮式栈桥单浮箱系泊系统及运动响应进行研究。对初步设计的多种系泊系统进行优选,并计算浮箱在最优系泊系统下的运动响应幅值算子RAO。结果表明:聚酯缆材料极易疲劳破坏,浅水中交叉型半张紧式锚链系泊表现出良好的系泊性能。浮箱的振幅响应算子RAO与波浪周期变化及波浪作用方向有不可分割的关系,当波浪入射角为120°~150°时,浮箱的纵荡及纵摇RAO较大。为保证较小的垂荡值,浮箱布置可沿入射波方向。为保证较小的首摇角,浮箱布置应避免与来浪呈120°的入射角。     

基于支持向量回归机和粒子群算法的船舶操纵运动模型辨识

基于仿真的Z形试验数据,应用支持向量回归机对船舶操纵运动响应模型进行了机理建模,从核函数结构中得到了模型中的操纵性指数,并利用建立的响应模型进行了Z形试验的运动预报,同时引入粒子群算法对惩罚因子C值进行寻优,以减少惩罚因子C值选择的任意性对船舶操纵运动模型辨识精度产生的不利影响。通过将运动预报结果同仿真试验数据进行比较,验证了文中方法的有效性。     

畸形波作用下半潜平台运动响应研究

海洋结构物的水动力性能研究对于安全、经济的工程设计至关重要.近年来,由海浪巨大波浪引起的事故越来越多地见诸报道,因此,有必要深入研究波浪尤其是畸形波对结构物产生的载荷及运动响应.海上浮式平台的运动响应与系泊载荷密切相关,而文中的出发点正是研究在何种波浪条件下会引起平台的最大运动响应.通过对一座设计作业水深为500 m的半潜式平台进行频域计算,获得了平台在自由漂浮状态下的响应函数(RAO),并与实验数据进行了比较.通过时域模拟,获得了新年波和"三姐妹"波作用下的平台运动响应,研究了畸形波的存在对于平台运动的影响.此外,还研究了畸形波中最大波峰值及连续大波的出现间隔对平台垂荡和纵摇运动的影响,可为后续研究和工程设计提供参考.     

基于AQWA计算规则波中新型海工船的运动响应

本文应用三维势流理论的水动力软件AQWA分析一种新型工程船舶在波浪中的运动响应,新型船为改造的波兰中型集装箱船B-573,设计搭载Pram型艉和POD吊舱式推进系统的新型海工船.本文计算此船在规则波中不同浪向角条件下的六个自由度的频域和时域的运动响应,得到在不同浪向角下船体的响应振幅算子RAO,计算船舶顺浪下不同船速的垂荡RAO以及纵荡、垂荡和纵摇三个自由度的一阶、二阶波浪力,分析结果显示该新船型具有良好的耐波性.     

Dynamic diurnal social taxonomy of urban environments using data from a geocoded time use activity-travel diary and point-based business establishment inventory

In this paper, we explore the diurnal dynamics of joint activity participation in a small city in Pennsylvania, USA, using behavioral data and an inventory of business establishments. We account for the variation caused by the collective impact of social, temporal and spatial choices of individuals to produce predicted space–time visualizations of activity participation. The focus is on how social contexts of an activity impact the temporal and spatial decisions regarding the activity locations and how this impact varies depending on activity types. A comparison across activity types and social interaction types is made among spatial patterns during a day. The CentreSIM dataset, which is a household-based activity diary survey collected in Centre County (Pennsylvania, USA) in 2003, provides very detailed social interaction information enabling the analysis of social, spatial and temporal aspects of activity participation. In this paper we use this information to develop a spatio-temporal interpolation method and demonstration based on kriging. In this way, we extract the dynamic social taxonomy of places from the behavioral information in the dataset and suggest how urban and transportation models can be informed from the dynamics of places by observing “what is taking place” (activities being pursued in the context of this paper) combined with “what exists” (business establishments) or “what is available” (businesses that are open). The method here can also be used to improve the design of urban environments (e.g., filling gaps in desired activity locations), manage specific places (e.g., extending the opening and closing times of businesses), study transportation policies that are sensitive to time of day (e.g., pricing of parking to discourage crowding and traffic congestion), and modeling of spatio-temporal decisions of social activities in travel demand models (e.g., to guide the development of model specification and representation of the space in which behavioral models are applied).     

Integrating mesoscopic dynamic traffic assignment with agent-based travel behavior models for cumulative land development impact analysis

A number of approaches have been developed to evaluate the impact of land development on transportation infrastructure. While traditional approaches are either limited to static modeling of traffic performance or lack a strong travel behavior foundation, today’s advanced computational technology makes it feasible to model an individual traveler’s response to land development. This study integrates dynamic traffic assignment (DTA) with a positive agent-based microsimulation travel behavior model for cumulative land development impact studies. The integrated model not only enhances the behavioral implementation of DTA, but also captures traffic dynamics. It provides an advanced yet practical approach to understanding the impact of a single or series of land development projects on an individual driver’s behavior, as well as the aggregated impacts on the demand pattern and time-dependent traffic conditions. A simulation-based optimization (SBO) approach is proposed for the calibration of the modeling system. The SBO calibration approach enhances the transferability of this integrated model to other study areas. Using a case study that focuses on the cumulative land development impact along a congested corridor in Maryland, various regional and local travel behavior changes are discussed to show the capability of this tool for behavior side estimations and the corresponding traffic impacts.     

CDUBGM-Markov模型在铁路客运量预测中的应用

文章在传统的灰色模型和马尔柯夫模型的基础上,提出了动态无偏灰色马尔柯夫模型,阐述了该模型的建立方法,并采用这三种模型对我国铁路客运量进行了预测,对比结果表明动态无偏灰色马尔柯夫模型的拟合效果较好,预测精度较高,是一种行之有效的预测方法。     

沉管隧道地震响应分析

文章采用田村重四郎和冈本舜三提出的沉埋隧道地震响应分析的数学模型,对南京长江越江隧道(沉管段)方案进行了地震响应的纵向受力分析。分析中采用了隧址处100年超越概率为2%的人工合成地震加速度,考虑了不同管段的联结方式和不同的计算参数,对初步设计中沉管段结构的安全性进行了论证,所提供的数据曾为设计单位所采纳[1]。