Numerical simulations of fatigue crack initiation and propagation based on re-tensile plastic zone generating load criterion for in-plane gusset welded joints

Many accidents are caused by fatigue in welded built-up steel structures, and so it is important to estimate the fatigue lives of such structures quantitatively for safety reasons. By assuming that fatigue cracks cannot grow without an accumulation of alternating tensile/compressional plastic strain, one of the authors identified an improved effective stress intensity factor range ΔK _RPG based on the re-tensile plastic zone generating (RPG) load, which represents the driving force for fatigue cracks, and suggested that ΔK _RPG should be used as the parameter to describe fatigue crack growth behavior. The “FLARP” numerical simulation code in which ΔK _RPG is implemented as the fatigue crack growth parameter, was developed in order to predict fatigue crack initiation and propagation behavior. In this paper, it is demonstrated that FLARP gives accurate estimates for fatigue life by comparing the estimated fatigue crack growth curves and S–N curves with the experimental results for in-plane gusset welded joints, which are used in many welded steel structures. Moreover, the effect of induced bending moment due to the linear misalignment in the out of plane direction on the fatigue strength of in-plane gusset welded joints is investigated through numerical simulations.     

Analysis of velocity fluctuations and their intermittency properties in the surf zone using empirical mode decomposition

We consider here surf zone turbulence measurements, recorded in the Eastern English Channel using a sonic anemometer. In order to characterize the intermittent properties of their fluctuations at many time scales, we analyze the experimental time series using the Empirical Mode Decomposition (EMD) method. The series is decomposed into a sum of modes, each one narrow-banded, and we show that some modes are associated with the energy containing wave breaking scales, and other modes are associated with small-scale intermittent fluctuations. We use the EMD approach in association with a newly developed method based on Hilbert spectral analysis, representing the probability density function in an amplitude–frequency space. We then characterize the fluctuations in a stochastic framework using a cumulant generating function for all scales, and compare the results obtained from direct and classical structure function analysis, to EMD–Hilbert spectral analysis results, showing that the former method saturates at large scales, whereas the latter method is more precise in its scale approach. These results show the strength of the new EMD–Hilbert spectral analysis method for data presenting a strong forcing such as found in shallow water, wave dominated situations.     

生态系统分析方法与农业科技示范园规划

现代农业科技园区建设规划目标是实现经济、生态、社会效益的协调,园区是一个复合的人工生态系统。在规划过程中的一个核心环节就是进行生态系统分析,并在分析的基础上进行生态系统设计。文中讨论了农业园区生态系统分析的目标、步骤,并提出了科技园区的复合生态系统由4个子系统组成,分别是：安全永续的生态环境资源子系统、清洁循环的生态产业经济子系统、自然和谐生态人类住区子系统、先进高效的科技支持和管理决策子系统。     

基于三维CAD的船体集成装焊工艺设计与分析系统

根据集成化和工艺优化的设计思想,针对目前国内造船企业生产工艺设计手段水平不高和工艺可靠性分析不够规范的现状,设计开发了基于三维CAD的船体集成装焊工艺准备系统.实现了该系统与焊接工艺FMEA系统的集成,达到了集成焊接工艺设计与分析的目的,从而促进了船体快速工艺设计和工艺可靠性分析,提高了工艺准备的效率和质量.并给出了验证实例.     

3600t化学品船主推进系统安装工艺

为了更合理地进行3600t化学品船主推进系统设备的安装,对轴系采用负荷法校中,使轴系各轴承负荷分配更趋合理。编制安装工艺,指导和控制各设备的安装步序以及安装质量要求,使船厂缩短了安装周期,并且通过了船东、船检的认可和验收。     

网络计划技术在船舶修造中的应用

文章介绍网络计划技术方法,并将其应用于船舶修造的生产管理,可以克服横道图的缺点,实现利用计算机在船舶修造生产中的现代化管理。     

杭州湾跨海大桥南航道桥钢锚箱施工技术

杭州湾跨海大桥南航道桥为A形独塔双索面钢箱梁斜拉桥,索塔锚固区采用混凝土结合钢锚箱结构,此结构形式在我国尚属新工艺。文章主要介绍了南航道桥钢锚箱安装施工工艺、施工难点及解决措施。结果表明,其轴线偏位、高程、垂直度等全部满足规范要求。     

交通模型的价值

在既有规划编制导则中,已经明确交通模型和交通需求分析是综合交通体系规划、轨道交通线网规划的重要工作内容。交通模型的价值并非仅仅体现在预测结果和精度上,更在于编制过程中对交通特征和供需关系的分析,对战略方案、系统方案的指导、解释、论证的作用上。但在现实规划编制中,模型的地位和价值在丧失,日益成为项目成果中的摆设品,难以支撑交通需求深入分析,并与战略构思、方案制定相脱节。与此同时,规划实践、大数据、交通模型的发展趋势,亟须重新审视模型的价值,提升模型精细化的定量分析水平。最后,从机制保障、应用推广、功能拓展、科研攻关等方面,提出促进模型价值提升的相关建议。     

京福高速公路徐州绕城西段煤矿采空区处治研究

京福高速公路徐州绕城西段穿越徐州市北部和西部,要通过富水倾斜的复杂煤矿采空区,经过采用注浆立填法进行处治取得了成功,可为今后类似复杂采空区处理的勘察设计和治理工程提供技术借鉴和指导作用。     

高速公路动态交通流Elman神经网络模型

为了提高高速公路交通流建模的精度,分析了离散的高速公路动态交通流数学模型,基于Elman网络原理,建立了回归神经网络交通流模型。回归神经网络的输入层、上下文层、隐含层和输出层的节点数目分别选为8、30、30和2,采用Levenberg-Marquardt算法对回归神经网络进行训练,并对一条5路段的高速公路进行仿真。结果表明:回归神经网络平均相对误差为8.683 7×10-5,最大相对误差为4.237 1×10-4,与BP神经网络和RBF神经网络相比较,Elman回归神经网络能更好地逼近交通流数学模型,真实地描述交通流基本特性,能准确地建立动态交通流模型,适应交通状况的变化。