环境荷载联合作用下海上风电结构动力响应分析

为研究海上风电结构在复杂的海洋环境中承受环境荷载(风、波、冰、流)的联合作用时,结构产生的剧烈的动力响应问题。文章以三脚架基础海上风电结构为研究对象,采用ANSYS有限元软件建立其整体模型并进行荷载(风、波、流和风、冰、流)联合作用下的静力校核,通过对环境荷载联合作用下的三脚架基础海上风电结构进行瞬态分析,掌握其动力响应的特性及规律。结果表明:三脚架基础结构的一、二阶自振频率均为0.285Hz,在所选风机允许的频率范围内,可以保证整体结构不会与风机转动发生共振;风荷载在风、波、流荷载联合作用下主导控制结构响应的稳态波动,冰荷载在风、冰、流荷载联合作用下主导控制结构的稳态振动过程;塔筒顶端呈现的位移和加速度响应均远大于三脚架基础顶端;环境荷载联合作用下结构动力响应是环境荷载单独作用下动力响应叠加的结果。     

半城子水库水生态健康评价

参照《水生态健康评价技术规范》中的评价方法及评价体系,对密云水库上游半城子水库水生态健康状况进行评价,评价结果显示:半城子水库水生态健康综合指数为83.79,处于评价水平中的健康等级.根据评价结果,从村庄生活污染控制、河道生态修复及库区水质改善等方面提出建议.通过对河湖生态系统的现状及存在的问题进行诊断,来评估北京市河湖水生态系统的健康状况,对加快推进水生态文明建设具有重要意义.     

潮白河试验性生态补水期间问题及对策

2021年春季,潮白河首次实施试验性生态补水,实现了潮白河自1999年以来北京境内首次全线通水,生态补水有效回补了地下水,改善了生态环境.但由于河道常年断流,多年未过水,此次补水对水工建筑物和涉河工程造成一定影响,如局部堤防严重渗水、溯源冲刷导致建筑物受损、多处跨河工程受严重冲刷.梳理了补水期间出现的问题,分析了出险原因,并从河道规划、河道治理、涉河工程保护及应急抢险等方面提出对策和建议.     

Stock Price Forecasting: An Echo State Network Approach

Forecasting stock prices using deep learning models suffers from problems such as low accuracy, slow convergence, and complex network structures. This study developed an echo state network (ESN) model to mitigate such problems. We compared our ESN with a long short-term memory (LSTM) network by forecasting the stock data of Kweichow Moutai, a leading enterprise in China’s liquor industry. By analyzing data for 120, 240, and 300 days, we generated forecast data for the next 40, 80, and 100 days, respectively, using both ESN and LSTM. In terms of accuracy, ESN had the unique advantage of capturing nonlinear data. Mean absolute error (MAE) was used to present the accuracy results. The MAEs of the data forecast by ESN were 0.024, 0.024, and 0.025, which were, respectively, 0.065, 0.007, and 0.009 less than those of LSTM. In terms of convergence, ESN has a reservoir state-space structure, which makes it perform faster than other models. Root-mean-square error (RMSE) was used to present the convergence time. In our experiment, the RMSEs of ESN were 0.22, 0.27, and 0.26, which were, respectively, 0.08, 0.01, and 0.12 less than those of LSTM. In terms of network structure, ESN consists only of input, reservoir, and output spaces, making it a much simpler model than the others. The proposed ESN was found to be an effective model that, compared to others, converges faster, forecasts more accurately, and builds time-series analyses more easily.     

Double Medical Images Zero-Watermarking Algorithm Based on the Chaotic System and Ternary Accurate Polar Complex Exponential Transform

Journal of Mathematical Imaging and Vision - Different from the traditional watermarking schemes, zero-watermarking schemes are lossless embedding methods, which are applicable to be used in...     

Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity

Distributed and Parallel Databases - The widely application of positioning technology has made collecting the movement of people feasible for knowledge-based decision. Data in its original form...     

2011年12月计算机病毒疫情分析

根据国家计算机病毒应急处理中心对互联网的监测,2011年12月计算机病毒整体感染情况呈平稳态势,主要传播途径仍以＂网络钓鱼＂和＂网页挂马＂为主。     

莱钢宽厚板MES的开发与应用

为了满足宽厚板生产小批量、多品种、多工序、多要求的实际情况,结合工艺要求和先进的计算机技术开发出一套铸轧一体化的MES系统,使得各种生产数据及特殊生产要求准确无误并及时发送到现场的执行系统,兼顾了质量与效率;组板、组炉、组浇模型的采用为大规模生产创造了条件,兼顾了成本与效率.精确到每块材料的合同跟踪模型保证了产品的如期交货,从而保证了较高的客户满意度.系统采用成熟的三层架构,数据库采用稳定的Oracle数据库技术,前台开发工具采用主流的VS2008,数据库和应用服务器均采用IBM的Aix操作系统,保证了系统的稳定、高效、安全.通过MES的实施较好地解决了制造环节的各种问题.     

无线机电阻抗结构健康监测系统软件开发

机电阻抗技术是一种新兴的非参数结构健康监测方法,对结构局部微缺陷比较敏感;为了实现基于机电阻抗技术的结构健康监测,采用Visual C++和Matlab混合编程的方式设计和开发了系统监测软件;该软件用于控制现场的无线智能机电阻抗传感器进行数据采集,同时对测量数据进行处理,根据损伤评估算法评定结构健康状况;软件采用Visual C++编写系统人机交互界面和通信接口程序,采用Matlab编写数据处理和损伤评估算法,同时图形化输出运算结果;将两者的优势有机结合,从而缩短了软件的开发周期。     

攻击型无人机切换控制系统容错算法研究

攻击型无人机单侧发射或投放重型武器时,可将飞行控制系统看作是一个切换控制系统。针对常见的常值型和时变型两种执行器故障,提出了一种自适应观测器设计方法,同时结合状态反馈控制设计了容错控制器。通过Lyapunov函数推出了观测器的误差是关于故障界输入状态实际稳定的充分条件,通过平均驻留时间方法证明了切换控制系统是全局输入状态实际稳定的。某型攻击型无人机仿真实例表明,此方法能在准确估计故障大小的基础上,有效保持切换飞行控制系统的性能,应用前景十分广阔。