淮安市地表水水质变化趋势分析

应用季节性kendall检验法,对2000—2009年淮安市主要水系河流的地表水水质指标变化趋势进行分析评价。结果表明:随着近年来淮河流域水污染防治力度的加大,以及对洪泽湖作为南水北调东线工程输水主干线自身的治理,淮安市境内的主要河流湖泊总体水质略有好转,由于淮河入海水道水功能区划的调整,入海水道总体水质有所下降,而洪泽湖水体TP含量呈逐年上升趋势,其他水体水质总体变化不大。     

小湾水电站大坝仓面保温措施效果分析

为了掌握收仓面覆盖EPE保温材料保温的真实效果,特在同一仓同面内做保温试验,试验结果说明覆盖保温材料与没有覆盖保温材料的混凝土仓面温度没有太大变化,证明效果不明显,混凝土仓面是否可不覆盖保温材料正在进一步试验中论证中,如通过试验论证取消该措施,对提高收仓面质量、加快施工进度、节约施工成本等都大有好处.     

合肥市区周边地表水体形态磷的研究

选取合肥市周边代表性的地表水体董铺水库、天鹅湖、翡翠湖为研究对象,运用地表水和污水监测技术规范中的标准方法,对3个水体的TP、DTP、PP、DIP、DOP进行监测,并做了初步研究和分析。结果表明,天鹅湖水体中总磷的平均浓度为O,102mg／L,符合V类标准要求,水体中磷主要以DTP和DOP的形式存在,TP—DIP显著正相关;董铺水库总磷的平均浓度为0．031mg／L,达到Ⅲ类标准,磷主要以DTP和DIP的形式存在,其中TP与DTP之间高度显著正相关;翡翠湖水体中总磷的平均浓度为0．060meCL,达到IV类标准,水体中磷主要以ADTP的形式存在,其@TP与PP之间显著正相关,PP在该湖泊中占有重要的地位。     

三维颅骨模型获取方法研究

颅面复原是一种对人类的颅骨进行面部容貌复原的技术,该技术以人类学、法医学、解剖学中的头骨与面貌相互关系规律为科学依据,广泛应用于考古、刑侦等领域。其中获取三维颅骨模型是实现复原的第一步,颅骨模型的准确与否会直接影响到将来颅面复原的准确性。文中主要介绍了两种获取三维颅骨模型的方法,一种是对cT图像进行面绘制三维重构,另一种是使用三维扫描仪获取三维颅骨模型。之后对获取的颅骨模型建立法兰克福坐标系。实验表明,通过这两种方法获取的颅骨模型为颅面复原提供了良好的颅骨原始数据。     

Harvesting light with transformation optics

Transformation optics （TO） is a new tool for controlling electromagnetic fields. In the context of metamaterial technology, it provides a direct link between a desired electromagnetic （EM） phenomenon and the material response required for its occurrence. Recently, this powerful framework has been successfully exploited to study surface plasmon assisted phenomena such as light harvesting. Here, we review the general strategy based on TO to design plasmonic devices capable of harvesting light over a broadband spectrum and achieving considerable field confinement and enhancement. The methodology starts with two-dimensional （2D） cases, such as 2D metal edges, crescent-shaped cylinders, nanowire dimers, and rough metal surfaces, and is well extended to fully-fledged three-dimensional （3D） situations. The largely analytic approach gives physical insights into the processes involved and suggests a way forward to study a wide variety of plasmonic nanostructures.     

Adaptive Decentralized NN Control of Nonlinear Interconnected Time‐Delay Systems with Input Saturation

In this paper, a novel decentralized adaptive neural control scheme is proposed for a class of interconnected large‐scale uncertain nonlinear time‐delay systems with input saturation. Radial basis function (RBF) neural networks (NNs) are used to tackle unknown nonlinear functions. Then, the decentralized adaptive NN tracking controller is constructed by combining Lyapunov–Krasovskii functions and the dynamic surface control (DSC) technique, along with the minimal‐learning‐parameters (MLP) algorithm. The stability analysis subject to the effect of input saturation constraints are conducted with the help of an auxiliary design system based on the Lyapunov–Krasovskii method. The proposed controller guarantees uniform ultimate boundedness (UUB) of all of the signals in the closed‐loop large‐scale system, while the tracking errors converge to a small neighborhood around the origin. An advantage of the proposed control scheme lies in the number of adaptive parameters of the whole system being reduced to one and in the solution of the three problems of “computational explosion,” “dimension curse,” and “controller singularity”. Finally, simulation results along with comparisons are presented to demonstrate the advantages, effectiveness, and performance of the proposed scheme.     

Adaptive dynamic surface control of a hypersonic flight vehicle with improved tracking

This work presents a nonlinear adaptive dynamic surface air speed and a flight path angle control design procedure for the longitudinal dynamics of a generic hypersonic flight vehicle. The proposed design scheme takes into account the magnitude, rate, and bandwidth constraints on the actuator signals. A new approach is used to enhance tracking performance and avoid a large initial control signal. The uncertain nonlinear functions in the flight vehicle model are approximated by using radial basis function neural networks. A detailed stability analysis of the designed controllers shows that all the signals of the closed‐loop system are uniformly ultimately bounded. The robust performance of the design scheme is verified through numerical simulations of the flight vehicle model for various parameter variation test cases. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

基于遗传算法的输出反馈动态面优化控制

针对一类只有输出信号可测且非线性项含不可测状态的不确定系统,基于输入信号置换思想构建了神经网络状态观测器,结合动态面理论设计了输出反馈自适应控制方案。通过理论分析确定了控制律参数选取范围,保证了闭环控制系统所有信号半全局一致终结有界; 利用遗传算法提出一种参数寻优策略,选取了最优的输入初始值和控制律参数,解决了控制冲击问题,提高了跟踪精度。     

典型非稳态水跃现象的数值研究

采用VOF模型跟踪自由表面的变化,数值模拟了典型水跃湍流由静止到最终稳定的全过程。本文给出了水跃现象在不同时刻自由表面的变化情况,主要对水跃过程中自由表面的形状、内部流场结构、速度矢量场及压力场分布进行了分析。结果表明,VOF模型能够有效地描述水跃这类复杂自由表面流道的湍流特性,具有可行性与实用性。     

丹水撇洪渠左岸变形边坡稳定计算及评价

丹水撇洪渠位于长阳土家族自治县,是高坝洲水库区津洋口镇大防护工程的一个组成部分。覆盖层下的强风化岩体中出现了一步发展的趋势,通过分析轻微变形区中的两个剖面确定其相应的滑动面及滑动趋势。