A simple LMS‐based approach to the structural health monitoring benchmark problem

A structure's health or level of damage can be monitored by identifying changes in structural or modal parameters. However, the fundamental modal frequencies can sometimes be less sensitive to (localized) damage in large civil structures, although there are developing algorithms that seek to reduce this difficulty. This research directly identifies changes in structural stiffness due to modeling error or damage using a structural health monitoring method based on adaptive least mean square (LMS) filtering theory. The focus is on computational simplicity to enable real‐time implementation. Several adaptive LMS filtering based approaches are used to analyze the data from the IASC–ASCE Structural Health Monitoring Task Group Benchmark problem. Results are compared with those from the task group and other published results. The proposed methods are shown to be very effective, accurately identifying damage to within 1%, with convergence times of 0.4–13.0 s for the twelve different 4 and 12 degree of freedom benchmark problems. The resulting modal parameters match to within 1% those from the benchmark problem definition. Finally, the methods developed require 1.4–14.0 Mcycles of computation and therefore could easily be implemented in real time. Copyright © 2004 John Wiley & Sons, Ltd.     

崇明地震台FGE磁通门磁力仪D分量基线值的确定

基线值是考察记录仪运行是否稳定可靠的一个重要指标。本文以记录仪的D分量为例,通过认真仔细地分析与探索,使用数据处理的方法,解决了崇明台FGE磁通门磁力仪基线值不稳定的问题。这对基线值的确定和日常的数据处理都具有一定的指导意义。     

地质雷达资料的偏移速度分析和叠前偏移

地质雷达资料偏移成像的精度与地下介质介电常数分布的确定精度有直接关系.提出用全局最优化偏移速度分析方法求取介电常数分布.目标函数定义为各共成像点道集零延迟归一化互相关值之和.在假设地下介质是分块的,且每块介质的介电常数可以用有限项的与空间坐标有关的多项式函数来表示的前提下,用遗传算法由浅至深逐块确定使目标函数达到最大的多项式函数的各项系数从而确定介电常数.叠前偏移用时间域有限差分求解麦克斯韦方程组的逆时偏移方法实现.合成雷达记录的偏移速度分析和偏移叠加结果表明,全局最优化偏移速度分析有较高的精度,偏移叠加剖面与实际构造一致.     

水文相关中的最小二乘回归问题探讨

在研究了水文相关中利用最小二乘原理进行回归分析方法的基础上，指出了传统水文回归分析方法的使用条件、局限性和存在的问题。提出了不同性质的变量在回归分析时应区别对待的概念。结合水文观测的实际情况，研究了相关变量观测值均存在误差情况下，以变量的观测误差作权进行回归分析的概念，提出了建立基于最小二乘原理基础上的双加权回归模型，并研究了该模型的解算方法。同时推导了估计参数和预测值的误差估计公式，通过估计参数和模型误差的研究，有助于提高水文变量回归的精度和误差估计水平。     

辽宁省旅游产业结构分析

辽宁作为全国的旅游大省之一,旅游业的发展取得了很大进步,但是在旅游产业结构方面还存在一些阻碍旅游业的健康、快速发展的问题,产业结构有待于进一步调整和优化。分别从市场结构、产品结构、行业结构、区域结构、组织结构等角度分析了辽宁省旅游产业的结构特征,并指明了旅游产业结构中存在的阻碍旅游业健康、快速发展的问题和不足,旨在促进辽宁省旅游产业结构的优化升级。     

Mutual optimization of water utilization structure and industrial structure in arid inland river basins of Northwest China

Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the corresponding industrial structure are unbalanced. We constructed a System Dynamic Model for mutual optimization based on the mechanism of their interaction. This model is applied to the Heihe River Basin where the share of limited water resources among ecosystem, production and human living is optimized. Results show that, by mutual optimization, the water utilization structure and the industrial structures fit in with each other. And the relationships between the upper, middle and lower reaches of the Heihe River Basin can be harmonized. Mutual benefits of ecology, society and economy can be reached, and a sustainable ecology-production-living system can be obtained. This study gives a new insight and method for the sustainable utilization of water resources in arid inland river basins.     

Delaunay方法的改进及其在地下水污染监测网设计中的应用

地下水污染监测网的设计包括取样点在空间上的采样位置和时间上的取样频率这两方面的确定,其目的是为了准确刻画污染羽在含水层中随时间的变化状况。介绍了一种新的基于Delaunay三角形剖分方法用于地下水污染监测网在空间上的去冗余设计。同时,针对Delaunay方法没有考虑含水层参数变化和不能新增必要监测点的缺陷,提出了改进措施。改进的Delaunay方法可以直接与污染物的运移模型耦合,通过获取的含水层参数能够比较好地检验监测网在空间上的去冗余设计效果。实例研究表明,该方法在保证监测精度的基础上,能够找到最优的空间取样位置点,同时与改进前相比,利用该方法得到的地下水污染监测网能更加客观地反映污染物在含水层中的空间分布特征。     

GPFS文件系统原理和模式IO优化方法

GPFS(通用并行文件系统)普遍应用于IBM大规模集群系统中,能够为并行应用程序提供高性能的I/O存取访问。该文介绍了GPFS的原理和工作机制,并以安装在国家气象信息中心的IBM高性能计算机系统为试验平台,初步测试了在实际环境中GPFS的应用情况,在应用程序中对文件访问进行性能优化的方式有2种:①由主任务负责全部文件访问,②通过MPI-IO在GPFS中实现并行文件访问。测试结果表明,GPFS可以提供很好的文件访问支持,但要想获得较高的性能,需要在应用程序中进行深入调试。     

Stochastic management of pump-and-treat strategies using surrogate functions

Typical pump-and-treat (PAT) optimization problems involve design of pumping schemes, while minimizing cost and meeting a set of constraints. Due to scarcity of information about the hydrogeological system, stochastic modeling approaches can be used to assess tradeoffs between optimality and reliability. Using a stochastic approach, the constrained, single-objective problem may be turned into a multiobjective problem by substituting constraint inequalities with an additional objective function (OF) that accounts for the reliability of the PAT process. In this work, two approaches are analyzed: in one case, the additional OF consists of the probability of failure of a given remediation policy; in another, the OF additional is represented by the recourse, namely the penalty cost induced by the violation of constraints. In order to overcome the overwhelming computational cost required by stochastic simulation, surrogate forms of the OFs are introduced. In the test case under investigation, such functions are estimated by a kriging interpolation of the OF over a series of data points obtained from stochastic simulations of flow and transport, and calibrated against stochastic optimization solutions. The analysis of the two approaches for addressing the tradeoff of cost vs. reliability indicates that recourse accounts not only for the frequency of constraint violations, as the probability of failure does, but also for the intensity with which these occur. Ultimately, the recourse method allows considering less restrictive policies, although these may be highly sensitive to the choice of penalty functions.     

多父体杂交演化算法求解约束优化问题

提出了一种求解约束函数优化问题的新算法。设计了3种新的多父体杂交算子。这3种算子都使用了统计信息来决定搜索方向，使算法具有较高的收敛速度，同时又具有互补的特性，使得种群在演化过程中能保持较好的多样性，不容易陷入局部最优。对常见测试函数的数值实验证实了新方法的有效性、通用性和稳健性，其性能优于现有的一些演化算法。