Robust H∞ control for aseismic structures with uncertainties in model parameters

This paper presents a robust H∞ output feedback control approach for structural systems with uncertainties in model parameters by using available acceleration measurements and proposes conditions for the existence of such a robust output feedback controller. The uncertainties of structural stiffness, damping and mass parameters are assumed to be norm-bounded. The proposed control approach is formulated within the framework of linear matrix inequalities, for which existing convex optimization techniques, such as the LMI toolbox in MATLAB, can be used effectively and conveniently. To illustrate the effectiveness of the proposed robust H∞ strategy, a six-story building was subjected both to the 1940 El Centro earthquake record and to a suddenly applied Kanai-Tajimi filtered white noise random excitation. The results show that the proposed robust H∞ controller provides satisfactory results with or without variation of the structural stiffness, damping and mass parameters.     

光电测距仪测距标准差校准结果的不确定度评定

介绍光电测距仪的测距标准差计量校准方法并对校准结果的不确定度进行了评定,给出了测距仪的测距标准差校准结果的表示形式和20台测距仪的测距标准差校准结果及测量不确定度.     

矢量GIS数据位置精度评价

论述了采用野外测量法评价矢量GIS数据位置精度的过程，为精确评价位置精度提出了相应的质量控制措施，讨论了必要的检测点数目、检测点选择等，并对该方法的适用范围作了说明。     

一种基于GIS的矿产资源潜力评价的自动制图模型

在基于GIS技术的矿产资源评价工作中,矿产资源潜力评价的自动制图模型通常用来统计综合多源地学信息以便自动圈定成矿远景靶区。在本文中,笔者以人工智能研究领域中的一种不确定推理模型——确定性理论为基础,提出了一种新的矿产资源潜力评价的自动制图模型——合成有矿可信度模型。该模型可以根据研究区各种成矿有利和不利证据的空间分布图,统计生成对应于每一种证据的有矿可信度栅格图,然后,按照特定的有矿可信度合成规则,将所有的有矿可信度栅格图统计综合生成合成有矿可信度栅格图。以该图为依据,可以把研究区内合成有矿可信度相对较高的成矿远景区圈定出来。也可以生成研究区合成有矿可信度等值线图。应用该模型预测了新疆北部多拉纳萨依—阿舍勒地区的多金属成矿远景,并将预测结果与证据加权模型预测结果进行了比较,两种模型的预测结果基本相似,证明了该模型的有效性和实用性。     

在砂土液化的危险性评价中确定性与不确定性方法的应用研究

地震导致的砂土液化具有很大的随机性。据此 ,提出了评价砂土液化危险性的确定性与不确定性两种方法。确定性方法是以液化指数为变量的多因子判别分析方法 ,不确定性方法是概率分析法 ,即用概率密度函数判断砂土液化灾害的期望损失值。     

地球化学标准物质标准不确定度估算探讨

在用高精度分析方法经检验证明样品均匀知识性和稳定性良好的条件下，可以以定值测试的不确定度表示标准物质标准值的不确定度。在较全面分析了地球化学标准物质定值测试的误差后，提出以测试结果平均值的标准偏差算得A类不确定度、以定值方法间的偏倚估计B类不确定度，以两者的合成值作为地理化学标准物质不确定度的估计值，并用其试算了部分已有地球化学标准物质有代表性元素的不确定度，结果表明提出的不确定度估算方法是可信的。     

Implications of model uncertainty for the mapping of hillslope‐scale soil erosion predictions

An integrated modelling approach (MIRSED) which utilizes the process‐based soil erosion model WEPP (Water Erosion Prediction Project) is presented for the assessment of hillslope‐scale soil erosion at five sites throughout England and Wales. The methodology draws upon previous uncertainty analysis of the WEPP hillslope soil erosion model by the authors to qualify model results within an uncertainty framework. A method for incorporating model uncertainty from a range of sources is discussed as a first step towards using and learning from results produced through the GLUE (Generalized Likelihood Uncertainty Estimation) technique. Results are presented and compared to available observed data, which illustrate that levels of uncertainty are significant and must be taken into account if a meaningful understanding of output from models such as WEPP is to be achieved. Furthermore, the collection of quality, observed data is underlined for two reasons: as an essential tool in the development of soil erosion modelling and also to allow further constraint of model uncertainty. Copyright © 2001 John Wiley & Sons, Ltd.     

Effects of magnitude accuracy and complete－ness data on seismic hazard parameters

Ｅｆｆｅｃｔｓｏｆｍａｇｎｉｔｕｄｅａｃｃｕｒａｃｙａｎｄｃｏｍｐｌｅｔｅ┐ｎｅｓｄａｔａｏｎｓｅｉｓｍｉｃｈａｚａｒｄｐａｒａｍｅｔｅｒｓＨＵＩ－ＣＨＥＮＧＳＨＡＯ（邵辉成），ＪＩＡ－ＳＨＵＸＩＥ（谢家树），ＰＩＮＧＷＡＮＧ（王平）ａｎｄＹＡ－Ｘ...     

地震危险性不确定性分析中专家意见的合理综合

首先回顾了不确定性分析中常用的专家意见综合方法。然后在此基础上,提出了一新的简便易行的综合方法,并利用实例计算比较了三种综合方法的结果差异。所提出的方法在地震危险性不确定性分析专家意见的合理综合中具有较为实用的价值。     

Evaluation of safety of hydraulic structures affected by migrating pits

Because it can be carried by flowing water, a sand/gravel pit on the river bed could migrate downstream. Consequently, the presence of pits on river beds could pose a safety threat to in-stream hydraulic structures such as bridge piers. A pit migration model can be used to predict progressive changes of pit geometry as it migrates downstream. However, due to the existence of many uncertainties, the maximum pit depth cannot be predicted with certainty. This paper adopted a simple pit migration model and evaluated the uncertainty associated with the calculated maximum pit depth. Such information is essential for evaluating the probability that a migrating pit could pose a safety threat to a downstream hydraulic structure. Three reliability analysis techniques were applied and their performances were compared.