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 Considering the uncertain property of measured mode data and the prior constrained information of variables, an interval inversion analysis model was built to identify the vibration parameters of the concrete dam and the rock basement by using the interval analysis method. The constrained variable metric algorithm was used to solve the present model to obtain the intervals of the parameters. The present process was inspected by using the incomplete measured data of the concrete gravity dam... Considering the uncertain property of measured mode data and the prior constrained information of variables, an interval inversion analysis model was built to identify the vibration parameters of the concrete dam and the rock basement by using the interval analysis method. The constrained variable metric algorithm was used to solve the present model to obtain the intervals of the parameters. The present process was inspected by using the incomplete measured data of the concrete gravity dam under the condition of the empty reservoir. Numerical results show that the intervals of the elastic modulus of the dam concrete and the rock basement could be reliably identified by using the first order vibration mode values at several fixed points in the dam. The present process in this paper is of a general method and can be used to identify the vibration parameters of structures.  考虑模态观测数据的不确定性 ,引入不确定问题求解的区间分析思想 ,建立了利用先验约束条件的混凝土重力坝动态参数的区间反演模型 ;并采用约束变尺度方法求解该反演模型获得待求参数的区间范围 .以某大坝空库情形为例 ,在振动观测数据不完全的条件下 ,对该方法进行了考察 .结果表明 ,在只有一阶圆频率和几个固定点处有一阶振型观测数据的情况下 ,可以可靠地识别出坝体混凝土和基础岩石的动弹性模量所在区间范围 ;该方法具有一般性 ,可以应用于一般结构振动参数识别问题  The methods of structural damage detection based on measured dynamic characteristics are briefly reviewed. The procedures for identifying the location and magnitude of structural damage by using different approaches including the traditional Modal Sensitivity Method, Neural Networks Method and Genetic Algorithm are described respectively. Some aspects of structural damage assessment such as the problem of incomplete measured data and robustness of detection, as well as the factors affecting the computational... The methods of structural damage detection based on measured dynamic characteristics are briefly reviewed. The procedures for identifying the location and magnitude of structural damage by using different approaches including the traditional Modal Sensitivity Method, Neural Networks Method and Genetic Algorithm are described respectively. Some aspects of structural damage assessment such as the problem of incomplete measured data and robustness of detection, as well as the factors affecting the computational efficiency and solution convergence are considered. Merits and defects of these proposed methods are discussed and some problems needed to be solved in the future are also pointed out by comparison of numerical results of an actual 5 story steel frame.  对目前关于结构损伤检测的基本方法进行了回顾 ,详细地介绍了现有几种有效的基于结构动态特性测量值的损伤检测方法 (包括传统的敏感性分析法、神经网络法和遗传算法 )的基本步骤 ,讨论了这些方法在工程运用中存在的一些实际问题 ,如不完整的测量值、方法的鲁棒性、损伤检测的计算效率和收敛性等 .最后 ,通过对实际五层钢框架结构的层间刚度识别说明了这几种主要方法的优缺点 ,提出了今后该领域的研究方向 .  Combined with engineering practices of DAS and considering the situation that in many distribution networks onlyFTUs are configured, but not the TTUs, a new GIS and sectional FTU based calculation method for transmission losses indistribution networks is put forward in which by use of the load capacity and the measured data of FTU the network loss calculation originally based on the feeders is changed into that based onsections. This method not only can remedy the shortcoming of the insufficient... Combined with engineering practices of DAS and considering the situation that in many distribution networks onlyFTUs are configured, but not the TTUs, a new GIS and sectional FTU based calculation method for transmission losses indistribution networks is put forward in which by use of the load capacity and the measured data of FTU the network loss calculation originally based on the feeders is changed into that based onsections. This method not only can remedy the shortcoming of the insufficient number of TTUs, but also can improve the calculation accuracy and the ability of managing and analyzing various kinds of network losses. Meanwhile, a sectional topological analyzingmethod based on GIS is put forward which makes topological analysis and network loss calculation relatively independent and the structure of program clearer. The presented method can also process incomplete measured data.  结合配电自动化的工程实际问题,针对很多配电系统只装设馈线终端单元(FTU)而欠缺配变终端单元(TTU)的情况,提出了一种基于地理信息系统(GIS)和区间FTU的配电网网损计算方法。该方法利用馈线区间FTU的量测数据和负荷容量,把原来基于馈线的网损计算改进为按区间进行计算的算法,既克服了TTU装设不完全的问题,又提高了计算精度和对各类网损的分析管理能力。文中还提出了一种基于GIS的区间拓扑分析方法,使拓扑分析与网损计算具有相对的独立性,程序结构更清晰,并具有对不完整量测数据的处理能力。   << 更多相关文摘 
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