Identification of Fei-Tsui arch dam from both ambient and seismic response data   总被引：1，自引：0，他引：1  

Chin-Hsiung Loh  Tsu-Shiu Wu 《Soil Dynamics and Earthquake Engineering》1996,15(7):465-483

This purpose of this paper is to study the dynamic characteristics of the Fei-Tsui arch dam using the seismic response data and the ambient vibration data. For the identification of dam properties from seismic response data, the multiple inputs from the abutment of the dam to represent the nonuniform excitations of seismic input motion are considered, and the ARX model is applied using the discrete-time linear filtering approach with least-squares approximation to identify the dynamic characteristics of the dam. The system modal dampings, natural frequencies and frequency response functions are identified. A comparison of the identified modal parameters is made among different seismic events. Post-earthquake safety evaluation of the dam can be made based on the identified model. Finally, the ambient vibration test of the dam is performed to identify the mode shapes along the dam crest.  相似文献   

A NEW RECEPTOR MODEL:A DIRECT TRILINEAR DECOMPOSITION FOLLOWED BY A MATRIX RECONSTRUCTION     

PHILIP K.HOPKE 《地理学报(英文版)》1992,(2)

In many cases,monitoring data for ambient airborne particles can be organized in the form of a three-way data table with one way for chemical species,one for sampling periods and one for sites.A directtrilinear decomposition followed by a matrix reconstruction(DTDMR)is developed to analyze such adata table as a whole.The three-way data set is composed into three two-way matrices by a direct trilineardecomposition(DTD).The column vectors of each of the matrices are called‘source profiles’,‘emissionpatterns’and‘site coefficients’respectively.Particulate sources are identified by examining both theirsource profiles and emission patterns.After the sources have been identified,emission patterns and sitecoefficients are used to produce a three-way matrix that gives estimates of mass contributions of sourcesto the samples collected at every site in every period.By simulation study,not only has the method beenverified,but a good indicator has been found that shows the number of factors(i.e.sources)in thesystem.Unlike other receptor models,DTDMR does not require source profile data and does not involvetrial-and-error procedures.Since DTDMR identifies sources based on variations in two dimensions,it hasa higher potential to distinguish two sources that have similar chemical compositions.The DTDMRmodel has provided excellent results with simulated data and has been applied in a real world three-waydata set.  相似文献   

秦巴山区地质灾害发育规律研究——以镇巴县幅为例     

赵力行  范文  柴小庆  李培  南亚林 《地质与资源》1992,29(2):187-195

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X射线粉晶衍射法在片麻岩鉴定与分类中的应用     

邵九龙  迟广成  史雨辰 《地质与资源》1992,29(5):490

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关于滕县煤田太原组的“火山碎屑岩”：与王永平同志商榷   总被引：2，自引：0，他引：2  

房庆华  徐榜荣 《煤田地质与勘探》1992,20(2):6-9

叙述了滕县煤田太原组的沉积特征,分析了主要碎屑矿物的标型特征以及该组砂岩在物质成分、结构及沉积构造等方面与火山碎屑岩的差异,认为滕县煤田太原组基本上没有所谓“火山碎屑岩”。还对火山碎屑岩的命名提出了看法。  相似文献   

模糊识别的隶属原则及其应用     

罗晓峰 《新疆地质》1993,(1)

由于模糊识别之最大隶属原则,在实际应用中存在着某种上程度上的不足。本文提出了加势隶属原则、积势隶属原则及加权加势隶属原则、加权积势隶属原则。以此可综合考虑各种变量因素,并在最大限度上综合利用各种变量因素间的信息,以达到模糊识别的最佳效应。  相似文献   

An overview of toxicant identification in sediments and dredged materials   总被引：1，自引：0，他引：1  

Ho KT  Burgess RM  Pelletier MC  Serbst JR  Ryba SA  Cantwell MG  Kuhn A  Raczelowski P 《Marine pollution bulletin》2002,44(4):286-293

The identification of toxicants affecting aquatic benthic systems is critical to sound assessment and management of our nation's waterways. Identification of toxicants can be useful in designing effective sediment remediation plans and reasonable options for sediment disposal. Knowledge of which contaminants affect benthic systems allows managers to link pollution to specific dischargers and prevent further release of toxicant(s). In addition, identification of major causes of toxicity in sediments may guide programs such as those developing environmental sediment guidelines and registering pesticides, while knowledge of the causes of toxicity which drive ecological changes such as shifts in benthic community structure would be useful in performing ecological risk assessments. To this end, the US Environmental Protection Agency has developed tools (toxicity identification and evaluation (TIE) methods) that allow investigators to characterize and identify chemicals causing acute toxicity in sediments and dredged materials. To date, most sediment TIEs have been performed on interstitial waters. Preliminary evidence from the use of interstitial water TIEs reveals certain patterns in causes of sediment toxicity. First, among all sediments tested, there is no one predominant cause of toxicity; metals, organics, and ammonia play approximately equal roles in causing toxicity. Second, within a single sediment there are multiple causes of toxicity detected; not just one chemical class is active. Third, the role of ammonia is very prominent in these interstitial waters. Finally, if sediments are divided into marine or freshwater, TIEs perforMed on interstitial waters from freshwater sediments indicate a variety of toxicants in fairly equal proportions, while TIEs performed on interstitial waters from marine sediments have identified only ammonia and organics as toxicants, with metals playing a minor role. Preliminary evidence from whole sediment TIEs indicates that organic compounds play a major role in the toxicity of marine sediments, with almost no evidence for either metal or ammonia toxicity. However, interpretation of these results may be skewed because only a small number of interstitial water (n = 13) and whole sediment (n = 5) TIEs have been completed. These trends may change as more data are collected.  相似文献   

Efficient seismic response data storage and transmission using ARX model‐based sensor data compression algorithm     

Yunfeng Zhang  Jian Li 《地震工程与结构动力学》2006,35(6):781-788

This paper presents a linear predictor (LP)‐based lossless sensor data compression algorithm for efficient transmission, storage and retrieval of seismic data. Auto‐Regressive with eXogenous input (ARX) model is selected as the model structure of LP. Since earthquake ground motion is typically measured at the base of monitored structures, the ARX model parameters are calculated in a system identification framework using sensor network data and measured input signals. In this way, sensor data compression takes advantage of structural system information to maximize the sensor data compression performance. Numerical simulation results show that several factors including LP order, measurement noise, input and limited sensor number affect the performance of the proposed lossless sensor data compression algorithm concerned. Generally, the lossless data compression algorithm is capable of reducing the size of raw sensor data while causing no information loss in the sensor data. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

Prediction error method‐based second‐order structural identification algorithm in stochastic state space formulation     

Jian Li  Yunfeng Zhang 《地震工程与结构动力学》2006,35(6):761-779

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System identification of a concrete arch dam and calibration of its finite element model     

S. W. Alves  J. F. Hall 《地震工程与结构动力学》2006,35(11):1321-1337

A magnitude 4.3 earthquake occurred near Pacoima Dam on 13 January 2001. An accelerometer array that had been upgraded after the Northridge earthquake recorded the motion with 17 channels on the dam and the dam–foundation interface. Using this data, properties of the first two modes are found from a system identification study. Modal properties are also determined from a forced vibration experiment performed in 2002 and indicate a significantly stiffer system than is estimated from the 2001 earthquake records. The 2001 earthquake, although small, must have induced temporary nonlinearity. This has implications for structural health monitoring. The source of the nonlinear behaviour is believed to be loss of stiffness in the foundation rock. A finite element model of Pacoima Dam is constructed and calibrated to match modal properties determined from the system identification study. A dynamic simulation of the 2001 earthquake response produces computed motions that agree fairly well with the recorded ones. Copyright © 2006 John Wiley & Sons, Ltd.  相似文献