Parameter identification for lined tunnels in a viscoplastic medium   总被引：2，自引：0，他引：2  

B. Lecampion  A. Constantinescu  D. Nguyen Minh 《国际地质力学数值与分析法杂志》2002,26(12):1191-1211

This paper is dedicated to the identification of constitutive parameters of elasto‐viscoplastic constitutive law from measurements performed on deep underground cavities (typically tunnels). This inverse problem is solved by the minimization of a cost functional of least‐squares type. The exact gradient is computed by the direct differentiation method and the descent is done using the Levenberg–Marquardt algorithm. The method is presented for lined or unlined structures and is applied for an elastoviscoplastic constitutive law of the Perzyna class. Several identification problems are presented in one and two dimensions for different tunnel geometries. The used measurements have been obtained by a preliminary numerical simulation and perturbed with a white noise. The identified responses match the measurements. We also discuss the usage of the sensitivity analysis of the system, provided by the direct differentiation method, for the optimization of in situ monitoring. The sensitivity distribution in space and time assess the location of the measurements points as well as the time of observation needed for reliable identification. Copyright © 2002 John Wiley & Sons, Ltd.  相似文献   

沃尔什变换在测井曲线分层中的应用研究   总被引：7，自引：0，他引：7  

王祝文  刘菁华 《地质与勘探》2003,39(4):81-84

在岩性复杂的变质岩地区实施的大陆科学钻探，是通过采集井下不同深度岩石物理化学性质和物理场的各种数据，研究地壳特征及演化过程的各种科学问题。利用测井资料达到岩性剖面的重建是大陆科学钻探的重要目的之一。章利用沃尔什变换对钻孔岩性剖面进行分层，大重建的岩性剖面结果可以看出，该方法对于变质岩地区不同岩性的划分还是比较有效的。  相似文献   

测井资料交会图法在火山岩岩性识别中的应用   总被引：22，自引：1，他引：22  

赵建  高福红 《世界地质》2003,22(2):136-140

在火山岩储层研究中，岩性识别显得越来越重要。在评述目前常用的岩性识别方法后，重点以测井资料交会图法为例，以松辽盆地徐家围子断陷升平气田深层白垩系营城组火山岩为对象，优选出密度测井、自然伽玛测井、声波测井、电阻率、钍铀等测井项目的数据进行交会，编制出测井曲线交会图版，并以此为依据识别出该区的火山岩主要岩性有：安山岩、玄武岩、流纹岩和凝灰岩等。识别结果与实际情况相吻合。  相似文献   

弹性地基接缝板模量反演和地基脱空判定   总被引：7，自引：0，他引：7  

王陶  王复明  王钊 《岩土力学》2003,24(2):233-236

用有限单元法建立了可考虑接缝和地基脱空的弹性地基板位移计算模型。并根据系统识别原理，建立了接缝地基板弹性模量的反演分析方法。最终提出了利用FWD实测板中弯沉盆数据反演面板与地基弹性模量、根据板角(板边)弯沉值判定地基脱空面积的迭代方法。  相似文献   

区域土壤环境地球化学研究——异常成因判别·环境质量·污染程度评价的思路与方法   总被引：8，自引：2，他引：8  

周国华  刘占元 《物探与化探》2003,27(3):223-226

从概念内涵和应用目标出发,认为土壤环境地球化学质量评价应该分为质量现状和污染程度两个方面.在此基础上探讨了区域地球化学资料在土壤环境现状质量评价、异常成因识别、污染元素累积速率和土壤污染程度评价研究的基本思路和方法.  相似文献   

Identification of soil degradation during earthquake excitations by Bayesian inference     

Jianye Ching  Steven D. Glaser 《地震工程与结构动力学》2003,32(6):845-869

A Bayesian inference approach is introduced to identify soil degradation behaviours at four downhole array sites. The approach of inference is based on a parametric time‐varying infinite impulse response filter model. The approach is shown to be adaptive to the changes of filter parameters and noise amplitudes. Four sites, including the Lotung (Taiwan), Chiba (Japan), Garner Valley (California), and Treasure Island (California) sites with downhole seismic arrays are analysed. Our results show two major types of soil degradation behaviour: the well‐known strain‐dependent softening, and reduction in stiffness that is not instantaneously recoverable. It is also found that both types of soil degradation are more pronounced in sandy soils than in clayey soils. The mechanism for the second type of soil degradation is not yet clear to the authors and suggested to be further studied. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献   

System identification of instrumented bridge systems     

Yalin Arici  Khalid M. Mosalam 《地震工程与结构动力学》2003,32(7):999-1020

Several recorded motions for seven bridge systems in California during recent earthquakes were analysed using parametric and non‐parametric system identification (SI) methods. The bridges were selected considering the availability of an adequate array of accelerometers and accounting for different structural systems, materials, geometry and soil types. The results of the application of SI methods included identification of modal frequencies and damping ratios. Excellent fits of the recorded motion in the time domain were obtained using parametric methods. The multi‐input/single‐output SI method was a suitable approach considering the instrumentation layout for these bridges. Use of the constructed linear filters for prediction purposes was also demonstrated for three bridge systems. Reasonable prediction results were obtained considering the various limitations of the procedure. Finally, the study was concluded by identifying the change of the modal frequencies and damping of a particular bridge system in time using recursive filters. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献   

System identification of linear structures based on Hilbert–Huang spectral analysis. Part 2: Complex modes     

Jann N. Yang  Ying Lei  Shuwen Pan  Norden Huang 《地震工程与结构动力学》2003,32(10):1533-1554

A method, based on the Hilbert–Huang spectral analysis, has been proposed by the authors to identify linear structures in which normal modes exist (i.e., real eigenvalues and eigenvectors). Frequently, all the eigenvalues and eigenvectors of linear structures are complex. In this paper, the method is extended further to identify general linear structures with complex modes using the free vibration response data polluted by noise. Measured response signals are first decomposed into modal responses using the method of Empirical Mode Decomposition with intermittency criteria. Each modal response contains the contribution of a complex conjugate pair of modes with a unique frequency and a damping ratio. Then, each modal response is decomposed in the frequency–time domain to yield instantaneous phase angle and amplitude using the Hilbert transform. Based on a single measurement of the impulse response time history at one appropriate location, the complex eigenvalues of the linear structure can be identified using a simple analysis procedure. When the response time histories are measured at all locations, the proposed methodology is capable of identifying the complex mode shapes as well as the mass, damping and stiffness matrices of the structure. The effectiveness and accuracy of the method presented are illustrated through numerical simulations. It is demonstrated that dynamic characteristics of linear structures with complex modes can be identified effectively using the proposed method. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献   

A neural network approach for structural identification and diagnosis of a building from seismic response data     

C. S. Huang  S. L. Hung  C. M. Wen  T. T. Tu 《地震工程与结构动力学》2003,32(2):187-206

This work presents a novel procedure for identifying the dynamic characteristics of a building and diagnosing whether the building has been damaged by earthquakes, using a back‐propagation neural network approach. The dynamic characteristics are directly evaluated from the weighting matrices of the neural network trained by observed acceleration responses and input base excitations. Whether the building is damaged under a large earthquake is assessed by comparing the modal parameters and responses for this large earthquake with those for a small earthquake that has not caused this building any damage. The feasibility of the approach is demonstrated through processing the dynamic responses of a five‐storey steel frame, subjected to different strengths of the Kobe earthquake, in shaking table tests. Copyright © 2002 John Wiley & Sons, Ltd.  相似文献   

System identification of the Vincent Thomas suspension bridge using earthquake records     

Andrew W. Smyth  Jin‐Song Pei  Sami F. Masri 《地震工程与结构动力学》2003,32(3):339-367

The Vincent Thomas Bridge in the Los Angeles metropolitan area, is a critical artery for commercial traffic flow in and out of the Los Angeles Harbor, and is at risk in the seismically active Southern California region, particularly because it straddles the Palos Verdes fault zone. A combination of linear and non‐linear system identification techniques is employed to obtain a complete reduced‐order, multi‐input–multi‐output (MIMO) dynamic model of the Vincent Thomas Bridge based on the dynamic response of the structure to the 1987 Whittier and 1994 Northridge earthquakes. Starting with the available acceleration measurements (which consists of 15 accelerometers on the bridge structure and 10 accelerometers at various locations on its base), an efficient least‐squares‐based time‐domain identification procedure is applied to the data set to develop a reduced‐order, equivalent linear, multi‐degree‐of‐freedom model. Although not the main focus of this study, the linear system identification method is also combined with a non‐parametric identification technique, to generate a reduced‐order non‐linear mathematical model suitable for use in subsequent studies to predict, with good fidelity, the total response of the bridge under arbitrary dynamic environments. Results of this study yield measurements of the equivalent linear modal properties (frequencies, mode shapes and non‐proportional damping) as well as quantitative measures of the extent and nature of non‐linear interaction forces arising from strong ground shaking. It is shown that, for the particular subset of observations used in the identification procedure, the apparent non‐linearities in the system restoring forces are quite significant, and they contribute substantially to the improved fidelity of the model. Also shown is the potential of the identification technique under discussion to detect slight changes in the structure's influence coefficients, which may be indicators of damage and degradation in the structure being monitored. Difficulties associated with accurately estimating damping for lightly damped long‐span structures from their earthquake response are discussed. The technical issues raised in this paper indicate the need for added spatial resolution in sensor instrumentation to obtain identified mathematical models of structural systems with the broadest range of validity. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献