Laplace-transform analytic element solution of transient flow in porous media

A Laplace-transform analytic element method (LT-AEM) is described for the solution of transient flow problems in porous media. Following Laplace transformation of the original flow problem, the analytic element method (AEM) is used to solve the resultant time-independent modified Helmholtz equation, and the solution is inverted numerically back into the time domain. The solution is entirely general, retaining the mathematical elegance and computational efficiency of the AEM while being amenable to parallel computation. It is especially well suited for problems in which a solution is required at a limited number of points in space–time, and for problems involving materials with sharply contrasting hydraulic properties. We illustrate the LT-AEM on transient flow through a uniform confined aquifer with a circular inclusion of contrasting hydraulic conductivity and specific storage. Our results compare well with published analytical solutions in the special case of radial flow.     

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

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.     

利用MATLAB实现图像处理与分析

本文通过对图像的均衡操作、二值图像的处理、小波去噪等实例，介绍了MATLAB进行图像处理和分析的实用方法与技巧，它对各种软钉包、进行图像处理和分析等，提供了高效便捷的方法。     

Hilbert-Huang变换在密频结构阻尼识别中的应用

Hilbert—Huang变换是一种新的数据处理方法，由经验模分解(Empirical Mode Decomposition)技术及Hilbert变换两部分组成。本文研究此方法对于密频结构阻尼识别的应用。首先对于两自由度系统模型，说明该方法用于阻尼识别的步骤。进而研究存在频率密集现象的高层建筑的阻尼识别问题。上述结果与理论值及由半功率带宽法的识别值进行了比较，对比显示Hilbert．Huang方法较传统方法具有良好的识别密频结构阻尼的性能，适用于大型结构的系统识别。     

沈阳2×200兆瓦低温核供热站厂址基准地面运动参数的确定

本文在综合厂址、近区域及区域地震地质资料的基础上,根据有关规范的要求,采用地震构造法、最大历史地震法和概率法分别计算了沈阳2×200兆瓦低温核供热站厂址的极限安全地震动SL-2,计算结果分别为200Gal、125Gal和170Gal。取三者最大值,厂址SL-2应当是200gal。厂址基岩地面运动SL-2水平向加速度反应谱取确定性法和概率法计算曲线的外包线作为用于厂址的基岩加速度反应谱。     

小波变换在识别储层流体性质中的应用

根据小波变换的特点提出一种识别储层流体的新方法. 本文假设测井所得的信号为地层微观孔隙结构、地层流体性质及岩性和岩相等各部分的综合贡献之和，不同的储层中小波分析的能量谱特征不同，因而通过对已知储层模型进行小波能量谱分析，可得到各种储层的特征能量谱，根据这些储层特征能量谱就可以对待划分的储层段进行储层流体性质判别.     

DB16智能大型岩土工程无损检测仪及其应用

介绍一种智能大型岩土工程无损检测仪及其应用。该仪器以大功率稀土超磁致伸缩换能器作震源，以与计算机并行接口连接的高速数据传输的16通道DB16数据采集系统进行声波采集，以高灵敏度的低频压电陶瓷(PZT)换能器作接收，用声波层析成像(CT)技术进行数据处理，检测结果用彩色等高图表示。该仪器从参数的设置到数据的采集、保存、CT数据的处理、CT成像等全在一专用软件中完成，操作方便快捷。给出了利用本仪器对某大型水库的泄流深孔挑流鼻坎混凝土浇注质量无损检测的应用实例。     

地震资料小波剖面制作系统

对不同的小波变换算法和小波基函数进行了研究，得到了适用于地震资料处理的最佳小波基函数，并用Visual C 语言开发了基于Windows操作平台下的地震资料小波剖面制作系统。利用小波剖面制作系统和最佳小波基函数对煤田实际地震资料进行了处理，取得了令人满意的地质效果。     

西安市近50年来气候变化多时间尺度分析

利用Ｍｏｒｌｅｔ小波变换法分析了西安市近５０年月平均气温距平和月降水量距平变化的多层次时间尺度结构，发现西安市气候变化除１年的自然周期变化和２０－４０年尺度范围的周期变化信号在全时间域中都强小，其它时间尺度的周期变化在时间域中分布很不均匀，具有很强的局部化特征，西安市月平均气温距平变化主要表现为随机振荡，无特征尺度，而月降水量距平变化则有显著的４～５月的时间尺度，西安市气候变化受地理条件的影响较大