黏弹性地基板在矩形变速荷载作用下的振动分析

利用双重Fourier变换方法,首先推导得到了黏弹性地基板在多个矩形变速移动荷载作用下的动力响应一般解。然后以实际刚性路面为算例,采用快速傅立叶变换(FFT)方法对匀变速荷载作用下的板的动挠度进行了数值求解。与经典解进行了比较,显示出了较好的一致性。利用数值结果重点分析了矩形移动荷载的加速度、减速度以及初速度对板的动态挠度的影响,发现移动荷载加速度、减速度及初速度对黏弹性地基板动力响应的影响十分明显,随着加速度（减速度）和初速度的增大,板的动挠度在关键速度时明显减小;板的动挠度出现峰值的位置对应着不同的加速度（减速度）和初速度,但却对应着相同的关键速度。     

Karhunen–Loève spectral analysis in multiresolution decomposition

In this work we develop a method for pinpointing the scales in a multiresolution decomposition where coherent structures appear. A sequence of images yielded from the wavelet multiresolution analysis of seismic signals are analyzed in the Karhunen–Loève (KL) space. Using KL decomposition we distinguish two coherent structures in the scale–images: the ground roll and the hyperbolic lines characteristic of geologic layers. Moreover, the KL spectrum also points out the high frequency noise. In this way the method allow us to split three energy mode regimes in the data and, as a consequence, to select the relevant geologic information. The method can be extended to other problems where coherent structures need to be recognized.      

Modeling of Wave Dispersion Using Continuous Wavelet Transforms II: Wavelet-based Frequency-velocity Analysis

In this paper, we show how to estimate the phase velocities of multi-mode signals as present in 2-D shallow seismic surveys along a seismic line with the help of a method that is based on the deformation of the wavelet spectra of the seismic traces. In analogy with frequency-wavenumber (f–k) analysis, we perform “frequency-velocity” analysis using the correlations between phases of the wavelet spectra. Our method has two tuning parameters — the parameter of an analyzing wavelet and the parameter of a threshold operation. Numerical and experimental examples are presented to illustrate how the method accurately extracts the phase velocity from single- and multi-mode signals.     

Transform methods for frequency‐dependent complex stiffness to time domain using real or imaginary data only

The author has studied the transform method of complex stiffness, which is strongly dependent on frequency, to the time domain. In this paper, new transform methods that use only the real part or the imaginary part data are proposed. By applying them to example problems, it is confirmed that the accuracy of the proposed methods is almost high in both causal and noncausal cases. These methods can also be thought as a standby for the Hilbert transform, because the undefined part is easily calculated by the recovering complex function from the obtained impulse response. Copyright © 2007 John Wiley & Sons, Ltd.     

双参数黏弹性地基上连续配筋混凝土路面振动参数分析

以连续配筋混凝土路面（CRCP）近年来应用比较广泛的路面结构形式为研究对象,采用考虑地基压缩系数和水平剪切系数的双参数地基模型,建立了考虑地基土体滞回阻尼的黏弹性地基上CRCP的振动微分方程,运用三角级数和Fourier变换得到了简谐、矩形均布荷载作用下路面竖向位移的解答,并利用Fourier逆变换得到了数值结果,较为全面的分析了荷载速度、频率、路面配筋率、板厚以及地基参数对板的动力响应的影响。研究结果可为路面动力响应分析及连续配筋混凝土路面的质量评价提供参考。     

基于小波变换的声纳图像边缘特征检测研究

声纳图像的边缘特征检测是其目标识别技术的重要技术基础。声纳图像背景复杂、噪声污染严重,而传统的边缘检测方法对图像噪声非常敏感,所以针对这一特点,利用小波变换易于消除噪声、运算方便的数学特征,提出了一种基于小波变换的声纳图像边缘特征检测算法。由计算机仿真结果可以得到,与传统的边缘检测算法相比,此算法在有效地抑制噪声的同时,还可以得到较高的边缘定位精度,能够很好地检测到原始声纳图像的边缘。     

小波分析法在海拉尔地震台前兆数据处理中的应用研究

应用小波变换法可对不同频率成分进行分解的特性,选取d b4小波基函数,尺度为1～8阶,对海拉尔地震台前兆资料进行分析研究.结果表明,应用小波变换方法可较容易地识别和剔除气压、场地环境干扰等影响海拉尔地震台伸缩仪观测资料精度的诸多因素,气压和场地环境干扰在小波细节分解d3～d6部分异常显著;小波变换法对同震效应的识别、提...     

Background Error Covariance Statistics of Hydrometeor Control Variables Based on Gaussian Transform

Use of data assimilation to initialize hydrometeors plays a vital role in numerical weather prediction(NWP).To directly analyze hydrometeors in data assimilation systems from cloud-sensitive observations,hydrometeor control variables are necessary.Common data assimilation systems theoretically require that the probability density functions(PDFs)of analysis,background,and observation errors should satisfy the Gaussian unbiased assumptions.In this study,a Gaussian transform method is proposed to transform hydrometeors to more Gaussian variables,which is modified from the Softmax function and renamed as Quasi-Softmax transform.The Quasi-Softmax transform method then is compared to the original hydrometeor mixing ratios and their logarithmic transform and Softmax transform.The spatial distribution,the non-Gaussian nature of the background errors,and the characteristics of the background errors of hydrometeors in each method are studied.Compared to the logarithmic and Softmax transform,the Quasi-Softmax method keeps the vertical distribution of the original hydrometeor mixing ratios to the greatest extent.The results of the D′Agostino test show that the hydrometeors transformed by the Quasi-Softmax method are more Gaussian when compared to the other methods.The Gaussian transform has been added to the control variable transform to estimate the background error covariances.Results show that the characteristics of the hydrometeor background errors are reasonable for the Quasi-Softmax method.The transformed hydrometeors using the Quasi-Softmax transform meet the Gaussian unbiased assumptions of the data assimilation system,and are promising control variables for data assimilation systems.     

一种基于平稳小波变换的海底管线边缘检测方法

海底影像存在着对比度低、噪声污染严重、图像质量差等问题,采用传统算子的海底管线边缘图像中含有大量的无用和断裂边缘信息。文中将多尺度边缘检测和匹配跟踪相结合,提出利用平稳小波变换的海底管线边缘检测方法;在提取边缘的同时利用匹配跟踪手段对噪声干扰进行抑制,提高图像目标边缘检测质量。通过对海底管线和测试图像边缘检测实验表明,文中所提出的方法在抑制图像噪声的干扰、提高水下目标边缘完整性方面明显优于传统的边缘提取算子,证明该算法的有效性。     

激光掩星探测大气UTLS温度和水汽的方法及仿真

以高精度和高垂直分辨率探测大气区间对流层顶—平流层底UTLS (Upper Troposphere/Lower Stratosphere,5—35 km)的温度和水汽廓线是提高大气条件变化监测水平的关键,而利用激光掩星方法同时探测温度和水汽则是对现有探测技术的重要补充。本文研究了激光掩星协同探测和反演温度和水汽分子数密度的方法,其中重点研究了双吸收波长近红外激光反演温度的方法,具体为从近红外波段氧气吸收光谱中,选择2个不同跃迁能级对应的特征吸收峰,在每个吸收峰附近各选出1个吸收线,利用2个吸收线对应的双吸收波长激光以及参考线对应波长激光进行掩星探测,进而由探测数据反演出温度。整个温度和水汽协同反演步骤是先反演温度廓线,然后由温度廓线以及5 km参考高度处的压强先验值计算得到压强廓线,最后在温度和压强廓线基础上,结合水汽单吸收波长和参考波长激光掩星数据,反演得到水汽分子数密度廓线。此外,本文对探测和反演过程进行了模拟仿真,通过在近红外波段选择合适的氧气吸收波长和水汽吸收波长,模拟得到掩星透过率数据,以此反演得到温度和水汽分子数密度廓线。并通过对整个过程的分析,明确了反演过程中的误差项及其...