Eight-node conforming straight-side quadrilateral element with high-order completeness (QH8-C1)

A new eight-node conforming quadrilateral element with high-order completeness, denoted as QH8-C1, is proposed in this article. First, expressions for the interpolation displacement function satisfying the requirements for high-order completeness in the global coordinate system are constructed. Second, the displacement function expression in global coordinates is transformed into isoparametric coordinates, and the relationships between the two series of coefficients for the two kinds of displacement function expressions are found. Third, the displacement function expression is modified to satisfy the requirements of nodal freedom and interelement boundary continuity. The key to the new element construction is the derivation of the linear relationship expressions among 12 coefficients of element displacement interpolation polynomials in the global and isoparametric coordinate systems. As a result, the relationship between quadratic completeness and interelement continuity is explicitly given, and a proof of the completeness and the continuity was conducted to theoretically guarantee the validity of the derivation results. Furthermore, in order to verify the correctness of the theoretical work, nine numerical examples were performed. The computation results from these examples demonstrate that QH8-C1 exhibited excellent performance, including high simulation accuracy, fast convergence, insensitivity to mesh distortion, and monotonic convergence.     

桩–土–斜拉桥动力相互作用体系振动反应特性试验研究

大跨斜拉桥结构自振频率和阻尼较低,其地震响应可能受桩基础和场地土特性的影响较大,然而目前为止,由于试验条件和技术所限,尚缺乏相关的包括桩基础、场地土和上部结构在内的全模型振动台试验研究。以一座试设计的主跨1400 m超大跨斜拉桥为原型,设计并完成了一座几何相似比为1/70,且包括群桩、人工土和上部结构在内的试验模型,采用多点振动台试验技术,研究了不同加速度峰值和不同频率成分地震作用下桩–土–斜拉桥动力相互作用体系的振动反应特性。试验结果表明:桩–土–结构相互作用对斜拉桥地震响应产生影响,其影响程度与地震输入频谱特性密切相关;在纵向一致激励下,桩–土–结构相互作用受地震动加速度峰值的影响不明显,在横向一致激励下,桩–土–结构相互作用随地震动加速度峰值的增大而减小;主塔高阶振型对其地震响应的贡献明显;地震输入频谱特性影响桩–土–斜拉桥动力相互作用体系的地震响应,特别是在具有丰富长周期成分的Mexico City波作用下主梁竖向地震响应显著增大。     

基于分数阶Fourier变换累积量的目标检测算法

传统的信号检测和噪声分离方法只限于在时域或是频域进行,如果信号和背景噪声有很强的时频耦合,就难以在时频域得到好的检测结果。对此提出了分数阶Fourier变换累积量算法,该算法具有解除时频耦合和抑制噪声的特性,当选择合适的旋转角度使之与处理信号相匹配,就可以在分数阶Fourier域获得较好的检测结果。仿真结果表明,分数阶Fourier累积量算法的检测性能优于分数阶Fourier变换和4阶累积量算法,展现了分数阶Fourier变换累积量算法有优越的信号处理性能。     

基于高阶累积量短波通信电台细微特征提取与分析

首先介绍了高阶统计量基本概念,分析了通信电台的高阶统计量特征,并对几种常见短波通信信号的高阶矩和高阶累积量进行了计算分析;仿真结果表明：高阶统计量可以作为一类有效的特征参数,适用于短波通信信号特征识别研究.     

Thermal buckling and postbuckling analysis of piezoelectric FGM beams based on high-order shear deformation theory

This article deals with the thermal buckling and postbuckling of functionally graded material (FGM) beams with surface-bonded piezoelectric actuators based on physical neutral surface concept and high-order shear deformation theory including von Kármán strain–displacement relationships. The beams are exposed to a uniform temperature field and electric field, the material properties of FGM layers are temperature-dependent and vary in the thickness direction. The approximate solutions of piezoelectric FGM beams for thermal buckling and postbuckling are obtained by a two-step perturbation method, meanwhile, the analytical solutions of Timoshenko beam model and Euler beam model are also presented. The validity of the present work can be confirmed by comparisons with previous results. The effects of the applied actuator voltage, beam geometry as well as volume fraction index of FGM beam on the critical buckling temperature, and postbuckling load–deflection relationships are investigated.     

Models for circular data from time series spectra

Circular data are those for which the natural support is the unit circle and its toroidal extensions. Numerous constructions have been proposed which can be used to generate models for such data. We propose a new, very general, one based on the normalization of the spectra of complex-valued stationary processes. As illustrations of the new construction's application, we study models for univariate circular data obtained from the spectra of autoregressive moving average models and relate them to existing models in the literature. We also propose and investigate multivariate circular models obtained from the high-order spectra of stationary stochastic processes generated using linear filtering with an autoregressive moving average response function. A new family of distributions for a Markov process on the circle is also introduced. Results for asymptotically optimal inference for dependent observations on the circle are presented which provide a new paradigm for inference with circular models. The application of one of the new families of spectra-generated models is illustrated in an analysis of wind direction data.     

基于扩展伪多道匹配的保幅型多次波压制方法

波动方程预测减去法压制多次波主要分为两步:多次波模型预测和多次波匹配相减。两步骤同时决定着最终多次波压制效果的好坏。本文在现有SRME方法基础上进行了改进。为了实现保幅条件下的多次波压制,除在匹配过程中采用扩展伪多道匹配方法之外,提出了三点改进:①按多次波阶次进行预测和匹配;②匹配前有效能量保持;③匹配过程中迭代应用短滤波器。通过Sigsbee2B模型及实际资料试算,表明本文方法能够在较好保持有效能量的前提下得到更为理想的多次波压制剖面。     

A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems

The problem of non-stationary interference suppression in direct sequence spread-spectrum (DS-SS) systems is considered. The phase of interference is approximated by a polynomial within the considered interval. According to the local polynomial Fourier transform (LPFT) principle, the received signal is dechirped by using the obtained phase approximation and the interference is, in turn, suppressed by excising the corrupted low-pass frequency band. For the estimation of polynomial coefficients, we use the product high-order ambiguity function (PHAF), known for its capability to successfully resolve components of a multicomponent polynomial-phase signal (PPS). The proposed method can suppress interferences with both polynomial and non-polynomial phase. In addition, it can suppress both monocomponent and multicomponent interferences. The simulations show that the proposed method outperforms time-frequency (TF) methods, that successfully deal with multicomponent interferences, in terms of the error probability and computational complexity.     

通信信号的单通道盲分离和码元序列盲估计

针对被单根天线接收的多个通信信号的单通道盲分离问题,提出了一种新算法.该算法利用各个通信信号的周期性差异和波形差异,应用过采样技术和高阶统计量分析技术来构造适用于独立分量分析的多通道混合模型,从而将多信号盲分离问题转化成波形和码元序列的估计问题.仿真证实了新算法的可行性和优越性.