杂交应力元的应力子空间和柔度矩阵H对角化方法

证明了：1）杂交元假设应力模式线性无关是柔度矩阵非奇异的充分必要条件;以及2）等价假设应力模式形成相同的杂交元,在此基础上建立了假设应力模式的希尔伯特应力子空间,从而可以持方法简单地得到等价的正交归一化应力模式,实现了柔度矩阵对角化,使得杂交元形成过程中完全避免了繁杂的矩阵求逆运算,极大地提高了杂交元分析的计算效率,数值算例表明该方法是确实有效的。     

酉不变范数下极分解的扰动界

设A是m×n(m≥n)且秩为n的复矩阵.存在m×n矩阵Q满足Q*Q=I和n×n正定矩阵H使得A=QH,此分解称为A的极分解.本文给出了在任意酉不变范数下正定极因子H的扰动界,改进文[1,11]的结果;另外也首次提供了乘法扰动下酉极因子Q在任意酉不变范数下的扰动界.     

粘性阻尼系统的自由界面模态综合法

本文对任意粘性阻尼系统提出一种新的自由界面部件模态综合方法.对于具有刚体自由度的部件引入状态向量描述的左、右投影矩阵,论证了投影矩阵对状态位移及状态力的算子作用,据此定义了状态剩余柔度矩阵及状态剩余惯性释放附着模态.文中提供的三个算例表明,本文提出的方法具有较高的计算精度和模态综合效率.     

矩阵因子分解及其应用举例

通过矩阵方程定义了矩阵的左、右因子和双因子,给出了各类因子存在的充要条件,并将其应用到满秩分解和极分解等典型例子中.论证中,采用多种观点和方法,空间映射、矩阵运算并重.     

跳行范德蒙矩阵的三角分解

跳行范德蒙矩阵是一种重要的矩阵,在函数插值等方面有着重要的应用.根据跳行范德蒙矩阵的特殊结构,将跳行范德蒙矩阵分解为一系列下三角矩阵与一系列上三角矩阵的乘积.进一步给出了其逆矩阵分解为一系列上三角矩阵与一系列下三角矩阵的乘积的表达式.     

水质评价涉及的因子权重与定权方法

水质评价涉及属性权与熵权两种权重.熵权表征因子的分类能力,由因子的隶属度向量通过计算信息熵确定.属性权表征因子重要性程度的差异,用途是使不同因子的隶属度具有"可比性",但定权方法众说不一.指出,因子重要性程度差异源于因子属性与因子取值无关,并且表征这种差异等同于对因子接重要性排序.AHP的比例标度判断矩阵为因子排序提供了合理的数据条件,但基于"一致性检验"的特征根排序法受到质疑;FAHP也因没有彻底摆脱"一致性",所以建立的排序方法有局限性.为此,通过标度变换将比例标度转化为评分标度,利用评分标度的可加性把判断矩阵中由评分标度确定的因子的序关系转化为因子排序.由此建立不受"一致性"干扰的定权方法.     

有单位元交换环上二阶矩阵的因子分解

对有单位元交换环上矩阵分解问题进行了讨论,给出了有单位元交换环上二阶矩阵可以因式分解的充分必要条件,即单位元交换环上二阶矩阵可以因式分解当且仅当这个矩阵的行列式可以因子分解.     

约束矩阵方程的中心对称解及其在振动理论反问题中的应用

研究了中心主子矩阵约束下矩阵方程的中心对称解.利用矩阵向量化、Kronecker乘积及奇异值分解方法,得到了有解的充分必要条件及解的一般表达形式.同时,考虑了与之相关的对任意给定矩阵的最佳逼近问题.进而,给出在振动理论反问题中的应用,利用截断的主质量矩阵(或主刚度矩阵)、截断模态矩阵以及质量矩阵(或刚度矩阵)的中心主子阵,求系统的质量矩阵(或刚度矩阵).最后用两个例子说明文中方法的有效性.     

约束矩阵方程的中心对称解及其在振动理论反问题中的应用

研究了中心主子矩阵约束下矩阵方程的中心对称解. 利用矩阵向量化、Kronecker乘积及奇异值分解方法,得到了有解的充分必要条件及解的一般表达形式．同时,考虑了与之相关的对任意给定矩阵的最佳逼近问题．进而,给出在振动理论反问题中的应用, 利用截断的主质量矩阵（或主刚度矩阵）、截断模态矩阵以及质量矩阵（或刚度矩阵）的中心主子阵,求系统的质量矩阵（或刚度矩阵）．最后用两个例子说明文中方法的有效性.     

对角因子分块循环矩阵的对角化和谱分解

导出了对角因子分块循环矩阵的概念，把循环矩阵的对角化和谱分解推广到具有对角因子循环结构的分块矩阵中去．     

结构振动特性在线识别的理论模型和计算方法

环境自然激励作用下的大型结构动力特性在线识别方法受到广泛的关注,这个方法仅仅利用结构自然响应的被测试数据,识别结构动力特性．Ibrahim方法和ARMAV方法是基本的识别方法．该文研究了受随机激励作用动力学模型,给出了有别于传统谐波恢复的子空间分解识别方法．数值仿真结果表明,该方法对结构振动特性的识别具有较好的鲁棒性和较高的计算精度．     

环境自然激励下一种结构损伤在线识别方法

提出了一种环境自然激励下工程结构损伤识别方法,该法仅仅通过结构的输出数据识别结构的损伤．首先在结构完好的情况下,通过结构的输出数据识别外部统计参数;然后在结构损伤情况下,通过结构的输出数据识别结构的损伤分布函数．给出了识别结构损伤的理论模型和计算方法．数值仿真结果表明,该方法具有较高的辨别率和计算精度,能够使用在桥梁和建筑的健康监测中．     

Detecting structural changes with ARMA processes

ABSTRACT

In this paper, we discuss the application of autoregressive moving average (ARMA) processes in structural health monitoring. For this aim, we consider a linear system of differential equations driven by white noise, which could be seen as a continuous time model of an engineering structure under ambient excitation. A single component of the solution of such a system reflects the position or velocity of a fixed point of the observed structure. We first show that every such component behaves like an ARMA process. These considerations are illustrated by an example, where we show how the natural frequencies can be calculated from the process coefficients. However, the main focus of the paper lies in the detection of structural changes with ARMA processes. For this purpose, we propose a new distance measure that relies on the one-step prediction errors and some sampling strategies. Two case studies are included, which serve to demonstrate the performance of the proposed method. The first one is an off-duty steel truss railway bridge, followed by an in-depth study of an aluminium shear frame construction. In the latter case scenario, we show that the distance measure increases with increasing damage extent.     

Responses of SDOF Structures With SPIS-Ⅱ Dampers Under Random Seismic Excitation北大核心CSCD

A closed-form solution of responses of SDOF structures with SPIS-Ⅱ dampers under seismic excitation modeled with the Clough-Pezien spectrum was proposed, and the shock absorption performance and influential factors of this system were studied based on the proposed method. Firstly, the motion equation for the SPIS-Ⅱ damper was established, and the unified expressions of frequency domain solutions of structural responses, such as the structural displacement and the inerter force, were obtained. Secondly, based on the rational expression decomposition and the residue theorem, the quadratic orthogonal equations of the frequency response eigenvalue function and the Clough-Pezien spectrum were obtained respectively, and in turn the quadratic orthogonal equation of the structural response power spectrum was deduced. Thirdly, the concise closed-form solutions of the 0~2nd-order spectral moments of the structural responses were acquired. The proposed method and the virtual excitation method were used to analyze a case respectively, which verifies the correctness of the proposed method. Finally, the proposed method was used to analyze the effects of the inerter parameters on the seismic performances of the structure. The research shows that, the proposed method gives closed-form solutions better than those given by the virtual excitation method in terms of computation efficiency and accuracy. The damping performance will improve with the increase of µm and µξ for a constant µω and the damping performance will reach the optimum for µω=1. © 2023 Editorial Office of Applied Mathematics and Mechanics. All rights reserved.     

Locating damaged storeys in a structure based on its identified modal parameters in Cauchy wavelet domain

Structural damage detection based on the changes of dynamic properties is a major topic for structural health monitoring. In this paper, efforts are made to extend the flexibility-based damage localization methods, especially the damage locating vectors (DLVs) method, to the case of earthquake vibration, where the finite element model and mass matrices are not available. First, a new method using continuous Cauchy wavelet transform (CCWT) and state-variable time series model is proposed to identify the modal parameters of a structure. Then the flexibility matrix can be constructed from the identified modal parameters. Second, a modified DLVs damage assessment approach is also proposed to locate damage positions in the structure through a weighted relative displacement index (WRDI). This index is calculated by using DLVs vectors determined from the change of flexibility matrix before and after damage of the structure. Numerical analyses demonstrate that the proposed process can indeed monitor the variation of stiffness for each storey. These two approaches are further applied to process the dynamic responses of three-storey and eight-storey steel frames in shaking table tests. The proposed scheme is also proved to be superior to mode shape based methods (CMS, COMAC) in monitoring the variation of stiffness for each storey.     

基于信息压缩矩阵特征值映射的时变系统UD分解辨识算法

在系统辨识领域遗忘因子UD分解算法(一种通过对系统数据矩阵进行UD分解的在线辨识算法)具有对时变系统阶次和参数同步估计的优异性能,但传统的遗忘策略不能从根本上解决信息压缩矩阵数据过饱和问题,为了拓展现有UD分解算法在时变系统的适用范围,同时针对数据空间分布不均匀性,提出一种基于信息压缩矩阵特征值映射的UD分解辨识算法....     

基于区间灰关联度的飞机战术意图识别方法

针对敌机在某一时刻其状态属性特征具有迷惑性的特点将某时间段敌机的特征指标变化序列用区间数表示,然后将敌机各类战术意图基准特征值也用区间数表示,将两类区间数都进行规范化处理,求得目标特征区间值与各类意图基准特征区间值的距离矩阵,用AHP方法确定特征指标权重,然后提出了一个新的灰关联模型并对其满足灰关联四公理进行了证明,用提出的灰关联度模型对目标战术意图进行识别.仿真结果证明区间灰关联度方法用于飞机战术意图识别的有效性,同时可以发现其在实时性方面的优势.     

On high-dimensional change point problem

New statistics are proposed to estimate and test the structural change when the data dimension is comparable to or larger than the sample size. Consistency of the new statistic in estimating the change point position is established under the alternative hypothesis. The asymptotic distribution of the new statistic in testing the existence of a change point is obtained under the null hypothesis. Some simulation results are presented which show that the numerical performance of our method is satisfactory. The method is illustrated via the analysis of the house price index of US.     

An efficient indicator for structural damage localization using the change of strain energy based on static noisy data

An efficient method is proposed to find multiple damage locations in structural systems. The change of static strain energy (SSE) due to damage is used to establish an indicator for determining the damage location. The SSE is determined using the static analysis information extracted from a finite element modeling. In order to assess the performance of the proposed method for structural damage detection, some benchmark structures having a number of damage scenarios are considered. Numerical results demonstrate that the method can accurately locate the structural damage when considering the measurement noise. The efficiency of the proposed indicator for finding the damage site is also compared with a modal strain energy based index (MSEBI) provided in the literature.     

A new model for sparse and low-rank matrix decomposition

The robust principal component analysis (RPCA) model is a popular method for solving problems with the nuclear norm and $\ell_1$ norm. However, it is time-consuming since in general one has to use the singular value decomposition in each iteration. In this paper, we introduce a novel model to reformulate the existed model by making use of low-rank matrix factorization to surrogate the nuclear norm for the sparse and low-rank decomposition problem. In such case we apply the Penalty Function Method (PFM) and Augmented Lagrangian Multipliers Method (ALMM) to solve this new non-convex optimization problem. Theoretically, corresponding to our methods, the convergence analysis is given respectively. Compared with classical RPCA, some practical numerical examples are simulated to show that our methods are much better than RPCA.