重根特征向量导数计算的完备模态法

1 引言特征向量导数是结构动力优化分析和控制系统设计过程中很重要的参数;近些年来,在模型修正以及结构参数识别与诊断中也往往需要特征向量导数的信息:另外,特征向量导数还是“灵敏度分析”的一个重要部分.目前计算特征向量导数的部分方法有Fox(含改进Fox 法)、Nelson 法(含改进Nelson 法)、模态法和扰动迭代法.众所周知,求解特征向量导数的“支配方程”(K-λ_iM)(?)_(i,j)=(λ_iM_(?)+λ_(i,j)M-K_(?))(?)_i=g_i (1)的系数阵为亏秩阵;对于单根为亏秩1;对于m 重根就亏秩m.Fox 法和改进Fox 法是利用     

特征向量导数计算的改进直接扰动法

本文对特征向量导数计算的一种“直接扰动法”进行了改进,使之精度进一步提高。本文不仅从理论上,而且算例结果也证实了这种改进是合理而有效的。     

特征向量导数计算的Lanczos方法

本文对特征向量导数计算的Ｌａｎｃｚｏｓ法进行了改进,指出Ｌａｎｃｚｏｓ法对方程的缩阶效率取决于初始向量的选择,介绍了Ｌａｎｃｚｏｓ方法的发展,提出采用频率移位法选择初始Ｌａｎｃｚｏｓ向量。通过理论分析及计算机仿真说明移位Ｌａｎｃｚｏｓ方法可以将较大的方程组缩为一阶方程,在计算精度与效率上大大优于任选向量Ｌａｎｃｚｏｓ法和迭代Ｌａｎｃ－ｚｏｓ法     

计算重根特征向量导数的消元法

本文提出了重根特征向量导数计算的消无法，它分为若干直接算法和一种迭代算法。这种方法概念简单、实施容易、精度良好。该方法可经简单移值用于非重根情况。     

广义特征值问题中重特征值的特征向量导数

本文把重特征值的特征向量导数的计算方法,推广到非亏损矩阵的广义特征值问题,并给出了特征值导数也有重根时特征向量导数的计算式。本方法的优点是只需已知所考虑的重特征值的特征向量,因而计算量小,对于大型复杂结构更为适用。     

广义特征值问题中重特征值的特征向量导数

本文把重特征值的特征向量导数的计算方法，推广到非亏损矩阵的广义特征值问题，并给出了特征值导数也有重根时特征向量导数的计算式。本方法的优点是只需已知所考虑的重特征值的特征向量，因而计算量小，对于大型复杂结构更为适用。     

重根特征向量导数计算的直接扰动法

1 引言特征导数计算方法在结构工程和控制工程中有着广泛的应用.这方面的文献已不少了,文[1]是较早探讨这类计算方法的文献之一.文[1]只适用于非重根情况,且又无法利用有限元矩阵的稀疏、带状特点提高计算效率.文[2]首次提出了一种特征向量导数的简化计     

复振型导数计算的移位多次模态加速法

本文研究了含粘性阻尼结构的复振型导数计算问题,将导数计算问题看成是一个简谐激振的响应计算问题,采用多次模态加速法和移位法,导出了复振型导数计算的移位多次模态加速法。该方法具有明确的数学和物理意义,可导出已有的各种计算方法。算例表明本方法计算复振型导数只需用很少几个模态即可保证精度,计算量大大减少。     

特征向量灵敏度计算的一种新方法

在结构的振动控制、优化设计和损伤识别中经常需要用到特征向量灵敏度.目前已有的特征向量灵敏度精确计算方法有模态叠加法和Nelson方法,但模态叠加法需要用到高阶振型,这对于大型结构而言难以获得.Nelson方法虽然不需要用到高阶振型,计算量较少,但对于各阶振型并无统一的灵敏度计算公式,且在操作步骤上稍显繁琐.本文参考Nelson方法的基本思想,提出一种新的计算特征向量灵敏度精确解法,对于各阶振型,推导了形式统一的灵敏度计算公式,本文所提方法在计算量上和Nelson方法相当,但更易于编程实现.数值算例结果说明了所提方法是合理可行的.     

应用结构传递函数计算高阶剩余模态

本文分析了高阶剩余模态的组成形式,提出了一种利用结构传递函数求解高阶剩余模态的方法.由于文中通过传递函数得到结构高阶剩余模态,因此实验模态技术能方便地引入模态综合之中,为模态综合技术更广泛地应用提供了方便.     

模态分析在航空发动机振动故障分析中的应用

本文介绍了模态分析与数字谱分析技术在航空发动机振动故障诊断中的应用.具体研究了航空发动机故障信号分析、处理,发动机整机及零部件模态试验,以及根据实测频响函数的非线性特性诊断发动机零件裂纹的方法,并据此判断发动机产生故障的原因.     

Nonlinear Modal Analysis of Structural Systems Using Multi-Mode Invariant Manifolds

In this paper, an invariant manifold approach is introduced for the generationof reduced-order models for nonlinear vibrations of multi-degrees-of-freedomsystems. In particular, the invariant manifold approach for defining andconstructing nonlinear normal modes of vibration is extended to the case ofmulti-mode manifolds. The dynamic models obtained from this technique capture the essential coupling between modes of interest, while avoiding coupling fromother modes. Such an approach is useful for modeling complex systemresponses, and is essential when internal resonances exist between modes.The basic theory and a general, constructive methodology for the method arepresented. It is then applied to two example problems, one analytical andthe other finite-element based. Numerical simulation results are obtainedfor the full model and various types of reduced-order models, including theusual projection onto a set of linear modes, and the invariant manifoldapproach developed herein. The results show that the method is capable ofaccurately representing the nonlinear system dynamics with relatively fewdegrees of freedom over a range of vibration amplitudes.     

惯性平台台体结构实验模态参数识别及灵敏度分析

惯性平台台体的动态特性直接决定着惯性仪表的工作精度和可靠性，模态分析是研究机械系统动态特性的主要方法之一。在概述了实验模态分析理论的基础上，建立了某型号平台台体结构的实验模型，对其进行了实验模态分析。通过对实验结果与有限元计算结果比较，验证了有限元结果较为准确；同时针对结构存在的问题，通过灵敏度分析对结构的动力修改提出了改进意见。     

Seismic Evaluation of Multi-Storey RC Frame Using Modal Pushover Analysis

The recently developed pushover analysis procedure has led a new dimension to performance-based design in structural engineering practices. With the increase in the magnitude of monotonic loading, weak links and failure modes in the multi-storey RC frames are usually formed. The force distribution and storey displacements are evaluated using static pushover analysis based on the assumption that the response is controlled by fundamental mode and no mode shift takes place. Himalayan-Nagalushai region, Indo-Gangetic plain, Western India, Kutch and Kathiawar regions are geologically unstable parts of India and some devastating earthquakes of remarkable intensity have occurred here. In view of the intensive construction activity in India, where even a medium intensity tremor can cause a calamity, the authors feel that a completely up-to-date, versatile method of aseismic analysis and design of structures are essential. A detailed dynamic analysis of a 10-storey RC frame building is therefore performed using response spectrum method based on Indian Standard Codal Provisions and base shear, storey shear and storey drifts are computed. A modal pushover analysis (MPA) is also carried out to determine the structural response of the same model for the same acceleration spectra used in the earlier case. The major focus of study is to bring out the superiority of pushover analysis method over the conventional dynamic analysis method recommended by the code. The results obtained from the numerical studies show that the response spectrum method underestimates the response of the model in comparison with modal pushover analysis. It is also seen that modal participation of higher modes contributes to better results of the response distribution along the height of the building. Also pushover curves are plotted to illustrate the displacement as a function of base shear.     

基于模态缩减和模态实验数据的结构连接参数识别方法

利用在结构系统可测自由度上获得的不完备模态参数和子结构的有限元模型，根据模态缩减理论，建立了识别子结构间连接子结构参数的优化模型，采用逐次二次规划法求解，改善了测试噪声和模态截断误差的影响。该方法识别精度高、收敛速度快、计算量小，便于工程应用。     

Improved modal truncation method for eigensensitivity analysis of asymmetric matrix with repeated eigenvalues

An improved modal truncation method with arbitrarily high order accuracy is developed for calculating the second- and third-order eigenvalue derivatives and the first- and second-order eigenvector derivatives of an asymmetric and non-defective matrix with repeated eigenvalues. If the different eigenvalues λ1, λ2,, λrof the matrix satisfy |λ1| |λr| and |λs| |λs+1|(s r-1), then associated with any eigenvalue λi(i s), the errors of the eigenvalue and eigenvector derivatives obtained by the qth-order approximate method are proportional to |λi/λs+1|q+1, where the approximate method only uses the eigenpairs corresponding to λ1, λ2,, λs. A numerical example shows the validity of the approximate method. The numerical example also shows that in order to get the approximate solutions with the same order accuracy, a higher order method should be used for higher order eigenvalue and eigenvector derivatives.