Damage detection of base‐isolated buildings using multi‐input multi‐output subspace identification

A damage detection algorithm of structural health monitoring systems for base‐isolated buildings is proposed. The algorithm consists of the multiple‐input multiple‐output subspace identification method and the complex modal analysis. The algorithm is applicable to linear and non‐linear systems. The story stiffness and damping as damage indices of a shear structure are identified by the algorithm. The algorithm is further tuned for base‐isolated buildings considering their unique dynamic characteristics by simplifying the systems to single‐degree‐of‐freedom systems. The isolation layer and the superstructure of a base‐isolated building are treated as separate substructures as they are distinctly different in their dynamic properties. The effectiveness of the algorithm is evaluated through the numerical analysis and experiment. Finally, the algorithm is applied to the existing 7‐story base‐isolated building that is equipped with an Internet‐based monitoring system. Copyright © 2004 John Wiley & Sons, Ltd.     

A reassessment of dynamic characteristics of the Quincy Bayview Bridge using output‐only identification techniques

A reassessment of the dynamic characteristics of the 542 m cable‐stayed Bayview Bridge in Quincy, Illinois, is presented using a newly developed output‐only system identification technique. The technique is applied to an extensive set of ambient vibration response data acquired from the bridge in 1987. Vertical, torsional and transverse modal frequencies of the deck are identified, and uncertainty in damping values are estimated using an automated procedure on several redundant measurements at four locations. Important practical implementation issues associated with the implementation of the procedure and selection of algorithm design parameters for stochastic subspace identification techniques are discussed. An overall mean and standard deviation of damping of 1.0±0.8% is estimated considering all identified vertical, torsional and transverse modes in the 0–2 Hz band. The mean damping for the fundamental vertical mode (0.37 Hz) is identified as 1.4±0.5%, and for the first coupled torsion–transverse mode (0.56 Hz) is identified as 1.1±0.8%. Variability in the damping estimates is shown to decrease as estimated modal RMS acceleration levels increase. Standard deviations on estimated damping range from 0.05% to 2%. The results are shown to be a substantial improvement in the evaluation of damping compared to earlier spectral analysis conducted on the same data set. Copyright © 2005 John Wiley & Sons, Ltd.     

用改进的佐迪反演方法进行二维电阻率图像重建

针对佐迪反演方法在二维拟断面应用中的缺陷进行了三个方面的改进：固定佐迪反演方法中用于转换电极距和深度关系的深度转换因子,可使绝大多数数字模型的反演过程稳定收敛;在调整视电阻率的公式中加入一个迭代系数,可使计算值快速趋向于观测值,减少了迭代次数;对于含有噪声的数据,加入滤波因子可以在一定程度上抑制噪声。通过数字模拟和野外实测数据对改进后的佐迪反演方法在二维电阻率反演应用中的可行性进行了验证。模拟研究包含了简单模型,也包含一些复合模型,二者均取得较理想的应用效果。     

多重网格方法在资料同化中的应用

多重网格方法通过在疏密不同的网格层上进行迭代，以平滑不同频率的误差分量。具有收敛速度快、精度高等优点，是现有计算工作量最少的算法之一。文章介绍了多重网格方法的原理和具体实现方案，将其用于卫星云图资料的变分同化中，并与超松弛迭代法作了比较。结果表明采用多重网格法，有助于提高同化效率。     

随机子空间方法在桥塔模态参数识别中的应用

基于环境振动的结构模态参数识别方法正逐渐成为国内外研究的一大热点。环境振动方法就是仅仅利用结构测试的输出信号进行结构的模态参数识别,随机子空间方法就是其中的一种。随机子空间法是近年来发展起来的一种线性系统辩识方法,可以有效地从环境激励的结构响应中获取模态参数。它属于时域的方法,该方法不需要进行FFT变换,它不仅可以识别结构的频率,而且可以识别结构的阻尼和振型。文章首先介绍了随机子空间的理论,然后用该方法对正在施工中的南京长江三桥的南塔进行模态参数识别,通过与其他方法的识别结果进行比较,证明随机子空间方法不失为一种有效的模态参数识别方法。     

随机振动功率谱复现迭代算法的研究

采用功率谱复现迭代算法,依据系统的频率特性,对驱动信号进行迭代补偿,使得系统的响应谱能够高精度地复现期望谱。基于对影响随机振动功率谱复现精度因素的分析,提出在不同频段采用不同迭代步长的驱动谱迭代算法,给出了算法的程序框图,并通过试验验证了算法的有效性。     

频率域线源大地电磁法有限元正演模拟

本文介绍了频率域线源大地电磁法有限元正演模拟的研究结果. 在外边界上统一应用适合于人工源的一阶吸收边界条件来形成边值问题,可减小基于平面波假设造成的人为截断边界的影响. 程序编辑中设计了两个二维数组分别存储总体系数矩阵的非零元素和在总体结点编号中的位置,使内存占用量减少,且物理意义明确,方便用高斯-赛德尔等迭代法解有限元方程时调用. 采用视δ函数模拟线源,提高了解方程组的稳定性. 最后通过对1个简单模型和1个复杂模型的模拟,证明所用的方法对异常体能够有明显的反映,说明了该方法的可靠性和有效性.     

On Newton-like methods for solving nonlinear equations

Introduction Manymethodsforsolvingnonlinearequations aredescribedindetail[1,2].TheNewtonmethod fortheapproximationofarootofnonlinear equationf(x)=0isanimportantandbasic method,whichconvergesquadratically.The Newtonmethodanditsdeformationsarefocused onallt…     

病态数据处理的岭估计迭代解法

岭估计通常无法单次计算使得均方误差达到最小,因此提出岭估计迭代法。将岭估计参数估值代入平差模型,更新观测向量,再次用岭估计法求解参数。依此迭代,每次迭代计算方差和偏差,当均方误差达到最小或收敛时终止。模拟算例验证结果表明,该方法有效、可行。     

一种选权迭代法的半参数回归模型在滑坡预测中的应用

传统抗差估计中的选权迭代法无法探测到模型的系统误差,而基于补偿最小二乘原理的半参数模型可以较好地分离出系统误差。通过建立选权迭代法的半参数回归模型,利用时间序列法、L曲线法分别确定模型中的正则化矩阵及平滑因子,并利用选权迭代法重新定权,同时降低了观测粗差和系统误差对参数估值的影响。通过仿真算例,并以重庆奉节县大坪滑坡实测数据为例,验证了选权迭代法的半参数回归方法应用到三峡库区滑坡预测的有效性和优越性。