脉冲型地震动潜在破坏势参数的相关性分析

为了在众多参数中挑选其中最有代表性的参数,来解释和反映脉冲型地震动对结构的潜在破坏能力,以338条脉冲型地震动记录作为研究对象,分析地震动参数与中低层结构响应的相关性。选取了14个常用地震动参数,对各地震动参数之间的相关性进行分析,从中选出7个代表性地震动参数;并将脉冲型地震动输入中低层结构模型中计算结构响应,分析代表性地震动参数与结构响应的相关性,与基于非脉冲型地震动的相关性计算结果进行对比。选用了3层和7层2个RC框架结构作为中低层结构代表,其基本周期为0.62s和0.89s。结果表明:对于脉冲型地震动,对于3层结构时与结构响应相关性最好的为EPV,对于7层结构时与结构响应相关性最好的为PGV,因此可以用PGV和EPV作为表征脉冲型地震动对中低层结构潜在破坏能力的参数;而对于非脉冲型地震动,与结构响应相关性最好的参数为PGV,可以用PGV作为表征脉冲型地震动对中低层结构的潜在破坏能力的参数。因此,通过地震动参数来解释和表征脉冲型地震动对结构的破坏能力是可行的。     

基于能量方程的建筑结构半主动控制

基于地震作用下结构的能量响应方程,本文提出根据结构吸收能量、相对动能和变形能的变化(对时间的一次导数)进行结构的“开-关”半主动减震的控制律;在物理坐标系中对这3种控制律的动力特征和控制效果,以及作动器参数的选取进行了分析。本文针对建筑结构进行了数值仿真。计算结果表明,本文提出的控制律可以有效地减小了结构的位移响应,对随机不确定的地震波均具有良好的减震效果,适应性强,而且控制器参数合理。其中根据结构变形能推导的控制律的半主动控制效果优于其它2种控制律。     

机器学习辅助隔震支座优化布置

针对如何快速确定隔震结构的最优隔震支座布置问题,使用机器学习辅助结构优化方法,采用人工神经网络构建了预测隔震结构设计参数与结构响应之间复杂关系的机器学习模型,以隔震结构响应最小为目标函数,用粗粒度并行遗传算法,得到隔震结构的最优支座布置。用一个实际隔震工程验证,结果表明：构建的人工神经网络模型对各结构响应参数的预测准确率均达到了92%以上,平均预测准确率达到93%,与精确计算的优化结果相比,用机器学习辅助隔震支座布置的优化结果平均误差为3%,加速比约为300,说明该方法具有很高的预测精度和计算效率。     

基于复阻尼模型水平剪切型结构的时域解析算法

近些年来提出的数值方法虽克服了应用复阻尼模型求解动力响应时可能出现的发散现象,但其计算过程繁杂且不能表达出结构动力特性及响应随结构参数的变化规律。论文参照三对角Toeplitz矩阵特征值问题的数学解法,推导出水平剪切型结构各阶自振频率、振型函数的解析形式。通过对运动方程进行Fourier变换,得到复阻尼理论下结构的传递函数解析式,直观地表达出结构动力特性及响应随结构参数的变化规律。最后通过算例对比分析,结果表明:提出的复阻尼模型的解析计算方法克服了时域发散问题,并与时域数值计算方法的位移响应时程对比发现,两种方法得到的时程曲线吻合程度较高,位移峰值也基本一致。同时,对比两种方法在底层刚度变化时的动力响应,解析方法的计算曲线更光滑,避免了数值方法的离散误差问题。     

结构动力分析阻尼模型研究

提出了结构动力时程分析修正的Ｒａｙｌｅｉｇｈ阻尼模型和一个基于单元特性的阻尼参数方法,可用于合理确定复杂阻尼结构的阻尼参数,工程应用实例表明,阻尼参数的计算对时程响应计算结果的影响是十分明显的,必须在分析结构体系振动特性的基础上慎重确定阻尼参数,以避免为为放大或滤掉主要振型,造成虚假的结论。     

压电材料智能力矩控制器对具有不确定参数升船结构顶部厂房地震反应的鲁棒控制

文中建立了压电材料智能力矩控制器对具有不确定参数升船结构顶部厂房地震反应鲁棒控制的设计计算方法，并对中国某升船结构的等效结构体系进行了仿真分析。计算结果表明，智能力矩控制器能有效地减小顶部厂房的鞭梢效应。在考虑顶部厂房因端部山墙引起的侧移刚度不确定性的条件下，智能力矩鲁棒控制器的控制效果和稳定性要优于常规的主动控制器。     

TMD对结构地震响应控制效果的研究

TMD对简谐激励和风荷载引起振动的控制效果得到了一致的肯定,然而关于TMD地震控制的效果还没有一致的结论.文中比较了几种有代表性的TMD参数优化方法所确定的TMD参数;利用MAT-LAB编制了计算程序,分析了不同方法所确定的TMD参数用于地震控制时,控制效果的差别;从反应谱的概念出发,研究TMD对单自由度结构的地震控制效果.结果表明,TMD总体上对于单自由度结构的地震响应是有控制效果的,结构本身响应越大,控制效果越好;结构本身响应很小的时候,TMD有放大结构响应的现象,但由于结构本身响应很小,放大后的结构响应也不会导致结构有破坏的危险.     

压电材料智能力矩控制器对具有不确定参数

文中建立了压电材料智能力矩控制器对具有不确定参数升船结构顶部厂房地震反应鲁棒控制的设计计算方法,并对中国某升船结构的等效结构体系进行了仿真分析.计算结果表明,智能力矩控制器能有效地减小顶部厂房的鞭梢效应.在考虑顶部厂房因端部山墙引起的侧移刚度不确定性的条件下,智能力矩鲁棒控制器的控制效果和稳定性要优于常规的主动控制器.     

摩擦隔震结构中不同摩擦力模型在地震作用下结构响应分析

本文选用两种摩擦力模型来分析隔震结构的地震响应，运用newmark方法推导了隔震结构采用库仑摩擦力模型在地震作用下结构响应的计算公式。并编程计算了实例，进行了综合分析，得出质量比、摩擦系数对隔震效果的影响；并给出在其他结构参数相对稳定的条件下，滑移面摩擦系数的取值范围。     

悬挂结构体系地震响应特性及其突变性分析

对现有悬挂结构动力分析模型作了改进,引入了悬挂子结构的随动刚度,将子结构对主结构的非线性驱动力添加到运动方程中。用数值解法给出了悬挂结构体系的地震响应分析,进而给出了振幅与频率响应的计算结果。分析了结构响应突变的复杂特性,结果表明体系参数的微小变化使响应振幅及其突变值等特性产生明显变化,反映出结构体系的地震响应特性对参数变化非常敏感。另外,当吊杆长度较大时,非线性参数较小,结构的突变现象消失,产生"伪线性"性质。     

Parameter estimation in ensemble based snow data assimilation: A synthetic study

Estimating erroneous parameters in ensemble based snow data assimilation system has been given little attention in the literature. Little is known about the related methods’ effectiveness, performance, and sensitivity to other error sources such as model structural error. This research tackles these questions by running synthetic one-dimensional snow data assimilation with the ensemble Kalman filter (EnKF), in which both state and parameter are simultaneously updated. The first part of the paper investigates the effectiveness of this parameter estimation approach in a perfect-model-structure scenario, and the second part focuses on its dependence on model structure error. The results from first part research demonstrate the advantages of this parameter estimation approach in reducing the systematic error of snow water equivalent (SWE) estimates, and retrieving the correct parameter value. The second part results indicate that, at least in our experiment, there is an evident dependence of parameter search convergence on model structural error. In the imperfect-model-structure run, the parameter search diverges, although it can simulate the state variable well. This result suggest that, good data assimilation performance in estimating state variables is not a sufficient indicator of reliable parameter retrieval in the presence of model structural error. The generality of this conclusion needs to be tested by data assimilation experiments with more complex structural error configurations.     

Parameter-dependent vibration-attenuation controller design for electro-hydraulic actuated linear structural systems

The problem of robust active vibration control for a class of electro-hydraulic actuated structural systems with time-delay in the control input channel and parameter uncertainties appearing in all the mass,damping and stiffness matrices is investigated in this paper.First,by introducing a linear varying parameter,the nonlinear system is described as a linear parameter varying(LPV)model.Second,based on this LPV model,an LMI-based condition for the system to be asymptotically stabilized is deduced.By solving these LMIs,a parameter-dependent controller is established for the closedloop system to be stable with a prescribed level of disturbance attenuation.The condition is also extended to the uncertain case.Finally,some numerical simulations demonstrate the satisfying performance of the proposed controller.     

基于特征结构配置的结构鲁棒控制算法及仿真

本文提出了结构系统的鲁棒主动控制算法，其目的是求取状态反馈控制律，在闭环系统具有希望特征值前提下，使得闭环系统特征值关于参数摄动具有最小的灵敏度。基于状态反馈特征结构配置参数化方法和矩阵特征值灵敏度分析理论，该问题转化为含有约束条件的优化问题，并给出了求解该鲁棒控制问题的算法。该方法给出了特征值灵敏度函数的参数化表示，且直接基于结构系统矩阵，故便于工程应用。三自由度层间剪切型结构地震作用下的仿真分析，表明所提方法的有效性。     

An evaluation of a class of practical optimization techniques for structural dynamics applications

This paper evaluates a class of practical optimization techniques for parameter identification of realistic structural dynamic systems. The techniques involve quasi-Newton methods together with an efficient procedure for estimating complicated error functions. The optimization procedures are verified through their application to several representative examples, including finite-element models of realistic structural systems. Extensive numerical and graphical results demonstrate the effects of various optimization algorithm parameters on the rate of convergence of the objective function, the parameter vector error norm and the gradient norm. Guidelines are presented as an aid for addressing several significant issues in the practical application of structural dynamics optimization procedures, such as sensitivity problems, uniqueness, initial value definition for the parameter vector, convergence rates, constraints, the effect of alternative cost function definitions, accuracy of alternative gradient evaluation procedures, alternative procedures for estimating the inverse of the Hessian matrix and the use of a quadratic approximation of the objective function.     

Predictive uncertainty of a nearshore bed evolution model

Predictions of nearshore depth evolution using process-based numerical simulation models contain inherent uncertainties owing to model structural deficiencies, measurement errors, and parameter uncertainty. This paper quantifies the parameter-induced predictive uncertainty of the cross-shore depth evolution model Unibest-TC by applying the Bayesian Generalised Likelihood Uncertainty Estimation methodology to modelling depth evolution at Egmond aan Zee (Netherlands). This methodology works with multiple sets of parameter values sampled uniformly in feasible parameter space and assigns a likelihood value to each parameter set. Acceptable simulations (i.e., based on parameter sets with a nonzero likelihood) were found for a wide range of parameter values owing to parameter interdependence and insensitivity. The 95% uncertainty prediction interval of bed levels after the 33 days prediction period was largest (0.5–1 m) near the sandbar crests that characterize the Egmond depth profile, reducing to near-zero values in the sandbar troughs and the offshore area. The prediction interval built up during storms (when sediment transport rates are largest) and remained the same or even reduced slightly during less-energetic conditions. The prediction uncertainty ranges bracket the observations near the inner-bar crest, its seaward flank, and at the seaward flank of the outer bar, suggesting that elsewhere model structural errors (and, potentially, measurement errors) dominate over parameter errors. The interdependence and the non-Gaussian marginal posterior distribution functions of the free model parameters cast doubt on the ability of commonly applied multivariate normal distribution functions to estimate parameter uncertainty.     

核电厂考虑结构参数不确定的 地震易损性分析

为考虑核电厂结构参数不确定对结构地震易损性的影响,基于一次二阶矩法(First-Order Second-Moment, FOSM)进行地震易损性分析。以核电结构中混凝土材料的密度、弹性模量,泊松比和抗拉强度为不确定参数,建立有限元模型,并与试验结果对比,以验证模型的准确性。基于有限元数值模拟方法,通过增量动力法计算核电厂模型在多条地震记录下不同峰值加速度的动力响应,同时基于FOSM得到参数不确定下的对数标准差,进而得到核电厂结构考虑参数不确定的地震易损性曲线。结果表明,结构参数的不确定对核电结构有一定的影响,未考虑参数不确定的地震易损性结果会低估结构的失效概率。该方法可为核电结构基于参数不确定下的易损性分析提供一定的理论依据与实用价值。     

A memory-matrix-based identification methodology for structural and mechanical systems

This paper uses an associative memory approach to identify the properties of structural and mechanical systems. The methodology differs from standard identification methods in that it uses a set of parameter vectors simultaneously to generate the estimated parameter vector. The method develops a technique for sequentially generating genetically engineered relevant parameter vectors whose use results in accurate identification, while still using small data sets. This makes the approach promising for on-line, rapid, identification of structures and their health monitoring. © 1998 John Wiley & Sons, Ltd.     

用于塔里木地壳构造成像的重力场谱矩方法研究

现代地壳探测取得的各种地球物理场中包含有大量地壳构造信息,如果提取这些信息,可以在数学物理普适规律指导下计算出关于地壳构造的图件.由于区域重力场的高阶谱矩包含了场轮廓面的几何信息,可用于地质构造要素的分析计算,为地质构造要素选取和定位的计算机自动制图提供理论依据.由地面布格重力场的二阶谱矩的统计不变量计算,可导出表征地壳变形带的脊形化系数,用于计算机自动制作区域地壳变形带分布图.脊形化系数强弱区的边界代表了活动的和稳定的构造单元的边界.在计算脊形化系数的基础上,还可进一步计算其二阶谱矩的统计不变量并作进一步增强处理,计算构造单元的边界系数,对地壳构造单元边界作连续和精细的追踪.文中介绍了脊形化系数和边界系数的计算方法,以及用在塔里木盆地进行地壳构造分析的结果.圈定了塔里木盆地深层满中高密度扰动带和满南、满北低密度扰动带,为深层油气勘探提供重要基础资料.     

A measure of the capacity of earthquake ground motions to damage structures

Even though a number of parameters have been proposed in the literature for measuring the capacity of earthquake ground motions to damage structures, most of them are not consistent with building damage observed during earthquakes. In this study, a parameter for measuring seismic damage capacity is proposed. It uses the energy dissipated by a structure in inelastic deformations and a structural overall drift, and it is evaluated for three typical ground motions recorded in severe earthquakes. By using this parameter, consistent results with building damage observed in these earthquakes are obtained, which indicate the importance of displacement control for minimizing seismic damage.