基于动力响应的桥梁移动载荷识别

研究了桥梁在动荷载下的响应及其移动载荷的识别方法。将桥梁简化为空间各向同性板模型,使用解析法分析其动力响应,并采用时域法进行移动载荷的识别。通过有限元软件,对桥梁进行动力响应分析,得到桥梁危险位置的加速度时程曲线,并编写程序实现移动荷载识别的仿真计算。     

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．     

考虑大变形的刚-柔耦合旋转智能结构动力学分析

基于Hamilton原理对带端部质量的刚柔耦合旋转智能结构建立了耦合的非线性动力学模型．根据一阶近似耦合（FOAC）模型理论,通过有限元方法,得到了系统的有限维模型．模型中考虑了轴向、横向位移和转动角度的非线性几何效应,以及压电材料和结构的大变形及离心刚化效应．在有限元模型的基础上,建立了3种实际系统模型方程,分别是无压电层的结构,有压电层开环状态和闭环状态．最后基于简化模型的仿真结果显示出有端部质量和没有端部质量的差异,智能结构梁在闭环和开环的差异,高速旋转梁的离心作用及结构外加电载荷的动力响应．     

空间一维结构分布动载荷时域识别方法

提出一种适用于空间一维结构分布动载荷的时域识别方法.基于空间分段和时间分段的思想, 推导了载荷时程识别的公式和过程.用MATLAB编写了载荷识别程序,以受分布动载荷简支梁和受随机风载荷输电导线的载荷识别对方法和程序进行验证, 并通过仿真试验研究了噪声对载荷识别的影响.结果表明,该方法对于线性问题有很高的识别精度,对于弱非线性问题能够满足工程应用要求,为分布动载荷时域识别提供了有效的途径.     

大型水平轴风力机叶片气动弹性计算

给出了一种考虑几何非线性的大型风力机静、 动气动弹性一体化计算方法．采用涡尾迹方法进行风力机气动载荷计算．建立风力机风轮的三维壳模型．沿周向平均风力机叶片载荷并加载到结构模型进行非线性静气动弹性分析．基于动力学小扰动假设, 在静平衡构型下进行动力学线性化, 计算风轮固有振动特性．继而结合非定常涡尾迹方法计算风力机动气动弹性响应．计算了NH 1500叶片考虑几何非线性的静气动弹性位移和动气动弹性响应．结果表明,大型风力机叶片几何非线性较为明显地减小静气动弹性位移,同时降低动气动弹性的响应幅值．大型风力机气动弹性响应计算需要考虑几何非线性     

约束Fractional Tikhonov正则化的模迭代方法

反问题是现在数学物理研究中的一个热点问题,而反问题求解面临的一个本质性困难是不适定性。求解不适定问题的普遍方法是:用与原不适定问题相“邻近”的适定问题的解去逼近原问题的解,这种方法称为正则化方法.如何建立有效的正则化方法是反问题领域中不适定问题研究的重要内容.当前,最为流行的正则化方法有基于变分原理的Tikhonov正则化及其改进方法,此类方法是求解不适定问题的较为有效的方法,在各类反问题的研究中被广泛采用,并得到深入研究.     

船体梁在水下近距爆炸作用下反直观动力行为的相似分析

针对漂浮船体梁结构在船舯底部近距爆炸作用下最终呈现的反直观中垂破坏现象进行了研究．首先以单发MK48鱼雷击沉DD973驱逐舰的实船打靶试验为例,建立了该问题的物理仿真模型,将水下爆炸冲击载荷的指数衰减段、倒数衰减段、倒数衰减后段和负压段压力精确加载到梁单元节点上进行求解,其中考虑了流固耦合效应、附连水质量以及重力和浮力变化的影响．之后利用相似理论对实船结构和箱型梁实验模型在中部下方近距爆炸作用下的整体动力响应进行分析,得到了决定船体梁中垂和中拱变形的相似参数及采用Rn数表示的理论预报公式,同时分析了各相似参数的物理意义和影响规律．     

带有限反馈下层的二层规划问题的部分合作模型

对下层最优反馈为离散有限多个的二层规划问题的部分合作模型进行探讨. 当下层的合作程度依赖于上层的决策变量时, 给出一个确定合作系数函数的一般方法, 进而得到一个新的部分合作模型. 在适当地假设下, 可保证所给的部分合作模型一定可以找到比悲观解要好的解, 并结合新的部分合作模型对原不适定问题进行分析, 得到了一些有益的结论. 最后以实际算例说明了所给部分合作模型的可行性.     

无约束平面框架结构冲击响应分析(Ⅰ)——公式推导

运用广义Fourier级数方法推导了无约束平面框架结构受运动刚体冲击时的瞬态动力响应公式,利用这些公式得到冲击系统动力响应解析解．在公式推导过程中得出结构系统中弹性响应的动量之和为零的结论．从公式推导可以看出,模态分析法同样可以用来解决此类冲击问题．     

基于增秩Kalman滤波的动态荷载识别和结构响应重构

针对传统的荷载识别方法受不适定性问题影响导致识别误差较大,且受传感器数上的限制也无法监测所有结构易损伤位置处振动响应的问题,提出了一种基于增秩Kalman滤波（augmented Kalman filter, AKF）算法的动态荷载识别和结构响应重构方法.基于结构状态空间方程,形成由荷载向量和状态向量组成的增秩状态向量（augmented-rank state vector,ASV）,利用Kalman滤波算法获得增秩状态向量的最小方差无偏（minimum variance unbiased, MVU）估计,实现了状态和荷载向量的同时识别.结合最优状态估计和观测矩阵,实现了未布置传感器处的结构动力响应重构.通过三个有限元案例,初步验证了该方法的可行性和有效性.结果表明,当荷载位置固定或移动时,所提方法均能有效地识别荷载和重构响应,精度较高且对测量噪声不敏感.传感器的种类、数量和布置位置对荷载识别和响应重构精度会有一定影响.     

Poisson方程热源识别反问题

探讨了半带状区域上二维Poisson方程只含有一个空间变量的热源识别反问题.这类问题是不适定的,即问题的解(如果存在的话)不连续依赖于测量数据.利用Carasso-Tikhonov正则化方法,得到了问题的一个正则近似解,并且给出了正则解和精确解之间具有Holder型误差估计.数值实验表明Carasso-Tikhonov正则化方法对于这种热源识别是非常有效的.     

Splitting-based conjugate gradient method for a multi-dimensional linear inverse heat conduction problem

In this paper we consider a multi-dimensional inverse heat conduction problem with time-dependent coefficients in a box, which is well-known to be severely ill-posed, by a variational method. The gradient of the functional to be minimized is obtained by the aid of an adjoint problem, and the conjugate gradient method with a stopping rule is then applied to this ill-posed optimization problem. To enhance the stability and the accuracy of the numerical solution to the problem, we apply this scheme to the discretized inverse problem rather than to the continuous one. The difficulties with large dimensions of discretized problems are overcome by a splitting method which only requires the solution of easy-to-solve one-dimensional problems. The numerical results provided by our method are very good and the techniques seem to be very promising.     

Leak identification in a saturated unsteady flow via a Cauchy problem

In this initial study, we propose a numerical method for identifying multiple leak zones in a saturated unsteady flow. Using the conventional saturated groundwater flow equation, the leak identification problem is modeled as a Cauchy problem for the heat equation and the aim is to find the regions on the boundary of the solution domain where the solution vanishes because the leak zones correspond to null pressure values. This problem is ill-posed and to reconstruct the solution in a stable way, we modify it and employ a previously proposed iterative regularizing method. In this method, mixed well-posed problems obtained by changing the boundary conditions are solved for the heat operator as well as for its adjoint to obtain a sequence of approximations to the original Cauchy problem. The mixed problems are solved using a finite element method and the numerical results indicate that the leak zones can be identified with the proposed method.     

A regularization method for solving the radially symmetric backward heat conduction problem

This work is devoted to solving the radially symmetric backward heat conduction problem, starting from the final temperature distribution. The problem is ill-posed: the solution (if it exists) does not depend continuously on the given data. A modified Tikhonov regularization method is proposed for solving this inverse problem. A quite sharp estimate of the error between the approximate solution and the exact solution is obtained with a suitable choice of regularization parameter. A numerical example is presented to verify the efficiency and accuracy of the method.     

THE QUASI-BOUNDARY VALUE METHOD FOR IDENTIFYING THE INITIAL VALUE OF THE SPACE-TIME FRACTIONAL DIFFUSION EQUATION

In this article, we consider to solve the inverse initial value problem for an inhomogeneous space-time fractional diffusion equation. This problem is ill-posed and the quasi-boundary value method is proposed to deal with this inverse problem and obtain the series expression of the regularized solution for the inverse initial value problem. We prove the error estimates between the regularization solution and the exact solution by using an a priori regularization parameter and an a posteriori regularization parameter choice rule. Some numerical results in one-dimensional case and two-dimensional case show that our method is effcient and stable.     

The inverse solution of the atomic mixing equations by an operator-splitting method

The quantification problem of recovering the original material distribution from secondary ion mass spectrometry (SIMS) data is considered in this paper. It is an inverse problem, is ill-posed and hence it requires a special technique for its solution. The quantification problem is essentially an inverse diffusion or (classically) a backward heat conduction problem. In this paper an operator-splitting method (that is proposed in a previous paper by the first author for the solution of inverse diffusion problems) is developed for the solution of the problem of recovering the original structure from the SIMS data. A detailed development of the quantification method is given and it is applied to typical data to demonstrate its effectiveness.     

不适定的部分Dirichlet问题广义解的右逆表示

对于曹伟平,马吉溥给出的部分Dirichlet问题的广义解的定义进行进一步研究,证得该问题的广义解等价于同一偏微分方程的齐次Dirichlet-Neumann混杂问题的弱解,并用算子右逆给出该广义解的表示.     

Coefficient identification in the Euler–Bernoulli equation using regularization methods

In this paper, we will study the inverse problem of identification of flexural rigidity coefficient in the Euler–Bernoulli equation. This inverse problem is ill-posed. To solve it, we will use regularization methods. In particular, we will apply the mollification method and the Landweber iteration method, in particular, to find the regularized solution of the Moore–Penrose generalized inverse to a linear operator and with this, we reconstruct the coefficient. At the end of this paper, will present some examples of interest.     

Landweber iterative method for an inverse source problem of time-fractional diffusion-wave equation on spherically symmetric domain

In this paper, an inverse source problem of time-fractional diffusion-wave equation on spherically symmetric domain is considered. In general, this problem is ill-posed. Landweber iterative method is used to solve this inverse source problem. The error estimates between the regularization solution and the exact solution are derived by an a-priori and an a-posteriori regularization parameters choice rules. The numerical examples are presented to verify the efficiency and accuracy of the proposed methods.     

A modified Tikhonov regularization method for an axisymmetric backward heat equation

This paper deals with the inverse time problem for an axisymmetric heat equation. The problem is ill-posed. A modified Tikhonov regularization method is applied to formulate regularized solution which is stably convergent to the exact one. estimate between the approximate solution and exact technical inequality and improving a priori smoothness Meanwhile, a logarithmic-HSlder type error solution is obtained by introducing a rather assumption.