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Moving Force Identification based on Wavelet Finite Element Method

机译:基于小波有限元法的移动力识别

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The traditional finite element method (TFEM) of analysis requires a large number of elements to have a detailed description of the structure. Other semi-analytical method with additional degree-of-freedoms (DOFs) within an element overcomes this problem, but any revision in the model needs a reformulation of the finite element model for computation. The wavelet finite element method (WFEM) has the advantage of multi-resolution analysis whereby both coarse and detailed descriptions of the structure can be obtained. This paper presents the WFEM based on B-spline wavelet on the interval (BSWI). The shape function is formed by scale function of BSWI and a transformation matrix is constructed between the wavelet and the physical spaces. All the physical parameters in the system are expressed in terms of the transformation matrix and scale function of BSWI. The multi-resolution property of the WFEM is demonstrated with the inverse analysis of moving force identification using several distributed measured dynamic responses. The dynamic programming technique and Tikhonov regularization are used for the identification. Numerical results show that the WFEM has similar accuracy as the TFEM under the same conditions but with fewer finite elements, while the first-order Tikhonov regularization is found capable to remove most of the effect of measurement noise.
机译:分析的传统的有限元法(TFEM)需要大量的元件,以具有以下结构的详细描述。其它半解析方法与元素内的附加学位的自由(自由度)克服了这个问题,但是在模型中的任何修订需求计算有限元模型的措词。小波有限元法(WFEM)具有多分辨率分析的优点,由此可以得到该结构的粗粒和详细说明。此提出了一种基于在区间(BSWI)B样条小波WFEM。形状函数由BSWI的比例函数形成和变换矩阵的小波和物理空间之间构成。所有在系统中的物理参数BSWI的变换矩阵和规模功能方面表示。所述WFEM的多分辨率属性表明与使用若干分布式测量的动态响应移动力识别的逆分析。动态编程技术,Tikhonov正则化被用于识别。数值计算结果表明,该WFEM具有精度为在相同条件下的TFEM但用较少的有限元相似,而一阶Tikhonov正则化是发现能够以除去大部分的测量噪声的影响。

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