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Moving Force Identification based on Wavelet Finite Element Method

机译:基于小波有限元方法的运动力识别

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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:传统的有限元分析方法(TFEM)需要大量元素才能对结构进行详细描述。其他在元素内具有附加自由度(DOF)的半分析方法可以解决此问题,但是模型中的任何修订都需要重新定义有限元模型以进行计算。小波有限元方法(WFEM)具有多分辨率分析的优点,因此可以同时获得结构的粗略描述和详细描述。本文提出了基于区间B样条小波的WFEM。形状函数由BSWI的比例函数形成,并且在小波和物理空间之间构造了一个变换矩阵。系统中的所有物理参数均以BSWI的变换矩阵和比例函数表示。 WFEM的多分辨率特性通过使用多个分布式测得的动态响应的运动力识别的逆分析得到证明。动态编程技术和Tikhonov正则化用于识别。数值结果表明,在相同条件下,WFEM的精度与TFEM相似,但有限元更少,而一阶Tikhonov正则化能够消除大部分测量噪声的影响。

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