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Calculation of frequency dispersion curves of submerged elastic cylindrical shells based on spectral method

机译:基于谱法的水下弹性圆柱壳频散曲线计算

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Study on the frequency dispersion curve of elastic cylindrical shells is the foundation of nondestructive testing and target recognition. The traditional calculation method for frequency dispersion curves is based on thin shell theory and `Regge track', which is beset by low computational efficiency. The spectral method is regarded as a novel approach of solving ordinary or partial differential equations after the Finite Difference Method (FDM) and Finite Element Method (FEM). The solution of the differential equation is expressed as a sum of certain orthogonal functions and differential operators are replaced by differentiation matrices. Then a series of linear equations takes the place of ordinary or partial differential equations. In this paper, a calculation method on the frequency dispersion curves of elastic cylindrical shells based on spectral method is presented. Chebyshev polynomials are adopted to calculate the differentiation matrices. According to the continuity of displacement and stress on the boundary, the eigenvalue problem involving differential equations is translated into a matrix eigenvalue problem. Unlike previous studies, we calculate frequency dispersion curves of submerged elastic cylindrical shells in which external fluid and perfect matching layer(PML) are considered. Numerical simulations show that the frequency dispersion curves obtained by the spectral method are in good agreement with those of the traditional method. However, the former has a greater advantage in computation speed relative to the latter.
机译:研究弹性圆柱壳的频散曲线是无损检测和目标识别的基础。传统的频率色散曲线计算方法是基于薄壳理论和“ Regge track”(Regge轨迹),而后者受计算效率低的困扰。频谱方法被认为是继有限差分法(FDM)和有限元方法(FEM)之后求解常微分方程或偏微分方程的一种新颖方法。微分方程的解表示为某些正交函数的和,并且微分算子被微分矩阵代替。然后,一系列线性方程式代替了常微分方程或偏微分方程。提出了一种基于频谱法的弹性圆柱壳频散曲线计算方法。采用Chebyshev多项式来计算微分矩阵。根据边界上位移和应力的连续性,将包含微分方程的特征值问题转换为矩阵特征值问题。与以前的研究不同,我们计算了考虑了外部流体和完美匹配层(PML)的水下弹性圆柱壳的频散曲线。数值模拟表明,频谱法得到的频散曲线与传统方法的频散曲线吻合良好。但是,与后者相比,前者在计算速度上具有更大的优势。

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