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Analytical study and numerical experiments of true and spurious eigensolutions of free vibration of circular plates using real-part BIEM

机译:利用实部BIEM对圆板自由振动的真伪本征解进行分析研究和数值实验

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摘要

Following the success of the CHEEF method [Chen IL, Chen JT, Kuo SR, Liang MT. A new method for true and spurious eigensolutions of arbitrary cavities using the combined Helmholtz exterior integral equation formulation method. J Acoust Soc Am 2001; 109(3):982-98] and the real-part BEM [Kuo SR, Chen JT, Huang CX. Analytical study and numerical experiments for true and spurious eigensolutions of a circular cavity using the real-part dual BEM. Int J Numer Methods Eng 2000; 48:1401-22] for solving the membrane eigenproblem, we extend to the plate problem in this paper. The boundary integral equation method (BIEM) using only the real-part kernel instead of the complex-valued kernel is employed to solve the plate eigenproblem for saving half effort in computation. The spurious eigenvalue that resulted due to insufficient constraint is examined. To deal with this problem, a combined Helmholtz exterior integral equation formulation method (CHEEF) is employed to provide sufficient constraints to filter out spurious eigenvalues. The constraint equations of the transverse displacement, normal derivative and tangent derivative for the exterior collocating points are derived. If these constraint equations are properly chosen, one collocating point was sufficient to filter out all the spurious eigenvalues easily and efficiently, even for the repeated spurious eigenvalues. Finally, numerical experiments are performed to verify the analytical results.
机译:继成功的CHEEF方法[陈ILIL,陈建堂,郭SR,梁明。一种使用Helmholtz外部积分方程组合方法求解任意腔的本征和伪本征解的新方法。 J Acoust Soc Am 2001; 109(3):982-98]和实部BEM [Kou SR,Chen JT,Huang CX。利用实部双边界元法对圆腔的真和伪本征解进行分析研究和数值实验。 Int J Numer Methods Eng 2000; 48:1401-22]为解决膜特征问题,本文将其扩展到平板问题。边界积分方程法(BIEM)仅使用实数部分的核而不是复数值的核来解决板特征问题,从而节省了计算量。检查了由于约束不足而导致的伪特征值。为了解决这个问题,采用了组合的亥姆霍兹外部积分方程公式化方法(CHEEF)来提供足够的约束条件,以滤除虚假特征值。推导了外部并置点的横向位移约束方程,法向导数和切线导数。如果正确选择了这些约束方程,那么一个搭配点就足以轻松,高效地滤除所有虚假特征值,即使对于重复的虚假特征值也是如此。最后,进行数值实验以验证分析结果。

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