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An extended separation-of-variable method for eigenbuckling of orthotropic rectangular thin plates

机译:用于正向矩形薄板的特征灵的扩展分离方法

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This paper develops an extended separation-of-variable (SOV) method for studying the eigenbuckling of orthotropic rectangular thin plates with simply supported, clamped, guided and free edges, and the closed-form eigensolutions are obtained for plates with non-Levy boundary conditions. In the extended SOV method based on the Rayleigh quotient variational principle, mode functions are in a separation-of-variable form, and critical loads pertaining to two-direction eigenbuckling mode functions are assumed to have different values in mathematical sense though they are the same physically. Besides, there are explicit and closed-form relationships between eigenvalues and the critical loads, and the eigenvalue equations and the coefficients of mode functions are achieved through two pairs of boundary conditions. Compared with the Kantorovich-Krylov method and the iterative SOV method, the extended separation-of-variable method solves eigenvalue equations simultaneously, not requiring iterations. The obtained results are in good agreement with the existing analytical and numerical results. Thus the validity of the present method and accuracy of the obtained solutions are verified. The obtained solutions can be used to measure the convergence and accuracy of numerical methods, and guide parametric design of structures.
机译:本文开发了一种扩展的变量分离(SOV)方法,用于研究用简单地支撑,夹紧,导向和自由边缘的正交矩形薄板的特征灵,并且为具有非征收边界条件的板获得闭合的初素素。在基于瑞利商变分性原理的扩展SOV方法中,模式函数处于分离的形式,并且假设与两个方向特征突出模式函数有关的临界负载,以便它们是相同的数学isse中的不同值身体。此外,在特征值和临界负载之间存在明确和闭合的关系,并且通过两对边界条件实现了特征值方程和模式功能的系数。与Kantorovich-Krylov方法和迭代SOV方法相比,扩展的可变方法同时解决了特征值方程,不需要迭代。获得的结果与现有的分析和数值结果吻合良好。因此,验证了本发明方法和所得溶液的准确性的有效性。所获得的解决方案可用于测量数值方法的收敛性和准确性,以及指导结构的参数化设计。

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