4.7 Article

Inverse differential quadrature method for structural analysis of composite plates

期刊

COMPUTERS & STRUCTURES
卷 263, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2022.106745

关键词

Inverse differential quadrature method; Underdetermined system; Structural analysis; Composite plates

资金

  1. Science Foundation Ireland (SFI) [15/RP/2773]

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A novel two-dimensional inverse differential quadrature method is proposed to approximate the solution of high-order system of differential equations. The method improves the accuracy of the approximation by avoiding the high sensitivity of high-order numerical differentiation operations to noise. The study also presents a general framework for approximating arbitrary functions from high-order partial derivatives and analyzes the bending and buckling behaviors of laminated plates within the context of first-order shear deformation theory.
A novel two-dimensional inverse differential quadrature method is proposed to approximate the solution of high-order system of differential equations. A critical aspect of the proposed scheme is to circumvent the error arising from high sensitivity to noise associated with high-order numerical differentiation oper-ations during direct approximation. A general framework for approximating arbitrary functions from high-order partial derivatives is developed and a comprehensive insight for the implementation of differ-ent orders of the analysis within the context of first-order shear deformation theory kinematical assump-tions governing laminated plates bending and buckling behaviours is presented. Concerning buckling analysis, a Moore-Penrose pseudo-inverse preconditioning procedure is further proposed to formulate the eigenvalue problem, since the developed algebraic expressions constitute an underdetermined sys-tem. According to the numerical tests for bending and buckling analyses of laminated plates under dif-ferent loading and boundary conditions, the accuracy of current solutions compares satisfactorily with Navier's solution, differential quadrature method and commercial finite element analysis models. Furthermore, the developed method demonstrates the potential for improved convergence in comparison with differential quadrature solutions highlighting its computational merits. (c) 2022 The Authors. Published by Elsevier Ltd.

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