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Analysis of thick and orthotropic rectangular laminated composite plates using a state-space-based generalised RKP-FSM

机译:基于状态空间的广义RKP-FSM分析正交异性矩形厚板

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This paper presents a novel numerical procedure based on the state space approach for the static analysis of thick and laminated composite plates using the newly-developed reproducing kernel particle finite strip method (RKP-FSM). The concept relies on the combination of the RKP-FSM with the state space method to obtain a semi-analytical three-dimensional numerical technique suitable for the analysis of generally-laminated composite plates. The present formulation is based on the application of the RKP-FSM in the plane of the problem to approximate the in-plane variations of the displacements and stress components, while the state space method is adopted for predicting the stress and displacement components in the direction of the thickness. One of the interesting features of the approach adopted is that the number of unknowns in the final system of equations is independent of the number of material layers. The RKP-FSM was developed by replacing the spline function in the spline finite strip method by the 1-D shape functions of the generalised RKPM. Since a meshless method is utilised as the approximation tool in the longitudinal direction of the strips, enforcing the essential boundary conditions requires special procedures. A detailed description of the method developed for enforcing the boundary conditions is included. Several numerical examples are presented to demonstrate the performance of the method and the results obtained are compared with available analytical and numerical solutions. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于状态空间方法的新型数值程序,该方法使用最新开发的再生核粒子有限条法(RKP-FSM)对厚板和层合复合板进行静态分析。该概念依赖于RKP-FSM与状态空间方法的组合,以获得适用于分析一般层压复合板的半解析三维数值技术。本公式是基于RKP-FSM在问题平面上的应用来近似位移和应力分量的面内变化,而状态空间方法则用于预测方向上的应力和位移分量的厚度。所采用方法的有趣特征之一是,最终方程组中未知数的数量与材料层的数量无关。通过用通用RKPM的一维形状函数代替样条有限条方法中的样条函数来开发RKP-FSM。由于在带材的纵向使用无网格方法作为近似工具,因此强制执行基本边界条件需要特殊的步骤。包括对为执行边界条件而开发的方法的详细说明。给出了几个数值示例,以证明该方法的性能,并将获得的结果与可用的分析和数值解决方案进行比较。 (C)2015 Elsevier Ltd.保留所有权利。

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