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Isogeometric analysis of laminated composite and functionally graded sandwich plates based on a layerwise displacement theory

机译:基于分层位移理论的层合复合材料和功能梯度夹层板的等几何分析

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A multi-layered shell formulation is developed based on a layerwise deformation theory (Reddy, 2004) within the framework of isogeometric analysis (IGA). IGA utilizes Non-Uniform Rational B-splines (NURBS) to represent the geometry as well as to describe the field variables (Hughes et al., 2005). The high-order smoothness of NURBS offered the opportunity of capturing the structural deformation efficiently in a rotation-free manner. The derivation also follows a layerwise theory, which assumes a separate displacement field expansion within each layer, and considers transverse displacement component as C-0-continuous at layer interfaces, thus resulting in a layerwise continuous transverse strain states. Since the in-plane and through-thickness integrations are carried out individually, this approach is capable of capturing the complete three-dimensional stress states in a two-dimensional setting, which improves the computational efficiency. A knot insertion technique is utilized for the discretization in the through-thickness direction, and C-0-continuity is enforced by means of knot repetition at dissimilar material interfaces. The performance of the proposed model is demonstrated using multiple laminated composites and sandwich plates (including functionally graded material core) as examples. Numerical results prove the accuracy of the proposed formulation and show that the isogeometric layerwise shell is superior to its finite element counterpart. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在等几何分析(IGA)的框架内,基于分层变形理论(Reddy,2004)开发了多层壳配方。 IGA利用非均匀有理B样条(NURBS)表示几何形状并描述场变量(Hughes等,2005)。 NURBS的高阶平滑度提供了以无旋转方式有效捕获结构变形的机会。该推导还遵循分层理论,该理论假定每层内都有单独的位移场扩展,并且将横向位移分量视为在层界面处为C-0连续,从而导致了分层连续的横向应变状态。由于平面和厚度方向上的积分是单独进行的,因此该方法能够在二维设置中捕获完整的三维应力状态,从而提高了计算效率。结插入技术用于沿厚度方向离散化,并且C-0连续性是通过在不同材料界面处的结重复来实现的。以多层层压复合材料和夹心板(包括功能梯度材料芯)为例,证明了所提出模型的性能。数值结果证明了所提公式的准确性,并表明等几何分层壳优于其有限元模型。 (C)2017 Elsevier Ltd.保留所有权利。

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