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首页> 外文期刊>Journal of the Brazilian Society of Mechanical Sciences and Engineering >Mechanical behaviors of variable stiffness composite laminated sandwich plates using layer-wise model
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Mechanical behaviors of variable stiffness composite laminated sandwich plates using layer-wise model

机译:基于分层模型的变刚度复合层压夹芯板力学行为研究

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This paper deals with the mechanical behavior of variable stiffness composite laminated (VSCL) sandwich plates, for both static and dynamic analyses. The composite face sheets are made by curvilinear fibers. For static analysis, the VSCL sandwich plate is subjected to sinusoidal transversal load. The layer-wise (LW) theory and the p-version of the finite element method (FEM) are used to solve such problems. For the layer-wise model, each layer is modeled individually, while the displacement fields continuity is made by a linear zigzag variation in displacements through the thickness of the sandwich laminate. The principal of virtual work and the Lagrange's method were applied to solve the static and dynamic problems of the VSCL sandwich plates. The efficiency and accuracy of the LW model coupled with the hierarchical FEM are demonstrated through convergence and comparison studies with the existing solutions for both static and dynamic analyses. A parametric study is performed to examine the effect of fiber orientation angles, plate thicknesses, core to face sheet thickness ratios, stacking sequences, and boundary conditions on the deflection and stresses values as well as the fundamental frequencies. New results concerning the static and dynamic analyses of VSCL sandwich plates are presented using layer-wise solutions, where they can be used to establish benchmarks for future comparisons.
机译:本文介绍了可变刚度复合材料层压 (VSCL) 夹芯板的力学行为,用于静态和动态分析。复合面板由曲线纤维制成。对于静态分析,VSCL夹芯板承受正弦横向载荷。采用逐层(LW)理论和有限元法(FEM)的p版本来求解此类问题。对于逐层模型,每一层都是单独建模的,而位移场的连续性是通过夹层板厚度的位移线性锯齿形变化来实现的。应用虚拟工作原理和拉格朗日方法求解VSCL夹芯板的静动态问题。通过与现有静态和动态分析解决方案的收敛和比较研究,证明了LW模型与分层有限元模型耦合的效率和准确性。进行参数化研究以检查纤维取向角、板厚、芯板与面板厚度比、堆叠顺序和边界条件对挠度和应力值以及基频的影响。使用逐层解决方案介绍了有关VSCL夹芯板静态和动态分析的新结果,这些结果可用于为未来的比较建立基准。

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