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Bending Boundary Layers in Laminated-Composite Circular Cylindrical Shells

机译:层合复合圆柱壳中的弯曲边界层

摘要

A study of the attenuation of bending boundary layers in balanced and unbalanced, symmetrically and unsymmetrically laminated cylindrical shells is presented for nine contemporary material systems. The analysis is based on the linear Sanders-Koiter shell equations and specializations to the Love-Kirchhoff shell equations and Donnell's equations are included. Two nondimensional parameters are identified that characterize the effects of laminate orthotropy and anisotropy on the bending boundary-layer decay length in a very general manner. A substantial number of structural design technology results are presented for a wide range of laminated-composite cylinders. For all laminates considered, the results show that the differences between results obtained with the Sanders-Koiter shell equations, the Love-Kirchhoff shell equations, and Donnell's equations are negligible. The results also show that the effect of anisotropy in the form of coupling between pure bending and twisting has a negligible effect on the size of the bending boundary-layer decay length of the balanced, symmetrically laminated cylinders considered. Moreover, the results show that coupling between the various types of shell anisotropies has a negligible effect on the calculation of the bending boundary-layer decay length in most cases. The results also show that, in some cases, neglecting the shell anisotropy results in underestimating the bending boundary-layer decay length and, in other cases, results in an overestimation.
机译:针对九种现代材料系统,研究了平衡和不平衡,对称和不对称层压圆柱壳中弯曲边界层衰减的研究。该分析基于线性Sanders-Koiter壳方程,并且专门针对Love-Kirchhoff壳方程和Donnell方程。确定了两个无量纲参数,这些参数以非常普遍的方式表征了叠层正交各向异性和各向异性对弯曲边界层衰减长度的影响。对于各种各样的层压复合材料圆柱体,提出了大量的结构设计技术结果。对于所有考虑的层压板,结果表明,使用Sanders-Koiter壳方程,Love-Kirchhoff壳方程和Donnell方程获得的结果之间的差异可以忽略不计。结果还表明,以纯弯曲和扭曲之间的耦合形式出现的各向异性效应对所考虑的平衡对称叠层圆柱体的弯曲边界层衰减长度的大小影响可忽略不计。此外,结果表明,在大多数情况下,各种类型的壳各向异性之间的耦合对弯曲边界层衰减长度的计算影响可忽略不计。结果还表明,在某些情况下,忽略壳各向异性会导致低估弯曲边界层的衰减长度,而在其他情况下,则会导致高估。

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