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首页> 外文期刊>International journal of structural stability and dynamics >STRUCTURAL SIMILITUDE AND SCALING LAWS OF ANTI-SYMMETRIC CROSS-PLY LAMINATED CYLINDRICAL SHELLS FOR BUCKLING AND VIBRATION EXPERIMENTS
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STRUCTURAL SIMILITUDE AND SCALING LAWS OF ANTI-SYMMETRIC CROSS-PLY LAMINATED CYLINDRICAL SHELLS FOR BUCKLING AND VIBRATION EXPERIMENTS

机译:用于弯曲和振动实验的反对称交叉叠置圆柱壳的结构模拟和尺度定律

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摘要

Developed herein are the scaling laws for physical modeling of anti-symmetric cross-ply laminated circular cylindrical shells for buckling and free vibration experiments. In the absence of experimental data, the validity of the scaling laws is verified by numerical experiments. This is accomplished by calculating theoretically the buckling loads and fundamental frequencies of the model and substituting into the scaling laws to obtain the corresponding values of the prototype. The predicted values of the prototype from the scaling laws are then compared with existing closed-form solutions. Examples for the complete similitude cases with various stacking sequences, number of plies, and length-to-radius ratios show exact agreement. The derived relationships between the model and prototype will greatly facilitate and reduce the need for costly experiments. In reality, either due to the complexity of the scaling laws or to economize experimental cost and time, it may not be feasible to construct the model to fulfil the scaling laws completely. Thus, several possible models of partial similitude are investigated numerically. These include models with distortion in laminated material properties, stacking sequences and number of plies. Model with distortion in material properties yields a high percentage of discrepancy and is not recommended.
机译:本文开发了用于反屈曲和自由振动实验的反对称交叉多层层压圆柱壳物理建模的缩放定律。在没有实验数据的情况下,通过数值实验验证了定标律的有效性。这是通过理论上计算模型的屈曲载荷和基本频率,然后代入比例定律以获得原型的相应值来实现的。然后,将比例定律中原型的预测值与现有的封闭式解决方案进行比较。具有各种堆叠顺序,层数和长度-半径比的完整相似情况的示例显示了完全一致的结果。模型与原型之间的派生关系将极大地促进并减少对昂贵实验的需求。实际上,由于缩放定律的复杂性或节省实验成本和时间,构造模型以完全满足缩放定律可能是不可行的。因此,在数值上研究了几种可能的局部相似性模型。这些模型包括层压材料特性,堆叠顺序和层数变形的模型。材料属性失真的模型会产生很大的差异,因此不建议使用。

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