镍钛醇增强板:第二部分。静态和屈曲特性

J. Ro, A. Baz
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引用次数: 40

摘要

柔性玻璃纤维增强复合材料板的静态和屈曲特性是通过激活沿板中部嵌入的最优NITINOL纤维组来控制的。通过对NITINOL纤维进行预拉伸和活化,产生显著的相恢复力,从而增加膜应变能,从而增加了NITINOL增强板的临界屈曲载荷。有了这样的控制能力,板材可以从轻重量部分制造而不影响其弹性稳定性。这一特性在建造具有高抗屈曲破坏能力的轻质结构时是无价的。NITINOL纤维被训练来记忆未扣板的形状,当板在外部压缩载荷的作用下发生偏转时,控制器通过将其加热到其转化温度以上来激活NITINOL纤维。所产生的相位恢复力使板回到其记忆的未偏转位置。建立了镍钛醇增强板的有限元模型,描述了复合板与镍钛醇纤维的外部载荷、工作条件和几何物理参数之间的相互作用。该模型预测了镍钛醇增强板的临界屈曲载荷。将预测载荷与文献中对称各向同性、正交各向异性和各向异性层压板的结果进行了比较。本文所描述的数学模型为预测镍钛醇增强复合材料的实际性能提供了宝贵的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NITINOL-reinforced plates: Part II. Static and buckling characteristics

The static and buckling characteristics of flexible fiberglass NITINOL-reinforced composite plates are controlled by activating optimal sets of NITINOL fibers embedded along the midplane of these plates. The NITINOL fibers are pre-tensioned and activated to generate significant phase recovery forces in order to increase the membrane strain energy which in turn increases the critical buckling load of the NITINOL-reinforced plates. With such control capabilites, the plates can be manufactured from light weight sections without compromising their elastic stability. This feature is invaluable in building light weight structures that have high resistance to failure due to buckling. The NITINOL fibers are trained to memorize the shape of the unbuckled plate and when the plate is deflected under the action of external compressive loads, the controller activates the NITINOL fibers by heating them above their transformation temperature. The generated phase recovery forces bring the plate back to its memorized undeflected position. A finite element model of NITINOL-reinforced plates is developed to describe the interaction between the external loads, operating conditions and the geometrical and physical parameters of the composite plate and the NITINOL fibers. This model predicts the critical buckling loads of NITINOL-reinforced plates. The predicted loads are compared with results available in the literature for symmetrically isotropic, orthotropic and anisotropic laminates. The mathematical model described in this paper provides an invaluable means of predicting realistic performance of NITINOL-reinforced composites.

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