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首页> 外文会议>Smart Structures and Integrated Systems Mar 3-6, 2003 San Diego, California, USA >Active Stabilization of Thin-Wall Structures under Compressive Loading
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Active Stabilization of Thin-Wall Structures under Compressive Loading

机译：压缩荷载作用下薄壁结构的主动稳定

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The active suppression of elastic buckling instability has the potential to significantly increase the effective strength of thin-wall structures. Despite all the interest in smart structures, the active suppression of buckling has received comparatively little attention. This paper addresses the effects of embedded actuation on the compression buckling strength of laminated composite plates through analysis and simulation. Numerical models are formulated that include the influence of essential features such as sensor uncertainty and noise, actuator saturation and control architecture on the buckling process. Silicon-based strain sensors and diffuse laser distance sensors are both considered for use in the detection of incipient buckling behavior due to their increased sensitivity. Actuation is provided by paired distributions of piezo-electric material incorporated into both sides of the laminate. Optimal controllers are designed to command the structure to deform in ways that interfere with the development of buckling mode shapes. Commercial software packages are used to solve the resulting non-linear equations, and some of the tradeoffs are enumerated. Overall, the results show that active buckling control can considerably enhance resistance to instability under compressive loads. These buckling load predictions demonstrate the viability of optimal control and piezo-electric actuation for implementing active buckling control. Due to the importance of early detection, the relative effectiveness of active buckling control is shown to be strongly dependent on the performance of the sensing scheme, as well as on the characteristics of the structure.
机译：主动抑制弹性屈曲不稳定性有可能显着增加薄壁结构的有效强度。尽管人们对智能结构产生了浓厚的兴趣，但对屈曲的主动抑制却很少受到关注。通过分析和仿真，研究了嵌入式驱动对层压复合材料板抗压屈曲强度的影响。建立了数值模型，其中包括基本特征（例如传感器不确定性和噪声，执行器饱和度和控制结构）对屈曲过程的影响。基于硅的应变传感器和扩散激光距离传感器都因其提高的灵敏度而被考虑用于初期屈曲行为的检测。通过并入层压板两侧的压电材料的成对分布来提供致动。最佳控制器设计为命令结构变形，以干扰屈曲模式形状的发展。商业软件包用于求解所得的非线性方程，并且列举了一些折衷方案。总体而言，结果表明，主动屈曲控制可以显着增强抗压载荷下的不稳定性。这些屈曲载荷预测证明了实现主动屈曲控制的最优控制和压电驱动的可行性。由于早期检测的重要性，主动屈曲控制的相对有效性被证明很大程度上取决于传感方案的性能以及结构的特性。

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