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Damage identification in composites using built-in piezoelectrics.

机译:使用内置压电元件识别复合材料中的损伤。

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An identification method was developed that uses measured responses from piezoelectrics built into laminated composite beams to detect a delamination and estimate its size and location. This development involved both experimental and analytical work.;Experiments were performed using surface-mounted piezoceramics on composite beams with and without an artificial delamination. Some of these piezoceramics were used as actuators to dynamically excite specimens while others were used as sensors to measure strains. These experiments showed that a delamination changes the dynamic forced response. Therefore, when a measured response differs from an undamaged structure's baseline response, damage could exist and the identification procedure is run.;The identification procedure consists of a response comparator, a damage selector and a model. The model is run repeatedly to predict the changes in response due to different possible delaminations. After each run, the damage selector chooses the next assumed delamination size and location randomly, using an approach related to "simulated annealing" that improves agreement between the measured and calculated responses. The response comparator then compares these two responses using a weighted quadratic objective function. When the objective function is minimized, the responses agree, and the assumed delamination dimensions are also best estimates for the actual dimensions. The technique has been tested using measured responses and has successfully identified artificially implanted beam delaminations.
机译:开发了一种识别方法,该方法使用内置在层压复合梁中的压电体的已测响应来检测分层并估计其尺寸和位置。该开发涉及实验和分析工作。;使用表面贴装的压电陶瓷在有或没有人工分层的情况下对复合梁进行实验。这些压电陶瓷中的一些用作致动器来动态激发样品,而另一些则用作传感器来测量应变。这些实验表明,分层会改变动态强制响应。因此,当测得的响应与未损坏结构的基准响应不同时,可能会存在损坏,并且需要执行识别程序。识别程序包括响应比较器,损坏选择器和模型。重复运行该模型以预测由于可能的分层而导致的响应变化。每次运行后,损伤选择器会使用与“模拟退火”相关的方法随机选择下一个假定的分层大小和位置,该方法可改善测量响应与计算响应之间的一致性。然后,响应比较器使用加权二次目标函数比较这两个响应。当目标函数最小化时,响应一致,并且假设的分层尺寸也是对实际尺寸的最佳估计。该技术已使用测得的响应进行了测试,并已成功识别出人工植入的光束分层。

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