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Load monitoring of aerospace structures utilizing micro-electro-mechanical systems for static and quasi-static loading conditions

机译:利用微机电系统对静态和准静态载荷条件的航空航天结构进行载荷监控

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The National Research Council Canada (NRC) has worked on the development of structural health monitoring (SHM) test platforms for assessing the performance of sensor systems for load monitoring applications. The first SHM platform consists of a 5.5m cantilever aluminum beam that provides an optimal scenario for evaluating the ability of a load monitoring system to measure bending, torsion and shear loads. The second SHM platform contains an added level of structural complexity, by consisting of aluminum skins with bonded/riveted stringers, typical of an aircraft lower wing structure. These two load monitoring platforms are well characterized and documented, providing loading conditions similar to those encountered during service. In this study, a micro-electro-mechanical system (MEMS) for acquiring data from triads of gyroscopes, accelerometers and magnetometers is described. The system was used to compute changes in angles at discrete stations along the platforms. The angles obtained from the MEMS were used to compute a second, third or fourth order degree polynomial surface from which displacements at every point could be computed. The use of a new Kalman filter was evaluated for angle estimation, from which displacements in the structure were computed. The outputs of the newly developed algorithms were then compared to the displacements obtained from the linear variable displacement transducers connected to the platforms. The displacement curves were subsequently post-processed either analytically, or with the help of a finite element model of the structure, to estimate strains and loads. The estimated strains were compared with baseline strain gauge instrumentation installed on the platforms. This new approach for load monitoring was able to provide accurate estimates of applied strains and shear loads.
机译:加拿大国家研究委员会(NRC)致力于开发结构健康监测(SHM)测试平台,以评估用于负载监测应用的传感器系统的性能。第一个SHM平台由5.5m悬臂铝梁组成,为评估负载监控系统测量弯曲,扭转和剪切负载的能力提供了最佳方案。第二个SHM平台由铝制蒙皮和结合/铆接的桁条组成,具有更高的结构复杂性,这是飞机下机翼结构的典型代表。这两个负载监控平台具有良好的特性和文档记录,可提供类似于服务期间遇到的负载条件。在这项研究中,描述了一种微机电系统(MEMS),用于从陀螺仪,加速度计和磁力计的三重轴获取数据。该系统用于计算沿平台离散站的角度变化。从MEMS获得的角度用于计算二阶,三阶或四阶多项式曲面,由此可以计算每个点的位移。评估了使用新的卡尔曼滤波器进行角度估计,从而计算出结构中的位移。然后将新开发的算法的输出与从连接到平台的线性可变位移传感器获得的位移进行比较。随后对位移曲线进行后处理,要么进行分析,要么借助结构的有限元模型进行后处理,以估算应变和载荷。将估计的应变与安装在平台上的基线应变仪进行比较。这种用于负荷监控的新方法能够提供所施加的应变和剪切负荷的准确估计。

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