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Electromechanical impedance based structural health monitoring measuring system in the millisecond timescale

机译:毫秒级基于机电阻抗的结构健康监测测量系统

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Structural health monitoring (SHM) is a proven method for damage detection of static, slowly changing structures. However, there is a need to monitor structures in dynamic environments where damage may occur at much faster rates requiring evaluation in the microsecond to millisecond timescale (far below current measurement speeds). In recent years, advances in new SHM methods (along with data acquisition hardware and software) have opened the door to the measurement speeds necessary for continuously evaluating structures in dynamic environments. The electromechanical impedance (EMI) method offers excellent damage detection ability, and new electrical impedance measurement techniques have dramatically reduced the time of measurement. There are many areas that require further research to develop a fully functional microsecond SHM program using the EMI method. However, the current state of the art allows for preliminary testing for developing the algorithmic process necessary for a SHM program for continuous monitoring. This work discusses and develops the algorithmic process in a proof of concept program with LabVIEW. The program is tested in with an experiment to simulate damage as a change in boundary condition of a beam. Results indicate the program successfully completed the algorithmic process from raw data at an average of 20.47 ms on an Intel® Core™ i7-4470 processor on a 64-bit Windows 10 operating system (OS) with 8.00 GB of random-access memory (RAM) with a LabVIEW 2018 SP1 64-bit program, yielding tremendous promise and a foundation for more efficient future programs.
机译:结构健康监测(SHM)是一种经过验证的方法,可用于检测缓慢变化的静态静态结构的损伤。但是,需要在动态环境中监视结构,在动态环境中,损坏可能以更快的速度发生,需要在微秒到毫秒的时间范围内进行评估(远低于当前的测量速度)。近年来,新的SHM方法(以及数据采集硬件和软件)的进步为动态环境中连续评估结构所需的测量速度打开了大门。机电阻抗(EMI)方法具有出色的损伤检测能力,新的电阻抗测量技术大大缩短了测量时间。为了使用EMI方法开发功能齐全的微秒SHM程序,许多领域需要进一步研究。但是,当前的技术水平允许进行初步测试,以开发SHM程序进行连续监视所需的算法过程。这项工作使用LabVIEW在概念证明程序中讨论和开发算法过程。对该程序进行了实验测试,以模拟损坏作为梁边界条件的变化。结果表明,该程序在具有8.00 GB随机存取内存(RAM)的64位Windows 10操作系统(OS)上的Intel®Core™i7-4470处理器上平均平均以20.47 ms的原始数据成功完成了算法处理。 )和LabVIEW 2018 SP1 64位程序,带来了巨大的希望,并为未来更高效的程序奠定了基础。

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