Study of Intelligent Approaches to Identify Impact of Environmental Temperature on Ultrasonic GWs Based SHM: A Review

Saqlain Abbas, Zulkarnain Abbas, Xiaotong Tu, Yanping Zhu
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Abstract

Structural health monitoring (SHM) is considered an effective approach to analyze the efficient working of several mechanical components. For this purpose, ultrasonic guided waves can cover long-distance and assess large infrastructures in just a single test using a small number of transducers. However, the working of the SHM mechanism can be affected by some sources of variations (i.e., environmental). To improve the final results of ultrasonic guided wave inspections, it is necessary to highlight and attenuate these environmental variations. The loading parameters, temperature and humidity have been recognized as the core environmental sources of variations that affect the SHM sensing mechanism. Environmental temperature has the most significant influence on SHM results. There is still a need for extensive research to develop such a damage inspection approach that should be insensitive to environmental temperature variations. In this framework, the current research study will not only illuminate the effect of environmental temperature through different intelligent approaches but also suggest the standard mechanism to attenuate it in actual ultrasonic guided wave based SHM. Hence, the work presented in this article addresses one of the open research challenges that are the identification of the effect of environmental and operating conditions in practical applications of ultrasonic guided waves and impedance-based SHM.
基于SHM的超声GWs环境温度影响智能识别方法研究进展
结构健康监测(SHM)被认为是分析多个机械部件有效工作的有效方法。为此,超声波导波可以覆盖远距离,并在使用少量换能器的单次测试中评估大型基础设施。但是,SHM机制的工作可能受到某些变化源(即环境)的影响。为了提高超声导波检测的最终结果,有必要突出和减弱这些环境变化。载荷参数、温度和湿度被认为是影响SHM传感机制的核心环境变化源。环境温度对SHM结果的影响最为显著。仍然需要广泛的研究来开发这种对环境温度变化不敏感的损伤检测方法。在此框架下,本研究不仅将通过不同的智能方法阐明环境温度的影响,还将提出在实际的基于超声导波的SHM中对环境温度的标准衰减机制。因此,本文提出的工作解决了一个开放的研究挑战,即在超声导波和基于阻抗的SHM的实际应用中确定环境和操作条件的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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