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基于低频动态信息和超声导波的复杂结构损伤的在线诊断技术
作者姓名:N.  Hu
作者单位:Chongqing University
摘    要:在近三十年来,基于各类测试数据对工程结构发展有效的结构损伤在线诊断技术取得了长足的进步,由于该领域的研究成果数量过于庞大,本论文将仅限于对利用结构动态数据进行在线损伤诊断的技术进行介绍和总结。文章主要涵盖了两方面的内容:首先介绍利用结构低频动态信号进行土木、航空航天等领域内的大型复杂结构的各类在线诊断技术,特别重点介绍利用结构低频振动数据信息进行损伤诊断的理论、方法与应用;其次介绍利用结构高频动态信号,进行结构在线损伤诊断与监测的技术,主要详细介绍近十多年来发展起来的超声导波技术及其应用。论文分析和介绍了各类技术的应用范围,及其在不同的情况下使用时的优缺点,并对该领域的未来方法与技术的发展趋势进行了展望。

收稿时间:2017-08-31

On-Line Monitoring Technologies for Complex Structural Damage Identification Based on Low-Frequency Structural Dynamic Signals and Ultrasonic Guided Waves
N. Hu.On-Line Monitoring Technologies for Complex Structural Damage Identification Based on Low-Frequency Structural Dynamic Signals and Ultrasonic Guided Waves[J].Acta Mechnica Solida Sinica,2017,38(4):312-347.
Abstract:n the recent past thirty years, great progress has been made for various effective on-line monitoring technologies of engineering structural damage based on various measurement data. Due to countless research outcomes in this field, the present review article will be only limited to the introduction and summary on those on-line damage monitoring methods or technologies using structural dynamic data. It mainly contains the following two aspects. First, we introduce various technologies using low-frequency structural low-frequency dynamic signals to carry out the on-line monitoring of large-scale complex structures in various engineering fields, e.g., civil, aerospace, etc. Especially, we will focus on the fundamental theories, methods and applications of those technologies based on the low-frequency structural vibration data. Second, we will introduce various on-line technologies for structural damage identification and monitoring based on high-frequency structural high-frequency dynamic signals. We mainly introduce and describe those technologies based on ultrasonic guided waves and their applications in detail, which have been developed quickly in the recent past more than ten years. This article introduces and analyzes the application scopes of the various above above-mentioned various technologies. Moreover, for different application situations, their advantages and drawbacks are described. Finally, we give an outlook to the trend of development about some future methods and technologies in this field.
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