矩形缺口截面积损失率的智能磁致伸缩测量技术

Zhihui Zhou, Donglai Zhang, Jinping Sun, Enchao Zhang, Shimin Pan, Anshou Li
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引用次数: 1

摘要

由于管道和绳索的腐蚀和机械损伤造成的截面积损失,材料的最大应力和结构强度将大大降低。为了避免结构破坏,对材料截面积损失率进行智能测量是十分重要的。传统的残余材料厚度测量方法是基于接触式测量方法,测量效率低,不适合结构的长时间智能健康监测。本文提出了一种解决这一问题的新方法。利用磁致伸缩传感器激发导波,检测缺陷反射的信号。然后,利用检测到的信号,通过监控计算机智能地计算出缺陷的截面损耗。计算结果对结构健康测量有一定的指导意义。实验结果表明,该方法可以实现材料截面损耗的远程非接触式智能测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent magnetostrictive measurement technology for loss rate of cross-sectional area of rectangular notch
Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.
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