基于周向导波的压力容器缺陷定位实验研究

Shuangmiao Zhai, Chaofeng Chen, Gangyi Hu, Shaoping Zhou
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引用次数: 0

摘要

压力容器通常在高温高压的极端环境下使用。不可避免地,设备中容易出现裂纹、腐蚀等缺陷,严重影响设备的正常运行。导波法是一种经济有效的压力容器效用测量方法。本文采用有限元模拟的方法研究了周向导波在压力容器中的传播特性。基于压电换能器的传播特性,分别在压力容器上进行了稀疏阵列和密集阵列两种不同结构的实验。基于上述配置,采用了离散椭圆成像算法和概率损伤成像算法等不同的成像方法对缺陷进行定位。在此基础上,建立了用于压力容器检测的多通道超声导波检测系统。实验结果表明,稀疏阵列结合离散椭圆成像算法可以有效地定位缺陷。基于概率损伤成像算法的成像结果表明,密集阵列具有较好的定位效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defect Localization for Pressure Vessel Based on Circumferential Guided Waves: An Experimental Study
Pressure vessels are normally employed under extreme environments with high temperature and high pressure. Inevitably, the defects like crack and corrosion that easily occur in the equipment and can significantly influence the normal operation. Guided wave-based method is a cost-effective means to measure the utility of pressure vessel. In this paper, finite element (FE) simulation is used to explore the propagation characteristics of circumferential guided waves in pressure vessel. Based on the propagation characteristics, the experiments with different configurations of piezoelectric transducers (PETs), which contain a sparse array and a dense array, have been conducted on pressure vessel respectively. Different imaging methods, including discrete ellipse imaging algorithm and probability damage imaging algorithm have been applied to locate the defect based on the configurations above. Furthermore, a multi-channel ultrasonic guided wave detection system has been set up for pressure vessel inspection. The experimental results show that the sparse array with the discrete ellipse imaging algorithm can locate the defect effectively. The imaging results based on probability damage imaging algorithm show that the dense array presents the better localization result.
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