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温度变化下的自感知非线性超声疲劳裂纹检测

Self-Sensing Nonlinear Ultrasonic Fatigue Crack Detection under Temperature Variation .

机构信息

Department of Civil and Environmental Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea.

Department of Architectural Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea.

出版信息

Sensors (Basel). 2018 Aug 2;18(8):2527. doi: 10.3390/s18082527.

Abstract

This paper proposes a self-sensing nonlinear ultrasonic technique for fatigue crack detection under temperature variations. Fatigue cracks are identified from linear () and nonlinear () ultrasonic parameters recorded by a self-sensing piezoelectric transducer (PZT). The self-sensing PZT scheme minimizes the data acquisition system's inherent nonlinearity, which often prevents the identification of fatigue cracks. Also, temperature-dependent false alarms are prevented based on the different behaviors of and . The proposed technique was numerically pre-validated with finite element method simulations to confirm the trends of and with changing temperature, and then was experimentally validated using an aluminum plate with an artificially induced fatigue crack. These validation tests reveal that fatigue cracks can be detected successfully in realistic conditions of unpredictable temperature and that positive false alarms of 0.12% occur.

摘要

本文提出了一种自感知非线性超声技术,用于在温度变化下检测疲劳裂纹。疲劳裂纹是通过自感知压电换能器(PZT)记录的线性()和非线性()超声参数来识别的。自感知 PZT 方案最大限度地减少了数据采集系统固有的非线性,这通常会阻止疲劳裂纹的识别。此外,基于和的不同行为,防止了与温度相关的误报。所提出的技术通过有限元方法模拟进行了数值预先验证,以确认与温度变化相关的和的趋势,然后使用带有人工诱导疲劳裂纹的铝板进行了实验验证。这些验证测试表明,即使在温度不可预测的实际情况下,也可以成功检测疲劳裂纹,并且出现了 0.12%的正误报。

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