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Electromagnetic pulsed thermography for natural cracks inspection

机译:用于自然裂缝检查的电磁脉冲热成像

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Emerging integrated sensing and monitoring of material degradation and cracks are increasingly required for characterizing the structural integrity and safety of infrastructure. However, most conventional nondestructive evaluation (NDE) methods are based on single modality sensing which is not adequate to evaluate structural integrity and natural cracks. This paper proposed electromagnetic pulsed thermography for fast and comprehensive defect characterization. It hybrids multiple physical phenomena i.e. magnetic flux leakage, induced eddy current and induction heating linking to physics as well as signal processing algorithms to provide abundant information of material properties and defects. New features are proposed using 1st derivation that reflects multiphysics spatial and temporal behaviors to enhance the detection of cracks with different orientations. Promising results that robust to lift-off changes and invariant features for artificial and natural cracks detection have been demonstrated that the proposed method significantly improves defect detectability. It opens up multiphysics sensing and integrated NDE with potential impact for natural understanding and better quantitative evaluation of natural cracks including stress corrosion crack (SCC) and rolling contact fatigue (RCF).
机译:表征基础设施的结构完整性和安全性,越来越需要出现综合传感和材料降解和裂缝的监测。然而,大多数常规的非破坏性评估(NDE)方法基于单个模态感测,这不足以评估结构完整性和天然裂缝。本文提出了快速和综合缺陷表征的电磁脉冲热成像。它杂交多种物理现象即磁通量泄漏,诱导涡流和感应加热与物理学的连接以及信号处理算法,以提供材料特性和缺陷的丰富信息。使用第1阶级提出了新功能,反映了多体空间和时间行为,以增强具有不同方向的裂缝的检测。已经证明了提出的方法显着提高了缺陷可检测性和自然裂缝检测的升高变化和不变特征的稳健。它开辟了多体感应和集成的NDE,具有对自然理解的潜在影响以及对天然裂缝的更好定量评估,包括应力腐蚀裂纹(SCC)和滚动接触疲劳(RCF)。

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