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Electromagnetic pulsed thermography for natural cracks inspection

机译:电磁脉冲热成像技术用于自然裂缝检查

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摘要

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:为了表征基础设施的结构完整性和安全性,越来越需要对材料退化和裂缝进行新兴的集成感测和监视。但是,大多数常规的非破坏性评估(NDE)方法都是基于单模态传感,这不足以评估结构完整性和自然裂缝。本文提出了电磁脉冲热成像技术,以快速,全面地表征缺陷。它混合了多种物理现象,例如磁通量泄漏,感应涡流和感应加热,并与物理以及信号处理算法相链接,以提供丰富的材料特性和缺陷信息。提出了使用一阶导数的新功能,该功能可以反映多物理场的时空行为,以增强对不同方向裂缝的检测。有力的结果表明,对于人工和自然裂缝检测,其剥离强度和不变特征具有鲁棒性,该方法大大提高了缺陷检测能力。它开辟了多物理场感测和集成的无损检测技术,具有潜在的影响力,可以自然理解并更好地定量评估包括应力腐蚀裂纹(SCC)和滚动接触疲劳(RCF)在内的自然裂纹。

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