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Corrosion monitoring of prestressed concrete structures by using topological analysis of acoustic emission data

机译：采用声发射数据拓扑分析对预应力混凝土结构的腐蚀监测

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The potential of topological data analysis (TDA) to aid acoustic emission (AE) in revealing early signs of corrosion in prestressed concrete is investigated. The AE generated by corrosion is quantified in terms of features, including cumulative energy, cumulative number of hits, and peak frequency. Shape (i.e. topological) characteristics of the AE datacloud, which may embed corrosion-related information, are then studied quantitatively using TDA. The proposed method was evaluated in accelerated corrosion testing of a prestressed concrete specimen. AE was recorded non-invasively on the concrete surface, with more than 600 000 hits observed over 118 cycles of accelerated corrosion (spanning 206 d). The large AE datacloud contained holes, which opened and closed near distinct points in the corrosion process. These holes were quantified using TDA, and shown to correlate with and provide early indications of certain corrosion mechanisms. The results highlight the potential of TDA to aid in extracting corrosion information from AE data. Further, with TDA aiding traditional AE monitoring, there is potential for early and reliable indication of concrete cracking, prior to the appearance of external visual signs.
机译：研究了拓扑数据分析（TDA）的潜力，帮助声学发射（AE）揭示预应力混凝土中的早期腐蚀的早期迹象。通过腐蚀产生的AE在特征方面被量化，包括累积能量，累积次数的命中和峰值频率。可以使用TDA定量地研究AE Datacloud的形状（即拓扑）特征，其可以嵌入腐蚀相关信息。提出的方法在预应力混凝土样本的加速腐蚀试验中评价。 AE在混凝土表面上非侵入地记录，超过600 000次击中118次加速腐蚀（跨越206d）。大型AE Datacloud包含孔，在腐蚀过程中打开和封闭在不同点附近。使用TDA定量这些孔，并显示与某些腐蚀机制的早期适应症相关。结果突出了TDA的潜力，帮助提取来自AE数据的腐蚀信息。此外，通过TDA辅助传统的AE监测，在外部视觉迹象的外观之前，存在早期可靠地指示混凝土裂缝。

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