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利用声发射和声谱识别水泥基复合材料中的微观事件并确定破坏过程

The Recognition of the Micro-Events in Cement Composites and the Identification of the Destruction Process Using Acoustic Emission and Sound Spectrum.

作者信息

Logoń Dominik, Schabowicz Krzysztof

机构信息

Faculty of Civil Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland.

出版信息

Materials (Basel). 2020 Jul 4;13(13):2988. doi: 10.3390/ma13132988.

DOI:10.3390/ma13132988
PMID:32635571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7372360/
Abstract

This paper presents the recognition of micro-events and their concentration in quasi-brittle cement composites and the identification of the destruction process based on acoustic emission and sound spectrum. The tests were conducted on a quasi-brittle composite of a cement paste reinforced with a high volume of dispersed polypropylene fibers. The possibility of identifying the destruction process based on acoustic emission and sound spectrum was confirmed. This paper focused on the identification of micro-events using the 3D spectrum. It was shown that the identification of the concentration of micro-events precedes the occurrence of critical crack f, ending the Hooke's law range. The ability to recognize this phenomenon with the use of the 3D spectrum makes it possible to predict the structure destruction process and subsequently to assess the structure destruction (micro and macro-cracks) and the reinforcement destruction (pull-off, breaking). It was confirmed that the three-dimensional spectrum provided additional information, enabling a better recognition of micro and macro-changes in the structure of the samples based on the analysis of sound intensity, amplitudes, and frequencies.

摘要

本文介绍了准脆性水泥基复合材料中微事件的识别及其集中情况,以及基于声发射和声谱对破坏过程的识别。试验是在一种高掺量分散聚丙烯纤维增强水泥净浆的准脆性复合材料上进行的。证实了基于声发射和声谱识别破坏过程的可能性。本文重点利用三维谱识别微事件。结果表明,微事件集中的识别先于临界裂缝f的出现,从而结束胡克定律范围。利用三维谱识别这一现象的能力使得预测结构破坏过程成为可能,并进而评估结构破坏(微观和宏观裂缝)以及增强材料破坏(拔出、断裂)。证实了三维谱提供了额外信息,基于声强、振幅和频率分析,能够更好地识别样品结构中的微观和宏观变化。

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