Cluster identification of acoustic emission parameters for bending-tensile damage of rock-concrete composite beams

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (19) : 274-281.

CHEN Xudong1, GUO Yuzhu1, HU Liangpeng1, BAI Yin2, NING Yingjie3

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Abstract

In order to study the bending damage characteristics of the surrounding rock-concrete lining structure, four rock-concrete composite beams were prepared by selecting two types of rock (granite and black sandstone) and two types of concrete (fiber and fiberless). The composite beams were tested in four-point bending using MTS testing machine, and the bending damage process of the composite beams was monitored using acoustic emission (AE) technique. The damage localization results of acoustic emission showed that the main damage processes of the rock-concrete composite beams can be divided into four stages: concrete damage section, interface damage section, rock damage section and residual bearing section. To identify the damage types at each stage of flexural damage of composite beams, a Gaussian mixture model was used to cluster the acoustic emission parameters and compared with the conventional RA-AF analysis method. Compared with the conventional RA-AF analysis method, the Gaussian mixture model does not require artificially selected empirical parameters, and the identification of damage is more scientific and reasonable. In addition, the results of the Gaussian hybrid model analysis show that the rock-concrete composite beam mainly occurs in tensile damage (accounting for more than 87.9%), and only a small amount of shear damage is generated (accounting for less than 12.1%).
Key words: surrounding rock; concrete; acoustic emission; Gaussian mixture model; damage

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surrounding rock / concrete / acoustic emission / Gaussian mixture model / damage

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CHEN Xudong1, GUO Yuzhu1, HU Liangpeng1, BAI Yin2, NING Yingjie3. Cluster identification of acoustic emission parameters for bending-tensile damage of rock-concrete composite beams[J]. Journal of Vibration and Shock, 2022, 41(19): 274-281

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