2019
DOI: 10.3390/app9081595
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Acoustic Emission Characteristics of Graded Loading Intact and Holey Rock Samples during the Damage and Failure Process

Abstract: Rock burst is the result of the development and extension of micro-cracks during the loading process of large-scale rock mass in underground space engineering. Dynamic monitoring results by acoustic emission (AE) can accurately perceive the inner fracture evolution of rock mass and effectively warn about its induced disasters early. By contrastive testing the AE parameters in the whole fracture process of the intact and holey rock samples under graded loading, their spatiotemporal evolution rules were analyzed… Show more

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Cited by 25 publications
(15 citation statements)
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“…e increase was more significant in the samples after 60-80 freezing-thawing cycles. is result is in agreement with that in Section 3.2 during the axial unloading tests and with that in other studies [20,36].…”
Section: Comparison Of Counting Rates As Shown Insupporting
confidence: 94%
“…e increase was more significant in the samples after 60-80 freezing-thawing cycles. is result is in agreement with that in Section 3.2 during the axial unloading tests and with that in other studies [20,36].…”
Section: Comparison Of Counting Rates As Shown Insupporting
confidence: 94%
“…Because of the instability of the coal pillar in the process, the damage inside the coal pillar will determine the form of macrodamage. Previous scholars have studied the effect of rock types and loading paths on crack propagation through in situ emission but did not consider the effect of loading rate on crack propagation [29,30]. is is the main content of this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Solid materials such as rocks store strain energy in their internal structures. When rocks are subjected to external loads, their internal strain energy will be released rapidly in the form of elastic waves, referred to as acoustic emission (AE) [7][8][9]. AE information analysis methods in the rock fracture process mainly include parameter analysis and waveform analysis.…”
Section: Introductionmentioning
confidence: 99%