Probabilistic Improvement of Crack Propagation Monitoring by Using Acoustic Emission

Diakhaté, Malick; Bastidas‐Arteaga, Emilio; Pitti, Rostand Moutou; Schoefs, Franck

doi:10.1007/978-3-319-42195-7_16

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The investigation showed that the most monitored acoustic Eeission parameters were amplitude (A), energy (E) and counts (C), which were frequently studied against time, crack length and load (even in their cumulative form) with their distribution often highlighted. Among the parameters less frequently studied there are the frequency characteristics [11,[16][17][18][19][20][21], other parameters such as the energy release rate (G) [22], the fracture toughness (K) [23,24], root mean square of the signal voltage (RMS) [25][26][27], density surface energy value (DSV) [16,23], stress (σ), strain (ε) [20,[28][29][30][31][32] and modulus of elasticity (MoE) [32,33].…”

Section: Subject Areas Of the Researchmentioning

confidence: 99%

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

et al. 2022

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Among non-destructive testing (NDT) techniques applied to structural health monitoring in existing timber structures, ranging from visual inspection to more sophisticated analysis, acoustic emission (AE) is currently seldomly used to detect mechanical stresses in wooden building assets. This paper presents the results from a systematic literature review on AE NDT applied to monitor micro and macro fracture events in softwood, specifically Scots pine. This survey particularly investigates its application with respect to the tree rings density and grain angle inspection, as influencing factors well correlated with physical and mechanical characteristics of wood. The literature review was performed in a three-step process defined by the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) flow diagram, leading to the selection of 31 documents from different abstract and citation databases (Scopus, Web of Science and Google Scholar). The outcomes have highlighted how laboratory experiments, including several types of tests (tensile, cutting, compressive, etc.), were conducted in most cases, while a very limited number of studies investigated on in situ monitoring. In addition, theoretical approaches were often explored in parallel with the experimental one. It emerges that—for tree ring density studies—a multi-technique approach, which may include microscopic observations, could be more informative. Indeed, although not widely investigated, high/low tree ring density and grain angle were found as influencing factors on the AE parameters detected by the sensors, during condition and structural health monitoring experiments.

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Section: Subject Areas Of the Researchmentioning

confidence: 99%

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

et al. 2022

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“…It is believed that AE signals are related to different types of damage; that is, cell-wall fractures are characterized by high amplitude, high energy, and long-term AE events; cell-wall damage and spallation, cell-wall buckling, and collapse are characterized by low amplitude, low energy, and short-term AE events. Diakhate et al [27,28] performed tensile tests on the double cantilever beam (DCB) specimens. After performing a K-means++ cluster analysis on the acoustic emission data, it was found that the peak frequency and number of counts can identify AE events generated by the crack tip growth during the test.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Approach for the Identification of Instability in the Wood Using Acoustic Emission Technology

Zhao

2020

Forests

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In order to monitor the crack growth of the wood material better and reduce failure risks, this paper studied the attenuation characteristics of acoustic emission signals in wood through pencil lead breaking (PLB) tests, in the aim of estimating the true amplitude value of the acoustic emission source signal. The tensile test of the double cantilever beam (DCB) specimens was used to simulate the crack tip growth within wood material, monitoring acoustic activity and location of crack tips within wood material using acoustic emission technology and digital image correlation (DIC). Results showed that the attenuation degree of acoustic emission signals increased exponentially as the propagation distance increased, and the relationship between relative amplitude attenuation rate and the propagation distance of the acoustic emission signal was established by the regression method, which provides the input parameters for the establishment of the crack instability prediction model in the next step. Based on a thermodynamic approach, a theoretical model for predicting crack instability was established, and the model was verified by DCB tests. The model uses acoustic emission parameters as the basis for judging whether the crack is instable. It provides theoretical support for the application of acoustic emission technology in wood health monitoring.

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Cluster analysis of acoustic emission activity within wood material: Towards a real-time monitoring of crack tip propagation

Diakhaté

Bastidas‐Arteaga

Pitti

et al. 2017

Engineering Fracture Mechanics

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Probabilistic Improvement of Crack Propagation Monitoring by Using Acoustic Emission

Cited by 4 publications

References 13 publications

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

Thermodynamic Approach for the Identification of Instability in the Wood Using Acoustic Emission Technology

Cluster analysis of acoustic emission activity within wood material: Towards a real-time monitoring of crack tip propagation

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