Search results for " Acoustic emission"

showing 4 items of 4 documents

Acoustic Emission Waveform Picking with Time Delay Neural Networks during Rock Deformation Laboratory Experiments

2020

Abstract We report a new method using a time delay neural network to transform acoustic emission (AE) waveforms into a time series of instantaneous frequency content and permutation entropy. This permits periods of noise to be distinguished from signals. The model is trained in sequential batches, using an automated process that steadily improves signal recognition as new data are added. The model was validated using AE data from rock deformation experiments, using Darley Dale sandstone in fully drained conditions at a confining pressure of 20 MPa (approximately 800 m simulated depth). The model is initially trained by manual picking of five high-amplitude waveforms randomly selected from t…

Artificial neural networkAcousticsAcoustic EmissionsRock Physics0211 other engineering and technologiesNeural Network02 engineering and technologyDeformation (meteorology)01 natural sciences010305 fluids & plasmasGeophysicsAcoustic emission0103 physical sciencesWaveformGeology021101 geological & geomatics engineeringRock Physics Acoustic Emissions Neural Network
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High-velocity Impact Location on Aircraft panels Using Macro-fiber Composite piezoelectric Rosettes

2010

In this article, an approach based on an array of macro-fiber composite (MFC) transducers arranged as rosettes is proposed for high-velocity impact location on isotropic and composite aircraft panels. Each rosette, using the directivity behavior of three MFC sensors, provides the direction of an incoming wave generated by the impact source as a principal strain angle. A minimum of two rosettes is sufficient to determine the impact location by intersecting the wave directions. The piezoelectric rosette approach is easier to implement than the well-known time-of-flight-based triangulation of acoustic emissions because it does not require knowledge of the wave speed in the material. Hence, th…

Engineeringbusiness.industryMechanical EngineeringAcousticsIsotropyTriangulation (social science)impact location structural health monitoring macro-fiber composite transducers acoustic emissions.DirectivityPiezoelectricitylaw.inventionOpticsAcoustic emissionlawNondestructive testingLight-gas gunGeneral Materials ScienceStructural health monitoringbusinessAstrophysics::Galaxy Astrophysics
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Acoustic Emission Monitoring of Chemically Bonded Anchors

2010

This paper presents a study on the use of acoustic emission (AE) to assess the structural soundness of concrete reinforced with chemically bonded anchors. The results of an experimental work based on six pullout tests monitored using an AE instrumentation suite are reported below. In every test one rebar was embedded in the hardened concrete by means of polyester resin. The AE was adopted to moni- tor the onset and progression of any structural damage. The parametric analysis, the intensity analysis and the moment tensor analysis of AE data were used to discriminate among different sources of damage. The technique shows promise for field application and may contribute to fully understand th…

Polyester resinchemistry.chemical_classificationMaterials scienceParametric analysisbusiness.industryMechanical EngineeringInstrumentationRebarMoment tensorStructural engineeringlaw.inventionAnchor rods Pullout tests Acoustic emission Parameter analysis Moment tensor Intensity analysisAcoustic emissionchemistryMechanics of MaterialslawSolid mechanicsAdhesiveComposite materialSettore ICAR/08 - Scienza Delle CostruzionibusinessJournal of Nondestructive Evaluation
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Source Mechanisms of Laboratory Earthquakes During Fault Nucleation and Formation

2021

Identifying deformation and pre-failure mechanisms preceding faulting is key for fault mechanics and for interpreting precursors to fault rupture. This study presents the results of a new and robust derivation of first motion polarity focal mechanism solutions (FMS) applied to acoustic emission (AE). FMS are solved using a least squares minimization of the fit between projected polarity measurements and the deviatoric stress field induced by dilatational (T-type), shearing (S-type), and compressional (C-type) sources. 4 × 10 cm cylindrical samples of Alzo Granite (AG, porosity <1%) and Darley Dale Sandstone (DDS, porosity ≈14%) underwent conventional triaxial tests in order to investigat…

focal mechanismAcoustic EmissionsNucleationEarthquakes Source mechanisms Rock Deformation Acoustic EmissionsFault (geology)Geochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Earthquakes/dk/atira/pure/subjectarea/asjc/1900/1912precusorySource mechanismsgeographyFocal mechanism/dk/atira/pure/subjectarea/asjc/1900/1908geography.geographical_feature_category/dk/atira/pure/subjectarea/asjc/1900/1906rock deformationGeophysicsAcoustic emissionfractureSpace and Planetary ScienceFracture (geology)/dk/atira/pure/subjectarea/asjc/1900/1901acoustic emissionRock DeformationSeismologyGeology
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