Correlation between acoustic emission parameters of a growing crack, the stress intensity factor, and the type of stressed state

Builo, S. I.

doi:10.1134/s1061830906030053

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…For example, Roberts et al linked AE count rate with crack growth [19,31] in an effort to predict the materials remaining life, while others also attempted to identify noise sources such as friction [32]. Similar methods have been used to link observed AE data-trends with fracture [2,4,13,15,18,20,33] and crack growth [1,16,19,31,[34][35][36][37][38] in metallic materials. In the case of composite materials, features such as the frequency content of the AE signals have been suggested for identifying damage mechanisms [22,39].…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission signal processing framework to identify fracture in aluminum alloys

Wisner

Mazur

Perumal

et al. 2019

Engineering Fracture Mechanics

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Acoustic emission (AE) is a common nondestructive evaluation tool that has been used to monitor fracture in materials and structures. The direct connection between AE events and their source, however, is difficult because of material, geometry and sensor contributions to the recorded signals. Moreover, the recorded AE activity is affected by several noise sources which further complicate the identification process. This article uses a combination of in situ experiments inside the scanning electron microscope to observe fracture in an aluminum alloy at the time and scale it occurs and a novel AE signal processing framework to identify characteristics that correlate with fracture events. Specifically, a signal processing method is designed to cluster AE activity based on the selection of a subset of features objectively identified by examining their correlation and variance. The identified clusters are then compared to both mechanical and in situ observed microstructural damage. Results from a set of nanoindentation tests as well as a carefully designed computational model are also presented to validate the conclusions drawn from signal processing.

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Section: Introductionmentioning

confidence: 99%

Acoustic emission signal processing framework to identify fracture in aluminum alloys

Wisner

Mazur

Perumal

et al. 2019

Engineering Fracture Mechanics

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“…Moreover, during diagnostics, the personnel and the analytical data processing units of the system can be far from the object, which is important in case of risk of an emergency [1,11]. The method is most frequently used for continuous monitoring usually for a rather long time, sometimes for the entire service life.Experimental research has reliably established a relationship between the spectral and energy characteristics of acoustic emission noise and the scales of the deformation processes in materials [2,3,9,11,14,16,19,20,25,27]. Moreover, the current understanding of fracture mechanics [10,17,[21][22][23] allows us to provide a well-founded (to some extent) physical interpretation for this relationship.…”

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confidence: 96%

Modeling the Radiation of Ultrasonic Waves by a Unit Source of Acoustic Emission Noise

Petrishchev

Trushko

2015

Int Appl Mech

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The generation of radial Lamb waves by a system of volume and surface loads acting within a finite region of an isotropic elastic plate is studied. General solutions are used to model the emission of ultrasonic waves in an isotropic plate by a unit source of acoustic emission noise of two model configurations: linear and point. It is established that the results for a pulsating linear source are in qualitative agreement with Torwick's solution to the physically equivalent problem of the emission of Lamb waves by a longitudinal harmonic force acting at the end of a half-strip. The generation of Lamb waves in a plate by a point source is modeled to asses how effectively the energy of elastic vibrations is extracted from the source and is transferred through the plate by different modes and at different frequencies Keywords: acoustic emission, Lamb waves, nondestructive testing Introduction. Of many nondestructive testing methods, the acoustic-emission method has recently become more and more popular. This method has the following considerable advantages. First, the method is applied not to detect current damage, but to predict, by analyzing test data, the development of damage depending on the operating conditions. Such a prediction does not assume conducting external calculations or invoking the structure design and operation history [11]. Second, unlike the active methods in which the parameters of radiation are a factor that affects, to some extent, the test data, the "primary source" in this method is a defect [9]. Third, the diagnostic process does not require constant active participation of the personnel after installation and setting of the diagnostic system. Moreover, during diagnostics, the personnel and the analytical data processing units of the system can be far from the object, which is important in case of risk of an emergency [1,11]. The method is most frequently used for continuous monitoring usually for a rather long time, sometimes for the entire service life.Experimental research has reliably established a relationship between the spectral and energy characteristics of acoustic emission noise and the scales of the deformation processes in materials [2,3,9,11,14,16,19,20,25,27]. Moreover, the current understanding of fracture mechanics [10,17,[21][22][23] allows us to provide a well-founded (to some extent) physical interpretation for this relationship.An experimentally proved fact is that the acoustic-emission method can be used to measure stresses (strains) in a material, detect various defects, determine their coordinates, assess the danger of defects, and solve other problems of structural assessment. These methods have not, however, been applied in practice at a level appropriate to their real capabilities. This is due to their relative novelty and some unclear aspects of the acoustic-emission theory such as the mechanism of delivery of energy from a source of acoustic emission noise along structural elements as waveguides to an electroacoustic transducer detecting ultrasonic waves. A featur...

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Monitoring the Evolution of Crazing Damage in an Area under Stress Concentration via Acoustic Emission

Gao

Xing

2018

Int. J. Precis. Eng. Manuf.

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Correlation between acoustic emission parameters of a growing crack, the stress intensity factor, and the type of stressed state

Cited by 6 publications

References 5 publications

Acoustic emission signal processing framework to identify fracture in aluminum alloys

Acoustic emission signal processing framework to identify fracture in aluminum alloys

Modeling the Radiation of Ultrasonic Waves by a Unit Source of Acoustic Emission Noise

Monitoring the Evolution of Crazing Damage in an Area under Stress Concentration via Acoustic Emission

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