Acoustic Emission

Sause, Markus G. R.

doi:10.1007/978-3-319-30954-5_4

Cited by 8 publications

(10 citation statements)

References 144 publications

(241 reference statements)

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“…For the test frequency of 50 kHz, the phase velocity was extracted from full-field laser vibrometer measurements (see section ''Guided wave measurements part I: 3D acoustic wave field measurements''). The result is compared to phase velocities calculated by finite element modeling following the approach in Sause 35 and shown in Figure 5(b). Within the margin of error, these calculations agree reasonably well with the experimental results.…”

Section: Mechanical Parameter Measurementmentioning

confidence: 99%

Open Guided Waves: online platform for ultrasonic guided wave measurements

Moll

Kathol

Fritzen

et al. 2018

Structural Health Monitoring

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Ultrasonic guided waves have been used successfully in structural health monitoring systems to detect damage in isotropic and composite materials with simple and complex geometry. A limitation of current research is given by a lack of freely available benchmark measurements to comparatively evaluate existing methods. This article introduces the extendable online platform Open Guided Waves ( http://www.open-guided-waves.de ) where high-quality and well-documented datasets for guided wave-based inspections are provided. In this article, we describe quasi-isotropic carbon-fiber-reinforced polymer plates with embedded piezoelectric transducers as a first benchmark structure. Intentionally, this is a structure of medium complexity to enable many researchers to apply their methods. In a first step, ultrasound and X-ray measurements were acquired to verify pristine conditions. Next, mechanical testing was done to determine the stiffness tensor and sample density based on standard test procedures. Guided wave measurements were divided into two parts: first, acoustic wave fields were acquired for a broad range of frequencies by three-dimensional scanning laser Doppler vibrometry. Second, structural health monitoring measurements in the carbon-fiber-reinforced polymer plate were collected at constant temperature using a distributed transducer network and a surface-mounted reversible defect model. Initial results serving as validation are presented and discussed.

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Section: Mechanical Parameter Measurementmentioning

confidence: 99%

Open Guided Waves: online platform for ultrasonic guided wave measurements

Moll

Kathol

Fritzen

et al. 2018

Structural Health Monitoring

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“…Accordingly, this results in typical sampling rates in research applications that are well beyond 5 MSP/s (million samples per second) because of the required oversampling for adequate signal digitization. In particular, for composite materials, some AE sources exhibit highfrequency components that resemble very critical failure modes, such as fiber breakage (Grosse and Ohtsu 2008;Sause 2016). Based on sensor spacing, much of the high-frequency information is lost during propagation, which consequently may result in lesser sampling rates for practical structural health monitoring applications.…”

Section: Acoustic Emissionmentioning

confidence: 99%

“…amplitudes, frequencies, and more) are calculated from the signals (see Sect. 6.4.1 or standard literature on concise definition (Grosse and Ohtsu 2008;Sause 2016)). This wellestablished procedure is by far the most effective data reduction step in AE, turning a typical AE signal of 100 kB into a dataset of only 100-150 B.…”

Section: Acoustic Emissionmentioning

confidence: 99%

Data Reduction Strategies

Bhowmik

Quqa

Sause

et al. 2021

Structural Health Monitoring Damage Detection Systems for Aerospace

Self Cite

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Based on the variety of methods available for gathering data for the aircraft health status, the challenge is to reduce the overall amount of data in a trackable and safe manner to ensure that the remaining data are characteristic of the current aircraft status. This chapter will cover available data reduction strategies for this task and discuss the data intensity of the SHM methods of Chaps. 10.1007/978-3-030-72192-3_5 to 10.1007/978-3-030-72192-3_8 and established approaches to deal with the acquired data. This includes aspects of algorithms and legal issues arising in this context.

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“…The acoustic emission (AE) technique is based on the detection and interpretation of sound waves that are caused by rapid internal displacements in a material and traveling at an ultrasonic velocity [1,2]. The formation and propagation of cracks due to different damage sources are the sources of these acoustic signals.…”

Section: Introductionmentioning

confidence: 99%

“…An introduction to CFRP composites and their damage modes can be found in several standard textbooks and the literature [10][11][12]. Similarly, a basic introduction about the AE technique and its application to the damage propagation analysis in CFRP can also be found in standard textbooks and several review articles [2,3,[13][14][15]. To avoid any redundant information, basic introductions are not provided in this section.…”

Section: Introductionmentioning

confidence: 99%

Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites

et al. 2021

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Assessing the damage evolution in carbon-fiber-reinforced polymer (CFRP) composites is an intricate task due to their complex mechanical responses. The acoustic emission technique (AE) is a non-destructive evaluation tool that is based on the recording of sound waves generated inside the material as a consequence of the presence of active defects. Proper analysis of the recorded waves can be used for monitoring the damage evolution in many materials, including composites. The acoustic track associated with the entire loading history of the sample or the structures is usually followed by using some descriptors, such as the amplitude of the sound waves and the number of counts. In this study, the acoustic emission in CFRP single-lap shear joints was monitored by using a multiparameter approach based on the contemporary analysis of multiple features, such as the absolute signal level (ASL), initiation frequency, and reverberation frequency, to understand whether a proper combination of them can be adopted for a more robust description of the damage propagation in CFRP structures. For selecting the best features, principal component analysis (PCA) was used. The selected features were classified into different clusters using fuzzy c-means (FCM) data clustering for analyzing the damage modes.

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Acoustic Emission

Cited by 8 publications

References 144 publications

Open Guided Waves: online platform for ultrasonic guided wave measurements

Open Guided Waves: online platform for ultrasonic guided wave measurements

Data Reduction Strategies

Multiparameter Approach for Damage Propagation Analysis in Fiber-Reinforced Polymer Composites

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