Embedded Damage Localization Subsystem Based on Elastic Wave Propagation

Wandowski, Tomasz; Malinowski, Paweł; Ostachowicz, Wiesław; Rawski, Mariusz; Tomaszewicz, Paweł; Łuba, T.; Borowik, Grzegorz

doi:10.1111/mice.12129

Cited by 22 publications

(16 citation statements)

References 32 publications

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“…Lamb waves are the most widely used guided ultrasonic waves for damage detection. Large structures, instrumented with low-profile surface-bonded piezoceramic transducers, can be monitored for different types of internal and surface damage with Lamb waves, as illustrated in Lee et al (2003), Na et al (2003), Su et al (2006), Croxford et al (2007), Wandowski et al (2015). Recent years have shown much interest in the third approach.…”

Section: Introductionmentioning

confidence: 99%

Stationarity‐Based Approach for the Selection of Lag Length in Cointegration Analysis Used for Structural Damage Detection

Dao

Staszewski

Klepka

2016

Computer aided Civil Eng

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Cointegration has been recently brought to structural health monitoring (SHM) as a new methodology for dealing with the problem of environmental and/or operational variability in monitored structures. However, it is well known that the choice of lag length in cointegration analysis has a strong influence on damage detection results. The article presents a new approach for optimal lag length selection in cointegration analysis used for structural damage detection. This new method is based on stationarity analysis of data representing undamaged condition. The proposed method is validated using Lamb wave data under the effects of temperature variations and vibroacoustic data obtained from nonlinear vibroacoustic modulation experiments with different low‐frequency vibration (or modal) excitations. The results demonstrate the effectiveness of the method for structural damage detection based on SHM data heavily affected by environmental or operational conditions.

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Section: Introductionmentioning

confidence: 99%

Stationarity‐Based Approach for the Selection of Lag Length in Cointegration Analysis Used for Structural Damage Detection

Dao

Staszewski

Klepka

2016

Computer aided Civil Eng

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“…Previous studies have shown that the peak frequency of AE signals produced in concrete is below 300 kHz . For different damage modes in concrete, the peak frequencies are also different, so the peak frequency can be used to identify different damage patterns in concrete . This principle also applies to mortar.…”

Section: Resultsmentioning

confidence: 99%

Fracture monitoring and damage pattern recognition for carbon nanotube‐crumb rubber mortar using acoustic emission techniques

Han

et al. 2019

Struct Control Health Monit

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Summary This article presents the results from an experimental study on the application of acoustic emission (AE) analysis to assess the strengthening effect of carbon nanotubes and monitoring the damage progression of carbon nanotube‐crumb rubber mortar (CNT‐CRM) under three‐point flexural tests. Normal cement mortar and CRM were also tested for the comparison with CNT‐CRM. The various AE statistical parameters were employed for the analysis, and the following conclusions were drawn: (a) The incorporation of carbon nanotubes can increase the strength and ductility of CRM. (2) The damage and fracture processes of CNT‐CRM can be well analyzed according to the double evaluation index of cumulative number of hits and cumulative energy. (3) Ib‐value analysis can provide a good early warning of structural damage for CNT‐CRM. (4) The peak frequency and the average frequency can effectively distinguish the AE signals of different damage modes in CNT‐CRM. The results obtained in this article demonstrate that the AE technique can provide valuable information for a better understanding of micro‐cracking and fracture monitoring of CNT‐CRM.

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“…AE can be operated continuously, whereas guided waves have to be excited and then recorded after suitable propagation distances (242,336). Guided wave monitoring can also be performed with phased array technology (337) or by looking at reflections from discontinuities or defects with the emitting transducer or with a sensor array around it (338). The application of guided waves and related methods, for example, electromechanical impedance testing, to PMC structures has been reviewed in Ref.…”

Section: Determination Of Structuralmentioning

confidence: 99%

Nondestructive Testing of Polymers and Polymer–Matrix Composites

Brunner

Hack

Neuenschwander

2015

Encyclopedia of Polymer Science and Technology

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Because of their unique properties, polymers and polymer–matrix composites pose both challenges and opportunities for nondestructive testing. The increasing use of these materials creates a demand for nondestructive verification of various properties or specifications, determination of structural integrity, or prediction of service‐life. On the other hand, development of new nondestructive test methods, improved sensitivity, or faster data acquisition and analysis may allow for nondestructive testing applications that hitherto did not seem feasible or economical. This article provides a brief overview of established methods and emerging applications in nondestructive testing of polymers and polymer–matrix composites.

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Embedded Damage Localization Subsystem Based on Elastic Wave Propagation

Abstract: This article presents an embedded signal processing subsystem constituting a part of a whole structural health monitoring system (SHM

Cited by 22 publications

References 32 publications

Stationarity‐Based Approach for the Selection of Lag Length in Cointegration Analysis Used for Structural Damage Detection

Stationarity‐Based Approach for the Selection of Lag Length in Cointegration Analysis Used for Structural Damage Detection

Fracture monitoring and damage pattern recognition for carbon nanotube‐crumb rubber mortar using acoustic emission techniques

Nondestructive Testing of Polymers and Polymer–Matrix Composites

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