Influence of the number of acoustic emission descriptors on the accuracy of destructive process identification in concrete structures

Świt, Grzegorz; Krampikowska, Aleksandra

doi:10.1109/phm.2016.7819756

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…In statistical methods available for structural identification, the optimised selection of AE parameters is critical, i.e., only the parameters that have low mutual correlation should be chosen. The collection of diagnostic variables should be capable of a full-scale characterisation of the most important aspects of the phenomenon under analysis [5].…”

Section: Ae Signals Database [5-8]mentioning

confidence: 99%

Acoustic emission for diagnosing cable way steel support towers

Krampikowska

Świt

2019

MATEC Web Conf.

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The paper reports results of the study on the possibility of using the acoustic emission method in diagnosing fatigue and corrosion damage in steel elements of the cable way support towers. The assessment of the sensitivity of the structure to the recorded destructive processes is based on the structural damage classification method using the patterns created as a result of statistical and mathematical processing of acoustic emission signals through image analysis and grouping methods.

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Section: Ae Signals Database [5-8]mentioning

confidence: 99%

Acoustic emission for diagnosing cable way steel support towers

Krampikowska

Świt

2019

MATEC Web Conf.

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“…The tests aimed at finding predominant destructive processes that might occur during testing of reinforced concrete structures under operation. The database was verified on real facilities [25][26][27][28][29][30][31][32].…”

Section: Acoustic Emission Evaluation Of Gas Pipelinesmentioning

confidence: 99%

Acoustic Emission Method for Locating and Identifying Active Destructive Processes in Operating Facilities

Świt

2018

Applied Sciences

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Featured Application: The data collected can be the basis for determining the structural condition of the structure.Abstract: Durability, safety, and usability are the three foundations of structural reliability, vital in the economic and social context. As the locating and tracking of potential damage and evaluating its impact on the condition of the structure are part of service life assessment, relevant methods should be developed that would detect the onset of the deterioration process and enable the monitoring of its progress within the entire volume of the structure, not only in the areas selected in a subjective way. The acoustic emission (AE) method relying on the analysis of active destructive processes can be the best choice. This article reports the results of the application of the AE method for identifying active destructive processes and tracking their development during the routine operation of various types of structures.

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“…Leading research centers worldwide have devoted a great deal of attention to the development of methods for assessing the condition of structural elements and preventing their failure. As a result, many methods for evaluation of component durability [1,2,3,4,5] are currently in wide use. These methods are based on aversion to change assuming prior knowledge of the element microstructure, load history, and in-service conditions.…”

Section: Introductionmentioning

confidence: 99%

“…In our opinion, the solution to the problems of diagnosing engineering structures is the use of continuous, long-term monitoring using the passive NDT methods. One of them is the acoustic emission (AE) method [4,5,6,7,8,9,10,11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

The Use of the Acoustic Emission Method to Identify Crack Growth in 40CrMo Steel

et al. 2019

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The article presents the application of the acoustic emission (AE) technique for detecting crack initiation and examining the crack growth process in steel used in engineering structures. The tests were carried out on 40CrMo steel specimens with a single edge notch in bending (SENB). In the tests crack opening displacement, force parameter, and potential drop signal were measured. The fracture mechanism under loading was classified as brittle. Accurate AE investigations of the cracking process and SEM observations of the fracture surfaces helped to determine that the cracking process is a more complex phenomenon than the commonly understood brittle fracture. The AE signals showed that the frequency range in the initial stage of crack development and in the further crack growth stages vary. Based on the analysis of parameters and frequencies of AE signals, it was found that the process of apparently brittle fracture begins and ends according to the mechanisms characteristic of ductile crack growth. The work focuses on the comparison of selected parameters of AE signals recorded in the pre-initiation phase and during the growth of brittle fracture cracking.

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Influence of the number of acoustic emission descriptors on the accuracy of destructive process identification in concrete structures

Cited by 7 publications

References 3 publications

Acoustic emission for diagnosing cable way steel support towers

Acoustic emission for diagnosing cable way steel support towers

Acoustic Emission Method for Locating and Identifying Active Destructive Processes in Operating Facilities

The Use of the Acoustic Emission Method to Identify Crack Growth in 40CrMo Steel

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