On Effective Placement of Acoustic Emission Sensor in Steel Framed Structure for Damage Detection

Biswas, Anupam Kumar; Datta, Asoke Kumar; Topdar, Pijush; Sengupta, Sharmila

doi:10.1109/ncetstea48365.2020.9119915

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The experimental program setup comprises of a prototype steel frame, an AE acquisition system, a mechanical pencil, and a broadband AE transducer as receiver [6]. The AE transducer (Model: R15D, "Physical Acoustics Corporation") serves as the receiver and is a broadband type sensor with a comparatively flat response between 20 kHz and 1 MHz.…”

Section: Experimental Setup For Collecting the Datamentioning

confidence: 99%

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Acoustic Emission-based Damage Detection and Classification in Steel Frame Structure Using Wavelet Transform and Random Forest

Biswas

Datta²,

Topdar³

et al. 2022

Period. Polytech. Civil Eng.

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This research proposes a unique approach for detecting damage locations and identifying damage kinds. This method is beneficial for discovering and categorizing internal structural faults that vision-based approaches cannot locate. Construction-related vibrations in a steel frame structure can be used as a source for acoustic emission. Sensor devices detect the stress waves produced by structure collapse, and spectrum analysis using wavelet transform of such data is valuable in pinpointing the location of the damage. The col-lected characteristics from these signals are input into the most effective RF (Random Forest) classifier, which are used to categories damage types like cracks and bolt loosening. When compared to previous damage localization approaches, the findings show that the proposed strategy is more efficient and has a higher classification accuracy.

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Section: Experimental Setup For Collecting the Datamentioning

confidence: 99%

“…Inserting sensors in a structure that enable realtime damage monitoring is expensive. Consequently, the count of sensors employed for structural health monitoring should be kept low for economic reasons [6].…”

Section: Introductionmentioning

confidence: 99%