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Enrique Castro

Researcher at University of Granada

Publications -  61
Citations -  585

Enrique Castro is an academic researcher from University of Granada. The author has contributed to research in topics: Acoustic emission & Wavelet. The author has an hindex of 15, co-authored 61 publications receiving 539 citations. Previous affiliations of Enrique Castro include University of Jaén.

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Ti and Cr nitride coating/steel adherence assessed by acoustic emission wavelet analysis

TL;DR: In this paper, the wavelet transform was applied to acoustic emission (AE) signals from scratch tests on stainless steel samples with Cr or Ti nitride coatings obtained by physical vapor deposition, in order to characterize the coating adherence failure mechanisms.
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Wavelet power, entropy and bispectrum applied to AE signals for damage identification and evaluation of corroded galvanized steel

TL;DR: In this paper, a wavelet transform analysis of hot dip galvanized samples with different corrosion levels was carried out, where wavelet power was distributed in different frequency bands, according to damage mechanisms.
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Evaluation of low-cycle fatigue damage in RC exterior beam-column subassemblages by acoustic emission

TL;DR: In this article, the authors investigated the applicability of acoustic emissions for assessing the low-cycle fatigue damage in reinforced concrete (RC) exterior beam-column subassemblages, which are especially vulnerable parts of the RC frames when subjected to earthquakes.
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Identification of coating damage processes in corroded galvanized steel by acoustic emission wavelet analysis

TL;DR: In this paper, scratch tests using Acoustic Emission (AE) were performed on corroded hot dip galvanized samples, and different coating damage mechanisms could be assigned to different bands.
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AE Monitoring for Damage Assessment of RC Exterior Beam-column Subassemblages Subjected to Cyclic Loading:

TL;DR: In this article, a cyclic test is conducted on an exterior connection until its failure, and a tentative formula is proposed, to predict the level of damage and the closeness to failure of the connection on the basis of the acoustic emissions recorded by one piezoelectric sensor located near the critical zone (i.e., the beam-end and beam-column joint).