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Rosa Piotrkowski

Researcher at University of Buenos Aires

Publications -  48
Citations -  604

Rosa Piotrkowski is an academic researcher from University of Buenos Aires. The author has contributed to research in topics: Acoustic emission & Wavelet. The author has an hindex of 14, co-authored 47 publications receiving 518 citations. Previous affiliations of Rosa Piotrkowski include Martin University & National University of General San Martín.

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Acoustic emission energy b-value for local damage evaluation in reinforced concrete structures subjected to seismic loadings

TL;DR: In this article, a modification of the original b-value (Gutenberg-Richter parameter) is proposed to evaluate local damage of reinforced concrete structures subjected to dynamical loads via the acoustic emission (AE) method.
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Damage assessed by wavelet scale bands and b-value in dynamical tests of a reinforced concrete slab monitored with acoustic emission

TL;DR: In this article, the complex Morlet continuous wavelet transform (CWT) was applied to acoustic emission (AE) signals from dynamic tests conducted on a reinforced concrete slab with a shaking table.
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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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Coating adherence in galvanized steel assessed by acoustic emission wavelet analysis

TL;DR: In this article, acoustic emission wavelet analysis in scratch tests on hot-dip galvanized samples is compared with optical and electron microscopy observations in order to understand coating features related to adherence and to establish criteria aimed at improving the manufacture process.