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Giuseppe Lacidogna

Researcher at Polytechnic University of Turin

Publications -  305
Citations -  5748

Giuseppe Lacidogna is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Acoustic emission & Masonry. The author has an hindex of 39, co-authored 289 publications receiving 4787 citations.

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Structural damage diagnosis and life-time assessment by acoustic emission monitoring

TL;DR: In this article, the acoustic emission technique is applied to identify defects and damage in reinforced concrete structures and masonry buildings and a particular methodology has been put forward for crack propagation monitoring and damage assessment, in structural elements under service conditions.
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From criticality to final collapse: Evolution of the ''b-value" from 1.5 to 1.0

TL;DR: In this paper, the authors proposed a statistical interpretation for the variation of the b-value during the evolution of damage, based on a treatment originally proposed by Carpinteri A. The proposed model captures the transition from the condition of criticality, in which α = 3, to that of imminent failure, characterized by α = 2, in terms of damage localisation.
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A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm

TL;DR: The proposed method with two stages to select proper variables, simplify parameter settings, and predict HPCCS shows a strong generalization capacity, and the prediction performance of the model is better when the input variables are expressed as absolute mass.
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Reliable onset time determination and source location of acoustic emissions in concrete structures

TL;DR: In this paper, an improved approach based on the Akaike Information Criterion (AIC) is proposed to provide more reliable onset time determination of acoustic emission (AE) signals.
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Critical defect size distributions in concrete structures detected by the acoustic emission technique

TL;DR: A non-destructive method based on the acoustic emission (AE) technique has proved to be highly effective to assess and measure the damage phenomena taking place inside a structure subjected to mechani- cal loading as discussed by the authors.