Federico Accornero

Prof. Dr. Federico Accornero

College of Engineering, Shantou University, Shantou, Guangdong, China
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2020 in Construction and Building Materials
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Journal Article
Closed access
GLGiuseppe Lacidogna
Giuseppe Lacidogna
GPGianfranco Piana
Gianfranco Piana
Federico AccorneroFederico Accornero
Federico Accornero
ACAlberto Carpinteri
Alberto Carpinteri

26 May 2023 in Construction and Building Materials
Verified
Journal Article
Open access
RCRaffaele Cucuzza
Raffaele Cucuzza
ANGELO ALOISIOANGELO ALOISIO
ANGELO ALOISIO
Federico AccorneroFederico Accornero
Federico Accornero
AMAntonella Marinelli
Antonella Marinelli
EBElisa Bassoli
Elisa Bassoli
GMGiuseppe Carlo Marano
Giuseppe Carlo Marano

3 August 2024 in Construction and Building Materials
Verified
Journal Article
Closed access
Zihan JiangZihan Jiang
Zihan Jiang
ZZZhiwen Zhu
Zhiwen Zhu
Federico AccorneroFederico Accornero
Federico Accornero
CWChuanlin Wang
Chuanlin Wang

12 November 2014 in Rendiconti Lincei. Scienze Fisiche e Naturali
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Journal Article
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Gianni NiccoliniGianni Niccolini
Gianni Niccolini
OBOscar Borla
Oscar Borla
Federico AccorneroFederico Accornero
Federico Accornero
Giuseppe LacidognaGiuseppe Lacidogna
Giuseppe Lacidogna
ACAlberto Carpinteri
Alberto Carpinteri

4 July 2024 in Buildings
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Journal Article
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Zihan JiangZihan Jiang
Zihan Jiang
ZZZhiwen Zhu
Zhiwen Zhu
Federico AccorneroFederico Accornero
Federico Accornero
Steel-fibre-reinforced concrete (SFRC) has been increasingly used in the field of engineering structures in recent years. Hence, the accurate monitoring of the fracturing process of in-service SFRC has considerable significance in terms of structural safety. This paper investigates the acoustic emission (AE) and digital image correlation (DIC) features characterising the damage behaviour of SFRC samples in compression. For all the tests, cumulated AE, b-value, βt coefficient, average frequency, and rise angle are considered to describe the actual SFRC failure mechanisms. The results show that SFRC exhibits enhanced toughness compared to normal concrete (NC), with an indicated transition from a brittle to a ductile structural behaviour. This improved behaviour can be attributed to the bridging effect of steel fibres, which also drives the progressive tensile-to-shear crack transition, thus being the main cause of the final SFRC failure. As the loading rate increases, there is a corresponding increase in the number of shear cracks, leading to a decrease in the overall ductility and toughness of SFRC. Moreover, since the number of shear cracks notably increases right before SFRC fracture, this can serve as a safety warning of the impending failure. Furthermore, the cumulated AE curve displays a strong discontinuity in the occurrence of an unstable fracturing process in SFRC, which can also be forecasted by the AE time-scaling coefficient βt. The AE and DIC features can be used as failure precursors in the field of structural surveying, offering an accurate technical support for engineering failure warnings.

18 September 2018 in Applied Sciences
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Journal Article
Open access
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ACAlberto Carpinteri
Alberto Carpinteri
Giuseppe LacidognaGiuseppe Lacidogna
Giuseppe Lacidogna
Federico AccorneroFederico Accornero
Federico Accornero
It is well known in literature that frequency fluctuations of different physical quantities clearly show 1/f noise power spectra. In the present work, the authors observe that in some brittle materials, such as concrete, masonry, and mortar, Acoustic Emission (AE) signals, generating from brittle fracture phenomena, exhibit a frequency fluctuation approaching to 1/f. Acoustic Emission data obtained from laboratory tests on concrete samples, and from in-situ monitoring of some important Italian historical buildings are reported in terms of spectral density vs. frequency. It is shown that in structural elements subjected to different load conditions, the frequency fluctuations are 1/f like. The study and interpretation of these phenomena through the use of the AE technique can be therefore very useful for identifying the transition from the critical conditions of a structure to those that involve an incipient collapse.