Giulio Ferri

Dr. Giulio Ferri

Department of Civil and Environmental Engineering, University of Florence, Firenze, Italy
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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1 January 2022 in Renewable Energy
Verified
Journal Article
Closed access
GFGiulio Ferri
Giulio Ferri
EMEnzo Marino
Enzo Marino
NBNiccolò Bruschi
Niccolò Bruschi
CBClaudio Borri
Claudio Borri

29 February 2024 in Renewable Energy
Verified
Journal Article
Closed access
DLDing-Peng Liu
Ding-Peng Liu
GFGiulio Ferri
Giulio Ferri
THTaemin Heo
Taemin Heo
EMEnzo Marino
Enzo Marino
Lance ManuelLance Manuel
Lance Manuel

2 December 2022 in Renewable Energy
Verified
Journal Article
Closed access
GFGiulio Ferri
Giulio Ferri
EMEnzo Marino
Enzo Marino

15 September 2023 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Open access
GFGiulio Ferri
Giulio Ferri
DIDiego Ignesti
Diego Ignesti
EMEnzo Marino
Enzo Marino

8 November 2022 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Closed access
DIDiego Ignesti
Diego Ignesti
GFGiulio Ferri
Giulio Ferri
FAFerdinando Auricchio
Ferdinando Auricchio
Alessandro RealiAlessandro Reali
Alessandro Reali
EMEnzo Marino
Enzo Marino

15 June 2020 in Energies
Verified
Journal Article
Open access
PDF file
GFGiulio Ferri
Giulio Ferri
EMEnzo Marino
Enzo Marino
Claudio BorriClaudio Borri
Claudio Borri
In this paper, an optimal semisubmersible platform is sought considering two key geometry variables: the diameter of the outer cylinders and their radial distance from the platform centre. The goal is to identify a platform configuration able to most efficiently contrast the combined wind-wave action, keeping the platform dimensions as small as possible. The amplitude of the Response Amplitude Operator (RAO) peaks and the integral area of the RAOs in a range of excited frequencies for the selected degrees of freedom are chosen as targets to be minimised. Through an efficient frequency domain simulation approach, we show that upscaling techniques proposed in the literature may lead to overdesigned platforms and that smaller and more performing platforms can be identified. In particular, the optimised platform shows a reduction of about 51% in parked and 54% in power production of the heave RAO peak, and a reduction of about 37% in parked and 50% in power production of the pitch RAO.