Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Antonio Agresta"'
Autor:
Antonio Agresta, Marco Baioletti, Chiara Biscarini, Fabio Caraffini, Alfredo Milani, Valentino Santucci
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10575 (2021)
Climate change threats make it difficult to perform reliable and quick predictions on floods forecasting. This gives rise to the need of having advanced methods, e.g., computational intelligence tools, to improve upon the results from flooding events
Externí odkaz:
https://doaj.org/article/b13aac08f36b4ff5b6a2ca145ec31fd0
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 605 (2021)
The present work aims at understanding and modelling some key aspects of the sloshing phenomenon, related to the motion of water inside a container and its effects on the substructure. In particular, the attention is focused on the effects of bottom
Externí odkaz:
https://doaj.org/article/a90924f70de24d5a9fd9a7193e36a2d2
Autor:
Andrea Luigi Facci, Giacomo Falcucci, Antonio Agresta, Chiara Biscarini, Elio Jannelli, Stefano Ubertini
Publikováno v:
Water, Vol 11, Iss 5, p 1048 (2019)
In this paper we present a computational model for the fluid structure interaction of a buoyant rigid body immersed in a free surface flow. The presence of a free surface and its interaction with buoyant bodies make the problem very challenging. In f
Externí odkaz:
https://doaj.org/article/273c84b5d79a4001ae2aaccb50478617
Autor:
Romina Fasciani, Antonio Agresta, Alice Caristia, Luigi Mosca, Andrea Scupola, Aldo Caporossi
Publikováno v:
Case Reports in Ophthalmological Medicine, Vol 2015 (2015)
Purpose. To report the risk of methicillin-resistant Staphylococcus aureus (MRSA) ocular infection after UVA-riboflavin corneal collagen cross-linking in a patient with atopic dermatitis. Methods. A 22-year-old man, with bilateral evolutive keratocon
Externí odkaz:
https://doaj.org/article/644aafc4613145d3b799db69ad1a02cf
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031302282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcabc83ed436b094ff9e8e019fb918af
https://doi.org/10.1007/978-3-031-30229-9_31
https://doi.org/10.1007/978-3-031-30229-9_31
Purpose To evaluate the incidence of rebubbling for graft detachment in two different surgical techniques and postoperative management of Ultrathin Descemet’s Stripping Automated Endothelial Keratoplasty (UT-DSAEK). Methods A Longitudinal retrospec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df6ec7b89460b93888b30887a8874d03
https://doi.org/10.21203/rs.3.rs-1284448/v1
https://doi.org/10.21203/rs.3.rs-1284448/v1
Publikováno v:
Computers & Fluids. 183:130-147
A stochastic analysis of the cavitation model parameter sensitivity is carried out for internal flows relevant to injector configurations. Stochastic methodologies, namely generalized polynomial chaos and stochastic collocation, are used to obtain co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69c0320fd2b4180a4eb97ce6546e752e
https://doi.org/10.1016/j.compfluid.2019.01.012
https://doi.org/10.1016/j.compfluid.2019.01.012
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783030726980
EvoApplications
EvoApplications
Management and analyses of water resources is of paramount importance in the implementation of water related sustainable development goals. Hydraulic models are key in flood forecasting and simulation applied to a river flood analysis and risk predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dbc9b9da2dd2958543b1c3a0dbfda70
https://doi.org/10.1007/978-3-030-72699-7_50
https://doi.org/10.1007/978-3-030-72699-7_50
This paper presents an experimental investigation about the dissipation properties of Tuned Sloshing Dampers (TSDs) characterized by different bottom geometries. An experimental campaign on sloped and rounded shaped TSDs is carried out considering a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4849bad1e2ee6d114cad545fdfaf952f
http://hdl.handle.net/11391/1498731
http://hdl.handle.net/11391/1498731
Publikováno v:
Lecture Notes in Computational Science and Engineering ISBN: 9783030487201
A stochastic sensitivity analysis and calibration of the cavitation model parameters in the URANS simulations of a configuration representative of high-pressure injectors for automotive applications is carried out. A popular homogeneous-flow cavitati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90541d49842eb429a9f265101141da8d
https://doi.org/10.1007/978-3-030-48721-8_9
https://doi.org/10.1007/978-3-030-48721-8_9