Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Andrea, Serani"'
Autor:
Andrea Serani, Matteo Diez
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 11, p 1979 (2024)
This paper explores the integration of advanced machine learning (ML) techniques within simulation-based design optimization (SBDO) processes for naval applications, focusing on the hydrodynamic shape optimization of the DTMB 5415 destroyer model. Th
Externí odkaz:
https://doaj.org/article/f08d2a59586d4a538c84c92af687bb2f
Autor:
Emanuele Spinosa, Riccardo Pellegrini, Antonio Posa, Riccardo Broglia, Mario De Biase, Andrea Serani
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 12, p 2232 (2023)
The paper presents the use of a supervised active learning approach for the solution of a simulation-driven design optimization (SDDO) problem, pertaining to the resistance reduction of a destroyer-type vessel in calm water. The optimization is formu
Externí odkaz:
https://doaj.org/article/65ac218be5f0412bbda2437394bd2e02
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 6, p 1220 (2023)
This study investigates the underlying mechanisms governing the evolution of tip vortices in the far field of a naval propeller wake. To achieve this, a novel approach utilizing data clustering applied to particle image velocimetry snapshots is emplo
Externí odkaz:
https://doaj.org/article/f5341533e56f4c3a885a99430adf9ad8
Autor:
Daniele Cavanna, Kamila Hurkova, Zbyněk Džuman, Andrea Serani, Matteo Serani, Chiara Dall’Asta, Monika Tomaniova, Jana Hajslova, Michele Suman
Publikováno v:
ACS Omega, Vol 5, Iss 38, Pp 24169-24178 (2020)
Externí odkaz:
https://doaj.org/article/9d4ec2773e824309b80a0239bf84c43f
Autor:
Riccardo Pellegrini, Andrea Serani
Publikováno v:
Algorithms, Vol 16, Iss 4, p 191 (2023)
The simulation-based design optimization (SBDO) paradigm is a well-known approach that has assisted, assists, and will continue to assist designers to develop ever-improving systems [...]
Externí odkaz:
https://doaj.org/article/662cb9c52f6f4357baddcfca39c0e069
Autor:
Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Matteo Diez
Publikováno v:
Mathematics, Vol 10, Iss 3, p 481 (2022)
The paper presents a multi-fidelity extension of a local line-search-based derivative-free algorithm for nonsmooth constrained optimization (MF-CS-DFN). The method is intended for use in the simulation-driven design optimization (SDDO) context, where
Externí odkaz:
https://doaj.org/article/74e82faf14ad44fc90557f9d808e2244
Publikováno v:
Journal of Ocean Engineering and Marine Energy. 9:291-307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4ae931fcbe7141fe11b494668076376
https://doi.org/10.1007/s40722-022-00268-5
https://doi.org/10.1007/s40722-022-00268-5
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96c5301fbbe35eaad9143c72d39c9b13
https://doi.org/10.2514/6.2023-1273
https://doi.org/10.2514/6.2023-1273
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d43ac8d46c7624eacbc4ec9c4cb16c2a
https://doi.org/10.2514/6.2023-2546
https://doi.org/10.2514/6.2023-2546
Autor:
Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Matteo Diez
Publikováno v:
Mathematics, Vol 8, Iss 4, p 546 (2020)
The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems. The objective is to show how the hybridization of t
Externí odkaz:
https://doaj.org/article/5925db6e00f84436a97d5ffb1ddbf6ab