Hull-form stochastic optimization via computational-cost reduction methods

Autor: Matteo Diez, Emilio F. Campana, Frederick Stern, Andrea Serani

Publikováno v: Engineering with computers mar 2021 (2021). doi:10.1007/s00366-021-01375-x
info:cnr-pdr/source/autori:Serani A.; Stern F.; Campana E.F.; Diez M./titolo:Hull-form stochastic optimization via computational-cost reduction methods/doi:10.1007%2Fs00366-021-01375-x/rivista:Engineering with computers/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:mar 2021

The paper shows how cost-reduction methods can be synergistically combined to enable high-fidelity hull-form optimization under stochastic conditions. Specifically, a multi-objective hull-form optimization is presented, where (a) physics-informed des

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f94c4568f6cf7065ab5f2f5b714b3210
https://doi.org/10.1007/s00366-021-01375-x

Accurate experimental benchmark study of a catamaran in regular and irregular head waves including uncertainty quantification

Autor: Matteo Diez, A. Olivieri, Frederick Stern, Riccardo Broglia, Danilo Durante, Emilio F. Campana

Publikováno v: Ocean engineering 195 (2020). doi:10.1016/j.oceaneng.2019.106685
info:cnr-pdr/source/autori:Durante, D.(1); Broglia, R.(1); Diez, M.(1); Olivieri, A.(1); Campana, E. F.(1); Stern, F.(2)/titolo:Accurate experimental benchmark study of a catamaran in regular and irregular head waves including uncertainty quantification/doi:10.1016%2Fj.oceaneng.2019.106685/rivista:Ocean engineering/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:195

Irregular wave experiments are essential to assess the statistics of ship responses in realistic operating conditions and to validate the associated numerical simulations. The cost and time required to achieve statistically-converged results are usua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01a789327740f10cf1888beb9e1f3f80
http://www.cnr.it/prodotto/i/416214

Stochastic optimization methods for ship resistance and operational efficiency via CFD

Autor: Frederick Stern, Emilio F. Campana, Matteo Diez

Publikováno v: Structural and multidisciplinary optimization
57 (2018): 735–758. doi:10.1007/s00158-017-1775-4
info:cnr-pdr/source/autori:Diez, Matteo (1,2); Campana, Emilio F.(1); Stern, Frederick (2)/titolo:Stochastic optimization methods for ship resistance and operational efficiency via CFD/doi:10.1007%2Fs00158-017-1775-4/rivista:Structural and multidisciplinary optimization (Print)/anno:2018/pagina_da:735/pagina_a:758/intervallo_pagine:735–758/volume:57

Hull-form stochastic optimization methods are presented and evaluated for resistance reduction and operational efficiency (operability), addressing stochastic sea state and operations. The cost/benefit analysis of the optimization procedure is presen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0921c0e4567d89e43213136d4b8da832
https://doi.org/10.1007/s00158-017-1775-4

Assessment of Computational Fluid Dynamics Capabilities for the Prediction of Three-Dimensional Separated Flows: The DELFT 372 Catamaran in Static Drift Conditions

Autor: Emilio F. Campana, Frederick Stern, Michel Visonneau, Hamid Sadat-Hosseini, Riccardo Broglia, Timur Dogan, E. Milanov, Patrick Queutey, Stefano Zaghi

Publikováno v: Journal of Fluids Engineering
Journal of Fluids Engineering, American Society of Mechanical Engineers, 2019, 141 (9), ⟨10.1115/1.4042752⟩
Journal of fluids engineering 141 (2019): 091105-1–091105-28. doi:10.1115/1.4042752
info:cnr-pdr/source/autori:Broglia, R.(1); Zaghi, S.(1); Campana, E. F.(1); Dogan, T.(2); Sadat-Hosseini, H.(3); Stern, F.(2); Queutey, P.(4); Visonneau, M.(4); Milanov, E. (5)/titolo:Assessment of Computational Fluid Dynamics Capabilities for the Prediction of Three-Dimensional Separated Flows: The Delft 372 Catamaran in Static Drift Conditions/doi:10.1115%2F1.4042752/rivista:Journal of fluids engineering/anno:2019/pagina_da:091105-1/pagina_a:091105-28/intervallo_pagine:091105-1–091105-28/volume:141

International audience; In this paper, capabilities of state-of-the-art computational fluid dynamics (CFD) tools in the prediction of the flow-field around a multihull catamaran advancing in straight ahead motion at nonzero drift angles are investiga

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73be8d35b6fedc3a6d9dae522e8d7124
https://hal.archives-ouvertes.fr/hal-02391351/document

Hybrid global/local derivative-free multi-objective optimization via deterministic particle swarm with local linesearch

Autor: Andrea Serani, Umberto Iemma, Emilio F. Campana, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Riccardo Pellegrini, Matteo Diez

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319729251
MOD
Machine Learning, Optimization, and Big Data, edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds), pp. 198–209. Cham, Heidelberg, New York, Dordrecht, London: Springer, 2018
info:cnr-pdr/source/autori:Pellegrini, Riccardo; Serani, Andrea; Liuzzi, Giampaolo; Rinaldi, Francesco; Lucidi, Stefano; Campana, Emilio F.; Iemma, Umberto; Diez, Matteo/titolo:Hybrid Global%2FLocal Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch/titolo_volume:Machine Learning, Optimization, and Big Data/curatori_volume:Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds)/editore: /anno:2018

A multi-objective deterministic hybrid algorithm (MODHA) is introduced for efficient simulation-based design optimization. The global exploration capability of multi-objective deterministic particle swarm optimization (MODPSO) is combined with the lo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0754a789b1f513aa6e1405d74d6e9a
http://hdl.handle.net/11573/1138983