Data-driven prediction and study of vortex induced vibrations by leveraging hydrodynamic coefficient databases learned from sparse sensors

Autor:	Andreas P. Mentzelopoulos, José del Águila Ferrandis, Samuel Rudy, Themistoklis Sapsis, Michael S. Triantafyllou, Dixia Fan
Rok vydání:	2022
Předmět:	Environmental Engineering Ocean Engineering
Zdroj:	Ocean Engineering. 266:112833
ISSN:	0029-8018
DOI:	10.1016/j.oceaneng.2022.112833
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff2bb12bf0c7a3c411986a98cb0d785f https://doi.org/10.1016/j.oceaneng.2022.112833 Zobrazit plný text záznamu Full Text from ScienceDirect