Stochastic CFD numerical model, algorithm, and simulation on regular wave fields

This paper invites higher-order derivative numerical technology to research the stochastic characteristics in regular wave fields. The randomness of the parameters vector was incorporated during the stochastic space establishment, by which, the stochastic CFD numerical model and algorithm were devel...

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 2756; no. 1; pp. 12050 - 12058
Main Authors Wang, Mingyuan, Yu, Wei, Yang, Yang, Wang, Yajun
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.05.2024
Subjects
Algorithms
Mathematical models
Numerical models
Parameters
Randomness
Taylor series
Online AccessGet full text
ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/2756/1/012050

Cover

More Information
Summary:This paper invites higher-order derivative numerical technology to research the stochastic characteristics in regular wave fields. The randomness of the parameters vector was incorporated during the stochastic space establishment, by which, the stochastic CFD numerical model and algorithm were developed in the study. Meantime, Taylor expansion coupled with the perturbation was also utilized to realize the investigation on the random behaviours of the regular wave fields where the perturbative values of the parameters vector included 1%, 2%, and 3%. The results indicated the merit of the stochastic CFD numerical model and algorithm in wave field research.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/2756/1/012050