A comparative study for resistance prediction using different RANS solvers

被引：0

作者：

Rahaman, M. M. ^{[1
]}

Zakaria, N. M. G. ^{[1
]}

Mostafiz, M. ^{[1
]}

Islam, H. ^{[2
]}

机构：

[1] Bangladesh Univ Engn & Technol BUET, Dept Naval Architecture & Marine Engn, Dhaka, Bangladesh

[2] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, Lisbon, Portugal

来源：

TRENDS IN MARITIME TECHNOLOGY AND ENGINEERING, MARTECH 2022, VOL 1 | 2022年 / 8卷

关键词：

SIMULATION; CFD; PERFORMANCE; VALIDATION; MOTIONS; KVLCC2;

D O I：

10.1201/9781003320272-47

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Ship resistance prediction with reliable accuracy is essential for optimum ship design and propulsion power prediction. The paper discusses calm water resistance and motion prediction of a bulk carrier using three different RANS solvers. The Japan Bulk Carrier (JBC) model has been studied for calm water resistance, sinkage, and trim prediction at design speed. For the study, an in-house CFD tool, SHIP_Motion, an open source CFD toolkit, OpenFOAM, and a commercial CFD solver, StarCCM+, has been used. Initially, a detailed verification study has been performed for the solvers, followed by a validation study. The study provides a rough comparison in terms of accuracy and resource consumption for the solutions. The paper mostly focuses on sharing the relative advantages and disadvantages of each solver from the user's perspective.

引用

页码：425 / 434

页数：10

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