Journal Article

·2021

NUMERICAL PREDICTION OF VERTICAL SHIP MOTIONS AND ADDED RESISTANCE

F Cakici YTU , Emre Kahramanoğlu YTU , Ahmet Alkan YTU

The International Journal of Maritime Engineering

Abstract

Along with the development of computer technology, the capability of Computational Fluid Dynamics (CFD) to conduct ‘virtual computer experiments’ has increased. CFD tools have become the most important tools for researchers to deal with several complex problems. In this study, the viscous approach called URANS (Unsteady Reynolds Averaged Navier-Stokes) which has a fully non-linear base has been used to solve the vertical ship motions and added resistance problems in head waves. In the solution strategy, the FVM (Finite Volume Method) is used that enables numerical discretization. The ship model DTMB 5512 has been chosen for a series of computational studies at Fn=0.41 representing a high speed case. Firstly, by using CFD tools the TF (Transfer Function) graphs for the coupled heave- pitch motions in deep water have been generated and then comparisons have been made with IIHR (Iowa Institute of Hydraulic Research) experimental results and ordinary strip theory outputs. In the latter step, TF graphs of added resistance for deep water have been generated by using CFD and comparisons have been made only with strip theory.

Keywords

Computational fluid dynamics Discretization Computer science Head (geology) Function (biology) Marine engineering Series (stratigraphy) Mechanics Engineering Mathematics Aerospace engineering Geology Physics Mathematical analysis

Subject Areas

Ship Hydrodynamics and Maneuverability ·Ocean Engineering ·Physical Sciences
Fluid Dynamics Simulations and Interactions ·Computational Mechanics ·Physical Sciences
Structural Integrity and Reliability Analysis ·Mechanical Engineering ·Physical Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Life below water 54%