International Journal of Marine Engineering Innovation and Research
Vol. 10 No. 2 (2025)

Investigation of Planing Hull Resistance Calculation Using Smoothed Particle Hydrodynamics

Andi Trimulyono (Universitas Diponegoro)
Muhammad Fajar Nuralam (Universitas Diponegoro)
Deddy Chrismianto (Universitas Diponegoro)
Samuel (Universitas Diponegoro)
Imam Pujo Mulyatno (Universitas Diponegoro)
Muhammad Iqbal (Universitas Diponegoro)



Article Info

Publish Date
10 Jul 2025

Abstract

Over the decades, advancements in computer technology have significantly contributed to the development of numerical methods, including computational fluid dynamics (CFD). CFD encompasses two primary approaches: mesh-based and mesh-free methods. While mesh-based methods are well-established and widely used for analyzing free-surface flows, such as ship resistance, mesh-free methods like smoothed particle hydrodynamics (SPH) have gained traction in real-world engineering applications. Despite its growing use, limited research has explored the application of SPH to ship resistance analysis. This study investigates the total ship resistance of a planing hull using the open-source SPH solver DualSPHysics. The research focuses on analyzing spray patterns and complex flow dynamics around the hull. DualSPHysics typically employs dynamic boundary conditions (DBC) as its standard boundary definition method. However, this study utilizes an advanced implementation of DBC, known as Modified Dynamic Boundary Conditions (mDBC), in conjunction with Project Chrono for enhanced simulation accuracy. The results demonstrate that SPH provides acceptable accuracy when compared to the Strip theory approach. Additionally, key parameters such as total force, sinkage, and trim are effectively reproduced using Project Chrono. This research highlights the potential of SPH, particularly with advanced boundary conditions, for ship resistance analysis and contributes to the growing body of knowledge in this field.

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Journal Info

Abbrev

ijmeir

Publisher

Subject

Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Description

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