Title:	Projects in Applied Hydrodynamics
DNr:	NAISS 2025/5-609
Project Type:	NAISS Medium Compute
Principal Investigator:	Arash Eslamdoost <arash.eslamdoost@chalmers.se>
Affiliation:	Chalmers tekniska högskola
Duration:	2025-10-29 – 2026-11-01
Classification:	20306
Keywords:

Abstract

The overarching goal of this research is to utilize high-performance computing (HPC) resources to advance numerical investigations in applied hydrodynamics, with a particular emphasis on computational fluid dynamics (CFD). By leveraging large-scale computational simulations, the project seeks to deepen our understanding of the complex flow physics that govern the behavior of marine vehicles. Through accurate and efficient modeling of fluid–structure interactions, turbulence, and free-surface dynamics, the research aims to improve the performance, energy efficiency, and environmental sustainability of marine craft. At the core of this initiative is the reduction of hydrodynamic resistance and the optimization of propulsion systems. Simulations conducted on HPC clusters will enable the detailed resolution of flow fields around hulls, propulsors, and appendages, providing insights that are tricky to obtain through experiments alone. The project also focuses on understanding the intricate propulsor–hull interaction effects, which play a critical role in the overall energy efficiency of vessels. By coupling CFD solvers with optimization algorithms, we aim to identify configurations that minimize energy losses and enhance propulsive performance. The research effort encompasses several interconnected subprojects: Wind-Assisted Ships: With the increasing focus on decarbonization, this subproject explores the under water integration effects for wind-assisted ships. CFD analyses will assess the aerodynamic and hydrodynamic performance under varying wind and sea conditions, providing design guidelines for hybrid propulsion systems. Using Reynolds-Averaged Navier–Stokes (RANS) models, this study examines the mutual influence between propulsors and hull and appendages like rudder. HPC simulations will capture the unsteady wake dynamics and pressure fluctuations, offering guidance for the design of more efficient propulsion systems. Full-scale Ship Hydrodynamics: Full-scale and model-scale ship resistance tests will be numerically reproduced to validate turbulence models and mesh strategies. Parallel computing resources allow for parametric sweeps across hull shapes and operating conditions, supporting design optimization for minimal drag as well as full scale power prediction. Foiling Technology: This project investigates the hydrodynamics of hydrofoils for high-speed craft. Simulations will analyze lift generation, cavitation, and dynamic stability, providing data essential for developing control strategies and efficient foil geometries. The ultimate goal of the project is to improve the safety of hydrofoil craft. Through these studies, the project will establish a computational framework capable of accurately predicting hydrodynamic performance while significantly reducing the need for costly experimental testing and at the same time increase our understanding of the flow physics. The outcomes are expected to contribute to the design of next-generation marine vehicles that are faster, more efficient, and environmentally sustainable.