Unsteady numerical investigation of shallow water effects on the resistance of inland waterway vessels
Paper in proceeding, 2026

Inland waterway transport is increasingly regarded as a low-carbon alternative to road transport. However, vessels operating in confined, shallow waterways experience hydrodynamic effects that differ fundamentally from those in deep water. As the depth-to-draught ratio H/T decreases, flow confinement beneath the hull induces additional resistance and alters the pressure distribution, leading to increased sinkage and bow-down trim, with direct implications for energy efficiency and navigational safety. This study presents unsteady Reynolds-averaged Navier–Stokes (URANS) simulations of a model-scale (1:16) CEMT Class-Vb inland cargo vessel to investigate its hydrodynamic behaviour in shallow water. The free surface is resolved using a volume-of-fluid (VoF) method, turbulence is modelled with the SST k–ω model, and vessel motions are captured via a DFBI morphing approach, enabling the vessel to reach equilibrium sinkage and trim while capturing persistent low-amplitude oscillations in resistance and motions. The simulations are validated against previously published towing tank measurements for H/T=2.0 and 1.5 and extended to an extremely shallow-water case of H/T=1.2. The results reveal pronounced shallow-water effects on ship resistance and motion, highlighting the need for an accurate numerical tool for ship hydrodynamic prediction that enables energy-efficient, safe navigation of inland waterway vessels.

shallow water effects

inland waterway ves-sels

computational fluid dynamics

resistance prediction

Author

Chengqian Zhang

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Heng Zhu

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Huadong Yao

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Jonas Ringsberg

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Proceedings of the ASME 2026 45th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2026)

2153-4772 (ISSN)

1-11 OMAE2026-177927

ASME 2026 45th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2026)
Tokyo, ,

AUTOBarge - European training and research network on Autonomous Barges for Smart Inland Shipping

European Commission (EC) (EC/H2020/955768), 2021-10-01 -- 2025-09-30.

Driving Forces

Sustainable development

Subject Categories (SSIF 2025)

Fluid Mechanics

Marine Engineering

Vehicle and Aerospace Engineering

Roots

Basic sciences

More information

Created

9/7/2026 8