Session: 08-02-01 Wave–Structure Interaction, Noise Modeling, and Marine Hydrodynamics

Submission Number: 181249

Research on Hydrodynamic Characteristics and Noise Simulation Methods for Marine Propellers 

Propeller noise—one of the three principal shipboard noise sources—not only degrades the comfort of crew and passengers and pollutes the marine acoustic environment, but also directly affects the acoustic stealth of a vessel. Its investigation is therefore of clear practical significance. Using existing experimental data for validation, this study examines the DMPT P4119 standard propeller. First, the open-water hydrodynamic performance of the propeller is computed with a RANS approach to verify the suitability of the meshing strategy. Subsequently, flow-induced noise is predicted by coupling large-eddy simulation (LES) with the Ffowcs Williams–Hawkings (FW–H) acoustic analogy, and the results are compared with available measurements. The predictions show good agreement with the experiments, achieving engineering-level accuracy and confirming the feasibility of the methodology. In the low-frequency range, the spectrum is dominated by tonal components, with a pronounced peak at the blade-passing frequency (BPF) that decays gradually with increasing frequency; among the tonal lines, the first and second BPF harmonics are most prominent. Arrays of acoustic probes are placed in the axial and circumferential directions to analyze the location-dependent contributions of distinct noise sources, and the directivity of the overall sound-pressure level (OASPL) is characterized. The findings provide a useful reference for future propeller performance prediction and noise-aware design.

Presenting Author: Huanyu Zhu Shanghai Jiao Tong University

Presenting Author Biography: I am a Ph.D. candidate at the School of Ocean and Civil Engineering, Shanghai Jiao Tong University, supervised by Prof. Yunxiang You. My research focuses on applying different turbulence models to propeller hydrodynamic performance and on propeller flow-noise analysis and prediction.

Authors:

Huanyu Zhu Shanghai Jiao Tong University
Panpan Han Shanghai Jiao Tong University
Ruimin Zhao Shanghai Junyu Information Technology Limited Co
Xiaoping Qiu Shanghai Junyu Information Technology Limited Co
Qiao Ma Shanghai Junyu Information Technology Limited Co
Yunxiang You Shanghai Jiao Tong University