Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers

This study introduces a hybrid approach to predict the acoustic scattering characteristics of composite propellers featuring variable thickness and complex curvature. The approach combines the Kirchhoff approximation (KA), which employs an intersection algorithm (IA) for determining the thickness of discrete surface elements, with the theory of orthotropic laminate transfer matrix (OLTM). The overall scattered sound field of the target is determined by solving the reflection coefficients of each surface element. To enhance computational efficiency, the scattered sound field of a complete composite propeller is ingeniously predicted by cloning mesh topology from a single propeller blade, taking advantage of the rotation symmetry characteristics of the composite propeller. The validity of this prediction method is confirmed through the finite element method (FEM) and static acoustic scattering characteristic experiments conducted on a lake. The predicted results for the target strength (TS) of the composite propeller closely align with the FEM. Additionally, the TS and time-domain echo characteristics of the steel propeller utilizing the KA exhibit strong agreement with the experimental findings. These research findings provide a significant reference value for predicting the acoustic scattering characteristics near the stern of underwater vehicles.

Authors

Institutions

Publication Details

Journal
Archives of Acoustics
Published
2024-10-17
DOI
https://doi.org/10.24425/aoa.2024.148815
Citations
1
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers

Sheng Xu, H. W. Ke, Fulin Zhou, Zilong Peng et al.
1 citations
Archives of Acoustics
Engineering Applied Research
0.26
article

Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers

Sheng Xu, H. W. Ke, Fulin Zhou, Zilong Peng, Xuhong Miu
article en
1 citations

Abstract

This study introduces a hybrid approach to predict the acoustic scattering characteristics of composite propellers featuring variable thickness and complex curvature. The approach combines the Kirchhoff approximation (KA), which employs an intersection algorithm (IA) for determining the thickness of discrete surface elements, with the theory of orthotropic laminate transfer matrix (OLTM). The overall scattered sound field of the target is determined by solving the reflection coefficients of each surface element. To enhance computational efficiency, the scattered sound field of a complete composite propeller is ingeniously predicted by cloning mesh topology from a single propeller blade, taking advantage of the rotation symmetry characteristics of the composite propeller. The validity of this prediction method is confirmed through the finite element method (FEM) and static acoustic scattering characteristic experiments conducted on a lake. The predicted results for the target strength (TS) of the composite propeller closely align with the FEM. Additionally, the TS and time-domain echo characteristics of the steel propeller utilizing the KA exhibit strong agreement with the experimental findings. These research findings provide a significant reference value for predicting the acoustic scattering characteristics near the stern of underwater vehicles.

Archives of Acoustics
Shanghai Jiao Tong University (CN), Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration (CN), Jiangsu University of Science and Technology (CN), People's Liberation Army No. 150 Hospital (CN)
Openalex Percentile: Top 44%
Engineering Applied Research
0.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers — Sheng Xu, H. W. Ke, et al. · Archives of Acoustics (2024) | TGRS Research Map | TGRS