Study on Characteristics of Multi-Point Support Bearings for Marine Ultra-Long Shafting Under Different Operating Conditions

Strong nonlinear coupling exists between shafting dynamics and bearing lubrication performance in ultra-long multi-support propulsion shafting systems of large ships. This coupling may lead to bearing load redistribution and local oil-film instability. Taking the propulsion shafting system of an actual ship as the research object, this study develops a coupled shafting–bearing quasi-static model. The model considers hull deformation and inertial loads induced by ship motion. A BP neural network is used to represent the nonlinear support characteristics of the bearings and improve the efficiency of multi-condition calculations. The results show that hull deformation and ship-motion accelerations change the bending state of the shafting and the relative position of the journals within the bearings. These changes significantly affect bearing loads, oil-film pressure, minimum oil-film thickness, and journal eccentricity. As the sea state becomes more severe, local bearing load concentration and oil-film deterioration become more pronounced. Some performance parameters may exceed their allowable limits. Bearings at different positions also exhibit different sensitivities to operating conditions and distinct potential failure modes. The proposed method provides a theoretical basis and engineering reference for bearing arrangement, shaft alignment, and safety assessment of ultra-long propulsion shafting systems under complex sea conditions.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-11-09
DOI
https://doi.org/10.3390/jmse14212129
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Study on Characteristics of Multi-Point Support Bearings for Marine Ultra-Long Shafting Under Different Operating Conditions

Zihao Cui, 葛冀欢, Hanhua Zhu, Xinjun Kou et al.
Journal of Marine Science and Engineering
Gear and Bearing Dynamics Analysis
article

Study on Characteristics of Multi-Point Support Bearings for Marine Ultra-Long Shafting Under Different Operating Conditions

Zihao Cui, 葛冀欢, Hanhua Zhu, Xinjun Kou, Quan Zou, Xiaojun Li
article en

Abstract

Strong nonlinear coupling exists between shafting dynamics and bearing lubrication performance in ultra-long multi-support propulsion shafting systems of large ships. This coupling may lead to bearing load redistribution and local oil-film instability. Taking the propulsion shafting system of an actual ship as the research object, this study develops a coupled shafting–bearing quasi-static model. The model considers hull deformation and inertial loads induced by ship motion. A BP neural network is used to represent the nonlinear support characteristics of the bearings and improve the efficiency of multi-condition calculations. The results show that hull deformation and ship-motion accelerations change the bending state of the shafting and the relative position of the journals within the bearings. These changes significantly affect bearing loads, oil-film pressure, minimum oil-film thickness, and journal eccentricity. As the sea state becomes more severe, local bearing load concentration and oil-film deterioration become more pronounced. Some performance parameters may exceed their allowable limits. Bearings at different positions also exhibit different sensitivities to operating conditions and distinct potential failure modes. The proposed method provides a theoretical basis and engineering reference for bearing arrangement, shaft alignment, and safety assessment of ultra-long propulsion shafting systems under complex sea conditions.

Journal of Marine Science and EngineeringVol. 14(21)
Wuhan University of Technology (CN)
Gear and Bearing Dynamics Analysis
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.

Laika access coming soon
Study on Characteristics of Multi-Point Support Bearings for Marine Ultra-Long Shafting Under Different Operating Conditions — Zihao Cui, 葛冀欢, et al. · Journal of Marine Science and Engineering (2026) | TGRS Research Map | TGRS