Song Zhang

Mr. Song Zhang

Wuhan University of Technology
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
Open access
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SZSong Zhang
Song Zhang
QWQing Wu
Qing Wu
Jialun LiuJialun Liu
Jialun Liu
YHYangying He
Yangying He
SLShijie Li
Shijie Li
Automatic berthing is at the top level of ship autonomy; it is unwise and hasty to hand over the control initiative to the controller and the algorithm without the foundation of the maneuvering model. The berthing maneuver model predicts the ship responses to the steerage and external disturbances, and provides a foundation for the control algorithm. The modular MMG model is widely adopted in ship maneuverability studies. However, there are two ambiguous questions on berthing maneuver modeling: What are the similarities and differences between the conventional MMG maneuvering model and automatic berthing maneuvering model? How can an accurate automatic berthing maneuvering model be established? To answer these two questions, this paper firstly performs bibliometric analysis on automatic berthing, to discover the hot issues and emphasize the significance of maneuver modeling. It then demonstrates the similarities and differences between the conventional MMG maneuvering model and the automatic berthing maneuvering model. Furthermore, the berthing maneuver specifications and modeling procedures are explained in terms of the hydrodynamic forces on the hull, four-quadrant propulsion and steerage performances, external disturbances, and auxiliary devices. The conclusions of this work provide references for ship berthing mathematical modeling, auxiliary device utilization, berthing aid system improvement, and automatic berthing control studies.

10 January 2022 in Ocean Engineering
Verified
Journal Article
Closed access
SZSong Zhang
Song Zhang
Jialun LiuJialun Liu
Jialun Liu
SLShijie Li
Shijie Li
HYHironori Yasukawa
Hironori Yasukawa
QWQing Wu
Qing Wu

27 December 2022 in Ocean Engineering
Verified
Journal Article
Closed access
SZSong Zhang
Song Zhang
QWQing Wu
Qing Wu
Jialun LiuJialun Liu
Jialun Liu
YHYangying He
Yangying He
SLShijie Li
Shijie Li

Verified
Journal Article
Open access
PDF file
YZYuan Zhuang
Yuan Zhuang
YDYu Ding
Yu Ding
Jialun LiuJialun Liu
Jialun Liu
SZSong Zhang
Song Zhang
Waterborne transportation serves as a critical pillar of trunk-line freight systems, offering unparalleled advantages in transport capacity, energy efficiency, and cost-effectiveness. As cargo throughput demands escalate, optimizing lock capacity becomes imperative. This study investigates ship sinkage dynamics through computational fluid dynamics (CFD) simulations for a representative inland cargo vessel navigating the Three Gorges on the Yangtze River. We develop a predictive sinkage model that integrates four key hydrodynamic parameters: ship velocity, draft, water depth, and bank clearance, applicable to both open shallow water and lockage conditions. The model enables determination of maximum safe drafts for lock transit by analyzing upstream/downstream water levels and corresponding chamber depths. Our results demonstrate the technical feasibility of enhancing single-lock cargo capacity while maintaining safety margins. These findings provide (1) a scientifically grounded framework for draft control optimization, and (2) actionable insights for lock operation management. The study establishes a methodological foundation for balancing navigational safety with growing throughput requirements in constrained waterways.