ARTÍCULO
TITULO

Temporal Model for Ship Twin-Propeller Jet Induced Sandbed Scour

Yonggang Cui    
Wei Haur Lam    
Tianming Zhang    
Chong Sun    
Desmond Robinson and Gerard Hamill    

Resumen

This research paper proposes the use of empirical equations to estimate the temporal maximum scour that is induced by twin-propeller (e????????=O??[????(??)]G?? e t w i n = O t [ l n ( t ) ] G t ) when acting over non-cohesive bed materials. A purpose built experimental apparatus is used to obtain the measurement data required for the calculation of the empirical constants. The output from rigorous experimental investigations demonstrates that the maximum scour depth produced from the operation of twin-propeller (e???????? e t w i n ), within the confines of a harbour basin, varies as a logarithmic function of time. A dimensional analysis of the standard single propeller configuration is used as the foundation upon which the scour equation is postulated. This is extended to include the influence of the operating distance between the twin-propeller configurations for the first time. The division of scours by twin-propeller and single-propeller (e????????/e?? e twin / e m ) enables the establishment of mathematical relation to calculate C1, C2, A, and B. The constants are ??1 C 1 = 366.11, ??2 C 2 = 0.3376, A = 0.859, and B = 0.1571. The proposed scour equation is more reliable within the time zone up to two hours based on the experimental data.

 Artículos similares

       
 
Valentina Gallina, Silvia Torresan, Alex Zabeo, Jonathan Rizzi, Sandro Carniel, Mauro Sclavo, Lisa Pizzol, Antonio Marcomini and Andrea Critto    
Coastal erosion is an issue of major concern for coastal managers and is expected to increase in magnitude and severity due to global climate change. This paper analyzes the potential consequences of climate change on coastal erosion (e.g., impacts on be... ver más
Revista: Water

 
Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang     Pág. 115 - 142
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the so... ver más

 
Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu    
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G... ver más

 
Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu    
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ... ver más

 
Junting Wang, Tianhe Xu, Wei Huang, Liping Zhang, Jianxu Shu, Yangfan Liu and Linyang Li    
Underwater sound speed is one of the most significant factors that affects high-accuracy underwater acoustic positioning and navigation. Due to its complex temporal variation, the forecasting of the underwater sound speed field (SSF) becomes a challengin... ver más