A numerical investigation of the squat and resistance of ships advancing through a canal using CFD

被引:64
作者
Tezdogan, Tahsin [1 ]
Incecik, Atilla [1 ]
Turan, Osman [1 ]
机构
[1] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, 100 Montrose St, Glasgow G4 0LZ, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Numerical ship hydrodynamics; Ship squat; Shallow water; Unsteady RANS; CFD; SIMULATIONS; PREDICTION;
D O I
10.1007/s00773-015-0334-1
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
As a ship approaches shallow water, a number of changes arise owing to the hydrodynamic interaction between the bottom of the ship's hull and the seafloor. The flow velocity between the bottom of the hull and the seafloor increases, which leads to an increase in sinkage, trim and resistance. As the ship travels forward, squat of the ship may occur, stemming from this increase in sinkage and trim. Knowledge of a ship's squat is necessary when navigating vessels through shallow water regions, such as rivers, channels and harbours. Accurate prediction of a ship's squat is therefore essential, to minimize the risk of grounding for ships. Similarly, predicting a ship's resistance in shallow water is equally important, to be able to calculate its power requirements. The key objective of this study was to perform fully nonlinear unsteady RANS simulations to predict the squat and resistance of a model-scale Duisburg Test Case container ship advancing in a canal. The analyses were carried out in different ship drafts at various speeds, utilizing a commercial CFD software package. The squat results obtained by CFD were then compared with available experimental data.
引用
收藏
页码:86 / 101
页数:16
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[31]   Numerical investigation of heat transfer and friction factor in ribbed triangular duct solar air heater using Computational fluid dynamics (CFD) [J].
Kumar, Rajneesh ;
Goel, Varun ;
Kumar, Anoop ;
Khurana, Sourabh ;
Singh, Paramvir ;
Bopche, Santosh B. .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2018, 32 (01) :399-404
[32]   A numerical investigation on the wall heat flux in a DI diesel engine fueled with n-heptane using a coupled CFD and ANN approach [J].
Taghavifar, Hamid ;
Taghavifar, Hadi ;
Mardani, Aref ;
Mohebbi, Arash ;
Khalilarya, Shahram .
FUEL, 2015, 140 :227-236
[33]   Rheological studies and numerical investigation of barite sag potential of drilling fluids with thermochemical fluid additive using computational fluid dynamics (CFD) [J].
Alade, Olalekan ;
Mahmoud, Mohamed ;
Al-Nakhli, Ayman .
GEOENERGY SCIENCE AND ENGINEERING, 2023, 220
[34]   Numerical investigation of heat transfer and friction factor in ribbed triangular duct solar air heater using Computational fluid dynamics (CFD) [J].
Rajneesh Kumar ;
Varun Goel ;
Anoop Kumar ;
Sourabh Khurana ;
Paramvir Singh ;
Santosh B. Bopche .
Journal of Mechanical Science and Technology, 2018, 32 :399-404
[35]   Reliability investigation of exponentiated Weibull distribution using IPL through numerical and artificial neural network modeling [J].
Shafiq, Anum ;
Colak, Andac Batur ;
Sindhu, Tabassum Naz .
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2022, 38 (07) :3616-3631
[36]   Numerical and experimental investigation of convective flow boiling in vertical annulus using CFD code: Effect of mass flow rate and wall heat fluxes [J].
Bouaichaoui, Youcef ;
Koncar, Bostjan .
ANNALS OF NUCLEAR ENERGY, 2023, 181
[37]   NUMERICAL INVESTIGATION OF EFFECT OF DENSITY AND ASPECT RATIO ON BUOYANT OSCILLATORY EXCHANGE FLOW THROUGH CIRCULAR OPENING IN HORIZONTAL PARTITION USING SALTWATER ANALOGY [J].
Gera, B. ;
Nayak, A. K. ;
Alam, M. ;
Singh, R. K. .
INTERNATIONAL JOURNAL OF FLUID MECHANICS RESEARCH, 2020, 47 (03) :229-245
[38]   Numerical investigation of liquid mass fraction and condensation shock of wet-steam flow through convergence-divergence nozzle using strategic water droplets injection [J].
Xu, Yijun ;
Zhang, Xuan ;
Bai, Yuxing ;
Li, Xin .
CHEMICAL PRODUCT AND PROCESS MODELING, 2024, 19 (03) :315-327
[39]   Investigation of the Influence of Roughness on the Shear Resistance of Concrete-Rock Interfaces Using Random Field Simulations, Numerical Simulations, and Neural Network Modeling: Proposition of Two Approaches for the Estimation of the Peak Shear Strength [J].
Badika, Menes ;
Capdevielle, Sophie ;
Saletti, Dominique ;
Briffaut, Matthieu .
ROCK MECHANICS AND ROCK ENGINEERING, 2024, 57 (11) :9511-9537