scholarly journals Effect on Ship Maneuvering Motion under Strong Tidal Current

2002 ◽  
Vol 106 (0) ◽  
pp. 113-120
Author(s):  
Yasuyuki NIWA ◽  
Masayoshi NUMANO ◽  
Junji FUKUTO ◽  
Mitsuo TADA
Keyword(s):  
Tidal Current ◽  
Ship Maneuvering ◽  
Maneuvering Motion ◽  
Strong Tidal Current

A Nonlinear Mathematical Model for Ship Turning Circle Simulation in Waves

2005 ◽  
Vol 49 (02) ◽  
pp. 69-79 ◽  
Author(s):  
Ming-Chung Fang ◽  
Jhih-Hong Luo ◽  
Ming-Ling Lee
Keyword(s):  
Mathematical Model ◽  
Degrees Of Freedom ◽  
Regular Waves ◽  
Nonlinear Mathematical Model ◽  
Ship Maneuvering ◽  
Sea Trial ◽  
Six Degrees Of Freedom ◽  
Strip Theory ◽  
Calm Water ◽  
Maneuvering Motion

In the paper, a simplified six degrees of freedom mathematical model encompassing calm water maneuvering and traditional seakeeping theories is developed to simulate the ship turning circle test in regular waves. A coordinate system called the horizontal body axes system is used to present equations of maneuvering motion in waves. All corresponding hydrodynamic forces and coefficients for seakeeping are time varying and calculated by strip theory. For simplification, the added mass and damping coefficients are calculated using the constant draft but vary with encounter frequency. The nonlinear mathematical model developed here is successful in simulating the turning circle of a containership in sea trial conditions and can be extended to make the further simulation for the ship maneuvering under control in waves. Manuscript received at SNAME headquarters February 19, 2003; revised manuscript received January 27, 2004.

Kernel-based support vector regression for nonparametric modeling of ship maneuvering motion

2020 ◽  
Vol 216 ◽  
pp. 107994
Author(s):  
Zihao Wang ◽  
Haitong Xu ◽  
Li Xia ◽  
Zaojian Zou ◽  
C. Guedes Soares
Keyword(s):  
Support Vector Regression ◽  
Support Vector ◽  
Nonparametric Modeling ◽  
Ship Maneuvering ◽  
Maneuvering Motion

Parametric estimation of ship maneuvering motion with integral sample structure for identification

2015 ◽  
Vol 52 ◽  
pp. 212-221 ◽  
Author(s):  
Cao Jian ◽  
Zhuang Jiayuan ◽  
Xu Feng ◽  
Yin Jianchuan ◽  
Zou Zaojian ◽  
...  
Keyword(s):  
Parametric Estimation ◽  
Ship Maneuvering ◽  
Sample Structure ◽  
Maneuvering Motion

scholarly journals Study on hydraulic problems associated with the construction of large bridge foundation under strong tidal current.

1991 ◽  
pp. 71-80
Author(s):  
Mitsushige SAKAMOTO ◽  
Masatoshi SASAKI ◽  
Masaaki KITAGUCHI ◽  
Kanji IMAI
Keyword(s):  
Tidal Current ◽  
Bridge Foundation ◽  
Strong Tidal Current

scholarly journals Marine and anthropogenic controls on the estuary of the Suriname River over the past 50 years

2016 ◽  
Vol 95 (4) ◽  
pp. 419-428
Author(s):  
K. Gersie ◽  
P.G.E.F. Augustinus ◽  
R.T. Van Balen
Keyword(s):  
Tidal Current ◽  
River Flow ◽  
Sediment Load ◽  
Anthropogenic Activities ◽  
Fluvial Systems ◽  
Sediment Fluxes ◽  
Fine Grained ◽  
The Past ◽  
The Impact ◽  
Strong Tidal Current

AbstractHumans have played an important role in fluvial systems because of the impact of their land-use activities, frequently leading to degradation of environmental conditions. Rivers, which are the primary agents in sediment transport, have thus been subject to changes in sediment fluxes. The Suriname River has been affected by anthropogenic activities since colonial times, and has experienced strong discharge and sediment-load changes since the construction of the Afobaka Dam in 1964. The river's estuary sediments largely consist of fine-grained sediments, originating, ultimately, from the Amazon River and transported by the strong tidal current. The influence of this tidal current is diminished at the head of the estuary, allowing the river flow to become dominant. Also remarkable is the interaction of the Suriname River and the westward-migrating mudbanks which is evident in the changing magnitude and volume of Braamspunt, a mudcape located at the mouth of the estuary. The regulated discharge of the river results in a change of the river's morphology, resulting, among other things, in the growth of river bars.

Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
Yin Jian-Chuan ◽  
Zou Zao-Jian ◽  
Xu Feng
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Parametric Identification ◽  
Small Sample ◽  
High Dimensionality ◽  
Pls Regression ◽  
Ship Maneuvering ◽  
Processing Data ◽  
Hydrodynamic Derivatives ◽  
Maneuvering Motion

Partial least squares (PLS) regression is used for identifying the hydrodynamic derivatives in the Abkowitz model for ship maneuvering motion. To identify the dynamic characteristics in ship maneuvering motion, the derivatives of hydrodynamic model's outputs are set as the target output of the PLS identification model. To verify the effectiveness of PLS parametric identification method in processing data with high dimensionality and heavy multicollinearity, the identified results of the hydrodynamic derivatives from the simulated 20 deg/20 deg zigzag test are compared with the planar motion mechanism (PMM) test results. The performance of PLS regression is also compared with that of the conventional least squares (LS) regression using the same dataset. Simulation results show the satisfactory identification and generalization performances of PLS regression and its superiority in comparison with the LS method, which demonstrates its capability in processing measurement data with high dimensionality and heavy multicollinearity, especially in processing data with small sample size.

Parameter Identification of Ship Maneuvering Model Based on Support Vector Machines and Particle Swarm Optimization

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Weilin Luo ◽  
C. Guedes Soares ◽  
Zaojian Zou
Keyword(s):  
Particle Swarm Optimization ◽  
Support Vector Machines ◽  
Difference Method ◽  
Particle Swarm ◽  
Support Vector ◽  
Ship Maneuvering ◽  
Swarm Optimization ◽  
Hydrodynamic Derivatives ◽  
Vector Machines ◽  
Maneuvering Motion

Combined with the free-running model tests of KVLCC ship, the system identification (SI) based on support vector machines (SVM) is proposed for the prediction of ship maneuvering motion. The hydrodynamic derivatives in an Abkowitz model are determined by the Lagrangian factors and the support vectors in the SVM regression model. To obtain the optimized structural factors in SVM, particle swarm optimization (PSO) is incorporated into SVM. To diminish the drift of hydrodynamic derivatives after regression, a difference method is adopted to reconstruct the training samples before identification. The validity of the difference method is verified by correlation analysis. Based on the Abkowitz mathematical model, the simulation of ship maneuvering motion is conducted. Comparison between the predicted results and the test results demonstrates the validity of the proposed methods in this paper.

A practical calculation method of ship maneuvering motion

1981 ◽  
Vol 28 (325) ◽  
pp. 207-222 ◽  
Author(s):  
S. Inoue ◽  
M. Hirano ◽  
K. Kijima ◽  
J. Takashina
Keyword(s):  
Calculation Method ◽  
Practical Calculation ◽  
Ship Maneuvering ◽  
Maneuvering Motion
Sign in / Sign up

Export Citation Format

Share Document