A Study on the Sensitivity Analysis of the Hydrodynamic Derivatives on the Maneuverability of Kvlcc2 in Shallow Water

Kim, Dong Young; Kim, Sang-Hyun; Su-Jeong, Kim; Paik, Kwang-Jun

doi:10.21278/brod68401

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The analysed parameter for the sensitivity analysis was the overshoot angle. This is the most common parameter to analyse when using zigzag manoeuvres [36]. In this fashion, all the overshoot angles from all the variations of all the coefficients were compared with the original ones (unitary coefficients).…”

Section: Sensitivity Analysismentioning

confidence: 99%

Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests

Costa

Soares

2021

JMSE

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The work presents the identification and validation of the hydrodynamic coefficients for the surge, sway, and yaw motion. This is performed in two ways: using simulated data and free-running test data. The identification and validation with the simulation data are carried out using a 25° turning test and a 20°−20° zigzag manoeuvring test. For the free-running test data, two zigzag manoeuvres are used: 30°−30° zigzag for identification and 20°−20° zigzag for validation. A nonlinear manoeuvring model is proposed based on the standard Euler equations, and the hydrodynamic coefficients are computed using empirical equations. To obtain robust results, the truncated singular value decomposition is employed to diminish the multicollinearity and the parameter uncertainties due to noise. The validation is carried out by comparing the result of the measured values with the predictions obtained using the manoeuvring models. Finally, a sensitivity analysis for the simulation data is performed to understand the influence of the parameters in the manoeuvres.

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Section: Sensitivity Analysismentioning

confidence: 99%

Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests

Costa

Soares

2021

JMSE

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“…In order to reduce the influence of model complexity on simultaneous drift, Luo and Zou [24] analyzed the sensitivity of a single hydrodynamic derivative on its maneuverability prediction and hydrodynamic modeling. Kim et al conducted sensitivity analysis of an Abkowitztype mathematical model and determined the influence of the hydrodynamic derivatives on KVLCC2 maneuverability [25]. Panagiotis proposed an SA to investigate the various performance parameters that affect the propulsion and maneuvering abilities of a ship [26].…”

Section: Related Workmentioning

confidence: 99%

A Neural-Network-Based Sensitivity Analysis Approach for Data-Driven Modeling of Ship Motion

Cheng

Skulstad

et al. 2020

IEEE J. Oceanic Eng.

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Researchers have been investigating data-driven modeling as a key way to achieve ship intelligence for years. This paper presents a novel data analysis approach to data-driven modeling of ship motion.We propose a global sensitivity analysis (GSA) approach combining artificial neural network (ANN) and sparse polynomial chaos expansion (SPCE) techniques to accommodate high-dimensional sensor data collected from ship motion. An ANN is constructed as a surrogate model to associate ship sensor data with particular a certain type of ship motion. To account for the computational efficiency of GSA, an SPCE is integrated into the GSA to decrease the need for Monte Carlo (MC) samples generated by the ANN. A probe variable is designed to couple with the MC samples, which plays a role in determining degree of convergence of variable importance. A test on benchmark function demonstrates the efficiency and accuracy of the proposed approach. A case study of ship heading with and without environment effects is conducted. The experimental results show that the proposed approach can identify and rank the most sensitive factors of ship motion. The proposed approach highlights the application of GSA in data-driven modeling for ship intelligence.

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“…In addition, Carrica et al [17] utilized a viscous flow method to conduct simulations of zigzag maneuvers in shallow water for KCS and evaluated the impact of the grid size on the predictable results by comparing them with the experimental results. Kim et al [18] used a mathematical model to take into account the shallow water effect and study the maneuver characteristics of KVLCC2 when navigating in shallow water and deep water at low speed. They carried out a sensitivity analysis of the hydrodynamic derivatives to ascertain which had to be obtained precisely to avoid the constraints of the shallow water model applied in the previous study.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations of a Ship’s Maneuverability in Shallow Water

Li,

Wang,

Dong

et al. 2024

JMSE

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It is necessary to maintain maneuverability for ship navigation in shallow water, such as channels, ports and other confined waters. In this study, a turning circle maneuver with 35° rudder deflection and a 20/5 zigzag maneuver for KVLCC2 in shallow waters are tested numerically to directly predict the maneuverability of the ship in shallow water. A viscous in-house CFD solver is applied with the dynamic overset grid approach. The impacts of the water depth on the ship’s maneuverability in terms of turning and zigzag competence are evaluated, and the underlying mechanism is analyzed. The numerical method is validated by comparing it with experimental data on the turning indices, which shows good agreement. It is demonstrated that the turning capability become worse with a smaller depth–draft ratio, thus resulting in a lower yaw rate and a greater steady turning diameter. However, the drift angle and lateral speed are reduced with a smaller depth–draft ratio for zigzag maneuvers, but the overshoot angle and turn lag vary with the water depth non-monotonically.

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A Study on the Sensitivity Analysis of the Hydrodynamic Derivatives on the Maneuverability of Kvlcc2 in Shallow Water

Cited by 6 publications

References 2 publications

Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests

Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests

A Neural-Network-Based Sensitivity Analysis Approach for Data-Driven Modeling of Ship Motion

Numerical Simulations of a Ship’s Maneuverability in Shallow Water

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