Literature review on evaluation and prediction methods of inland vessel manoeuvrability

Liu, Jialun; Hekkenberg, Robert; Rotteveel, Erik; Hopman, Hans

doi:10.1016/j.oceaneng.2015.07.021

Cited by 35 publications

(16 citation statements)

References 55 publications

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“…where t i and t e respectively indicate the internal and external hull-interaction thrust deductions. Hence, (11) refines to:…”

Section: Propeller Characteristics Thrust Modelmentioning

confidence: 99%

“…Conventionally, inland vessels tend to have one or more propellers, regularly ducted to protect them and to increase their performance, which are often placed in conjunction with multiple rudders to boost their manoeuvrability. Occasionally, the addition of an azimuth or bow thruster further improves their manoeuvrability [10,11]. In comparison, conventional marine vessels have propeller(s)-rudder(s) configurations positioned at the stern [12], and some marine vessels do carry more exotic propulsion systems such as transversal thrusters, azimuth thrusters, podded propellers, contra-rotating propellers, or even water jets for high speed vessels [13].…”

Section: Introductionmentioning

confidence: 99%

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Model Structures and Identification for Fully Embedded Thrusters: 360-Degrees-Steerable Steering-Grid and Four-Channel Thrusters

Peeters

Afzal

Vanierschot

et al. 2020

JMSE

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The European Watertruck + project introduced a new fleet of self-propelled inland cargo barges to the European waters, in order to induce more sustainable freight transport in the European hinterland. An augmentation of the automation level of this fleet could further advance their competitiveness and potentially pave the way for unmanned inland cargo vessels. The motion control of such a vessel forms a key component in this envisaged automation chain and benefits from the knowledge of the capabilities of the propulsion system, which here envelops a 360-degrees-steerable steering-grid thruster in conjunction with a 360-degrees-steerable four-channel thruster. Therefore, this study details the mechanical design of both thrusters and lists their experimental towing-tank data. Furthermore, two different modelling methods are offered, one theoretically based and one using a multilayer neural network. A model structure comparison, based on a bias-variance trade-off, verifies the adequacy of the theoretical model which got expended with an angle-dependent thrust deduction coefficient. In addition, several multilayer feedforward neural network architectures exemplify their inherent capability to model the complex, nonlinear, flow phenomena inside the thrusters. These identified model structures can additionally improve thrust allocation algorithms and offer better plant models to study more advanced control strategies.

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“…where t i and t e respectively indicate the internal and external hull-interaction thrust deductions. Hence, (11) refines to:…”

Section: Propeller Characteristics Thrust Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Structures and Identification for Fully Embedded Thrusters: 360-Degrees-Steerable Steering-Grid and Four-Channel Thrusters

Peeters

Afzal

Vanierschot

et al. 2020

JMSE

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“…External factors that affect the maneuverability of the ships are: shallow waters, winds, currents, waves, marine vehicles, and land structures. Internal factors are; ship speed, vessel structure, propeller, and rudder systems [19].…”

Section: Bridge Operations Risks and Root Causesmentioning

confidence: 99%

Safety Indications of Navigation Audit for Tankers to Develop a Bridge Inspection Method

Altun¹,

Kum²

2019

JCC

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A significant amount of world trade has been carried out by maritime transportation. In 2016, world maritime trade volume increased by 2% and reached 10.3 billion tons, 55,057 global ton-miles. There has been a significant increase in quantity and tonnage of tankers, with the requirement for well qualified and experienced personnel in the maritime industry. Therefore, employment has become a serious problem. Major Oil Companies (MOCs), port states, classification societies, and flag states have increased the number of inspections on tankers due to safety concerns. Tanker inspections are becoming more difficult and inefficient due to intensive cargo operations. Inefficient, subjective or substandard inspections/evaluations are usually leading to incorrect decisions, and causing an unfair market. In addition, corrective actions cannot be carried out properly, and decision making authorities cannot give the best decisions about vessels and their operator companies due to lack of scientific methods. In this study, details are identified such as finding the root causes, identifying the risks, understanding the possible consequences, and determining the working areas during the ship crews', operators', auditors' and charterers' working and ship selection periods. Pairwise comparisons were carried out by means of surveys on ship masters (captains), chief officers, deck officers, and superintendents. Five criteria-Crew, Equipment, Company, Structure, and ISM (International Safety Management) were weighted using Analytical Hierarchy Process (AHP). Finally, Bridge Safety Support System (BSSS) was developed according to criteria weights. In this way, best choices can be offered to ship charterers about which ship is better for a company's interests. And, carrying out bridge inspections and corrective actions will be more reliable and effective for maritime transportation. Statistical data and vessel improvements will be obtained in BSSS. As a result, fair market conditions will be available in maritime industry with the help of this study. How to cite this paper: Altun, M.H.A. and Kum, S. (2019) Safety Indications of Navigation Audit for Tankers to Develop a

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“…The applied CFD identification approach was chosen for three reasons: (i) No towing tank scale model is available of the CEMT I vessel and real scale experiments would have been too expensive, hence currently eliminating the EFD approach for research activities; (ii) The prism shape of the CEMT I vessels differs significantly from most, more hydrodynamical designed, sea vessels. This difference makes the empiric formulae for the hydrodynamic coefficients of sea vessels not advisable, as the dimensions of the inland vessels would be out of bounds of these regression formulae [12]; (iii) Additionally, regression formulae for bigger inland vessels are scarce [10] and often do not scale well due to their other dimensional relationships between length, breadth, and width compared to the CEMT I vessel.…”

Section: Introductionmentioning

confidence: 99%

Surge Resistance Identification of Inland Vessels by Computational Fluid Dynamics

Peeters

Eggers

Boonen

et al. 2018

2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)

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Inland vessels play a vital role in inland freight transportation, nevertheless, they currently suffer from the competition by road and rail transport. Therefore, augmenting their motion control -with the future possibility of unmanned barges in mind -could increase their competitiveness and induce a paradigm shift in the inland freight transport sector. However, there has been relatively little analysis of the manoeuvring characteristics of small inland vessels or selfpropelled barges. Consequently, this study uses Computational Fluid Dynamics (CFD) to identify a single-variable second-order surge resistance model for a typical European Class (CEMT) type I vessel. This identification method applied the OpenFOAM software to solve the Reynolds Averaged Navier Stokes (RANS) equations by deploying a Volume of Fluid (VOF) approach and a k-omega turbulence model. This CFD methodology was first benchmarked on a KVLCC2 hull of which experimental data are publicly available to validate the CFD results. Afterwards, this validated numerical approach identified the surge model for the inland CEMT I vessel.

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Literature review on evaluation and prediction methods of inland vessel manoeuvrability

Cited by 35 publications

References 55 publications

Model Structures and Identification for Fully Embedded Thrusters: 360-Degrees-Steerable Steering-Grid and Four-Channel Thrusters

Model Structures and Identification for Fully Embedded Thrusters: 360-Degrees-Steerable Steering-Grid and Four-Channel Thrusters

Safety Indications of Navigation Audit for Tankers to Develop a Bridge Inspection Method

Surge Resistance Identification of Inland Vessels by Computational Fluid Dynamics

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