A numerical model for real-time simulation of ship–ice interaction

Lubbad, Raed; Løset, Sveinung

doi:10.1016/j.coldregions.2010.09.004

Cited by 184 publications

(94 citation statements)

References 3 publications

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“…However, models applying physics engines have shown great promise for handling this, see e.g. (Lubbad and Løset, 2011), (Metrikin et al, 2012b. As mentioned above, the numerical model described in (Metrikin, 2014) is applied as the process model for DP in managed ice.…”

Section: Process Model and Closed Loop Simulation Platformmentioning

confidence: 99%

Modeling and Control for Dynamic Positioned Marine Vessels in Drifting Managed Sea Ice

Kjerstad¹,

Skjetne²

2014

MIC

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This paper presents a development framework for dynamic positioning control systems for marine vessels in managed ice. Due to the complexity of the vessel-ice and ice-ice interactions a configurable high fidelity numerical model simulating the vessel, the ice floes, the water, and the boundaries is applied. The numerical model is validated using experimental data and coupled with a control application incorporating sensor models, control systems, actuator models, and other external dynamics to form a closed loop development platform. The ice drift reversal is simulated by moving the positioning reference frame in an elliptic trajectory, rather than moving each individual ice floe. A control plant model is argued, and a control system for managed ice is proposed based on conventional open water design methods. A case study shows that dynamic positioning in managed ice is feasible for some moderate ice conditions.

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Section: Process Model and Closed Loop Simulation Platformmentioning

confidence: 99%

Modeling and Control for Dynamic Positioned Marine Vessels in Drifting Managed Sea Ice

Kjerstad¹,

Skjetne²

2014

MIC

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“…A relative heading towards the ice sheet heavily exposing these hull sections will cause enlarged resistance. Relevant examples of research on numerical modeling of ice-hull interaction and ship maneuvering in level ice can be found in Valanto (2001), Liu et al (2006), Martio (2007), Nguyen et al (2009), Sawamura et al (2010), Lubbad and Løset (2011), Tan et al (2013), and Metrikin et al (2013). In this paper, the validated partly empirical numerical model presented in Su et al (2010a) is applied to investigate the icebreaking capability and maneuverability of the CIVArctic vessel in level ice.…”

Section: Numerical Modelmentioning

confidence: 99%

Numerical assessment of a double-acting offshore vessel's performance in level ice with experimental comparison

Su¹,

Skjetne²,

Berg³

2014

Cold Regions Science and Technology

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In this paper a numerical model is used to investigate the level ice performance of a double-acting intervention vessel, and the results are compared with a limited set of experimental data. The icebreaking capability and maneuverability in level ice are analyzed by evaluating the behavior of the vessel when it is running both ahead and astern. The simulated icebreaking patterns, h -v curves, and turning circles in different modes of operation are discussed and compared partly with the corresponding ice model tests. The simulation results can supplement the experimental data by providing more information about the vessel's maneuverability in level ice and identifying the physical foundation for the exhibited performance of the vessel. The paper also presents the implementation of a random crack size model for more realistic icebreaking behavior, giving more consistent evaluation of the ship's performance in various ice conditions.

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“…Lubbad et al [39] of this work is to be able to simulate behaviour of ice fields sufficiently quickly by using GPGPU to allow the results to be used for planning ice management activities, and so it is necessary to achieve many times faster than real-time simulation. The results of that work suggest that the level of hyper-real-time performance that we hope to achieve will not result from PhysX.…”

Section: Ice Simulationmentioning

confidence: 99%

Hyper-Real-Time Ice Simulation and Modeling Using GPGPU

Alawneh

Dragt

Peters

et al. 2015

IEEE Trans. Comput.

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Simulation of the behaviour of a ship operating in pack ice is a computationally intensive process to which General Purpose Computing on Graphical Processing Units (GPGPU) can be applied. GPGPU is the use of a GPU (graphics processing unit) to do general purpose scientific and engineering computing. The model for GPU computing is to use a CPU and GPU together in a heterogeneous co-processing computing platform. The sequential part of the application runs on the CPU and the computationally-intensive part is accelerated by the GPU. From the users perspective, the application just runs faster because it is using the high-performance of the GPU to boost performance. This thesis presents an efficient parallel implementation of such a simulator developed using the NVIDIA Compute Unified Device Architecture (CUDA). This simulator can be used to give users the ability to analyze ice-interactions for design, assessment and training purposes. This thesis also describes the execution of experiments to evaluate the performance of the simulator and to validate the numerical modeling of ship operations in pack ice. It also describes the useful applications that have been done using this simulator in planning ice management activities. i

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A numerical model for real-time simulation of ship–ice interaction

Cited by 184 publications

References 3 publications

Modeling and Control for Dynamic Positioned Marine Vessels in Drifting Managed Sea Ice

Modeling and Control for Dynamic Positioned Marine Vessels in Drifting Managed Sea Ice

Numerical assessment of a double-acting offshore vessel's performance in level ice with experimental comparison

Hyper-Real-Time Ice Simulation and Modeling Using GPGPU

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