On the development of an efficient numerical ice tank for the simulation of fluid-ship-rigid-ice interactions on graphics processing units

Janßen, Christian F.; Mierke, Dennis; Rung, Thomas

doi:10.1016/j.compfluid.2017.05.006

Cited by 20 publications

(11 citation statements)

References 21 publications

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“…Janßen et al [47] used the Lattice Boltzmann Method (LBM) to account for the fluid, and coupled LBM with a physical engine to model the movement of ice floes. The aim was to create an efficient numerical ice tank.…”

Section: Ice Floementioning

confidence: 99%

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A Review of Computational Simulation Methods for a Ship Advancing in Broken Ice

Huang

2022

JMSE

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Apart from breaking level ice, polar ships can interact with broken ice in various scenarios. In recent years, computational simulation models have increasingly been used for the evaluation of ship operability under broken ice conditions, presenting some challenging issues. This paper reviews existing simulation methods used to estimate ship performance and ice loads for ships advancing continuously in broken ice fields. Models for different types of broken ice, including ice floes, ice ridges, brash ice, and sliding ice pieces, are reviewed separately. A ship’s response in broken ice is divided into two categories: resistance, which relates to the overall ship performance, and local loads, which relates to structural safety. This review shows that most existing models are proposed for unbreakable ice particles, which are only applicable to broken ice of small size; most models treat fluid flow with extensive simplification, which does not reflect the influence of a ship’s wake or bow waves, and most models are aimed at resistance estimation, adopting elastic or viscoelastic contact models which do not include ice crushing. As for future work, it is suggested that more effort should be assigned to simulating a ship’s interaction with ice ridges and sliding ice pieces, the modelling of breakable ice floes, and the coupling of the Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD). More attention to the local ice load estimation is also encouraged.

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Section: Ice Floementioning

confidence: 99%

“…Common shapes to model ice floes include a circular disk, polygon, a square, or a rectangle. Only Huang et al [3] model the fluid flow extensively using the CFD, while several other models adopt ALE [14,15,43,44] and LBM [47]. The other models simply use drag and added mass.…”

Section: Ice Floementioning

confidence: 99%

A Review of Computational Simulation Methods for a Ship Advancing in Broken Ice

Huang

2022

JMSE

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“…The LBM simulations are performed using the GPU-accelerated Efficient Lattice Boltzmann Environment ELBE 1 (Janßen et al, 2015) mainly developed at Hamburg University of Technology (TUHH). The toolkit comprises various collision models, allows for free-surface modelling (Janßen et al, 2017) as well as efficient geometry mapping (Mierke et al, 2018). The implementation of the CLBM in ELBE was recently validated by Gehrke et al (2017Gehrke et al ( , 2020.…”

Section: The Lattice Boltzmann Solver Elbementioning

confidence: 99%

Actuator Line Simulations of Wind Turbine Wakes Using the Lattice Boltzmann Method

Asmuth¹,

Olivares-Espinosa²,

Ivanell³

2019

Preprint

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Abstract. The presented work investigates the potential of large-eddy simulations (LES) of wind turbine wakes using the cumulant lattice Boltzmann method (CLBM). The wind turbine is represented by the actuator line model (ALM) that is implemented in a GPU-accelerated (Graphics Processing Unit) lattice Boltzmann framework. The implementation is validated and discussed by means of a code-to-code comparison to an established finite-volume Navier-Stokes solver. To this end, the ALM is subjected to a uniform laminar inflow while a standard Smagorinsky sub-grid scale model is employed in both numerical approaches. The comparison shows a good agreement in terms of the blade loads and near-wake characteristics. The main differences are found in the point of laminar-turbulent transition of the wake and the resulting far-wake. In line with other studies these differences can be attributed to the different orders of accuracy of the two methods. In a second part the possibilities of implicit LES with the CLBM are investigated using a limiter applied to the third-order cumulants in the scheme's collision operator. The study shows that the limiter generally ensures numerical stability. Nevertheless, a universal tuning approach for the limiter appears to be required, especially for perturbation-sensitive transition studies. In summary, the range of discussed cases outline the general feasibility of wind turbine simulations using the CLBM. In addition, it highlights the potential of GPU-accelerated LBM implementations to significantly speed up LES in the field of wind energy.

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“…He also contributed to a couple of papers already [25,26,30,35]. Moreover, he won the "Best GPU-related talk" award at the 13th International Conference for Mesoscopic Methods in Engineering and Science (ICMMES 2016, 18-22 July, Hamburg, Germany) and was awarded a recent NVIDIA GPU.…”

Section: Dennis Mierke Phd Student Tuhhmentioning

confidence: 99%

“…For the bulk flow solution, both conventional single-relaxation-time (SRT) and multiple-relaxation-time (MRT) collision operators and more sophisticated, very low-diffusive Cumulant operators are applied, as elaborately discussed for turbulent channel flows in [24]. Rigid-body motions are modeled with quaternion-based motion solvers or a collision-resolving physics engine, as detailed in [25,26]. The code permits simulations on O(10,000) CUDA cores on multiple GPUs in a shared memory system.…”

Section: Lbm Bulk Schemementioning

confidence: 99%

Using an Interactive Lattice Boltzmann Solver in Fluid Mechanics Instruction

Gleßmer

Janßen

2017

Computation

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Abstract:This article gives an overview of the diverse range of teaching applications that can be realized using an interactive lattice Boltzmann simulation tool in fluid mechanics instruction and outreach. In an inquiry-based learning framework, examples are given of learning scenarios that address instruction on scientific results, scientific methods or the scientific process at varying levels of student activity, from consuming to applying to researching. Interactive live demonstrations on portable hardware enable new and innovative teaching concepts for fluid mechanics, also for large audiences and in the early stages of the university education. Moreover, selected examples successfully demonstrate that the integration of high-fidelity CFD methods into fluid mechanics teaching facilitates high-quality student research work within reach of the current state of the art in the respective field of research.

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On the development of an efficient numerical ice tank for the simulation of fluid-ship-rigid-ice interactions on graphics processing units

Cited by 20 publications

References 21 publications

A Review of Computational Simulation Methods for a Ship Advancing in Broken Ice

A Review of Computational Simulation Methods for a Ship Advancing in Broken Ice

Actuator Line Simulations of Wind Turbine Wakes Using the Lattice Boltzmann Method

Using an Interactive Lattice Boltzmann Solver in Fluid Mechanics Instruction

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