Elsevier

Ocean Engineering

Volume 221, 1 February 2021, 108527
Ocean Engineering

Review
A literature survey of broken ice-structure interaction modelling methods for ships and offshore platforms

https://doi.org/10.1016/j.oceaneng.2020.108527Get rights and content

Highlights

  • An extensive survey of models to predict stationkeeping structures’ interactions with broken ice-fields is presented.

  • The modelling techniques are categorized into groups: Analytical, Empirical-Statistical, Numerical, and Hybrid Methods.

  • Not all the methods surveyed can model ice-structure interaction with the relevant reliability and accuracy.

  • Researchers have made recognizable progress; however, more validations are needed to have confidence in the models.

Abstract

Numerical modelling present an alternative to the more industry-accepted full-scale trials and physical model tests for predicting ice actions on ships and offshore platforms in a broken ice-field. Before a method is developed or adopted, it is essential to survey the existing methods that modelled relevant aspects of ice-ship interaction processes. This work presents an extensive literature survey of various existing ice-structure interaction models, primarily in the context of their applications to the simulations of stationkeeping and dynamic positioning (DP) of ships and offshore platforms in broken and managed ice-fields. A brief discussion is presented on various modelling methods, highlights of their capabilities, limitations, and applicability for real-time or fast simulations. Most of the computational methods such as finite element method (FEM), discrete element method (DEM), particle in cell (PIC) method, smoothed particle hydrodynamics (SPH) method, and other conventional computational fluid dynamics (CFD) methods require high computation resources. They often take a long calculation time, which is unsuitable for real-time simulations. The suitable methods for such simulations are perhaps the non-smooth DEM (NDEM), 2-D DEM, empirical, and some hybrid methods. Regardless of the methods adopted, validations with quality measurements and observations are paramount to the success of the models.

Introduction

The interest in future oil and gas exploration in deep water arctic regions is expected to demand customized stationkeeping systems. Of particular interest are dynamic positioning (DP) capabilities for drill-ships, offshore supply ships, floating production, storage and offloading (FPSOs), and icebreakers, allowing them to operate under challenging sea ice drift conditions. One of the greatest threats to the DP systems of ships and offshore installations is the multi-directionality of drifting sea ice with a wide variety of types and forms, ranging from isolated first-year floes to compacted multi-year ridges (Metrikin, 2015). This issue is further complicated by the ice-ship interaction process that depends on many complex and interconnected parameters and characteristics related to the ice-field, the ship, and the surrounding environment (Metrikin, 2014). Analytical and numerical models and their validations using measurements are essential and a key to understanding the problem and designing both the floating and stationkeeping systems.

The operators have gained limited experience in real-world stationkeeping in broken ice-fields (managed and unmanaged) over the last few decades. Early experiences include the Canmare/Dome drillship operations (Jolles et al., 1989), the Kulluk drilling campaigns (Wright, 1999) and the Sakhalin 2 phase 1 oil production operations that were using the floating storage and offloading tanker Okha (Keinonen et al., 2000, 2006a, 2006b). For the first time in history, dynamic positioning operations in ice were performed in the offshore Sakhalin, May–June 1999 (Keinonen et al., 2000). In support of compression diving, the CSO constructor performed the dynamic positioning operation in ice of a type B ice-class ship with support from two icebreakers acting as an ice management team. Ice management has been an integral part of exploration and production activities in the Arctic, where stationkeeping is required. Rohlén (2009) discussed the relationship between ice management and stationkeeping in ice with specific references for some full-scale efforts. Based on the experience in the Arctic Core Expedition (ACEX2004) and KANUMAS 2008 operations, the author stressed the importance and relevance of ice management in stationkeeping of floating structures during oil and gas related activities in the arctic region. Impacts from unmanaged ice floes and changes in the ice drift direction were hazardous to the stationkeeping systems during the pioneering operations of the CSO Constructor (Keinonen et al., 2000) and the Vidar Viking (Keinonen et al., 2006a). Recently, a DP operation was performed by the icebreaking rescue and emergency ship Baltika equipped with the Navis Nav DP4000 (DP System) and the Navis AP4000 Heading control system (autopilot) in the Kara Sea (Navis Engineering, 2015). A majority of the researchers and operators above identified the need for developing prediction capabilities, simulation technologies and training facilities for DP operations in heavy managed and unmanaged dynamic ice conditions. Before developing these technologies, the current knowledge gap in understanding the magnitude and nature of ice actions encountered by the DP-controlled drilling and production systems operating in broken ice-fields need to be addressed.

Several Research and Development projects were initiated worldwide to improve the understanding of ice-structure interactions and enhance the capabilities of the existing stationkeeping systems. HSVA in Germany led a 3-year (2010–2012) R & D project titled “Dynamic Positioning in Ice-covered Waters (DYPIC)” primarily aiming at developing and improving its numerical modelling and physical model testing capabilities of DP ships (Jenssen et al., 2012; Kerkeni et al., 2014). Norwegian University of Science and Technology (NTNU) led a five year (2010–2014) R & D project titled “Arctic DP – Safe and Green Dynamic Positioning Operations of Offshore Ships in an Arctic Environment,” primarily aiming at developing DP control system technologies for proper DP operations in the Arctic environment (Skjetne et al., 2014). The Centre for Marine Simulation at the Marine Institute (CMS-MI), the NRC-OCRE and Kongsberg Digital Simulation (KDS) Ltd., has completed a 5 year R & D project and developed a statistically reliable numerical model to predict in real-time the ice actions encountered by stationkeeping ships due to the complex and dynamic ice-ship interactions in different managed ice environments. These projects resulted in multiple numerical tools for modelling the broken ice and floating structure interactions and contributed to the advancement of knowledge and understanding of the intricate ice-structure interactions (Islam et al., 2016a, Islam et al., 2016b, 2018). Besides the above endeavour, several other methods have been developed for modelling the global ice loads on stationary and moving ships. Documentation on various numerical methods and their capabilities and limitations is expected to benefit the current and new researchers. This encourages an effort to accumulate all existing research to better understand the effect of various ice-field parameters on the performance of a stationkeeping structure and the ice-structure interactions modelling endeavours.

This paper presents a comprehensive literature survey of publicly available ice-structure interaction prediction models and research. Section 2 presented a summary of the detailed literature survey on various existing ice-structure interaction models. In the survey, all methods are conveniently grouped into four categories. A brief discussion is presented for each method, highlighting their capabilities, limitations, and applicability for practical and real-time simulations. After this, the authors present a summary of the methods in the context of several modelling aspects for practical and real-time simulations of DP ships and broken ice interactions. Finally, the authors present a few concluding remarks and a comprehensive list of references.

Section snippets

Literature survey of broken ice – structure interaction models

The accuracy and reliability of a modelling method depend on how accurately the most relevant ice-structure interaction processes are modelled. The design of a traditional ice-structure numerical model typically addresses the most relevant physical property to the anticipated ice-structure interaction modes (typically, a choice is made between bending and crushing for ice failure). For the sloping ship bow and conical offshore platforms, the bending failure of the ice sheet or large floe

Concluding remarks

This paper presents a comprehensive survey of all published ice–structure modelling research, primarily in the context of their applications to predict the ice-structure interactions of ships or floating platforms with broken ice-fields. In this survey, the existing methods are categorized into four groups: Analytical Methods, Empirical-Statistical Methods, Numerical Methods, and Hybrid Methods. Discussions are presented on the sub-sets of each group of references with an emphasis on the

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgement

The authors thank the Centre for Marine Simulation, Fisheries and Marine Institute (CMS-MI) of Memorial University, the National Research Council Canada, Petroleum Research Newfoundland and Labrador (PRNL), the Atlantic Canada Opportunities Agency (ACOA), InnovateNL (formerly the Research Development Corporation, RDC), and Kongsberg Digital Services (KDS) for their financial and logistical support. The authors acknowledge all affiliated companies for sharing their technical knowledge and

References (194)

  • M.-C. Kim et al.

    Comparative study on the resistance performance of an icebreaking cargo ship according to the variation of waterline angles in pack ice conditions

    Int. J. Naval Architect. Ocean Eng.

    (2014)
  • A.F. Aboulazm

    Ship Resistance in Ice Floe Covered Waters

    (1989)
  • S. Alawneh

    Hyper-Real-Time Ice Simulation and Modelling Using GPGPU

    (2014)
  • S. Alawneh et al.

    Hyper-Real-Time Ice Simulation and Modeling Using GPGPU

  • T.H Amdahl et al.

    Numerical simulations of ice loads on an Arctic Floater in managed ice

    In Proc. of the Arctic Technology Conference

    (2014)
  • A. Barker et al.

    Upward- or downward-breaking cones in ice: which one should you use?

  • A. Barker et al.

    Numerical simulation of floating ice forces on bridge piers

  • A. Barker et al.

    Numerical simulation of the “Kulluk” in pack ice conditions

  • A. Barker et al.

    Numerical simulation of ice interaction with a wide cylindrical pier

  • A. Barker et al.

    Conical structures in ice: the roles friction, slope, and shape play

  • M. Berg et al.

    An implicit time-stepping scheme and an improved contact model for ice-structure interaction simulations

    Cold Reg. Sci. Technol.

    (2018)
  • M. Berg et al.

    The effect of ice floe shape on the load experienced by vertical- sided structures interacting with a broken ice field

    Mar. Struct.

    (2019)
  • M. Berg et al.

    The effect of ice floe shape on the load experienced by vertical- sided structures interacting with a broken ice field

  • T. Berglund

    Ice Fracture Model for Real-Time Ship Simulator

    (2012)
  • B. Bonnemaire et al.

    Ice breaking and accumulation around a moored structure: ice basin tests and numerical simulations

  • B. Bonnemaire et al.

    Post-simulations of ice basin tests of a moored structure in broken ice - challenges and solutions

  • I. Cabrera

    Smoothed Particle Hydrodynamics Modelling of Brash Ice

    (2017)
  • M. Cahay et al.

    Ice load calculation on semi-submersible platform

  • P. Cambos

    Ice-load Modelling

    (2014)
  • R.B. Canelas et al.

    A Smooth Particle Hydrodynamics Discretization for the Modelling of Free Surface Flows and Rigid Body Dynamics

    (2015)
  • R.B. Canelas et al.

    SPH-DCDEM Model for Arbitrary Geometries in Free-Surface Solid-Fluid Flows

    (2016)
  • M.A. Celigueta et al.

    Accurate modelling of the 595 elastic behavior of a continuum with the Discrete Element Method

    J. Comput. Mech.

    (2017)
  • K.R. Croasdale et al.

    sea ice forces due to managed ice

  • P. Cundall et al.

    A discrete numerical model for granular assemblies

    Géomethod

    (1979)
  • J. Dai et al.

    Discrete element modelling of pack ice interaction with floating structures

  • J. Dai et al.

    Numerical modelling for dynamic positioning in pack ice

  • H. Daiyan et al.

    Numerical simulation of the ice-structure interaction in LS-dyna

  • C.G. Daley et al.

    GPU modelling of ship operations in pack ice

  • C.G. Daley et al.

    GPU-Event-Mechanics evaluation of ice impact load statistics

  • J. Das et al.

    Numerical simulation of crushing and bending failure of ice using SPH

  • J. Das et al.

    Numerical simulation of an ice beam in four-point bending using SPH

  • N. Duchting

    Combined FEM-SPH Simulations for Ice in Compression

    (2018)
  • A. Dudal et al.

    A new arctic platform design tool for simulating ice - structure interaction

  • K.J. Eik et al.

    Characterization of peak loads on a moored production ship in ice

  • D. Feng et al.

    Parameter sensitivity in numerical modelling of ice-structure interaction with cohesive element method”

  • R. Gagnon et al.

    First results of numerical simulations of bergy bit collisions with the CCGS Terry Fox icebreaker

  • R. Gagnon et al.

    Comprehensive numerical simulations of a tanker collision with a bergy bit incorporating damage to the ship

  • R. Gash et al.

    Managed ice loads on a dynamically positioned ship

  • A. Gürtner

    Experimental and Numerical Investigations of Ice-Structure Interaction

    (2009)
  • A. Gürtner et al.

    Numerical simulations of managed ice loads on a moored arctic drillship

  • Cited by (25)

    • Modelling of the Dynamically Positioned vessels and managed ice-field interaction dynamics using empirical-statistical techniques

      2022, Ocean Engineering
      Citation Excerpt :

      Islam et al. (2021a) and Xue et al. (2020) presented an extensive literature review of existing techniques and approaches for modelling broken ice-structure interactions. Islam et al. (2021a) mentioned that the realistic modelling of ice-ice and ice-ship interactions in real-time with reasonably high-fidelity simulation and minimum integration complexity would dictate such a model to facilitate complex marine operations and training simulators. The majority of high fidelity methods such as Finite Element Modelling (FEM), Particle In Cell (PIC), Classic Discrete Element Modelling (DEM) 3D, Computational Fluid Dynamics (CFD) and Smoothed Particle Hydrodynamics (SPH) would not apply to such model, primarily because of the real-time prediction capability requirement.

    • Non-switching reference trajectory based discrete-time sliding mode path following control for dynamic positioning ship with time-varying disturbances

      2022, Ocean Engineering
      Citation Excerpt :

      DPS has the advantages of good maneuverability, rapid movement and positioning is not affected by water depth, which plays a vital role in the field of ocean development. With the increasing demand for marine natural resources, dynamic positioning technology has been widely used in various marine applications, such as offshore oil and gas development, cable laying, dredgers, and so on (Abdelaal et al., 2018; Li et al., 2018b,a; Jung and Yoo, 2019; Islam et al., 2021). At present, many research results are using different kinds of control methods in the research of ship’s path following control (Qu et al., 2021; Gao and Guo, 2020; Zhang and Zhang, 2014).

    View all citing articles on Scopus
    View full text