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Research Papers: Structures and Safety Reliability

A Probabilistic High-Pressure Zone Model for Local and Global Loads During Ice-Structure Interactions

[+] Author and Article Information
Rocky S. Taylor

Assistant Professor
Department of Mechanical Engineering,
Memorial University of Newfoundland,
St. John's, NL A1C 5S7, Canada
e-mail: rstaylor@mun.ca

Martin Richard

National Research Council Canada (NRC),
1 Arctic Avenue,
St. John's, NL A1B 3T5, Canada;
Adjunct Professor
Department of Civil Engineering,
Memorial University of Newfoundland,
St. John's, NL A1C 5S7, Canada
e-mail: martin.richard@nrc-cnrc.gc.ca

Ridwan Hossain

Department of Mechanical Engineering,
Memorial University of Newfoundland,
St. John's, NL A1C 5S7, Canada
e-mail: rbh546@mun.ca

1Corresponding author.

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received June 20, 2018; final manuscript received December 17, 2018; published online February 15, 2019. Assoc. Editor: Zhen Gao.

J. Offshore Mech. Arct. Eng 141(5), 051604 (Feb 15, 2019) (10 pages) Paper No: OMAE-18-1075; doi: 10.1115/1.4042386 History: Received June 20, 2018; Revised December 17, 2018

For temperate ice regions, guidance provided by current design codes regarding ice load estimation for thin ice is unclear, particularly for local pressure estimation. This is in part due to the broader issue of having different recommended approaches for estimating local, global, and dynamic ice loads during level ice interactions with a given structure based on region, scenario type, and a variety of other conditions. It is essential from a design perspective that these three scenarios each be evaluated using appropriate definitions for local design areas, global interaction area, and other structural details. However, the need for use of different modeling approaches for ice loads associated with each of these scenarios is not based on ice mechanics but rather has largely evolved as a result of complexities in developing physics-based models of ice failure in combination with the need to achieve safe designs in the face of limited full-scale data and the need for implementation in a probabilistic framework that can be used for risk-based design assessments. During a given interaction, the ice is the same regardless of the design task at hand. In this paper, a new approach is proposed based on a probabilistic framework for modeling loads from individual high-pressure zones acting on local and global areas. The analysis presented herein considers the case of thin, first-year sea ice interacting with a bottom-founded structure based on an empirical high-pressure zone model derived from field measurements. Initial results indicate that this approach is promising for modeling local and global pressures.

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Figures

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Fig. 1

Ice load modeling framework and approach for hpz-based model development

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Fig. 2

Screenshot of the GUI of the JOIA analysis tool developed to assist in the analysis of the tactile sensor dataset

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Fig. 3

Evolution of a single hpz in both space and time

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Fig. 4

Plots of (a) percentage of total force carried by all hpzs and (b) percentage of energy dissipated through hpzs as a function of lower pressure threshold for two interaction speeds. Shaded areas represent ±1 standard deviation around the mean.

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Fig. 5

Plots of (a) duration, (b) total crushed depth, and (c) total crushed volume of individual hpzs as a function of lower pressure threshold. Shaded areas represent ±1 standard deviation around the mean.

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Fig. 6

Histogram of total hpz area as a percentage of nominal interaction area for each frame, for indentation speed of (a) 0.3 cm/s and (b) 3.0 cm/s

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Fig. 7

Histogram of the hpz area (includes all time steps within an hpz “life”) for indentation speed of (a) 0.3 cm/s and (b) 3.0 cm/s

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Fig. 8

Histogram of crushed depth for individual hpzs for indentation speed of (a) 0.3 cm/s and (b) 3.0 cm/s

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Fig. 9

Histogram of the crushed volume of individual hpz for indentation speed of (a) 0.3 cm/s and (b) 3.0 cm/s

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Fig. 10

Peak pressure CDFs within hpzs for indentation speed of 0.3 cm/s and 3.0 cm/s

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Fig. 11

CDF of peak force within hpzs for indentation speed of 0.3 cm/s and 3.0 cm/s

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Fig. 12

Plot of mean indentation trajectories of individual hpzs showing both spatial distribution (represented by horizontal location) and indentation depth, which also indicates the duration of each hpz (represented by length of the line)

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Fig. 13

Illustrations of idealized relationships between global interaction area, local design area (dashed line represents stiffeners between plates), CAE (gray-shaded region), and hpzs (hatched areas) for low aspect ratio (top) and high aspect ratio (bottom)

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Fig. 14

Plot of simulated time series data for force-per-unit width for three structure widths (0.15 m, 1.5 m, and 15 m) compared with the event mean pressure (dashed line)

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Fig. 15

Comparison of simulated pressure–area data from hpz model, ISO global pressure model, and event-maximum method

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