Ice gouge depth determination via an efficient stochastic dynamics technique
A simplified model of the motion of a grounding iceberg for determining the gouge depth into the seabed is proposed. Specifically, taking into account uncertainties relating to the soil strength, a nonlinear stochastic differential equation governing the evolution of the gouge length/depth in time i...
Published in: | Journal of Offshore Mechanics and Arctic Engineering |
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Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
2017
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Subjects: | |
Online Access: | https://strathprints.strath.ac.uk/70475/ https://strathprints.strath.ac.uk/70475/1/Gazis_etal_JOMAE_2016_Ice_gouge_depth_determination_via_an_efficient_stochastic_dynamics_technique.pdf https://doi.org/10.1115/1.4034372 |
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author | Gazis, Nikolaos Kougioumtzoglou, Ioannis A. Patelli, Edoardo |
author_facet | Gazis, Nikolaos Kougioumtzoglou, Ioannis A. Patelli, Edoardo |
author_sort | Gazis, Nikolaos |
collection | University of Strathclyde Glasgow: Strathprints |
container_issue | 1 |
container_title | Journal of Offshore Mechanics and Arctic Engineering |
container_volume | 139 |
description | A simplified model of the motion of a grounding iceberg for determining the gouge depth into the seabed is proposed. Specifically, taking into account uncertainties relating to the soil strength, a nonlinear stochastic differential equation governing the evolution of the gouge length/depth in time is derived. Further, a recently developed Wiener path integral (WPI) based approach for solving approximately the nonlinear stochastic differential equation is employed; thus, circumventing computationally demanding Monte Carlo based simulations and rendering the approach potentially useful for preliminary design applications. The accuracy/reliability of the approach is demonstrated via comparisons with pertinent Monte Carlo simulation (MCS) data. |
format | Article in Journal/Newspaper |
genre | Arctic |
genre_facet | Arctic |
id | ftustrathclyde:oai:strathprints.strath.ac.uk:70475 |
institution | Open Polar |
language | unknown |
op_collection_id | ftustrathclyde |
op_doi | https://doi.org/10.1115/1.4034372 |
op_relation | https://strathprints.strath.ac.uk/70475/1/Gazis_etal_JOMAE_2016_Ice_gouge_depth_determination_via_an_efficient_stochastic_dynamics_technique.pdf Gazis, Nikolaos and Kougioumtzoglou, Ioannis A. and Patelli, Edoardo <https://strathprints.strath.ac.uk/view/author/1256125.html> (2017 <https://strathprints.strath.ac.uk/view/year/2017.html>) Ice gouge depth determination via an efficient stochastic dynamics technique. Journal of Offshore Mechanics and Arctic Engineering <https://strathprints.strath.ac.uk/view/publications/Journal_of_Offshore_Mechanics_and_Arctic_Engineering.html>, 139 (1). 011501. ISSN 0892-7219 |
publishDate | 2017 |
record_format | openpolar |
spelling | ftustrathclyde:oai:strathprints.strath.ac.uk:70475 2025-04-20T14:29:05+00:00 Ice gouge depth determination via an efficient stochastic dynamics technique Gazis, Nikolaos Kougioumtzoglou, Ioannis A. Patelli, Edoardo 2017-02-28 text https://strathprints.strath.ac.uk/70475/ https://strathprints.strath.ac.uk/70475/1/Gazis_etal_JOMAE_2016_Ice_gouge_depth_determination_via_an_efficient_stochastic_dynamics_technique.pdf https://doi.org/10.1115/1.4034372 unknown https://strathprints.strath.ac.uk/70475/1/Gazis_etal_JOMAE_2016_Ice_gouge_depth_determination_via_an_efficient_stochastic_dynamics_technique.pdf Gazis, Nikolaos and Kougioumtzoglou, Ioannis A. and Patelli, Edoardo <https://strathprints.strath.ac.uk/view/author/1256125.html> (2017 <https://strathprints.strath.ac.uk/view/year/2017.html>) Ice gouge depth determination via an efficient stochastic dynamics technique. Journal of Offshore Mechanics and Arctic Engineering <https://strathprints.strath.ac.uk/view/publications/Journal_of_Offshore_Mechanics_and_Arctic_Engineering.html>, 139 (1). 011501. ISSN 0892-7219 Naval architecture. Shipbuilding. Marine engineering Environmental engineering Article PeerReviewed 2017 ftustrathclyde https://doi.org/10.1115/1.4034372 2025-03-21T05:43:28Z A simplified model of the motion of a grounding iceberg for determining the gouge depth into the seabed is proposed. Specifically, taking into account uncertainties relating to the soil strength, a nonlinear stochastic differential equation governing the evolution of the gouge length/depth in time is derived. Further, a recently developed Wiener path integral (WPI) based approach for solving approximately the nonlinear stochastic differential equation is employed; thus, circumventing computationally demanding Monte Carlo based simulations and rendering the approach potentially useful for preliminary design applications. The accuracy/reliability of the approach is demonstrated via comparisons with pertinent Monte Carlo simulation (MCS) data. Article in Journal/Newspaper Arctic University of Strathclyde Glasgow: Strathprints Journal of Offshore Mechanics and Arctic Engineering 139 1 |
spellingShingle | Naval architecture. Shipbuilding. Marine engineering Environmental engineering Gazis, Nikolaos Kougioumtzoglou, Ioannis A. Patelli, Edoardo Ice gouge depth determination via an efficient stochastic dynamics technique |
title | Ice gouge depth determination via an efficient stochastic dynamics technique |
title_full | Ice gouge depth determination via an efficient stochastic dynamics technique |
title_fullStr | Ice gouge depth determination via an efficient stochastic dynamics technique |
title_full_unstemmed | Ice gouge depth determination via an efficient stochastic dynamics technique |
title_short | Ice gouge depth determination via an efficient stochastic dynamics technique |
title_sort | ice gouge depth determination via an efficient stochastic dynamics technique |
topic | Naval architecture. Shipbuilding. Marine engineering Environmental engineering |
topic_facet | Naval architecture. Shipbuilding. Marine engineering Environmental engineering |
url | https://strathprints.strath.ac.uk/70475/ https://strathprints.strath.ac.uk/70475/1/Gazis_etal_JOMAE_2016_Ice_gouge_depth_determination_via_an_efficient_stochastic_dynamics_technique.pdf https://doi.org/10.1115/1.4034372 |