Modeling and optimization of docking stations and AUVs for ice floe measurement

Fang Lu, Zhichao Shu, John Hasenbein, David Morton, Dominic Berta, Khalid Sooft

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider an Arctic drilling platform, which must withstand seasonal ice floes and be protected against extreme ice features. Adequate ice floe thickness estimates are not discernible from satellite images, so autonomous underwater vehicles (AUVs) equipped with sonar scan the thickness of the floes. We approximate this system by an M/G/k+G queue and develop a high fidelity simulation model. We develop and solve a stochastic facility location model, which addresses the design and operational decisions related to the system. Finally, we create a visualization tool to graphically represent the docking station configurations, ice floe arrivals, and the AUV scanning process. These simulations were part of a desktop study and have not been validated through field trials, which we hope to accomplish in the next phase of this study.

Original languageEnglish (US)
Title of host publicationInternational Conference and Exhibition on Performance of Ships and Structures in Ice 2012, ICETECH 2012
Pages331-338
Number of pages8
StatePublished - Dec 1 2012
Event10th International Conference and Exhibition on Performance of Ships and Structures in Ice 2012, ICETECH 2012 - Banff, AB, Canada
Duration: Sep 17 2012Sep 20 2012

Publication series

NameInternational Conference and Exhibition on Performance of Ships and Structures in Ice 2012, ICETECH 2012

Other

Other10th International Conference and Exhibition on Performance of Ships and Structures in Ice 2012, ICETECH 2012
CountryCanada
CityBanff, AB
Period9/17/129/20/12

Keywords

  • AUVs
  • M/G/k+G queue
  • Simulation
  • Stochastic facility location
  • Visualization

ASJC Scopus subject areas

  • Ocean Engineering

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