High Performance Computing Technologies for Modeling the Dynamics and Dispersion of Ice Chunks in the Arctic Ocean

Abstract

Hybrid finite element/finite volume based CaMEL shallow water flow solvers have been successfully extended to study wave effects on ice floes in a simplified 10 sq-km ocean domain. Our solver combines the merits of both the finite element and finite volume methods and is much more sophisticated, robust, super convergent, and is the first of its kind approach extended for studying the dynamics and dispersion of ice chunks in ocean. Apart from studying the influence of waves on rigid, non-moving ice floes, We have also successfully implemented the automatic mesh moving techniques to study the ice kinematics. We have studied the wave-ice interactions using different artificial wave forcing mechanisms impacting, movable isolated ice floes, and also uniformly placed cluster of ice floes that are free to drift.

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Document Details

Document Type
Technical Report
Publication Date
Aug 23, 2016
Accession Number
AD1037351

Entities

People

  • Shahrouz Aliabadi

Organizations

  • Jackson State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Arctic Ocean
  • Computational Fluid Dynamics
  • Department Of Defense
  • Engineering
  • Equations
  • Flow
  • Fluid Flow
  • Fluid Mechanics
  • High Performance Computing
  • Mechanics
  • Ocean Currents
  • Oceans
  • Sea Ice
  • Shallow Water
  • Simulations
  • Students
  • Water Flow

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Polar and Arctic Studies