Efficient Multiscale Computation with Improved Momentum Flux Coupling via Operator-Splitting and Probabilistic Uncertainty Quantification

Abstract

Because of the significantly increased computational burden and difficulties with vertically-refined grids in very shallow water, essentially all surges modeling in applications has utilized depth-averaged models to specify coastal surges, even in cases where accuracy is absolutely critical. Although several studies have examined cases in areas with complicated bathymetry, no one has conduction detailed analyses of the suitability of depth-averaged models for typical open-coast areas, which often tend to be relatively slowly varying spatially.

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Document Details

Document Type
Technical Report
Publication Date
Aug 23, 2016
Accession Number
AD1017243

Entities

People

  • Donald Resio
  • Himangshu Das

Organizations

  • Jackson State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Boundary Layer
  • Civil Engineering
  • Computational Fluid Dynamics
  • Computational Science
  • Data Mining
  • Department Of Homeland Security
  • Engineers
  • Geography
  • Information Science
  • Military Research
  • Neural Networks
  • Probabilistic Models
  • Storm Surges
  • Students
  • Three Dimensional
  • Turbulence
  • Turbulent Mixing

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Fluid Dynamics (CFD)