A Comparison of GenCade, Pelnard-Considere, and LITPACK

Abstract

The purpose of this Coastal and Hydraulics Engineering Technical Note (CHETN) is to investigate the basic physics and numerical code of GenCade by running a series of simplified test cases and comparing the results to another numerical shoreline evolution model and an analytical solution. The complementary numerical code is the widely used shoreline evolution model LITPACK. The analytical model is the original solution derived by Pelnard-Considere (1956). The underlying assumption in all three approaches is a beach profile of constant shape so that shoreline change is driven by long-shore transport processes and a combination of independent sediment sources or sinks (e.g., sea level change, subsidence). The CHETN presents a descriptive overview of the theory behind the models followed by an inter-comparison using a set of four test cases involving shoreline change in the vicinity of idealized coastal structures and a beach nourishment. GenCade shows good agreement with LITPACK, and both models compare well to the analytical solution for these idealized cases. The GenCade results indicate that the underlying numerical code and basic physical process are consistent with other widely used shoreline modeling systems.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2020
Accession Number
AD1094848

Entities

People

  • Julie Dean Rosati
  • Richard Styles
  • Rusty Permenter
  • Sung-chan Kim
  • Yan Ding

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Beaches
  • Boltzmann Equation
  • Boundaries
  • Coastal Engineering
  • Diffraction
  • Diffusion
  • Engineering
  • Engineers
  • Equations
  • Grain Size
  • Materials
  • Regions
  • Sea Level
  • Sea Level Rise
  • Sedimentation
  • Shores
  • Simulations

Readers

  • Coastal Oceanography
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation