Red River Structure Physical Model Study

Abstract

A proposed Red River Structure (RRS), intended to function as one of three gated structures comprising the Fargo-Moorhead Metropolitan Area Flood Risk Management Project, was tested in a general physical model. A 1:40 Froude-scale was applied to model the structure, engineered channels, existing bathymetry/topography in the Red River and overbank areas, and the proposed Southern Embankment. The physical model was used to ensure that the RRS could pass at least 104,300 cfs during the Probable Maximum Flood while maintaining a maximum pool water surface elevation of 923.5 ft. The physical model was also utilized to optimize the approach structure, stilling basin, retaining walls, and erosion protection designs. The physical modeling effort resulted in an optimized stilling basin wall, retaining wall, and end sill geometry/configuration where erosive conditions were not observed outside and adjacent to the stilling basin. Properly designed riprap (St. Paul Districts R470 gradation) proved to be successful in protecting the proposed RRS from potential scour downstream. The modified approach wall design proved to be successful in creating safe approach flow conditions as well as acceptable flow separation patterns. It is recommended that Alternative 3 be the design used going forward.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1110883

Entities

People

  • Duncan B. Bryant
  • Gary L. Bell
  • Gaurav Savant
  • Howard E. Park
  • Jeremy A. Sharp
  • Locke M. Williams

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Embankments
  • Engineering
  • Engineers
  • Flood Control
  • Flood Hazards
  • Floods
  • Flow Separation
  • Gates
  • Geometry
  • Hydraulics
  • Hydrodynamics
  • Measurement
  • Retaining Walls
  • Risk Management
  • Stilling Basins
  • Two Dimensional

Readers

  • Hydrologic Risk Analysis and Mitigation.
  • Molecular Genetics
  • Riverine Ecology