Manning's roughness coefficient for buried composite arch bridges.
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Manning's roughness coefficient for buried composite arch bridges.

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  • English

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    • Abstract:
      This report includes fulfillment of Task 9 of a multi-task contract to further enhance concrete filled FRP tubes, or

      the Bridge in a Backpack. Task 9 investigates the interaction of water flow under the bridge with the tubes and

      decking and recommends Manning’s roughness coefficients for water flow under the composite backpack bridge

      system.

      There are three flow regimes and each has a different resistance relationship. Quasi-smooth flow occurs only when

      there are depressions or when roughness elements are spaced very close. Hyper-turbulent flow occurs when

      roughness elements are sufficiently close so each element is in the wake of the previous element and rough surface

      vortices are the primary source of the overall friction drag. Isolated roughness flow occurs when roughness spacing

      is large and overall resistance is due to drag on the decking surface and form drag on the arches. Due to the large

      sizes of the tubes and tube spacing, the conventional method of computing roughness coefficient using the formula

      for rough pipe is not applicable here. Instead, we have to use a more complex procedure to calculate the roughness

      coefficient using different formula for different flow regimes described above.

      In this report, Manning’s roughness coefficients are provided when the flow is perpendicular to the bridge and when

      the angle between flow and the bridge is 45 and 30 degrees (Appendix 1). Depending on the arch radius and tube

      size and spacing, Manning’s roughness coefficient of the bridge ranges from 0.016 to 0.045, which is significantly

      larger than that for smooth concrete (n=0.012), due to the large tubes underneath the bridge. These results are

      important findings and should be incorporated in a hydraulic model such as HECRAS to more accurately predict

      water flows and backwater profiles at the FRP tubular bridge.

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