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MODELING FLOW IN LOCK MANIFOLDS. Richard L. Stockstill, Jane M. Vaughan, and E. Allen Hammack U.S. Army Engineer Research and Development Center Coastal and Hydraulics Laboratory. Evaluation of Lock Manifolds.
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MODELING FLOW IN LOCK MANIFOLDS Richard L. Stockstill, Jane M. Vaughan, and E. Allen Hammack U.S. Army Engineer Research and Development Center Coastal and Hydraulics Laboratory
Evaluation of Lock Manifolds • Hydraulic design of navigation locks depends on knowledge of the performance of particular components. • Performance measures are often times quantified with coefficients such as discharge coefficient or energy loss coefficient. • Lock components are such things as manifolds, gates, and valves. • Manifolds vary in function from intakes to filling and emptying manifolds to outlets.
Filling and Emptying Manifolds In-Chamber Longitudinal Culvert System Side-Port System
Common Manifolds Culvert Locations for the Side-Port and ILCS Filling and Emptying Systems
Computational Model of Cannelton Lock – Ohio River Physical and Numerical Models
ILCS Single PortLaboratory Tests Port A Port B
ILCS Single PortComputational Model Computational Model Simulated what was previously Tested in a Physical Model
Single Port Computational Model Computational Mesh Velocity Contours
ILCS Port Single Port Loss Coefficients: Numerical and Laboratory Model Results • Turbulence Models: • k-e and k-w results compared well with lab data • k-erealizable gave loss coefficients that were an order of magnitude higher than lab data
Physical Model Manifold Data Lock 25 Wall Manifold (Left Wall) 1/8 in. diameter pitot tube (Dwyer Instruments model 166)
Loss Through PortCulvert Velocity Head Lock 25 Single Port Loss Across the PortCulvert Velocity Head Loss Through PortPort Velocity Head
Conclusions • Loss coefficients can be determined using detailed 3D computational models. • Calculation of flow in lock manifolds using energy equations relies on accurate loss coefficient data. • Problem is very nonlinear because the coefficients are dependent on an unknown variable, velocity (which is nonlinear). • Understanding of effective use of 3D computational models is on-going