Numerical Simulation of Positive Surge Moving Upstream
289
Fig. 3 Experimental setup in the experimental flume
In each case, initial steady state conditions were produced by running the flow
for specified duration till steady state conditions are reached. Subsequently, transient
conditions were produced by closing the downstream gate suddenly, and the data
logger activated for measuring the transient pressure variation at each of the gauges.
The reading of pressure sensors was recorded with the help of bench link data
acquisition unit. These readings (recorded in millivolts) were converted to depth with
help of the respective calibration equations of the pressure sensors. Water depth in
channel was measured with point gauge having accuracy ±1 mm.
5 Simulation and Results
Experimental results are compared with results obtained from the FORTRAN code
for McCormack scheme. From the experiments, water pressures are obtained at
the different locations of sensors with respect to time. Simulation is carried out
between water depth variation with respect to time at different location of pressure
sensors. Water depth variation with respect to longitudinal distance and water velocity
variation with respect to longitudinal distance is also obtained from MacCormack
Numerical scheme and plotted the same.
289
Fig. 3 Experimental setup in the experimental flume
In each case, initial steady state conditions were produced by running the flow
for specified duration till steady state conditions are reached. Subsequently, transient
conditions were produced by closing the downstream gate suddenly, and the data
logger activated for measuring the transient pressure variation at each of the gauges.
The reading of pressure sensors was recorded with the help of bench link data
acquisition unit. These readings (recorded in millivolts) were converted to depth with
help of the respective calibration equations of the pressure sensors. Water depth in
channel was measured with point gauge having accuracy ±1 mm.
5 Simulation and Results
Experimental results are compared with results obtained from the FORTRAN code
for McCormack scheme. From the experiments, water pressures are obtained at
the different locations of sensors with respect to time. Simulation is carried out
between water depth variation with respect to time at different location of pressure
sensors. Water depth variation with respect to longitudinal distance and water velocity
variation with respect to longitudinal distance is also obtained from MacCormack
Numerical scheme and plotted the same.