An Efficient Accurate Shock-capturing Scheme for Modeling Water Hammer Flows - Advances in Control and Automation of Water Systems - page 117

tABle 6.9 (Continued)

** Air valve at node J9 **

Time Volume Head Mass Air-Flow

(s) (m3) (m) (kg) (cms)

0.0000 .000 130.18 .0000 .000

4.9885 .000 129.75 .0000 .000

** Air valve at node J15 **

Time Volume Head Mass Air-Flow

(s) (m3) (m) (kg) (cms)

0.0000 .000 115.22 .0000 .000

4.9885 .000 121.75 .0000 .000

** Air valve at node J17 **

Time Volume Head Mass Air-Flow

(s) (m3) (m) (kg) (cms)

0.0000 .000 113.01 .0000 .000

4.9885 .000 133.60 .0000 .000

** Air valve at node J20 **

Time Volume Head Mass Air-Flow

(s) (m3) (m) (kg) (cms)

0.0000 .000 112.65 .0000 .000

4.9885 .000 118.03 .0000 .000

** Air valve at node J28 **

Time Volume Head Mass Air-Flow

(s) (m3) (m) (kg) (cms)

0.0000 .000 104.55 .0000 .000

4.9885 .000 105.10 .0000 .000

** Surge tank at node J4 **

Time Level Head Inflow Spll-Rate

(s) (m) (m) (cms) (cms)

0.0000 135.0 135.0 .000 .000

4.9885 135.0 135.0 .002 .000

6.3.2 comparison of Present research results with other expert's research
Comparison of present research results (water hammer software modeling and SPSS
modeling), with other expert's research results, shows similarity and advantages:

6.3.2.1 Wylie, E. B., and Streeter, V. L., 1982
Classical water hammer theory neglects convective terms, and assumes fluid wave
speed, c (m/s) is dependent on the support conditions of the pipes. Among these meth-
ods, MOC-based schemes are most popular because these schemes provide the desir-
able attributes of accuracy, numerical efficiency and programming simplicity. This
method has been used in present research [12].