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I.K. Marchevsky, V.V. Puzikova

30

ISSN 1812-3368. Вестник МГТУ им. Н.Э. Баумана. Сер. Естественные науки. 2017. № 5

Flow simulation at low Reynolds numbers

(

3

Re <10

)

.

The LS-STAG method

allows to receive the results are in good agreement with the experimental and

computational data, even on very coarse meshes (Table 3). No turbulence models

have been used.

Table 3

Comparison of

D

C

and St at

Re =100

and

Re = 200

with known experimental

and numerical results from the literature

Source

Re 100

=

Re 200

=

D

C

St

D

C

St

Zdravkovich [10] (experiment)

1.21…1.41

0.16…0.17

LS-STAG (present study,

120 148)

1.31

0.17

1.33

0.20

LS-STAG (present study,

240 204)

1.32

0.17

1.33

0.20

LS-STAG (present study,

480 408)

1.32

0.17

1.33

0.20

Cheny [2] (LS-STAG,

550 350)

1.32

0.17

1.33

0.20

Henderson [11]

1.35

0.16

1.34

0.20

He [12]

1.35

0.17

1.36

0.20

Flow simulation at medium Reynolds numbers

(

3

4

Re =10 10

)

.

The flow was

simulated at the Reynolds numbers

Re =1000

(on non-uniform meshes 120 148

with

2

=5 10

t

 

and 240 296

with

3

=10

t

) and

Re = 3900

(on non-uniform meshes

120 148

with

3

=10

t

and 240 296

with

4

= 5 10

t

 

). These values of the

Re

were

chosen because the experimental data [10, 11] and results of other researchers [14–17] are

known for them. Computational results are shown in Table 4 and in Fig. 5. These results

are in good agreement with experimental data for simulation on coarse meshes by using

the proposed modification of the LS-STAG method. But since the considered models

works well only at high Reynolds numbers, it is hardly possible to improve the numerical

results, for example, by mesh refinement. In our opinion the wall functions usage can be

an efficient solution to this problem.

Table 4

Comparison of

D

C

and

St

values with known experimental and numerical results

Turbulence model

Number

of cells

Re 1000

=

Re 3900

=

D

C

St

D

C

St

Experiment [10]

0.98

0.21

0.93

0.22

Experiment [13]

1.12

1.01

Smag., LES,

C

S

= 0.1 [14]

1 103 520

1.08

Smag., LES,

C

S

= 0.1 (spectral) [15]

30 720

1.01

0.22

Smag., LES,

C

S

= 0.1 (finite volume) [15]

855 040

1.07

0.24

 

,

k

RANS [16]

46 304

1.00

0.15

1.00

0.15

Real

 

,

k

RANS [16]

46 304

0.17

0.20

k

 

SST, RANS [16]

46 304

0.23

0.25

 

,

k

RANS [17], ANSYS

388 550

1.12

0.74

k

 

SST, RANS [17], ANSYS

388 550

0.99

0.62