Skip to main content

Table 1 Computational details about the high-fidelity model and the model order reduction

From: Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes

Problem number

1

2

3

4

Space dimension

2D

2D

2D

3D

IGA space dimension \((\mathcal {N}_v, \mathcal {N}_p)\)

(2178, 1024)

(2592, 1225)

(2178, 1024)

(6591, 343)

Number of geometrical parameters

2 rotations

2 rotations

4 rotations

4 = 2 rotations+ outflow variation (length and width)

Geometrical parameters range

\([-75 ^\circ , 75 ^\circ ]^2\)

\([-75 ^\circ , 75 ^\circ ]^2\)

\([-45 ^\circ , 45 ^\circ ]^4\)

\([-75 ^\circ , 75 ^\circ ]^2 \times [0,2]^2\)

Number of IGA control points

1089

1296

1089

2197

Number of FFD control points

10

10

20

40

EIM tolerance

\(10^{-3}\)

\(10^{-3}\)

\(10^{-3}\)

\(10^{-3}\)

EIM terms \(Q_K + Q_B + Q_f\)

27 + 14 + 0

89 + 22 + 0

50 + 22 + 0

104 + 44 + 0

Number of snapshots

500

500

500

500

POD tolerance I(N)

\(10^{-3}\)

\(10^{-2}\)

\(10^{-2}\)

\(2*10^{-2}\)

POD space dimension \((N_{\mathbf {u},\mathbf {s}}, N_p)\)

(20, 10)

(20, 10)

(20, 10)

(40, 20)

HF evaluation time

1.5 s

6.1 s

1.5 s

27 s

POD offline construction time

250 s

2344 s

250 s

12325 s

POD evaluation time

0.07 s

0.08 s

0.08 s

0.11 s

Computational speedup POD

20

76

18

245