3. Modeling A#

3.1. Characteristics of modeling#

Model A is modelled using elements DIS_T

3.2. Characteristics of the mesh#

Number of knots: 2

Number of meshes: 3 DIS_T to model the mass (M_T_D_N), the stiffness (K_T_D_L) and the shock absorber (A_T_D_L)

3.3. Results#

The vertical response spectrum obtained using the macro-command CALC_SPECTRE_IPM from the vertical acceleration of the node N 02 is compared to that obtained using the model B. We are in a case with relative coordinate resolution (single-press loading).

A check of the pseudo_acceleration values is performed for several acceleration values.

_images/10000201000002BD000002228E99DDFCE10047AB.png

Node

Frequency

Reference

Reference Type

Tolerance

N02

5

0.425896

“AUTRE_ASTER”

3%

N02

10

1.44050

“AUTRE_ASTER”

3%

N02

15

1.93754

“AUTRE_ASTER”

0.1%

N02

20

3.39816

“AUTRE_ASTER”

0, 5%

N02

25

1.46011

“AUTRE_ASTER”

1%

N02

30

1.08058

“AUTRE_ASTER”

1.1%

N02

35

1.00117

“AUTRE_ASTER”

0, 9%

N02

40

0.929183

“AUTRE_ASTER”

0, 3%

N02

45

0.871687

“AUTRE_ASTER”

1%

N02

50

0.833936

“AUTRE_ASTER”

1, 9%

The treatment of the case is also validated in absolute reference, by comparison with the result in relation to a zero training signal.

Finally, we validate the initial correction (CORR_INIT =” OUI “) for which a non-zero initial acceleration is required. To do this, we will shift the training signal slightly in time: \(f(t)=\mathrm{sin}(2\mathrm{\pi }20.(t+0.00001))\). The answer obtained will therefore remain very close to the initial calculation without this delay.