3. Modeling A#

3.1. Characteristics of modeling#

50 increments of the same size are used to calculate the different time intervals \((\mathrm{0,}\mathrm{10000s})\), \((\mathrm{0s},\mathrm{200s})\), \((\mathrm{0s},\mathrm{2000s})\), and \((\mathrm{0s},\mathrm{1000s})\). This is for reasons of time CPU. (\(\mathrm{2200s}\) with 50 increments). The results are therefore far from the reference, and the values provided are non-regression values.

3.2. Characteristics of the mesh#

Number of knots: 4

Number of meshes and types: 1 (QUAD4).

3.3. Tested sizes and results#

Parameters identified: (non-regression values):

Keyword CIN2_CHAB

Identified value

Aster

\(\text{\%}\) difference

R0

5.3955

5.3955

0

R_I

124.5167

124.5167

0

B

0.0936

0.0936

0

K

10.1492

10.1492

0

W

0.1524

0.1524

0

G1_0

530.2700

530.2700

0

C1_I

1065.5520

1065.5520

0

C2_I

276.1403

276.1403

0

A_I

1.2069

1.2069

0

Keyword LEMAITRE

UN_SUR_K

0.003643

0.003643

0

EXP_N

14.5181

14.5181

0

The curves obtained with the optimal parameters are as follows:

_images/10000000000002D600000206ECC5063BB90E0734.jpg