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:
