4. Model A results#

4.1. Tested values#

Identification

Reference

Tolerance

DXsur node \(P\) to \(t\mathrm{=}\mathrm{0,4186}\)

-1.000000

2.5% (relative)

DZsur node \(P\) to \(t\mathrm{=}\mathrm{0,4186}\)

-1.000000

0.05% (relative)

DXsur node \(P\) to \(t\mathrm{=}\mathrm{0,8372}\)

-2.000000

0.01% (relative)

DZsur node \(P\) to \(t\mathrm{=}\mathrm{0,8372}\)

0.000000

7.0E-4% (absolute)

DXsur node \(P\) to \(t\mathrm{=}\mathrm{1,2558}\)

-1.000000

7.5% (relative)

DZsur node \(P\) to \(t\mathrm{=}\mathrm{1,2558}\)

-1.000000

0.3% (relative)

DXsur node \(P\) to \(t\mathrm{=}\mathrm{1,6744}\)

0.000000

1.0E-6% (absolute)

DZsur node \(P\) to \(t\mathrm{=}\mathrm{1,6744}\)

0.000000

1.5E-3% (absolute)

The parameters of the result data structure are also tested:

Identification

Reference

Tolerance

INSTpour NUME_ORDRE =10

0.418600

0.10%

ITER_GLOB for NUME_ORDRE =10

9.000000

0.00%

INSTpour NUME_ORDRE =15

0.837200

0.10%

ITER_GLOB for NUME_ORDRE =15

5.000000

0.00%

INSTpour NUME_ORDRE =19

1.674400

0.10%

ITER_GLOB for NUME_ORDRE =19

6.000000

0.00%

4.2. notes#

  • The time integration is done by the method of NEWMARK (trapezium rule),

  • At each time step, convergence is achieved in less than 9 iterations.