Model A results
==============================


Tested values
---------------


.. csv-table::

    "**Identification**", "**Reference**", "**Tolerance**"
    "DXsur node :math:`P` to :math:`t\mathrm{=}\mathrm{0,4186}` ", "-1.000000", "2.5% (relative)"
    "DZsur node :math:`P` to :math:`t\mathrm{=}\mathrm{0,4186}` ", "-1.000000", "0.05% (relative)"
    "DXsur node :math:`P` to :math:`t\mathrm{=}\mathrm{0,8372}` ", "-2.000000", "0.01% (relative)"
    "DZsur node :math:`P` to :math:`t\mathrm{=}\mathrm{0,8372}` ", "0.000000", "7.0E-4% (absolute)"
    "DXsur node :math:`P` to :math:`t\mathrm{=}\mathrm{1,2558}` ", "-1.000000", "7.5% (relative)"
    "DZsur node :math:`P` to :math:`t\mathrm{=}\mathrm{1,2558}` ", "-1.000000", "0.3% (relative)"
    "DXsur node :math:`P` to :math:`t\mathrm{=}\mathrm{1,6744}` ", "0.000000", "1.0E-6% (absolute)"
    "DZsur node :math:`P` to :math:`t\mathrm{=}\mathrm{1,6744}` ", "0.000000", "1.5E-3% (absolute)"


The parameters of the result data structure are also tested:


.. csv-table::

    "**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%"



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.