3. Modeling A#

3.1. Characteristics of the mesh#

_images/Shape1.gif _images/10000000000000F1000002654BF746E9EE107C4F.png

Number of knots: 149

Number of meshes and types: 40 elements QUAD8

3.2. Tested sizes and results#

Identification of a \(m\) common to the three experimental bases and a \({\sigma }_{u}\) per base.

Temperature \([°C]\)

Reference

Calculated values

MAXI_VRAI

REGR_LINE

\(m\)

\({\sigma }_{u}\) \([\mathrm{MPa}]\)

\(m\)

\({\sigma }_{u}\) \([\mathit{MPa}]\)

\(m\)

\({\sigma }_{u}\) \([\mathit{MPa}]\)

—50

24

2800

26.7

2536

16.1

4983

—100

24

2700

26.7

2428

16.1

4642

—150

24

2600

26.7

2372

16.1

4555

3.3. notes#

Using the maximum likelihood method, although the difference between the values of (\(m\), \({\sigma }_{u}\)) obtained with RECA_WEIBULL and their reference values remains not negligible, it is in accordance with the result sought considering the relatively small number of samples used for the calibration (15 per temperature). To obtain the reference values it would be necessary to considerably increase the number of samples per temperature (\(N>1000\)). However, the difference observed remains reasonable (of the order of 10%). In addition, the growth of \({\sigma }_{u}\) as a function of temperature is respected.

With the linear regression method, the difference is greater.