Rearrange documentation of notch approximation classes

Signed-off-by: Benjamin Maier <[email protected]>
boschresearch · Oct 10, 2023 · e196deb · e196deb
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commit e196deb
Showing 1 changed file with 11 additions and 2 deletions.
diff --git a/docs/materiallaws/notch_approximation_laws.rst b/docs/materiallaws/notch_approximation_laws.rst
@@ -1,5 +1,14 @@
-The notch approximation law classes ̀ `ExtendedNeuber``, ``SeegerBeste``, and ``Binned``
-==========================================================================================
+The notch approximation law classes
+======================================
+
+The following classes are available: ̀ `ExtendedNeuber``, ``SeegerBeste``, and ``Binned``.
+
+The ``ExtendedNeuber`` and ``SeegerBeste`` classes implement the respective notch approximations.
+
+The ``Binned`` class implements binning to a predefined number of bins.
+It contains an object of either ``ExtendedNeuber`` or ``SeegerBeste``.
+The respective stress and strain values from the notch approximation for equi-spaced load values get precomputed and stored in a lookup table.
+This speeds up the computation as only the initialization step is compute intense.
 
 .. autoclass:: pylife.materiallaws.notch_approximation_law.ExtendedNeuber
 	:undoc-members: