Drop maximum_absolute_load parameter for FKM NK rainflow counter

Signed-off-by: Johannes Mueller <johannes.mueller4@de.bosch.com>

Author: johannes-mueller

src/pylife/strength/fkm_nonlinear/assessment_nonlinear_standard.py

@@ -213,17 +213,15 @@ def perform_fkm_nonlinear_assessment(assessment_parameters, load_sequence, calcu
     assessment_parameters, component_woehler_curve_P_RAM, component_woehler_curve_P_RAJ \
         = _compute_component_woehler_curves(assessment_parameters)
 
-    maximum_absolute_load = _get_maximum_absolute_load(assessment_parameters, scaled_load_sequence)
-
     result = {}
 
     # HCM rainflow counting and damage computation for P_RAM
     if calculate_P_RAM:
-        result = _compute_lifetimes_P_RAM(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAM, maximum_absolute_load)
+        result = _compute_lifetimes_P_RAM(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAM)
 
     # HCM rainflow counting and damage computation for P_RAJ
     if calculate_P_RAJ:
-        result = _compute_lifetimes_P_RAJ(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAJ, maximum_absolute_load)
+        result = _compute_lifetimes_P_RAJ(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAJ)
 
     # additional quantities
     result["assessment_parameters"] = assessment_parameters
@@ -389,7 +387,7 @@ def _compute_component_woehler_curves(assessment_parameters):
     return assessment_parameters, component_woehler_curve_P_RAM, component_woehler_curve_P_RAJ
 
 
-def _compute_hcm_RAM(assessment_parameters, scaled_load_sequence, maximum_absolute_):
+def _compute_hcm_RAM(assessment_parameters, scaled_load_sequence):
     """Perform the HCM rainflow counting with the extended Neuber notch approximation.
     The HCM algorithm is executed twice, as described in the FKM nonlinear guideline."""
 
@@ -479,7 +477,7 @@ def _store_additional_objects_in_result_RAM(result, recorder, damage_calculator,
     return result
 
 
-def _compute_hcm_RAJ(assessment_parameters, scaled_load_sequence, maximum_absolute_load):
+def _compute_hcm_RAJ(assessment_parameters, scaled_load_sequence):
     """Perform the HCM rainflow counting with the Seeger-Beste notch approximation.
     The HCM algorithm is executed twice, as described in the FKM nonlinear guideline."""
 
@@ -595,31 +593,15 @@ def _store_additional_objects_in_result_RAJ(result, recorder, damage_calculator,
     return result
 
 
-def _get_maximum_absolute_load(assessment_parameters, scaled_load_sequence):
-    """Compute the maximum absolute load, separately for every node (max_load_independently_for_nodes=True).
-    # The value is used to initialize the binning in the notch approximation schemes. Using 'True' yields smaller bin sizes
-    # and higher accuracy but takes longer runtime. Using 'False' generates only one lookup-table for the whole assessment, which is
-    # most accurate for the nodes with the highest loads.
-    """
-
-    if "max_load_independently_for_nodes" not in assessment_parameters:
-        assessment_parameters["max_load_independently_for_nodes"] = False
-
-    maximum_absolute_load = scaled_load_sequence.fkm_load_sequence.maximum_absolute_load(
-        max_load_independently_for_nodes=assessment_parameters.max_load_independently_for_nodes)
-
-    return maximum_absolute_load
-
-
-def _compute_lifetimes_P_RAJ(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAJ, maximum_absolute_load):
+def _compute_lifetimes_P_RAJ(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAJ):
     """Compute the lifetimes using the given parameters and woehler curve, with P_RAJ.
 
     * Execute the HCM algorithm to detect closed hysteresis.
     * Use the woehler curve and the damage parameter to predict lifetimes.
     * Do statistical assessment and store all results in a dict.
     """
 
-    detector_1st, detector, seeger_beste_binned, recorder = _compute_hcm_RAJ(assessment_parameters, scaled_load_sequence, maximum_absolute_load)
+    detector_1st, detector, seeger_beste_binned, recorder = _compute_hcm_RAJ(assessment_parameters, scaled_load_sequence)
 
     result, damage_calculator = _compute_damage_and_lifetimes_RAJ(assessment_parameters, recorder, component_woehler_curve_P_RAJ, result)
 
@@ -631,14 +613,14 @@ def _compute_lifetimes_P_RAJ(assessment_parameters, result, scaled_load_sequence
     return result
 
 
-def _compute_lifetimes_P_RAM(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAM, maximum_absolute_load):
+def _compute_lifetimes_P_RAM(assessment_parameters, result, scaled_load_sequence, component_woehler_curve_P_RAM):
     """Compute the lifetimes using the given parameters and woehler curve, with P_RAM.
 
     * Execute the HCM algorithm to detect closed hysteresis.
     * Use the woehler curve and the damage parameter to predict lifetimes.
     * Do statistical assessment and store all results in a dict.
     """
-    detector_1st, detector, extended_neuber_binned, recorder = _compute_hcm_RAM(assessment_parameters, scaled_load_sequence, maximum_absolute_load)
+    detector_1st, detector, extended_neuber_binned, recorder = _compute_hcm_RAM(assessment_parameters, scaled_load_sequence)
 
     result, damage_calculator = _compute_damage_and_lifetimes_RAM(assessment_parameters, recorder, component_woehler_curve_P_RAM, result)