[IMPL] Equivalent stress amplitude functions #60

Activity

1. Vybornak2

   assigned

   KarasTomas

   on Mar 4, 2026
2. Vybornak2

   added the

   Feature

   issue type on Mar 4, 2026
3. Vybornak2 commented on Mar 20, 2026

   

   Vybornak2

   on Mar 20, 2026

   Last edited by Vybornak2

   CollaboratorAuthor

   More actions

   @KarasTomas

   After a discussion with @MartinNesladek we decided that mean stress corrections should include negative mean stress handling. Look at the following code. This should be implemented to all mean stress functions. For more information please consult with @MartinNesladek. Thank you

   import numpy as np
   from numpy.typing import ArrayLike, NDArray
   
   
   def _calc_eq_amp_stress(
       mean_stress: ArrayLike,
       stress_amp: ArrayLike,
       some_param: float,
   ) -> NDArray[np.float64]:
       pass
   
   
   def calc_eq_amp_stress(
       mean_stress: ArrayLike,
       stress_amp: ArrayLike,
       some_param: float,
       allow_neg_mean_stress: bool = True,
   ) -> NDArray[np.float64]:
       """Calculate the equivalent stress based on mean stress and amplitude stress.
   
       Args:
           mean_stress (ArrayLike): The mean stress values.
           stress_amp (ArrayLike): The amplitude stress values.
           some_param (float): Description of some_param.
           allow_neg_mean_stress (bool, optional): A flag to control the calculation method. Defaults to True.
   
       Returns:
           NDArray[np.float64]: The calculated equivalent amplitude stress values.
   
       """
       mean_stress = np.asarray(mean_stress, dtype=np.float64)
       stress_amp = np.asarray(stress_amp, dtype=np.float64)
       some_param = float(some_param)
   
       eq_amp_stress = _calc_eq_amp_stress(mean_stress, stress_amp, some_param)
   
       if not allow_neg_mean_stress:
           eq_amp_stress = np.where(mean_stress < 0, stress_amp, eq_amp_stress)
   
       return eq_amp_stress
   
4. Vybornak2

   closed this as completedon Mar 20, 2026
5. Vybornak2

   reopened this on Mar 20, 2026
6. Vybornak2 commented on Mar 20, 2026

   

   Vybornak2

   on Mar 20, 2026

   Last edited by Vybornak2

   CollaboratorAuthor

   More actions

   @JanHPapuga
   I would like to ask you for feedback of usecase applicability for the Meanstress corrections, so we ship meaningful documentation along with functions.

   One or two sentences per mean stress correction function should be ideal.

   Here is a list of criterions
   original paper

   In addition I think that @KarasTomas has implemented some based on MartinNesladek Lectures.
   @KarasTomas Please fill in here list of criterions that we need documentation for. Thank you.
7. KarasTomas commented on Mar 20, 2026

   

   KarasTomas

   on Mar 20, 2026

   Collaborator

   More actions

   @JanHPapuga I would like to ask you for feedback of usecase applicability for the Meanstress corrections, so we ship meaningful documentation along with functions.

   One or two sentences per mean stress correction function should be ideal.

   Here is a list of criterions original paper

   In addition I think that @KarasTomas has implemented some based on MartinNesladek Lectures. @KarasTomas Please fill in here list of criterions that we need documentation for. Thank you.

   List of implemented functions:

   • ASME
   • Bagci
   • Gerber
   • Goodman
   • Half-Slope
   • Linear
   • Morrow
   • Soderberg
   • Smith
   • SWT
   • Walker

   If there is another function that would fit the scope of this issue feel free to mention them with some reference/description. I can add them to PR #55 before we merge it.
8. Vybornak2 commented on Mar 25, 2026

   

   Vybornak2

   on Mar 25, 2026

   CollaboratorAuthor

   More actions

   @KarasTomas
   According to @MartinNesladek it is not simply possible to summarize use-case / meaning of the mean stress correction methods further than describing mathematical formulation, therefore it can be ommited.