pihnn.graphics.plot_dem#

pihnn.graphics.plot_dem(model, crack, tip, max_distance, n_points=100, figsize=None, format='png', dir='results/', markersize=2)#

Calculate and plot stress intensity factors (SIFs) from displacement extrapolation method (DEM).

Parameters:

  • model (pihnn.nn.PIHNN/pihnn.nn.DD_PIHNN) – Neural network model, the function is meaningful only if model.PDE is either ‘km’ or ‘km-so’.

  • crack (class:pihnn.geometries.crack_line) – Curve corresponding to the crack to analyse.

  • tip (class:pihnn.geometries.crack_tip) – Crack tip associated to the SIF.

  • max_distance (float) – Maximum distance from the crack tip to consider in the DEM regression.

  • n_points (int) – Number of points to consider in the DEM regression.

  • figsize (tuple of float) – Size of the matplotlib.pyplot.figure.

  • format (str) – Format of the saved figure.

  • dir (str) – Directory where to save the figure.

  • markersize (float) – Size of the marker that is used to plot a point.

Returns:

  • sif_I_ext (float) - Evaluation of the extrapolated \(K_I\) stress intensity factor.

  • sif_II_ext (float) - Evaluation of the extrapolated \(K_{II}\) stress intensity factor.