How can we insert a normal stress result, get the maximum value and find which nodes have the max stress value?
One can make use of the PlotData property from the result plot to loop through the data table and find the nodes that have the maximum stress value. Below is a script example:
# Create Normal Stress Plot model = ExtAPI.DataModel.Project.Model solution = model.Analyses[0].Solution new_stress = solution.AddNormalStress() new_stress.EvaluateAllResults() max_stress = new_stress.Maximum # Extract data from plot plot_data = new_stress.PlotData nodes = plot_data ['Node'] result_value = plot_data ['Values'] # Handle unit conversion import units currentLengthUnit=ExtAPI.DataModel.CurrentUnitFromQuantityName('Stress') scale_factor=units.ConvertUnit(1.,currentLengthUnit,result_value.Unit) for index in range(len(nodes)): if result_value[index] == max_stress.Value*scale_factor: print(nodes[index])