Observation-driven punching simulation using inverse identification of quasi-nonparametric ductile fracture locus

Key Points

• Punching simulation effectively identifies the ductile fracture locus, enhancing material performance in mechanical applications.
• Observed metrics reveal a strong correlation in fracture behavior under simulated conditions, with measures indicating improved accuracy.
• Analysis uses an observation-driven modeling technique to perform inverse identification of quasi-nonparametric ductile fracture characteristics.
• Significance highlights potential advancements in understanding and predicting material failure, calling for further experimental validation.