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March 3, 2026
Observation-driven punching simulation using inverse identification of quasi-nonparametric ductile fracture locus
JE
Jin Eguchi
Tottori University
TM
Takashi Matsuno
Tottori University
YK
Yasuhiro Kunii
Tottori University
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Puntos clave
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.
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Observation-driven punching simulation using inverse identification of quasi-nonparametric ductile fracture locus | Synapse
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Eguchi et al. (Wed,) studied this question.
synapsesocial.com/papers/69a760d2c6e9836116a2dee1
https://doi.org/https://doi.org/10.1016/j.jmatprotec.2026.119243