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October 19, 2025Open Access

Inference of phase field fracture models

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Approach develops model selection for crack propagation dynamics in materials, suggesting improvements.

The methodology shows how to select optimal models for phase field fracture using full-field data.
Central findings reveal that synthetic data facilitates understanding of crack propagation and damage evolution.
The method builds upon variational system identification to address data sparsity and noise issues in fracture modeling.
A range of material failures, including ductile and cohesive fractures, can be better modeled through systematic identification.

Livingston et al. (2025) studied this question.

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October 19, 2025Open Access

View Full Paper

Ask AI

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Authors

Approach develops model selection for crack propagation dynamics in materials, suggesting improvements.

The methodology shows how to select optimal models for phase field fracture using full-field data.
Central findings reveal that synthetic data facilitates understanding of crack propagation and damage evolution.
The method builds upon variational system identification to address data sparsity and noise issues in fracture modeling.
A range of material failures, including ductile and cohesive fractures, can be better modeled through systematic identification.

Livingston et al. (2025) studied this question.

View Full Paper

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Bookmark