Dataset Information

Knowledge extraction and transfer in data-driven fracture mechanics.

ABSTRACT: Data-driven approaches promise to usher in a new phase of development in fracture mechanics, but very little is currently known about how data-driven knowledge extraction and transfer can be accomplished in this field. As in many other fields, data scarcity presents a major challenge for knowledge extraction, and knowledge transfer among different fracture problems remains largely unexplored. Here, a data-driven framework for knowledge extraction with rigorous metrics for accuracy assessments is proposed and demonstrated through a nontrivial linear elastic fracture mechanics problem encountered in small-scale toughness measurements. It is shown that a tailored active learning method enables accurate knowledge extraction even in a data-limited regime. The viability of knowledge transfer is demonstrated through mining the hidden connection between the selected three-dimensional benchmark problem and a well-established auxiliary two-dimensional problem. The combination of data-driven knowledge extraction and transfer is expected to have transformative impact in this field over the coming decades.

SUBMITTER: Liu X

PROVIDER: S-EPMC8201806 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Publications

Knowledge extraction and transfer in data-driven fracture mechanics.

Liu Xing X Athanasiou Christos E CE Padture Nitin P NP Sheldon Brian W BW Gao Huajian H

Proceedings of the National Academy of Sciences of the United States of America 20210601 23

Data-driven approaches promise to usher in a new phase of development in fracture mechanics, but very little is currently known about how data-driven knowledge extraction and transfer can be accomplished in this field. As in many other fields, data scarcity presents a major challenge for knowledge extraction, and knowledge transfer among different fracture problems remains largely unexplored. Here, a data-driven framework for knowledge extraction with rigorous metrics for accuracy assessments is ...[more]

PMID: 34083445

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Dataset Information

Knowledge extraction and transfer in data-driven fracture mechanics.

Publications

Knowledge extraction and transfer in data-driven fracture mechanics.

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