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Semantic segmentation of the micro-structure of strain-hardening cement-based composites (SHCC) by applying deep learning on micro-computer tomography scans

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

Renata Lorenzoni - , Pontifícia Universidade Católica do Rio de Janeiro (First author)
Iurie Curosu - , Chair of Construction Materials (Author)
Sidnei Paciornik - (Author)
Viktor Mechtcherine - , Chair of Construction Materials (Author)
Martin Oppermann - , Centre for Microtechnical Manufacturing, Chair of Electronic Packaging Technology (Author)
Flavio Silva - , Pontifícia Universidade Católica do Rio de Janeiro (Author)

Details

Original language	English
Article number	103551
Journal	Cement and Concrete Composites
Volume	108
Publication status	Published - 2020
Peer-reviewed	Yes

External IDs

Scopus	85078888594

Keywords

Research priority areas of TU Dresden

Materials Science and Engineering - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)

DFG Classification of Subject Areas according to Review Boards

Construction Material Sciences, Chemistry, Building Physics - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)

Subject groups, research areas, subject areas according to Destatis

Building Materials Technology - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)

Sustainable Development Goals

SDG 9 - Industry, Innovation, and Infrastructure - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)
SDG 11 - Sustainable Cities and Communities - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)

ASJC Scopus subject areas

Building and Construction - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)
General Materials Science - Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)

Keywords

Segmentation, microstructure, deep learning, reconstruction, X-ray computed tomography, strain-hardening cement-based composites (SHCC)