Semantic segmentation of the micro-structure of strain-hardening cement-based composites (SHCC) by applying deep learning on micro-computed tomography scans-Reference-Cited by-同舟云学术

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

Published:2020-04 Issue: Volume:108 Page:103551
ISSN:0958-9465
Container-title:Cement and Concrete Composites
language:en
Short-container-title:Cement and Concrete Composites

Author:

Lorenzoni Renata,Curosu Iurie^ORCID,Paciornik Sidnei,Mechtcherine Viktor,Oppermann Martin,Silva Flavio

Funder

CNPq

CAPES

FAPERJ

German Academic Exchange Service

German Research Foundation

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction

Reference57 articles.

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3. Novel cement-based composites for the strengthening and repair of concrete structures;Mechtcherine;Construct. Build. Mater.,2013

4. Effect of fiber properties and matrix composition on the tensile behavior of strain-hardening cement-based composites (SHCCs) subject to impact loading;Curosu;Cement Concr. Res.,2016

5. Recent progress on HPFRCC in Japan required performance and applications;Minoru;J. Adv. Concr. Technol.,2006

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