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Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete

Crossref DOI link: https://doi.org/10.1016/j.engfracmech.2022.108624

Published Print: 2022-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Chang, Ze

Wan, Zhi

Xu, Yading

Schlangen, Erik

Šavija, Branko
Funding

Funding for this research was provided by:

China Scholarship Council (201806060129)

China Scholarship Council (201906220205)

European Research Council (101041342)

European Research Council
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Text and Data Mining valid from 2022-08-01

Text and Data Mining valid from 2022-08-01

Version of Record valid from 2022-06-15
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This article is maintained by: Elsevier

Article Title: Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete

Journal Title: Engineering Fracture Mechanics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.engfracmech.2022.108624

Content Type: article

Copyright: © 2022 The Author(s). Published by Elsevier Ltd.