Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete-Reference-Cited by-同舟云学术

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

Published:2022-08 Issue: Volume:271 Page:108624
ISSN:0013-7944
Container-title:Engineering Fracture Mechanics
language:en
Short-container-title:Engineering Fracture Mechanics

Author:

Chang Ze,Wan Zhi,Xu Yading,Schlangen Erik,Šavija Branko

Funder

China Scholarship Council

European Research Council

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference48 articles.

1. Mechtcherine, From analytical methods to numerical simulations: A process engineering toolbox for 3D concrete printing;Perrot;Cem Concr Compos,2021

2. A process classification framework for defining and describing Digital Fabrication with Concrete;Buswell;Cem Concr Res,2020

3. Effects of layer-interface properties on mechanical performance of concrete elements produced by extrusion-based 3D-printing;Nerella;Constr Build Mater,2019

4. Hardened properties of 3D printed concrete: The influence of process parameters on interlayer adhesion;Wolfs;Cem Concr Res,2019

5. Effect of curing conditions during a long-time gap on the interlayer bonding of 3D printed cementitious materials;Chen;Constr Build Mater,2022

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