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  4. Prediction of autogenous shrinkage of cement pastes as poro-visco-elastic deformation
 
research article

Prediction of autogenous shrinkage of cement pastes as poro-visco-elastic deformation

Hu, Zhangli
•
Wyrzykowski, Mateusz
•
Scrivener, Karen  
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December 1, 2019
Cement and Concrete Research

Precise and robust predictions of autogenous shrinkage of high performance concrete are essential to limit self-induced stresses and cracking in modern concrete structures. This paper presents predictions of autogenous shrinkage for three cement pastes of different compositions by considering first only the poro-elastic deformation and then including also the poro-visco-elastic response. This study used experimentally-determined parameters for the material properties of both the elastic and the visco-elastic components, which ensured the reliability of the calculations. The prediction of the poro-visco-elastic response of the material to the internal stress was performed using a generalized Kelvin-Voigt model that also considered aging. It is found that, while the poro-elastic calculations systematically underestimates the measured shrinkage, predictions with the inclusion of the viscous response overestimates the shrinkage.

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Type
research article
DOI
10.1016/j.cemconres.2019.105917
Web of Science ID

WOS:000500373200007

Author(s)
Hu, Zhangli
Wyrzykowski, Mateusz
Scrivener, Karen  
Lura, Pietro
Date Issued

2019-12-01

Publisher

Pergamon-Elsevier Science Ltd

Published in
Cement and Concrete Research
Volume

126

Article Number

105917

Subjects

Construction & Building Technology

•

Materials Science, Multidisciplinary

•

Construction & Building Technology

•

Materials Science

•

autogenous shrinkage

•

poro-visco-elastic response

•

poromechanics models

•

generalized kelvin-voigt model

•

parameters verification

•

c-s-h

•

relative-humidity

•

basic creep

•

concrete

•

model

•

pressure

•

powers

•

ratio

•

work

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMC  
Available on Infoscience
December 15, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164012
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