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Assessing Hydrated Cement Paste Properties Using Experimentally Informed Discrete Models. / Šavija, Branko; Zhang, Hongzhi; Schlangen, E.

In: Journal of Materials in Civil Engineering, Vol. 31, No. 9, 04019169, 2019.

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@article{674e2825715e4fccb2e3836835fb4107,
title = "Assessing Hydrated Cement Paste Properties Using Experimentally Informed Discrete Models",
abstract = "Properties of concrete are, to a large extent, dependent on the properties of its binding constituent, hydrated cement paste. Therefore, knowledge of properties of hydrated cement paste is crucial for predicting concrete behavior. This paper presents an experimentally informed approach for modeling elastic and transport properties of cement paste. The models used realistic microstructural information—obtained by X-ray computed tomography—as input for property determination. The properties were then determined using discrete numerical models, namely, models based on a lattice approach. Modeling results were compared with literature data, showing excellent correlations. Furthermore, dependence of properties of cement paste on the total porosity, based on the modeling results, was explored. Finally, a correlation between elastic and transport properties for the explored range of portland cement pastes was established. It is seen that the models can be used for property prediction, but also for exploring correlations between different parameters.",
keywords = "Cement paste, Chloride diffusion, Lattice model, X-ray computed tomography, Young's modulus",
author = "Branko Šavija and Hongzhi Zhang and E. Schlangen",
year = "2019",
doi = "10.1061/(ASCE)MT.1943-5533.0002772",
language = "English",
volume = "31",
journal = "Journal of Materials in Civil Engineering",
issn = "0899-1561",
publisher = "American Society of Civil Engineers (ASCE)",
number = "9",

}

RIS

TY - JOUR

T1 - Assessing Hydrated Cement Paste Properties Using Experimentally Informed Discrete Models

AU - Šavija, Branko

AU - Zhang, Hongzhi

AU - Schlangen, E.

PY - 2019

Y1 - 2019

N2 - Properties of concrete are, to a large extent, dependent on the properties of its binding constituent, hydrated cement paste. Therefore, knowledge of properties of hydrated cement paste is crucial for predicting concrete behavior. This paper presents an experimentally informed approach for modeling elastic and transport properties of cement paste. The models used realistic microstructural information—obtained by X-ray computed tomography—as input for property determination. The properties were then determined using discrete numerical models, namely, models based on a lattice approach. Modeling results were compared with literature data, showing excellent correlations. Furthermore, dependence of properties of cement paste on the total porosity, based on the modeling results, was explored. Finally, a correlation between elastic and transport properties for the explored range of portland cement pastes was established. It is seen that the models can be used for property prediction, but also for exploring correlations between different parameters.

AB - Properties of concrete are, to a large extent, dependent on the properties of its binding constituent, hydrated cement paste. Therefore, knowledge of properties of hydrated cement paste is crucial for predicting concrete behavior. This paper presents an experimentally informed approach for modeling elastic and transport properties of cement paste. The models used realistic microstructural information—obtained by X-ray computed tomography—as input for property determination. The properties were then determined using discrete numerical models, namely, models based on a lattice approach. Modeling results were compared with literature data, showing excellent correlations. Furthermore, dependence of properties of cement paste on the total porosity, based on the modeling results, was explored. Finally, a correlation between elastic and transport properties for the explored range of portland cement pastes was established. It is seen that the models can be used for property prediction, but also for exploring correlations between different parameters.

KW - Cement paste

KW - Chloride diffusion

KW - Lattice model

KW - X-ray computed tomography

KW - Young's modulus

UR - http://www.scopus.com/inward/record.url?scp=85067447542&partnerID=8YFLogxK

U2 - 10.1061/(ASCE)MT.1943-5533.0002772

DO - 10.1061/(ASCE)MT.1943-5533.0002772

M3 - Article

VL - 31

JO - Journal of Materials in Civil Engineering

T2 - Journal of Materials in Civil Engineering

JF - Journal of Materials in Civil Engineering

SN - 0899-1561

IS - 9

M1 - 04019169

ER -

ID: 54657955