TY - GEN
T1 - A multiscale framework for the prediction of concrete self-desiccation
AU - Pathirage, M.
AU - Bentz, D. P.
AU - Di Luzio, G.
AU - Masoero, E.
AU - Cusatis, G.
N1 - Funding Information:
The work of the first and last authors was sponsored by the U.S. Army Engineer Research and Development Center (ERDC) under Contract Number W912HZ-17-C-0027. Permission to publish was granted by the director of the ERDC Geotechnical and Structures Laboratory.
Publisher Copyright:
© 2018 Taylor & Francis Group, London.
PY - 2018
Y1 - 2018
N2 - Cement hydration in concrete and mortar has been studied thoroughly over the past 50 years. To fully understand hydration in concrete and predict the evolution of the hygral, thermal, and mechanical properties at the structural level, one needs to studynot only the reaction kinetics but also the development of the microstructure. Many models have been developed for this purpose, some of them looking only at the micro-scale or at the macro-scale and others tackling the fundamental nature of the issue, which can be qualified as a multiscale problem. This paper proposes a novel approach that consists of combining a cement hydration model at the microstructural level, the CEMHYD3D model, with a macroscopic hygro-thermo-chemical model, the HTC model. The coupling is performed by post-processing the output of the CEMHYD3D model, in particular with reference to cement hydration degree, silica fume reaction degree, and amounts of evaporable water and chemically bound water in order to identify through a curve fitting routine the parameters of the HTC formulation. This approach allows the possibility of predicting concrete behavior at multiple scales based on the actual chemical and microstructural evolution, thus enhancing the capabilities of the so-called HTC-CEMHYD3D model. This paper focuses on 1) introducing the concepts behind the formulation of self-desiccation and 2) demonstrating the predictive capabilities of the coupled model using some available experimental data.
AB - Cement hydration in concrete and mortar has been studied thoroughly over the past 50 years. To fully understand hydration in concrete and predict the evolution of the hygral, thermal, and mechanical properties at the structural level, one needs to studynot only the reaction kinetics but also the development of the microstructure. Many models have been developed for this purpose, some of them looking only at the micro-scale or at the macro-scale and others tackling the fundamental nature of the issue, which can be qualified as a multiscale problem. This paper proposes a novel approach that consists of combining a cement hydration model at the microstructural level, the CEMHYD3D model, with a macroscopic hygro-thermo-chemical model, the HTC model. The coupling is performed by post-processing the output of the CEMHYD3D model, in particular with reference to cement hydration degree, silica fume reaction degree, and amounts of evaporable water and chemically bound water in order to identify through a curve fitting routine the parameters of the HTC formulation. This approach allows the possibility of predicting concrete behavior at multiple scales based on the actual chemical and microstructural evolution, thus enhancing the capabilities of the so-called HTC-CEMHYD3D model. This paper focuses on 1) introducing the concepts behind the formulation of self-desiccation and 2) demonstrating the predictive capabilities of the coupled model using some available experimental data.
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U2 - 10.1201/9781315182964-25
DO - 10.1201/9781315182964-25
M3 - Conference contribution
AN - SCOPUS:85061216393
SN - 9781138741171
T3 - Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018
SP - 203
EP - 208
BT - Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018
A2 - Pichler, Bernhard
A2 - Rots, Jan G.
A2 - Meschke, Günther
PB - CRC Press/Balkema
T2 - Conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018
Y2 - 26 February 2018 through 1 March 2018
ER -