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A Multiscale Framework for the Prediction of Concrete Self-Desiccation

Published

Author(s)

Madura Pathirage, Dale P. Bentz, Giovanni Di Luzio, Enrico Masoero, Gianluca Cusatis

Abstract

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 study not only the reactions 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 multi-scale problem. This paper proposes a novel approach which consists in 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, amount of evaporable water and chemically bound water in order to identify through a curve fitting routine the parameters of the HTC forumulation. This approach allows the possibility of predicting concrete behavior at multiple scales based on the actual chemical and microstructural evolution, and 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.
Proceedings Title
EURO-C 2018 Conference - Computational Modelling of Concrete and Concrete Structures
Conference Dates
February 26-March 1, 2018
Conference Location
Bad Hofgastein, AT

Citation

Pathirage, M. , Bentz, D. , Di Luzio, G. , Masoero, E. and Cusatis, G. (2018), A Multiscale Framework for the Prediction of Concrete Self-Desiccation, EURO-C 2018 Conference - Computational Modelling of Concrete and Concrete Structures, Bad Hofgastein, AT, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=924695 (Accessed May 21, 2024)

Issues

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Created February 28, 2018, Updated October 12, 2021