TY - JOUR

T1 - A multiscale framework to estimate water sorption isotherms for OPC-based materials

AU - Babaei, Saeid

AU - Seetharam, Suresh

AU - Muehlich, Uwe

AU - Dizier, Arnaud

AU - Steenackers, Gunther

AU - Craeye, Bart

N1 - Score=10

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This paper presents a new multiscale framework to estimate water sorption isotherms (WSI) for ordinary Portland cement (OPC) based materials. This is achieved by integrating: (i) particle packing, (ii) cement hydration kinetics, and (iii) pore network models. The first two models provide pore size distribution for gel and capillary pores. The pore network model takes these as inputs to construct an idealized network of pores connected by so called throats. By invoking appropriate thermodynamic equilibrium laws for the adsorbed and capillary water locally and using an existing percolation algorithm, WSI are estimated via a series of steady-state analysis. A notable feature of the proposed framework is that there is only one geometrical calibration parameter needed in the pore network model, excluding calibration inherent in the cement hydration kinetics model. The capability of the framework is demonstrated by comparing the model predictions with eleven independent experimentally determined WSI, in particular, desorption isotherms. It is shown that the model is able to estimate WSI with coefficient of determination (R2) value being 0.85 or above for all the cases.

AB - This paper presents a new multiscale framework to estimate water sorption isotherms (WSI) for ordinary Portland cement (OPC) based materials. This is achieved by integrating: (i) particle packing, (ii) cement hydration kinetics, and (iii) pore network models. The first two models provide pore size distribution for gel and capillary pores. The pore network model takes these as inputs to construct an idealized network of pores connected by so called throats. By invoking appropriate thermodynamic equilibrium laws for the adsorbed and capillary water locally and using an existing percolation algorithm, WSI are estimated via a series of steady-state analysis. A notable feature of the proposed framework is that there is only one geometrical calibration parameter needed in the pore network model, excluding calibration inherent in the cement hydration kinetics model. The capability of the framework is demonstrated by comparing the model predictions with eleven independent experimentally determined WSI, in particular, desorption isotherms. It is shown that the model is able to estimate WSI with coefficient of determination (R2) value being 0.85 or above for all the cases.

KW - Cement hydration

KW - Particle packing

KW - Pore network

KW - Multiscale

KW - Concrete

KW - Water sorption isotherm

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/36754934

U2 - 10.1016/j.cemconcomp.2019.103415

DO - 10.1016/j.cemconcomp.2019.103415

M3 - Article

SN - 0958-9465

VL - 105

SP - 1

EP - 13

JO - Cement and Concrete Composites

JF - Cement and Concrete Composites

M1 - 103415

ER -