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 -