A realistic and computationally efficient method to model fluid adsorption
in disordered mesoporous glasses is described. Local mean-field theory of a
lattice model of adsorption is combined with the representations of the di
sordered matrix configurations generated by Gaussian random fields. The exp
erimental structure factor and porosity of the glass serve as input. The me
thod allows for an efficient route to perform disorder averages for large s
ystems. The adsorption and hysteresis behaviors obtained agree closely with
those observed experimentally.