SummaryA multiscale model for saturated porous media is proposed, based on the concept of representative volume element (RVE). The physics between macro and microâscales is linked in terms of virtual power measures given by the general theory of poromechanics. Then, applying the soâcalled Principle of Multiscale Virtual Power, together with suitable admissible constraints on microâscale displacement and pore pressure fields, a wellâestablished variational framework is obtained. This setting allows deriving the weak form of microâscale balance equations as well as the homogenization rules for the macroâscale stressâlike variables and body forces. Whenever the microâscale mechanical constitutive functionals admit, as input arguments, the fullâorder expansion of the microâscale pore pressure field, a size effect is inherited on the macroâscale material response. The current literature attributes this issue to the soâcalled âdynamicalâ or âsecondâorderâ term of the homogenized flux velocity. It has been commonly suggested that the influence of this term is negligible by assuming infinitely small microâscale dimensions. However, such an idea compromises the fundamental notion of the existence of RVE for highly heterogeneous media. In this work, we show that the microâscale size dependence can be consistently eliminated by a simple constitutiveâlike assumption. Accordingly, slight and selective redefinitions in the input arguments of microâscale material laws are proposed, leading to a constitutive formulation that allows the combination of microâscale variables with different orders of expansion. Just at this specific (constitutive) level, a reducedâorder expansion is selectively adopted for the microâscale pore pressure field. Thus, the RVE notion is restored while still retaining the major effects of the âdynamicalâ component of the homogenized flux velocity. The proposed formulation is implemented within a finite element squared (FE) environment. Some numerical experiments are presented showing the viability of the methodology, including comparisons against analytical, monoâscale and DNS solutions.