A multiscaling model of cracking is developed whereby a closed form solution is obtained for the description of microscopic material damage corresponding to different constraints of the micro-crack. Coupling between the damage at the macro- and micro-scale is made via the mesoscopic zone to smooth out the transition. The range of each scale can be controlled to permit the application of equilibrium mechanics. In principle, the procedure can be applied to simulate the behavior of a non-equilibrium process by a series of segmented equilibrium processes. It is rarely possible to obtain closed form solution for multiscale damage models. Exception is found for the present model of macro-meso-micro damage by cracking under anti-plane shear deformation. Accuracies in numerical computations are thus reduced to the evaluation of algebraic equations. Examined, in particular, are the inhomogenities at the microscale arising from uneven stiffness of the material microstructures which can vary the constraints on the micro-crack. These geometrically created inhomogeneities are simulated by the free–free, fixed–fixed and free–fixed boundary conditions. The encouraging aspect of this work is that the results for anti-plane are found to be similar to those for in-plane extension. This suggests further exploration of the procedure where scale segmentation can indeed be reduced to any size at will, in the limit approaching zero. This would in principle correspond to the non-equilibrium process. Keeping in mind that the present modeling process involves segmentation and connection, the latter requires a scale invariant criterion. To this end, the volume energy density function is used with a length parameter or an area parameter so that the product can cross scale. The details of this procedure would be beyond the scope of this discussion. Nevertheless, ample evidence will be shown in the work to follow that the volume energy density function is fundamental not only to the scale shifting process but also in the ways how microscopic constraints can influence macroscopic behavior.