This article presents a new computational approach for supporting the desig
n of structural concrete. The main purpose of this research is to facilitat
e construction, interpretation, and revision of the analysis model through
(I) highly automated mesh generation, (2) discrete modeling of the material
components and cracking, (3) dependence on basic material parameters, and
(4) graphic rendering of the response quantities, most notably crack locati
ons and widths. Concrete material is represented by a rigid-body-spring net
work whose geometry is defined by a Voronoi diagram on randomly distributed
points. Random geometry of the network reduces mesh bins on potential crac
king directions. Concrete cracking is modeled using an energetic fracture m
echanics approach that is objective with respect to network component densi
ty and random geometry. Reinforcing material may assume any piecewise linea
r trajectory and is positioned irrespective of the spring network defining
the concrete material. Viability of the approach is demonstrated through el
astic stress analyses and ultimate failure analyses of T-shape bridge piers
subjected to eccentric loading.