Agent‐based modeling of super‐long‐term maintenance processes for RC building groups: Stochastic study of risks of building groups by super‐long‐term combined deterioration Part 2

In this paper, we analyze the corrosion of reinforcements as indices of processes of the super‐long‐term combined deterioration of reinforced concrete building groups with finishing materials, pre‐induced cracks, and maintenance. Specifically, we systemize specifications for finishing materials by permeability, deterioration mechanisms, and demeanor after repairs, and adopt agent‐based modeling for decision‐making of specifications for structures, finishing materials, and repair methods whose characteristics are based on generic products. We calculate the corrosion of reinforcements in general parts by Yonezawa's method and in cracks by the corrosion speed of bare steel, and assume minimum corrosion amounts required to initiate new cracks by Morinaga's method in consideration of corrosion amounts to fill up voids around reinforcements. We analyze the deterioration processes of building groups by using three scenarios with several histories of preferences of building owners based on ISO 19208. It is confirmed that the averages of acceleration‐period arrival rates in the group vary in line with the characteristics of each scenario and are lower than the repair limits for each preference and half of the 3% upper‐confidence limits. Although this method is embryonic, we quantitatively and theoretically demonstrate the super‐long‐term combined deterioration processes of the building group. In this paper, we analyze cracks of concrete resulting from the corrosion of reinforcements as indices of processes of the super‐long‐term combined deterioration of RC building groups with finishing materials, pre‐induced cracks and maintenance. We systemize specifications for the finishing materials by deterioration mechanisms and adopt agent‐based modeling for decision‐making of the specifications for the structures, the finishing materials and the repair methods. We have analyzed the deterioration processes of a building group by three scenarios with several histories of preferences of building owners based on ISO19208 and have shown the processes quantitatively and theoretically.