Catastrophic collapse such as those of the Alfred P. Murrah Federal Building in 1995 and the World Trade Center towers on 11 September 2001 have exposed the vulnerability of our societies to the problem of disproportionate progressive collapse. Such a structural-level problem indicates a situation where a triggering local failure provokes a chain reaction of failures, which results in the collapse of the entire structure or a large part of it, which is disproportionate to the triggering action.
Despite extensive research works on mechanism interpretation as well as quantification of progressive collapse resisting mechanisms in reinforced concrete structures, recent works mainly tried to either improve and generalize previous analytical approaches or to investigate such a beneficial collapse resisting mechanism using numerical approaches in a deterministic sense. However, a reliable robustness evaluation of structures subjected to extreme loading scenarios is a function of uncertainty propagation in the ultimate load-bearing capacity of structural components. This research aims to prepare a basis for probabilistic model quality for the problem of progressive collapse analysis in reinforced concrete structures, where the ultimate load-bearing capacity of structural components as well as the force-redistribution mechanism are considered as primary objects.