Providing resiliency pattern inconstruction industry implementingbuilding information model

In this research, field studies have been used in the field of statistical modeling and building information modeling. Grouping, the study of surplus indicators from 64 primary indicators was performed through a factor analysis model based on the principal component analysis (PCA). The extracted components were grouped in the form of 6 phases and 46 sub-criteria. Then using the Delphi model, the resilience capacity of each resilience index of the construction industry was investigated. The results showed that in all six phases defined in the comprehensive resilience model, the absorption capacity has a high participation rate. On the other hand, the matching capacity in the end-of-life management phase, the maintenance phase, the operational phase in the time and phase of the initial studies, and the In particular, the restoration capacity according to the results in all phases, except for the phase of the initial studies, shows an acceptable percentage of participation. In the sequel, one of the most important goals of the research, namely the operation of the resilience indicators or the key factors of success, is to be prioritized. One The most powerful key factors of success in resilience, information modeling Building (BIM) was investigated. According to the study of studies in new structures, the construction of the phase of the phase, except for the operational phase (operation section), due to the type of indicators in this phase, BIM is a suitable process for improving performance. Regarding existing structures, the management phase of the construction, the structural part, the construction phase, the architectural part, the maintenance phase, and the management phase of the end of the project life are good, and in the remaining phase of the existing structures, the role of the BIM is dimmer.