Parisa TOOFANI MOVAGHAR - M.Sc. Student, K.N. Toosi University of Technology, Tehran, Iran
Behrouz ASGARIAN - Professor, K.N. Toosi University of Technology, Tehran, Iran

The extent of damage after major earthquakes and a significant increase in the demand of organizational, social and structural recovery result in a new design method. For this reason, resilience-based design (RBD) as an advanced form of performance-based design (PBD) has been proposed. This method mostly concentrates on the factors such as recovery time of buildings aftershock, direct and indirect losses, life safety and social preparedness. In this methodology, recovery time is the most difficult parameter to obtain because there are a lot of uncertainties which affect downtime (Serban, 2015). Cimellareo (2008) firstly suggested the analytical recovery functions in his thesis which were related to the community preparedness. For instance, a city with a high intelligent society, good infrastructures, and the cautiousness has shorter recovery time in comparison with other societies. To do so, choosing a recovery function should be done accurately to make it compatible with the type of the society. Three common recovery functions in an engineering manner are linear, exponential and trigonometric which are shown in Equations 1 to 3 (Cimellareo, 2008).

Resilience, Recovery time, IDA, Fragility curves, Steel moment resisting frames