Evaluation of Seismic Damage indexes in Concrete Frames and Introducing a New damage index for Detection of Damaged stories

Studying the undamaged structure that can identify the stories with the greatest potential for damage in the event of an earthquake, can be a great help in reducing the damage caused by the earthquake. for this purpose , the damage to the story should be determined based on the information obtained from the structure and the calculation of damage indexes . In this paper, several Rc moment frames in the IDARC program are modeled and the Pushover analysis is performed on them. Based on the results of this analysis, 5 damage scenarios were selected. In order to monitor the models' damage in these scenarios, in a part of the study, the total damage of the structure was estimated using Park &Ang Damage Index, Rafael and meyer index and Drift index and the relationship between the indexes was presented. At the Story scale, the affected Stories were detected and the results compared. Subsequently, the affected stories were identified using Story-scale damage indexes and the results were compared. Pearson's statistical criterion was used to investigate the correlation between the damage data of the beams and columns of the floors as well as the drift criterion. Based on the modal information, a new damage index called MMFDI was developed and its accuracy was compared with the other modal indexes on the studied models. Studies have shown that story drift is a reliable index for identifying damaged stories in a building and is very well matched with the results of park&ang beam damage index. The results also showed that with the help of modal indexes, the damaged stories can be accurately identified, and the new index developed in this paper can increase the accuracy of detection the probable damaged stories by using more sensitive parameters.