Hassanzadeh, Seyed Ali, Ashrafi, Hamid Reza, Komasi, Mehdi. (1402). Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls. هنرهای کاربردی, 11(2), 64-93. doi: 10.22075/jrce.2022.24267.1539
Seyed Ali Hassanzadeh; Hamid Reza Ashrafi; Mehdi Komasi. "Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls". هنرهای کاربردی, 11, 2, 1402, 64-93. doi: 10.22075/jrce.2022.24267.1539
Hassanzadeh, Seyed Ali, Ashrafi, Hamid Reza, Komasi, Mehdi. (1402). 'Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls', هنرهای کاربردی, 11(2), pp. 64-93. doi: 10.22075/jrce.2022.24267.1539
Hassanzadeh, Seyed Ali, Ashrafi, Hamid Reza, Komasi, Mehdi. Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls. هنرهای کاربردی, 1402; 11(2): 64-93. doi: 10.22075/jrce.2022.24267.1539

Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls

Journal of Rehabilitation in Civil Engineering
مقاله 5، دوره 11، شماره 2 - شماره پیاپی 30، تابستان 2023، صفحه 64-93    اصل مقاله (2.71 M)
نوع مقاله: Regular Paper
شناسه دیجیتال (DOI): 10.22075/jrce.2022.24267.1539
نویسندگان
Seyed Ali Hassanzadeh1؛ Hamid Reza Ashrafi2؛ Mehdi Komasi* 3
1Teacher at Building Cluster, Ministry of Education, Lorestan, Iran
2Assistant Professor, Department of Civil Engineering, Razi University, Kermanshah, Iran
3Associate Professor, Department of Civil Engineering, Ayatollah Ozma Borujerdi University, Borujerd, Iran
چکیده
In this study, the effect of importance factor (IF) on RC frames with and without infill walls, in both with and without opening conditions, is evaluated against progressive collapse. For this purpose, RC building with the intermediate moment frame system for three levels of importance factor that these levels are intermediate, high, and very high IF is designed. OpenSees program is utilized for modeling RC frames. For this aim, the accuracy of modeling of column removal and infill walls are compared with experimental researches. In the present study, nonlinear dynamic analysis (NDA) and push-down analysis (PDA) were used for evaluating RC frames against progressive collapse in each column removal scenario. Analysis results showed that the effect of the importance factors in NDA and PDA are reduced to less than 24% and 13% when the infill walls are modeled in the frames. In the frame without infill walls, the influence of the importance factor is increased up to 36.1%. Also, in this study, it was found that the role of importance factors depends on the place of the removed column, which the effect of middle column removal is relatively twice than the corner column removal due to more redundancy. Other results about infill walls effects and opening in infill walls are presented in the paper. Finally, a proposed approach for column removal in NDA via OpenSees program is introduced, and its high accuracy is shown. This developed algorithm can remove any element of structure in different time intervals.

تازه های تحقیق
  • Influence of different levels of importance factor in progressive collapse.
  • Effect of infill walls with and without opening against column removal scenarios.
  • Real behavior and capacity of RC frames for each column removal scenario.
  • Column removal scenario and infillwall modeling is validated versus other researches.
  • Proposing a new method for progressive collapse via APM in OpenSees program.
کلیدواژه‌ها
Element removal؛ Importance factor؛ Nonlinear dynamic analysis؛ Pushdown analysis؛ OpenSees
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