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گواهی نمایه سازی مقاله Effect of Load Pattern on Pushover Analysis in Irregular RC Frame

عنوان مقاله: Effect of Load Pattern on Pushover Analysis in Irregular RC Frame
شناسه (COI) مقاله: NCUD04_325
منتشر شده در اولین همایش بین المللی و چهارمین همایش ملی عمران شهری در سال ۱۳۹۲
مشخصات نویسندگان مقاله:

Shahab Abbasi - Department of Civil Engineering, Shoushtsar Branch, Islamic Azad University, Shoushtar, Iran
A H Akhaveissy - Department of Civil Engineering, Faculty Engineering, Razi University, P.O. Box 67149-67346,Kermanshah, Iran
Mohammad Shekarchi Zadeh - Construction Materials Institute, Department of Civil Engineering, University of Tehran, Tehran, Iran

خلاصه مقاله:
Recently, attention has been paid to the performance-based seismic design that requires designing the building for several expected performance levels. This is achievable through a design procedure based on the inelastic responses. In order to estimate the inelastic seismic responses of a building, the pushover analysis is used. In pushover analysis selecting a particular lateral load pattern, which affects the resulting capacity curve, is so important. Therefore, the selection of a reasonable lateral load pattern is particularly important in pushover analysis. The aim of this study is to analyze the effect of lateral load patterns on the seismic performance Reinforced Concrete (RC) frame buildings. The RC frame buildings, which consist of 6 stories with irregular shape, are designed according to Iranian code 2800-V3. The lateral load patterns for pushover analysis are selected as equivalent lateral load based on 2800 and IBC, uniform perFEMA-273 and SRSS distribution per IS-1893. Pushover analysis has been performed according to FEMA-356 and ATC-40 guidelines. The effect of the selected lateral load patterns on the seismic responses of the RC frame buildings is illustrated. In particular, the top displacement of the building, the base shear, and the performance point of structure are analyzed

کلمات کلیدی:
Irregular RC frame, Load pattern, Pushover analysis, Performancepoint

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