SEISMIC RESPONSE OR MULTI-STORY UNBALANCED R/C DUAL BUILDINGS. I: CONCEPT OF DUCTILITY DEMAND
سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,249
فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
SEE06_212
تاریخ نمایه سازی: 16 اردیبهشت 1390
چکیده مقاله:
In this study, to determine the effect of different source of eccentricities on the ductility demand distribution of asymmetric RC dual lateral load resistant multi-story buildings, two types of eccentric plan asymmetric models were developed. Since rigorous modeling of inelastic behavior of RC structural members was used, the stiffness distributions of the models are assumed to be related to the strength distribution. This modeling approach is more accurate for multi-story dual lateral load resistant structures, as it adjusts the stiffness of the structural elements based on their strength at each time step. The concept of stiffness eccentricity is modified and used to evaluate the torsional responses of the models. The torsional responses of models including the ductility demands for both stiff and flexible edges elements are normalized to the corresponding values of the symmetric models. It is concluded that using longer shear walls in the flexible edges would impose very large ductility demands as the wall yield displacement is lower and the wall experiences the higher ultimate displacements. Therefore the substantial differences in ductility demands between flexible and stiff edges suggest a need for reassessment of the pertinent code provisions. Also, the distribution of the normalized ductilitydemands along the height of structures is used to assess the torsional effects in multi-story structures.
کلیدواژه ها:
نویسندگان
a.m Halabian
Department of Civil Engineering Isfahan university of technology, Isfahan, Iran
m.s Birzhandi
Department of Civil Engineering Isfahan university of technology, Isfahan, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :