Performance of fiber beam–column elements in the cyclic analysis of composite shear wall
Publish place: international conference on civil engineering, architecture and Urban Sustainable Development
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
View: 685
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICCAU01_3040
تاریخ نمایه سازی: 29 تیر 1393
Abstract:
The use of common reinforced concrete shear walls in high rise buildings is sometimes limited because of the large amount of reinforcement localized at the end ofthe element. A good alternative solution in avoiding this disadvantage is to use composite steel reinforced concrete shear walls (CSRCW) with steel encased profiles. This solutionused for high rise buildings, offers to designers lateral stiffness, shear capacity and high bending resisting moment of the structural walls with even better behavior in cyclic loads like earthquake loading. This study consist of numerical analysis of 1:3 scale ofcomposite shear wall elements. The aim of this study is to introduce a time-saving and precise method, called fiber element method, for analyzing the walls and to verify thenonlinear behavior of a kind of CSRCWs with three different steel shape encased profiles and a common type of CSRW, then comparing them with each other. To establish the accuracy of the analytical model and experimental results for load-displacement,hysteretic responses are studied for cyclic loading. The OpenSees software is used for modelling the discussed shear walls.
Keywords:
Authors
a.h Akhaveissy
Assistant Professor, Dept. of Civil Eng., Faculty Eng., RaziUniversity, P.O.Box۶۷۱۴۴-۱۴۸۹۱,Kermanshah, Iran
b Abdollahi
M.S. Student, Dept. of Civil Eng., Faculty Eng., RaziUniversity, Kermanshah,Iran
k Daneshvar
M.S. Student, Dept. of Civil Eng., Faculty Eng., RaziUniversity, Kermanshah,Iran
s Rezvan
M.S. Student, Dept. of Civil Eng., Faculty Eng., RaziUniversity, Kermanshah, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper 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 Paper لینک شده اند :