EVALUATION OF ULTIMATE CAPACITY OF RC BOX SHEAR WALL BY NONLINEAR 3-D FINITE ELEMENT DYNAMIC ANALYSIS
نویسندگان
چکیده
منابع مشابه
Dynamic analysis of squat shear wall using nonlinear finite element method
Shear wall has been considered as a major lateral load-resisting element in multistoried building located in windor earthquake-prone zone. The behavior of shear wall under various loading conditions has been the subject of intense research for the last few decades. The behavior of shear walls without openings is completely well understood and well documented in literature. The use of squat shea...
متن کاملStrut-and-Tie Method for Prediction of Ultimate Shear Capacity of Shear-Strengthened RC deep beams with FRP
The main objective of this study is to propose the Strut-and-Tie method (STM) to predict the shear capacity of simply supported RC deep beams shear-strengthened with carbon fiber reinforced polymers (CFRP). It is assumed that, the total carried shear force by shear-strengthened RC deep beam provided by three independent resistance, namely diagonal concrete strut due to Strut-and-tie mechanism, ...
متن کاملFinite Element Analysis of Reinforced RC Bracket Using CFRP Plates
CFRP composites have unique application qualities such as high resistance and durability to environmental conditions, having relatively low weight and easy to install in strengthening concrete structure elements. The brackets should be strengthen sufficiently if they are not calculated and implemented well. Application of the CFRP is one of the methods for such purposes. The study involves usin...
متن کاملEvaluation of Ultimate Torsional Strength of Reinforcement Concrete Beams Using Finite Element Analysis and Artificial Neural Network
Due to lack of theory of elasticity, estimation of ultimate torsional strength of reinforcement concrete beams is a difficult task. Therefore, the finite element methods could be applied for determination of strength of concrete beams. Furthermore, for complicated, highly nonlinear and ambiguous status, artificial neural networks are appropriate tools for prediction of behavior of such states. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Structural and Construction Engineering (Transactions of AIJ)
سال: 2007
ISSN: 1340-4202,1881-8153
DOI: 10.3130/aijs.72.147_1