نوع مقاله : یادداشت فنی
نویسندگان
1 دانشکده مهندسی عمران و نقشه برداری، دانشگاه صنعتی خواجه نصیرالدین طوسی
2 دانشکده مهندسی عمران و نقشه برداری،دانشگاه صنعتی خواجه نصیرالدین طوسی
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The numerous collapse of reinforced concrete (RC) buildings reported during destructive earthquakes, happening around the world, are pertaining to short column failure. Shear collapse mode is the most devastating causes of failure in short RC columns due to intensive seismic cyclic loads. Since the code-based design equation for estimating the strength of these structural elements is basically based on pragmatic models, they cannot appropriately estimate the resistance over a wide range of involved variables. Evaluating collapse capacity of these structural elements has been an attractive topic of research for the last few decades. The major goal of this paper is to propose a model for shear strength of beam-column with shear span-to- depth ratio less than 2.5. To complete few available experimental samples, the purposed ABAQUS general finite-element method software is used to model 52 numerical samples to cover a wide range of various parameters involved in shear resistance. According to the performed experimental works, the effective shear strength parameters are axial force, transverse and longitudinal reinforcement, column aspect ratio, concrete compressive strength, and ductility. The finite-element models are validated against experimental data. To develop a closed form solution for evaluating shear strength, Genetic Programing (GP) is used. GP is an automated method for creating a working computer program from a high-level problem statement of a problem. GP starts from a high-level statement and automatically creates a computer program to solve the problem. This method is successfully used in various fields, including symbolic regression, image processing, network protocol design, patching buggy codes and robot control.The proposed GP model is compared against shear strength provided by the existing relations of two major codes, e.g., ACI and EC2. Compared with experimental results, the average errors from the application of GP, ACI and EC2 are \%15, \%45, and \%43, respectively. This shows that the proposed equation using GP is a precise relationship for the prediction of the shear capacity of rectangular short RC columns.
کلیدواژهها [English]
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