Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/32962
Title: Predicting the shear capacity of reinforced concrete slender beams without stirrups by applying artificial intelligence algorithms
Authors: Spijkerman, Zelda 
Bakas, Nikolaos P. 
Markou, George 
Papadrakakis, Manolis 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Shear Strength Prediction;Artificial Intelligence Algorithms;Design Formulae;Finite Element Method;Reinforced Concrete
Issue Date: 1-Jan-2021
Source: 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
Conference: International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering 
Abstract: This paper focusses on the ongoing discussion of developing a single relationship that can accurately predict the shear capacity of slender, reinforced concrete (RC) beams without stirrups. To date, the main approach used to predict the shear capacity of RC beams, has been based on the derivation of a formula from experimental data. In this study, the approach uses the development of RC FEM models without stirrups, where the beam width is larger or equal to the section height and tested under three-point bending. The models were created and analysed by using Reconan FEA software, where the obtained results from the nonlinear analyses were used to construct a large database of 10,000 beams with varying material and geometric properties. Artificial Intelligence (AI) training was performed by using machine learning algorithms on the numerically generated database to develop predictive models and to develop an improved formula for predicting the shear capacity of RC beams without stirrups. The proposed predictive formula was validated against an available ACI database of RC beams that were assembled by using experimentally tested, physical beams without stirrups. The predictive formula was also compared with the design code formulae proposed by ACI 318-19 and Eurocode 2. According to the numerical findings of this research work, the proposed formula outperformed both design formulae demonstrating significant potential in replacing the current design approach.
URI: https://hdl.handle.net/20.500.14279/32962
ISSN: 26233347
Type: Conference Papers
Affiliation : University of Pretoria 
The Cyprus Institute 
National Technical University Of Athens 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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