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Structural Engineering and Mechanics
  Volume 72, Number 3, November10 2019 , pages 383-393
DOI: https://doi.org/10.12989/sem.2019.72.3.383
 


Experimental and numerical investigation of reinforced concrete beams containing vertical openings
Jafarali Parol, Ammar Ben-Nakhi, Shaikha Al-Sanad, Jamal Al-Qazweeni, Hamad J. Al-Duaij and Hasan Kamal

 
Abstract
    Horizontal openings in reinforced concrete (RC) beams are quite often used to accommodate service pipelines. Several research papers are available in the literature describing their effect. RC beams with vertical openings are commonly used to accommodate service lines in residential buildings in Kuwait. However, there are lack of design guidelines and best practices reported in the literature for RC beams with vertical openings, whereas the detailed guidelines are available for beams with horizontal openings. In the present paper, laboratory experiments are conducted on nine RC beams with and without vertical openings. Parametric study has been carried out using nonlinear finite element analysis (FEA) with changes in the diameter of the opening, various positions of the opening along the length and width of the beam, edge distance, etc. 50 finite element simulations were conducted. The FEA results are verified using the results from the laboratory experiments. The study showed that the load carrying capacity of the beam is reduced by 20% for the RC beam with vertical openings placed near the center of the beam compared to a solid beam without an opening. Significant reduction in load carrying capacity is observed for beams with an opening near the support (≈15%). The overall stiffness of the beam, crack pattern and failure modes were not affected due to the presence of the vertical opening. Furthermore, an artificial neural network (ANN) analysis is carried out using the FEA generated data. The results and observations from the ANN and FEA are in good agreement with experimental results.
 
Key Words
    reinforced concrete beam, vertical opening, finite element analysis, artificial neural network
 
Address
Jafarali Parol, Shaikha Al-Sanad, Jamal Al-Qazweeni,
Hamad J. Al-Duaij and Hasan Kamal: Kuwait Institute for Scientific Research, Kuwait
Ammar Ben-Nakhi: Kuwait University, Kuwait
 

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