Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

Nonlinear Modeling of Beam-Column Joints using Artificial Neural Networks

SUWAL, NIRMALA
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1691003362444753

Abstract Details

2023, Master of Science, University of Toledo, Civil Engineering.
Beam-column joints play a critical role in transferring forces between beam and column elements and maintaining structural integrity during severe loading. While the nonlinear behaviors of beams and columns are commonly modelled in global frame analyses through the use of plastic hinges, the behavior of joints through the use of rigid end offsets is often omitted. The objective of this study is to develop an artificial neural network and derive the plastic hinge curves required for modeling beam-column joints in global frame analyses. As the first step, a feed-forward artificial neural network (FFNN) is developed to predict the shear strengths of beam-column joints. A comprehensive dataset of 598 experimental joint specimens is compiled from 153 previously published research studies. The 555 data points which passed the exploratory data analysis are used to train, test, and validate the proposed network for applicability to a wide range of input variables and joint configurations. The accuracy and reliability of the proposed FFNN were evaluated using a comprehensive set of evaluation metrics in comparison with three existing networks from the literature. The network predicted shear strength is used to derive shear stress-strain and moment-rotation curves for joint hinges. A spreadsheet tool is developed to execute the network formulations, calculate joint shear strength, and derive joint hinge curves for practical use by engineers and researchers.
Serhan Guner (Committee Chair)
Luis Alexander Mata (Committee Member)
Douglas Karl Nims (Committee Member)
122 p.
Civil Engineering
artificial neural networks, beam-column joints, bond slip, global frame analysis, joint spring, lumped plasticity, moment-rotation, plastic hinge, shear strength, shear stress-strain

Recommended Citations

Citations

  • SUWAL, N. (2023). Nonlinear Modeling of Beam-Column Joints using Artificial Neural Networks [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1691003362444753

    APA Style (7th edition)

  • SUWAL, NIRMALA. Nonlinear Modeling of Beam-Column Joints using Artificial Neural Networks . 2023. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1691003362444753.

    MLA Style (8th edition)

  • SUWAL, NIRMALA. "Nonlinear Modeling of Beam-Column Joints using Artificial Neural Networks ." Master's thesis, University of Toledo, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1691003362444753

    Chicago Manual of Style (17th edition)

toledo1691003362444753
72
© 2023, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.