article · Pollack Periodica · 2025
Numerical investigation of semi-rigid beam-to-column bolted angle connection
Cited by 0Open access
Abstract
Abstract The three-dimensional finite element model was developed to analyze semi-rigid beam-to-column connections, considering factors like bolt pretension and the contact between various surfaces. Experimental data validates the model, revealing strong correlations in load displacement and moment rotation characteristics. A parametric study involving seventy-five models explores the influence of various geometric parameters, particularly beam size, on connection performance. The main results show that for the same beam size, increasing the thickness of the flange angle makes it stronger against moments but less able to rotate. On the other hand, larger flange gages make the initial stiffness lower and the final rotation higher. Additionally, thicker web angles improve ultimate moment capacity but also limit rotation.
Cite this paper
Ali, A. A. (2025). Numerical investigation of semi-rigid beam-to-column bolted angle connection. Pollack Periodica, 20(3), 16–23. https://doi.org/10.1556/606.2025.01297
Ali, Ahmed Ajel. “Numerical investigation of semi-rigid beam-to-column bolted angle connection.” Pollack Periodica, vol. 20, no. 3, 2025, pp. 16–23, https://doi.org/10.1556/606.2025.01297.
Ali, Ahmed Ajel. 2025. “Numerical investigation of semi-rigid beam-to-column bolted angle connection.” Pollack Periodica 20 (3): 16–23. https://doi.org/10.1556/606.2025.01297.
Ali, A.A. (2025) ‘Numerical investigation of semi-rigid beam-to-column bolted angle connection’, Pollack Periodica, 20(3), pp. 16–23. Available at: https://doi.org/10.1556/606.2025.01297.
@article{ali2025numerical,
title = {{Numerical investigation of semi-rigid beam-to-column bolted angle connection}},
author = {Ali, Ahmed Ajel},
journal = {Pollack Periodica},
volume = {20},
number = {3},
pages = {16--23},
year = {2025},
doi = {10.1556/606.2025.01297}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.