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Advances in Civil Engineering
Volume 2017, Article ID 1912724, 19 pages
Research Article

An Analytical Method for Determining the Load Distribution of Single-Column Multibolt Connection

Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand

Correspondence should be addressed to Kitjapat Phuvoravan;

Received 23 March 2017; Accepted 28 May 2017; Published 6 July 2017

Academic Editor: Dimitris Rizos

Copyright © 2017 Nirut Konkong and Kitjapat Phuvoravan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The purpose of this research was to investigate the effect of geometric variables on the bolt load distributions of a cold-formed steel bolt connection. The study was conducted using an experimental test, finite element analysis, and an analytical method. The experimental study was performed using single-lap shear testing of a concentrically loaded bolt connection fabricated from G550 cold-formed steel. Finite element analysis with shell elements was used to model the cold-formed steel plate while solid elements were used to model the bolt fastener for the purpose of studying the structural behavior of the bolt connections. Material nonlinearities, contact problems, and a geometric nonlinearity procedure were used to predict the failure behavior of the bolt connections. The analytical method was generated using the spring model. The bolt-plate interaction stiffness was newly proposed which was verified by the experiment and finite element model. It was applied to examine the effect of geometric variables on the single-column multibolt connection. The effects were studied of varying bolt diameter, plate thickness, and the plate thickness ratio () on the bolt load distribution. The results of the parametric study showed that the ratio controlled the efficiency of the bolt load distribution more than the other parameters studied.