The efficiency of Chisala’s model in predicting the moment-rotation curve for double web angle, and welded flange plate connections

Document Type : Research

Authors

1 Associate Professor, Civil Engineering Department , K. N. Toosi University of Technology, Tehran, Iran

2 MSc, Civil Engineering Department, K. N. Toosi University of Technology, Tehran, Iran

3 MSc, Fakoor Sanat Tehran Engineering Company, Tehran, Iran

Abstract

This research investigates the efficiency of Chisala’s model in predicting the moment-rotation curve for double web angle and welded flange plate connections. As many types of connections of steel structures exhibit a semi-rigid (neither totally hinge, nor completely rigid) flexural performance, the determination of their moment-rotation curve is of vital importance since it provides a better vision for structural engineers. In this regard, analytical models of the types of connections mentioned in the title, with components of varying dimensions were created to derive the values of necessary parameters of Chisala’s model. Using the obtained values, the moment-rotation curve for each type of connection was presented. As a means of verification, finite element analysis using Abaqus software was also carried out on each corresponding analytical model. A statistically derived relation, in terms of the parameters of Chisala’s model, was then obtained, utilizing linear regression analysis, and was used afterward, to illustrate the moment-rotation curve for each type of connection. The comparison of moment rotation curves obtained both from analytical models and finite element analysis (FEA) suggest that Chisala’s model is quite efficient and precise when used to illustrate the moment-rotation curve for double web angle and welded flange plate connections, and it can predict moment or rotation values, should the necessary parameters be obtained using a well-defined equivalent analytical model.

Keywords

Main Subjects

References

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Numerical Methods in Civil Engineering
Volume 8, Issue 1
September 2023
Pages 79-101

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History

  • Receive Date: 24 March 2023
  • Revise Date: 26 June 2023
  • Accept Date: 05 July 2023

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