Analytical and Numerical Investigation of Cold Formed Steel Beam and Optimization of Parameter by DOE and SAA

Authors

  • Nikahat Parveen Department of Structural Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India
  • Md. Parvez Aalam Department of Structural Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India

Keywords:

Steel beam

Abstract

The current research work is based on the analysis of cold formed steel channel beam under the static loading condition. Cold-framed steel structure components have generally been utilized as auxiliary load conveying individuals in a wide scope of uses as rooftop purlins, divider girts, stud dividers and cladding. An analytical method has applied to find out the most suitable and appropriate size of channel section and also finding the sustainable loading condition. Todays the analytical and experimental method is not suitable for new design and analysis to find out the behavior and performance of assembly due to its time, money and effort. It is complicated to investigate the behavior of beam under the certain boundary condition. A virtual environment of simulation of such model is available which is called FEA. Modelling and assembly of the beam is done by using the CATIA software and then whole assembly was simulated with given boundary condition in static structure workbench. The outcome result of simulation shows vary good agreement with analytical method. Once the validation is done, the design of experiment process has applied to find out the feasible combination of web and flange under the same boundary condition then we move on the optimization technique by using SAA algorithm to find out the most optimum configuration of web and flange.

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Published

2021-02-22

How to Cite

[1]
N. Parveen and M. P. Aalam, “Analytical and Numerical Investigation of Cold Formed Steel Beam and Optimization of Parameter by DOE and SAA”, International Journal of Research in Engineering, Science and Management, vol. 4, no. 2, pp. 92–95, Feb. 2021, Accessed: Mar. 03, 2021. [Online]. Available: https://www.journals.resaim.com/ijresm/article/view/512.

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